BibSLEIGH
BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
EDIT!
CC-BY
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
personalisation
Google personalisation

Tag #personalisation

520 papers:

EDMEDM-2019-ShaikhMWR #student
Balancing Student Success and Inferring Personalized Effects in Dynamic Experiments (HS, AM, JJW, ANR).
ICSMEICSME-2019-NguyenVN #recommendation
Personalized Code Recommendation (TN, PV, TN), pp. 313–317.
FDGFDG-2019-SnodgrassMHRHH #framework
Like PEAS in PoDS: the player, environment, agents, system framework for the personalization of digital systems (SS, OM, JH, GRR, CH, CH), p. 15.
CIKMCIKM-2019-AiHVC
A Zero Attention Model for Personalized Product Search (QA, DNH, SVNV, WBC), pp. 379–388.
CIKMCIKM-2019-EladGNKR #learning
Learning to Generate Personalized Product Descriptions (GE, IG, SN, BK, KR), pp. 389–398.
CIKMCIKM-2019-OppoldH #data-driven #named
LuPe: A System for Personalized and Transparent Data-driven Decisions (SO, MH), pp. 2905–2908.
CIKMCIKM-2019-SuCCZ0
Personalized Route Description Based On Historical Trajectories (HS, GC, WC, BZ, KZ0), pp. 79–88.
CIKMCIKM-2019-XiaoRMSL #learning #metric
Dynamic Bayesian Metric Learning for Personalized Product Search (TX, JR, ZM, HS, SL), pp. 1693–1702.
ICMLICML-2019-BarrosPW #memory management #recognition
A Personalized Affective Memory Model for Improving Emotion Recognition (PVAB, GIP, SW), pp. 485–494.
KDDKDD-2019-ChenHXGGSLPZZ #generative #named #recommendation
POG: Personalized Outfit Generation for Fashion Recommendation at Alibaba iFashion (WC, PH, JX, XG, CG, FS, CL, AP, HZ, BZ), pp. 2662–2670.
KDDKDD-2019-ChenLZYZ0 #e-commerce #generative #knowledge-based #towards
Towards Knowledge-Based Personalized Product Description Generation in E-commerce (QC, JL, YZ, HY, JZ, JT0), pp. 3040–3050.
KDDKDD-2019-DeyZSN #effectiveness #named #predict
PerDREP: Personalized Drug Effectiveness Prediction from Longitudinal Observational Data (SD, PZ, DS, KN), pp. 1258–1268.
KDDKDD-2019-KrausF #predict #sequence
Personalized Purchase Prediction of Market Baskets with Wasserstein-Based Sequence Matching (MK, SF), pp. 2643–2652.
KDDKDD-2019-LiuTZLDX #multi #named #recommendation
Hydra: A Personalized and Context-Aware Multi-Modal Transportation Recommendation System (HL, YT, PZ, XL, JD, HX), pp. 2314–2324.
KDDKDD-2019-QinZZXZMZX #named #perspective #recommendation
DuerQuiz: A Personalized Question Recommender System for Intelligent Job Interview (CQ, HZ, CZ, TX, FZ, CM, JZ, HX), pp. 2165–2173.
KDDKDD-2019-ShiZYLSJ #markov #modelling #sequence
State-Sharing Sparse Hidden Markov Models for Personalized Sequences (HS, CZ0, QY, YL0, FS, DJ), pp. 1549–1559.
KDDKDD-2019-WangWZPL #algorithm #network #recommendation
Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation (JW, NW, WXZ, FP, XL), pp. 539–547.
KDDKDD-2019-WuWAHHX #named #recommendation
NPA: Neural News Recommendation with Personalized Attention (CW, FW, MA, JH, YH, XX0), pp. 2576–2584.
KDDKDD-2019-XiaoZPSZ0 #recommendation #similarity #social
Beyond Personalization: Social Content Recommendation for Creator Equality and Consumer Satisfaction (WX, HZ, HP, YS, VWZ, QY0), pp. 235–245.
KDDKDD-2019-ZhaoZWGGQNCL #learning #multi
Personalized Attraction Enhanced Sponsored Search with Multi-task Learning (WZ0, BZ, BW, ZG, WG, GQ, WN, JC, HL), pp. 2632–2642.
KDDKDD-2019-ZhouMZ #memory management #network #recommendation #topic
Topic-Enhanced Memory Networks for Personalised Point-of-Interest Recommendation (XZ, CM, ZZ), pp. 3018–3028.
PADLPADL-2019-KahramanE #programming #set #using
Personalized Course Schedule Planning Using Answer Set Programming (MKK, EE0), pp. 37–45.
CASECASE-2019-ZhouWXS00G #approach #learning #modelling #predict
A Model-Driven Learning Approach for Predicting the Personalized Dynamic Thermal Comfort in Ordinary Office Environment (YZ, XW, ZX, YS, TL0, CS0, XG), pp. 739–744.
JCDLJCDL-2018-Kennard
Computer-Assisted Crowd Transcription of the U.S. Census with Personalized Assignments for Better Accuracy and Participation (DJK), pp. 41–44.
EDMEDM-2018-BackenkohlerSSW #approach #data-driven #education #towards
Data-Driven Approach Towards a Personalized Curriculum (MB, FS, AS, VW).
CoGCIG-2018-SpyrouVPAL #learning
Exploiting IoT Technologies for Personalized Learning (ES, NV, AP, SA, HCL), pp. 1–8.
FDGFDG-2018-BlomBS #tablet
Personalized crisis management training on a tablet (PMB, SB, PS), p. 10.
CIKMCIKM-2018-GeDJNW #using
Personalizing Search Results Using Hierarchical RNN with Query-aware Attention (SG, ZD, ZJ, JYN, JRW), pp. 347–356.
CIKMCIKM-2018-GeyikDMS
In-Session Personalization for Talent Search (SCG, VD, MM, RS), pp. 2107–2115.
CIKMCIKM-2018-KuhlmanVDNDPRH #interactive #ranking
Preference-driven Interactive Ranking System for Personalized Decision Support (CK, MVV, DD, MN, GD, ZP, EAR, LH), pp. 1931–1934.
CIKMCIKM-2018-ZhouYWBEYZW #named #network #ranking
PRRE: Personalized Relation Ranking Embedding for Attributed Networks (SZ, HY, XW0, JB, ME, PY, JZ, CW0), pp. 823–832.
ICPRICPR-2018-ElNakiebNSDMSEK #towards
Towards Personalized Autism Diagnosis: Promising Results (YE, MN, AS0, OD, AMM, AS, AE, RK, MG, AK, GB, AEB), pp. 3862–3867.
ICPRICPR-2018-MartinezPSLBP #functional #kernel #multi #recognition
Multi-task multiple kernel machines for personalized pain recognition from functional near-infrared spectroscopy brain signals (DLM, KP, SCS, AJL, DB, RWP), pp. 2320–2325.
KDDKDD-2018-CardosoDV #learning #recommendation #semistructured data #towards
Product Characterisation towards Personalisation: Learning Attributes from Unstructured Data to Recommend Fashion Products (ÂC, FD, SV), pp. 80–89.
KDDKDD-2018-GrbovicC #ranking #realtime #using
Real-time Personalization using Embeddings for Search Ranking at Airbnb (MG, HC), pp. 311–320.
ASEASE-2018-Ye0WW #crowdsourcing #developer #recommendation
Personalized teammate recommendation for crowdsourced software developers (LY, HS0, XW, JW), pp. 808–813.
EDMEDM-2017-AdjeiOEH #clustering #student
Clustering Students in ASSISTments: Exploring System- and School-Level Traits to Advance Personalization (SA, KO, EE, NTH).
EDMEDM-2017-MichalenkoLB #feedback #memory management #network #using
Personalized Feedback for Open-Response Mathematical Questions using Long Short-Term Memory Networks (JJM, ASL, RGB).
EDMEDM-2017-YinBPHZ #detection #empirical
Causal Forest vs. Naive Causal Forest in Detecting Personalization: An Empirical Study in ASSISTments (BY, AFB, TP, NTH, JZ).
ICSMEICSME-2017-XuSHL #git #named #recommendation
REPERSP: Recommending Personalized Software Projects on GitHub (WX, XS, JH, BL0), pp. 648–652.
AIIDEAIIDE-2017-WangRMML #behaviour #data-driven #interactive #simulation
Simulating Player Behavior for Data-Driven Interactive Narrative Personalization (PW, JPR, WM, BWM, JCL), pp. 255–261.
CoGVS-Games-2017-DiasKDBCHSFIDGH #framework #game studies
Serious games as a means for holistically supporting Parkinson's Disease patients: The i-PROGNOSIS personalized game suite framework (SBD, EK, JAD, PDB, VSC, SH, MS, PF, II, KD, NG, LJH), pp. 237–244.
CoGVS-Games-2017-KonstantinidisB #game studies #towards
The interplay between IoT and serious games towards personalised healthcare (EIK, ASB, ITP, PDB), pp. 249–252.
CIKMCIKM-2017-DengCFNY #assessment #image
Personalized Image Aesthetics Assessment (XD, CC, HF, XN, YY), pp. 2043–2046.
CIKMCIKM-2017-DingZLTCZ #named #network #ranking #recommendation
BayDNN: Friend Recommendation with Bayesian Personalized Ranking Deep Neural Network (DD, MZ0, SYL, JT0, XC, ZHZ), pp. 1479–1488.
CIKMCIKM-2017-Gupta0M #network #ranking
Interest Diffusion in Heterogeneous Information Network for Personalized Item Ranking (MG, PK0, RM), pp. 2087–2090.
CIKMCIKM-2017-LeiLLZ #learning #ranking
Alternating Pointwise-Pairwise Learning for Personalized Item Ranking (YL, WL0, ZL, MZ), pp. 2155–2158.
CIKMCIKM-2017-LeL #performance #ranking #recommendation
Indexable Bayesian Personalized Ranking for Efficient Top-k Recommendation (DDL, HWL), pp. 1389–1398.
CIKMCIKM-2017-LiuH #adaptation #framework #multi #predict
A Personalized Predictive Framework for Multivariate Clinical Time Series via Adaptive Model Selection (ZL, MH), pp. 1169–1177.
CIKMCIKM-2017-ManotumruksaMO17a #framework #multi #ranking #recommendation
A Personalised Ranking Framework with Multiple Sampling Criteria for Venue Recommendation (JM, CM, IO), pp. 1469–1478.
CIKMCIKM-2017-RemusKBLB #knowledge base #named #web
Storyfinder: Personalized Knowledge Base Construction and Management by Browsing the Web (SR, MK, KB, TvL, CB), pp. 2519–2522.
CIKMCIKM-2017-XiaoMZLM #learning #recommendation #social
Learning and Transferring Social and Item Visibilities for Personalized Recommendation (XL0, MZ0, YZ, YL, SM), pp. 337–346.
ECIRECIR-2017-AliannejadiRC #keyword #multi
Personalized Keyword Boosting for Venue Suggestion Based on Multiple LBSNs (MA, DR, FC), pp. 291–303.
ECIRECIR-2017-AmerMG #modelling #social
Personalized Parsimonious Language Models for User Modeling in Social Bookmaking Systems (NOA, PM, MG), pp. 582–588.
ECIRECIR-2017-SepliarskaiaRR #behaviour
Simple Personalized Search Based on Long-Term Behavioral Signals (AS, FR, MdR), pp. 95–107.
ECIRECIR-2017-VuNJSW
Search Personalization with Embeddings (TV, DQN, MJ0, DS0, AW), pp. 598–604.
ICMLICML-2017-Kallus #clustering #recursion #using
Recursive Partitioning for Personalization using Observational Data (NK), pp. 1789–1798.
KDDKDD-2017-0001YXWY #approximate #effectiveness #named #rank
FORA: Simple and Effective Approximate Single-Source Personalized PageRank (SW0, RY, XX, ZW, YY), pp. 505–514.
CASECASE-2017-ChenXZX #big data #health #quality
Big data analytic based personalized air quality health advisory model (LC, JX, LZ, YX), pp. 88–93.
EDMEDM-2016-LanB #framework #learning
A Contextual Bandits Framework for Personalized Learning Action Selection (ASL, RGB), pp. 424–429.
EDMEDM-2016-RaffertyJG #feedback #using
Using Inverse Planning for Personalized Feedback (ANR, RJ, TLG), pp. 472–477.
EDMEDM-2016-SunY #community #learning #online
Personalization of Learning Paths in Online Communities of Creators (MS, SY), pp. 513–516.
EDMEDM-2016-Wang #concept #design #interactive #learning
Designing Interactive and Personalized Concept Mapping Learning Environments (SW0), pp. 678–680.
CoGCIG-2016-GeorgiouD #design #game studies
Personalised track design in car racing games (TG, YD), pp. 1–8.
CIKMCIKM-2016-Dumais
Personalized Search: Potential and Pitfalls (STD), p. 689.
CIKMCIKM-2016-EbrahimiD #semantics #word
Personalized Semantic Word Vectors (JE, DD), pp. 1925–1928.
CIKMCIKM-2016-LiuLLC #composition #named #random #rank #scalability
PowerWalk: Scalable Personalized PageRank via Random Walks with Vertex-Centric Decomposition (QL, ZL, JCSL, JC), pp. 195–204.
CIKMCIKM-2016-PiaoB #concept #modelling #recommendation #twitter
User Modeling on Twitter with WordNet Synsets and DBpedia Concepts for Personalized Recommendations (GP, JGB), pp. 2057–2060.
CIKMCIKM-2016-WangLCLV #recommendation
Improving Personalized Trip Recommendation by Avoiding Crowds (XW, CL, JC, KHL0, TV), pp. 25–34.
CIKMCIKM-2016-WuL
Where Did You Go: Personalized Annotation of Mobility Records (FW0, ZL), pp. 589–598.
CIKMCIKM-2016-XuCLMM #recommendation #semantics #similarity #using
Tag-Aware Personalized Recommendation Using a Deep-Semantic Similarity Model with Negative Sampling (ZX, CC0, TL, YM, XM), pp. 1921–1924.
ICMLICML-2016-MirzasoleimanBK #performance #summary
Fast Constrained Submodular Maximization: Personalized Data Summarization (BM, AB, AK), pp. 1358–1367.
KDDKDD-2016-LiAHS #how #ranking
How to Get Them a Dream Job?: Entity-Aware Features for Personalized Job Search Ranking (JL, DA, VHT, SS), pp. 501–510.
KDDKDD-2016-ZhangLG #approximate #graph #rank
Approximate Personalized PageRank on Dynamic Graphs (HZ, PL, AG), pp. 1315–1324.
GPCEGPCE-2016-PereiraMKSS #product line #recommendation
A feature-based personalized recommender system for product-line configuration (JAP, PM, SK, MS, GS), pp. 120–131.
HTHT-2015-SalehiDA #web
Examining Personalization in Academic Web Search (SS, JTD, HA), pp. 103–111.
EDMEDM-2015-BahargamEBT #education #problem #scheduling
Personalized Education; Solving a Group Formation and Scheduling Problem for Educational Content (SB, DE, AB, ET), pp. 488–491.
EDMEDM-2015-XiongB
Improving Long-Term Retention Level in an Environment of Personalized Expanding Intervals (XX, JBB), pp. 582–583.
CHI-PLAYCHI-PLAY-2015-BuschMOMHLNT #game studies #interactive #persuasion
Personalization in Serious and Persuasive Games and Gamified Interactions (MB, EEM, RO, AM, WH, ML, LEN, MT), pp. 811–816.
CHICHI-2015-DasZR #game studies
Examining Game World Topology Personalization (SD, AZ, MOR), pp. 3731–3734.
CHICHI-2015-FowlerPCBOZ #modelling #performance #type system
Effects of Language Modeling and its Personalization on Touchscreen Typing Performance (AF, KP, CC, XB, TO, SZ), pp. 649–658.
CHICHI-2015-MaluF #artificial reality #smarttech
Personalized, Wearable Control of a Head-mounted Display for Users with Upper Body Motor Impairments (MM, LF), pp. 221–230.
CHICHI-2015-MejovaBW
Bridges into the Unknown: Personalizing Connections to Little-known Countries (YM, JBH, IW), pp. 2633–2642.
CHICHI-2015-NguyenNIO #topic
The Known Stranger: Supporting Conversations between Strangers with Personalized Topic Suggestions (TTN, DTN, STI, EO), pp. 555–564.
HCIHCI-IT-2015-LeeJ
Personalization Through Personification — Factors that Influence Personification of Handheld Devices (JML, DYJ), pp. 440–447.
HCIHCI-UC-2015-JeongJ #on the #performance
On Time: Efficient and Personalized Hospital Service (SYJ, DYJ), pp. 190–197.
HCIHIMI-IKC-2015-BrunsVGZS #recommendation #visual notation #what
What Should I Read Next? A Personalized Visual Publication Recommender System (SB, ACV, CG, MZ, US), pp. 89–100.
HCILCT-2015-PyperLWJ #mobile #using
The Potential Use of the Flexilevel Test in Providing Personalised Mobile E-Assessments (AP, ML, PW, AJ), pp. 271–278.
HCILCT-2015-SalazarOD #adaptation #education #mobile #multi #ubiquitous #using
Adaptive and Personalized Educational Ubiquitous Multi-Agent System Using Context-Awareness Services and Mobile Devices (OMS, DAO, NDD), pp. 301–312.
HCISCSM-2015-BramanD #framework
Utilizing Virtual Worlds for Personalized Search: Developing the PAsSIVE Framework (JB, CD), pp. 3–11.
CIKMCIKM-2015-AryaHS
Personalized Federated Search at LinkedIn (DA, VHT, SS), pp. 1699–1702.
CIKMCIKM-2015-LiangB #probability #rating #recommendation
A Probabilistic Rating Auto-encoder for Personalized Recommender Systems (HL, TB), pp. 1863–1866.
CIKMCIKM-2015-PreumSQ #adaptation #behaviour #multi #named #predict
MAPer: A Multi-scale Adaptive Personalized Model for Temporal Human Behavior Prediction (SMP, JAS, YQ), pp. 433–442.
CIKMCIKM-2015-ShiZLYYW #network #recommendation #semantics
Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks (CS, ZZ, PL, PSY, YY, BW0), pp. 453–462.
CIKMCIKM-2015-SongCYL #recommendation
Personalized Recommendation Meets Your Next Favorite (QS, JC0, TY, HL), pp. 1775–1778.
CIKMCIKM-2015-ZhangLWS #nondeterminism #recommendation
Personalized Trip Recommendation with POI Availability and Uncertain Traveling Time (CZ, HL, KW0, JS), pp. 911–920.
CIKMCIKM-2015-ZhaoMK #modelling #recommendation
Improving Latent Factor Models via Personalized Feature Projection for One Class Recommendation (TZ, JJM, IK), pp. 821–830.
ECIRECIR-2015-HarveyC #exclamation #hashtag #twitter
Long Time, No Tweets! Time-aware Personalised Hashtag Suggestion (MH, FC), pp. 581–592.
ECIRECIR-2015-VerberneSJK #interactive #query #simulation
User Simulations for Interactive Search: Evaluating Personalized Query Suggestion (SV, MS, KJ, WK), pp. 678–690.
ECIRECIR-2015-VuWTS #topic
Temporal Latent Topic User Profiles for Search Personalisation (TTV, AW, SNT, DS), pp. 605–616.
ICMLICML-2015-AvronH #community #detection #rank #using
Community Detection Using Time-Dependent Personalized PageRank (HA, LH), pp. 1795–1803.
KDDKDD-2015-AgarwalCHHLMSTY
Personalizing LinkedIn Feed (DA, BCC, QH, ZH, GL, YM, PS, HPT, JY, LZ), pp. 1651–1660.
KDDKDD-2015-BerkovskyF #recommendation #web
Web Personalization and Recommender Systems (SB, JF), pp. 2307–2308.
KDDKDD-2015-FanEWAH #health
Hierarchical Graph-Coupled HMMs for Heterogeneous Personalized Health Data (KF, ME, AW, AA, KAH), pp. 239–248.
KDDKDD-2015-MiaoCTZYB #distributed
Distributed Personalization (XM, CTC, LT, YZ, JY, AB), pp. 1989–1998.
KDDKDD-2015-XieBDG #performance #rank
Edge-Weighted Personalized PageRank: Breaking A Decade-Old Performance Barrier (WX, DB, AJD, JG), pp. 1325–1334.
RecSysRecSys-2015-AuteriT #linear
Personalized Catch-up & DVR: VOD or Linear, That is the Question (PA, RT), p. 227.
RecSysRecSys-2015-ChaneyBE #network #probability #recommendation #social #using
A Probabilistic Model for Using Social Networks in Personalized Item Recommendation (AJBC, DMB, TER), pp. 43–50.
RecSysRecSys-2015-Guy #recommendation
The Role of User Location in Personalized Search and Recommendation (IG), p. 236.
RecSysRecSys-2015-HarveyE #automation #recommendation
Automated Recommendation of Healthy, Personalised Meal Plans (MH, DE), pp. 327–328.
RecSysRecSys-2015-KazaiCYV
A Personalised Reader for Crowd Curated Content (GK, DC, IY, MV), pp. 325–326.
RecSysRecSys-2015-LuC #recommendation
Exploiting Geo-Spatial Preference for Personalized Expert Recommendation (HL, JC), pp. 67–74.
RecSysRecSys-2015-ZhaoZFT #e-commerce #recommendation
E-commerce Recommendation with Personalized Promotion (QZ, YZ, DF, FT), pp. 219–226.
SIGIRSIGIR-2015-LuZZW #recommendation
Exploiting User and Business Attributes for Personalized Business Recommendation (KL, YZ, LZ, SW), pp. 891–894.
SIGIRSIGIR-2015-Makhani
Structure, Personalization, Scale: A Deep Dive into LinkedIn Search (AM), p. 1081.
SIGIRSIGIR-2015-SunXZLGX #multi #recommendation
Multi-source Information Fusion for Personalized Restaurant Recommendation (JS, YX, YZ, JL, CG, HX), pp. 983–986.
SIGIRSIGIR-2015-TangJLZL #recommendation
Personalized Recommendation via Parameter-Free Contextual Bandits (LT, YJ, LL, CZ, TL), pp. 323–332.
SIGIRSIGIR-2015-WhiteA
Personalizing Search on Shared Devices (RWW, AHA), pp. 523–532.
SIGIRSIGIR-2015-XuWW #collaboration #ranking #recommendation #semantics
Personalized Semantic Ranking for Collaborative Recommendation (SX, SW, LW), pp. 971–974.
SIGIRSIGIR-2015-ZhangCQZL #multi #recommendation #similarity
When Personalization Meets Conformity: Collective Similarity based Multi-Domain Recommendation (XZ, JC, SQ, ZZ, HL), pp. 1019–1022.
SACSAC-2015-AissiGSS #evaluation #framework #query #recommendation
Personalized recommendation of SOLAP queries: theoretical framework and experimental evaluation (SA, MSG, TS, LBS), pp. 1008–1014.
SACSAC-2015-DarabiG #summary #using #video
Personalized video summarization using sift (KD, GG), pp. 1252–1256.
SACSAC-2015-DominguesSBMPR #metadata #multi #ranking #recommendation
Applying multi-view based metadata in personalized ranking for recommender systems (MAD, CVS, FMMB, MGM, MGCP, SOR), pp. 1105–1107.
SACSAC-2015-LiZL #mobile #network #social
Integrating mobile sensing and social network for personalized health-care application (HL, QZ, KL), pp. 527–534.
SACSAC-2015-SeifertSG #set #towards
Towards a feature-rich data set for personalized access to long-tail content (CS, JS, MG), pp. 1031–1038.
DATEDATE-2015-Bogdan #approach #challenge #cyber-physical #manycore #platform
A cyber-physical systems approach to personalized medicine: challenges and opportunities for noc-based multicore platforms (PB), pp. 253–258.
DATEDATE-2015-IbrahimC #fault
Error recovery in digital microfluidics for personalized medicine (MI, KC), pp. 247–252.
DocEngDocEng-2014-ChamunPJOM #web
Extracting web content for personalized presentation (RC, DP, DJ, JBSdO, IHM), pp. 157–164.
HTHT-2014-KoidlCW #independence
Cross-site personalization: assisting users in addressing information needs that span independently hosted websites (KK, OC, VW), pp. 66–76.
HTHT-2014-TrevisiolCB #recommendation
Buon appetito: recommending personalized menus (MT, LC, RABY), pp. 327–329.
JCDLJCDL-2014-OtegiAC #rank #recommendation
Personalised PageRank for making recommendations in digital cultural heritage collections (AO, EA, PDC), pp. 49–52.
VLDBVLDB-2014-DaiQJWW #recommendation
A Personalized Recommendation System for NetEase Dating Site (CD, FQ, WJ, ZW, ZW), pp. 1760–1765.
VLDBVLDB-2014-MaeharaAIK #graph #rank
Computing Personalized PageRank Quickly by Exploiting Graph Structures (TM, TA, YI, KiK), pp. 1023–1034.
EDMEDM-2014-LanSB #learning #matrix
Quantized Matrix Completion for Personalized Learning (ASL, CS, RGB), pp. 280–283.
EDMEDM-2014-Segal #design
Personalization and Incentive Design in E-Learning Systems (AS), pp. 455–457.
EDMEDM-2014-SegalKGSS #approach #collaboration #named
EduRank: A Collaborative Filtering Approach to Personalization in E-learning (AS, ZK, KG, GS, BS), pp. 68–75.
SIGITESIGITE-2014-Halstead-Nussloch #student
Improving student success through personalization and customization (RHN, JAP, HR), pp. 77–80.
SIGITESIGITE-2014-RytikovaB #learning
A methodology for personalized competency-based learning in undergraduate courses (IR, MB), pp. 81–86.
AIIDEAIIDE-2014-AversaV #abstraction
Belief-Driven Pathfinding through Personalized Map Abstraction (DA, SV).
AIIDEAIIDE-2014-BlomBTWRVG #game studies #recognition #towards
Towards Personalised Gaming via Facial Expression Recognition (PMB, SB, CTT, SW, DMR, RV, TG).
CHI-PLAYCHI-PLAY-2014-RihawiAG #game studies
Dodging stress with a personalized biofeedback game (RGAR, BA, RGO), pp. 399–400.
FDGFDG-2014-BakkesW #challenge #design #game studies
Design criteria for challenge balancing of personalised game spaces (SB, SW).
CHICHI-2014-DaviesLCEFKS #network #pervasive #privacy
Personalisation and privacy in future pervasive display networks (ND, ML, SC, IE, AF, TK, BS), pp. 2357–2366.
CHICHI-2014-KobsaKL #behaviour #privacy
Let’s do it at my place instead?: attitudinal and behavioral study of privacy in client-side personalization (AK, BPK, BL), pp. 81–90.
HCIDUXU-DP-2014-ShafiqCIFAAI #design #effectiveness #interactive #visual notation
Skill Specific Spoken Dialogues Based Personalized ATM Design to Maximize Effective Interaction for Visually Impaired Persona (MS, JGC, MI, MF, MA, IA, AI), pp. 446–457.
HCIDUXU-ELAS-2014-AldazHSSL #experience #user interface
User Experience in Training a Personalized Hearing System (GA, TH, DS, MS, LJL), pp. 3–14.
HCIDUXU-ELAS-2014-FordSCT #energy
Personalized Energy Priorities: A User-Centric Application for Energy Advice (RF, OS, AC, PT), pp. 542–553.
HCIDUXU-ELAS-2014-SharmaMTZRTGJ #named #smarttech
SPARK: Personalized Parkinson Disease Interventions through Synergy between a Smartphone and a Smartwatch (VS, KM, FDlT, AZ, NR, TGNT, RG, SJ), pp. 103–114.
HCIHCI-TMT-2014-SantanaB
Log-Based Personalization Tool as an Assistive Technology (VFdS, MCCB), pp. 433–444.
HCIHIMI-DE-2014-HarbaouiSGG #community #information retrieval
Personalized Information Retrieval: Application to Virtual Communities (AH, SS, MG, HHBG), pp. 431–438.
HCILCT-NLE-2014-LimongelliS #fuzzy #modelling #student
Fuzzy Student Modeling for Personalization of e-Learning Courses (CL, FS), pp. 292–301.
HCILCT-NLE-2014-MansorAA #design #profiling
Slow Learner Children Profiling for Designing Personalized eBook (MM, WAWA, NA), pp. 302–311.
CIKMCIKM-2014-CaiLR #query
Time-sensitive Personalized Query Auto-Completion (FC, SL, MdR), pp. 1599–1608.
CIKMCIKM-2014-DeveaudAMMO #named #recommendation
SmartVenues: Recommending Popular and Personalised Venues in a City (RD, MDA, JM, CM, IO), pp. 2078–2080.
CIKMCIKM-2014-LiHCS #composition
Focusing Decomposition Accuracy by Personalizing Tensor Decomposition (PTD) (XL, SH, KSC, MLS), pp. 689–698.
CIKMCIKM-2014-WangGL #modelling #recommendation #transaction
Modeling Retail Transaction Data for Personalized Shopping Recommendation (PW, JG, YL), pp. 1979–1982.
CIKMCIKM-2014-ZhaoMK #collaboration #ranking #social
Leveraging Social Connections to Improve Personalized Ranking for Collaborative Filtering (TZ, JJM, IK), pp. 261–270.
ECIRECIR-2014-ChenWHY #modelling #ranking #social #social media
Facet-Based User Modeling in Social Media for Personalized Ranking (CC, DW, CH, XY), pp. 443–448.
ECIRECIR-2014-MakeevPS
Personalizing Aggregated Search (SM, AP, PS), pp. 197–209.
ECIRECIR-2014-RikitianskiiHC #recommendation
A Personalised Recommendation System for Context-Aware Suggestions (AR, MH, FC), pp. 63–74.
ECIRECIR-2014-YounusOP #approach #behaviour #microblog #modelling
A Language Modeling Approach to Personalized Search Based on Users’ Microblog Behavior (AY, CO, GP), pp. 727–732.
ICPRICPR-2014-ManzatoDMR #feedback #ranking #recommendation #topic
Improving Personalized Ranking in Recommender Systems with Topic Hierarchies and Implicit Feedback (MGM, MAD, RMM, SOR), pp. 3696–3701.
ICPRICPR-2014-OhPKHB #analysis #image #social
Personalized Economy of Images in Social Forums: An Analysis on Supply, Consumption, and Saliency (SO, MP, IK, AH, JB), pp. 2011–2016.
KDDKDD-2014-LiangRR #learning
Personalized search result diversification via structured learning (SL, ZR, MdR), pp. 751–760.
KDDKDD-2014-LofgrenBGC #estimation #graph #named #rank #scalability
FAST-PPR: scaling personalized pagerank estimation for large graphs (PL, SB, AG, SC), pp. 1436–1445.
KDDKDD-2014-Subramaniam #e-commerce
Frontiers in E-commerce personalization (SS), p. 1516.
KDDKDD-2014-WuZTH0 #crowdsourcing #modelling #topic #using #video
Crowdsourced time-sync video tagging using temporal and personalized topic modeling (BW, EZ, BT, AH, QY), pp. 721–730.
KDIRKDIR-2014-BesbesZG #fuzzy #information retrieval #ontology
Fuzzy Ontology-based System for Personalized Information Retrieval (GB, HBZ, HBG), pp. 286–293.
KDIRKDIR-2014-MeguebliKDP14a #recommendation
Stories Around You — A Two-Stage Personalized News Recommendation (YM, MK, BLD, FP), pp. 473–479.
RecSysRecSys-2014-GaoTL #network #recommendation #social
Personalized location recommendation on location-based social networks (HG, JT, HL), pp. 399–400.
RecSysRecSys-2014-GarcinGF #mobile #named
Focal: a personalized mobile news reader (FG, FG, BF), pp. 369–370.
RecSysRecSys-2014-LercheJ #feedback #ranking #using
Using graded implicit feedback for bayesian personalized ranking (LL, DJ), pp. 353–356.
RecSysRecSys-2014-Mayeku #recommendation
Enhancing personalization and learner engagement through context-aware recommendation in TEL (BM), pp. 413–415.
RecSysRecSys-2014-TangJLL #recommendation
Ensemble contextual bandits for personalized recommendation (LT, YJ, LL, TL), pp. 73–80.
RecSysRecSys-2014-YiHZLR
Beyond clicks: dwell time for personalization (XY, LH, EZ, NNL, SR), pp. 113–120.
SIGIRSIGIR-2014-CaiLR #documentation #matrix #probability #ranking
Personalized document re-ranking based on Bayesian probabilistic matrix factorization (FC, SL, MdR), pp. 835–838.
SIGIRSIGIR-2014-ChengSM #adaptation #music #named #recommendation #social
Just-for-me: an adaptive personalization system for location-aware social music recommendation (ZC, JS, TM), pp. 1267–1268.
SIGIRSIGIR-2014-Ifada #modelling #recommendation #topic #using
A tag-based personalized item recommendation system using tensor modeling and topic model approaches (NI), p. 1280.
SIGIRSIGIR-2014-QiuCYLL #learning #ranking
Item group based pairwise preference learning for personalized ranking (SQ, JC, TY, CL, HL), pp. 1219–1222.
SIGIRSIGIR-2014-SinglaWHH #process
Enhancing personalization via search activity attribution (AS, RWW, AHA, EH), pp. 1063–1066.
SIGIRSIGIR-2014-VoseckyLN #collaboration #modelling #topic #twitter
Collaborative personalized Twitter search with topic-language models (JV, KWTL, WN), pp. 53–62.
SIGIRSIGIR-2014-VuSWTL
Improving search personalisation with dynamic group formation (TTV, DS, AW, SNT, JL), pp. 951–954.
SIGIRSIGIR-2014-WuMHR #image #learning
Learning to personalize trending image search suggestion (CCW, TM, WHH, YR), pp. 727–736.
SIGIRSIGIR-2014-YanCW #modelling
Cohort modeling for enhanced personalized search (JY, WC, RWW), pp. 505–514.
SACSAC-2014-AdibuzzamanAL #monitoring #smarttech #using
A personalized model for monitoring vital signs using camera of the smart phone (MA, SIA, RL), pp. 444–449.
SACSAC-2014-ChallcoI #authoring #design #learning #towards
Towards a learning design authoring tool that generates personalized units of learning for CSCL (GCC, SI), pp. 778–780.
SACSAC-2014-JuniorGM #collaboration #constraints #modelling
Personalized collaborative filtering: a neighborhood model based on contextual constraints (EBSJ, RG, MGM), pp. 919–924.
SACSAC-2014-ShangHHCK #recommendation #towards
Beyond personalization and anonymity: towards a group-based recommender system (SS, YH, PH, PC, SRK), pp. 266–273.
HTHT-2013-YangZYW #recommendation #sentiment
A sentiment-enhanced personalized location recommendation system (DY, DZ, ZY, ZW), pp. 119–128.
SIGMODSIGMOD-2013-FujiwaraNSMO #ad hoc #performance #rank
Efficient ad-hoc search for personalized PageRank (YF, MN, HS, TM, MO), pp. 445–456.
TPDLTPDL-2013-GiannopoulosBS #keyword #rdf
Personalizing Keyword Search on RDF Data (GG, EB, TKS), pp. 272–278.
VLDBVLDB-2013-ZhuFCY #approximate #incremental #rank
Incremental and Accuracy-Aware Personalized PageRank through Scheduled Approximation (FZ, YF, KCCC, JY), pp. 481–492.
CSEETCSEET-2013-ChimalakondaN #adaptation #education #learning #re-engineering #what
What makes it hard to teach software engineering to end users? some directions from adaptive and personalized learning (SC, KVN), pp. 324–328.
ITiCSEITiCSE-2013-ShiQC #adaptation #design #social
Designing social personalized adaptive e-learning (LS, DAQ, AIC), p. 341.
AIIDEAIIDE-2013-YuR #data-driven
Data-Driven Personalized Drama Management (HY0, MOR).
FDGFDG-2013-YuR #interactive #towards
Toward personalized guidance in interactive narratives (HY0, MR), pp. 457–458.
HCIHCI-AS-2013-MarsicoST #framework
A Framework to Support Social-Collaborative Personalized e-Learning (MDM, AS, MT), pp. 351–360.
CAiSECAiSE-2013-SutcliffeS #adaptation #modelling
Modeling Personalized Adaptive Systems (AS, PS), pp. 178–192.
CIKMCIKM-2013-GuoZZCG #network #social
Personalized influence maximization on social networks (JG, PZ, CZ, YC, LG), pp. 199–208.
CIKMCIKM-2013-LiuLAM #mining #recommendation
Personalized point-of-interest recommendation by mining users’ preference transition (XL, YL, KA, CM), pp. 733–738.
KDDKDD-2013-BouadjenekHB #framework #named #open source #platform #social #web
LAICOS: an open source platform for personalized social web search (MRB, HH, MB), pp. 1446–1449.
KDDKDD-2013-Schadt #mining
Mining the digital universe of data to develop personalized cancer therapies (EES), p. 1134.
KDIRKDIR-KMIS-2013-NartTF #automation #recommendation #using
Personalized Recommendation and Explanation by using Keyphrases Automatically extracted from Scientific Literature (DDN, CT, FF), pp. 96–103.
KEODKEOD-2013-LabadieFR #semantics
Personalized Semantic Resources — The SemComp Project Presentation and Preliminary Works (AL, SF, TR), pp. 164–169.
MLDMMLDM-2013-ChungJKL #identification #recommendation
Personalized Expert-Based Recommender System: Training C-SVM for Personalized Expert Identification (YC, HWJ, JK, JHL), pp. 434–441.
RecSysRecSys-2013-BabasCT #recommendation #what
You are what you consume: a bayesian method for personalized recommendations (KB, GC, ET), pp. 221–228.
RecSysRecSys-2013-BugaychenkoD #network #recommendation #social
Musical recommendations and personalization in a social network (DB, AD), pp. 367–370.
RecSysRecSys-2013-Dooms #generative #hybrid #recommendation
Dynamic generation of personalized hybrid recommender systems (SD), pp. 443–446.
RecSysRecSys-2013-GarcinDF #recommendation
Personalized news recommendation with context trees (FG, CD, BF), pp. 105–112.
RecSysRecSys-2013-GarcinF #framework #recommendation
PEN RecSys: a personalized news recommender systems framework (FG, BF), pp. 469–470.
RecSysRecSys-2013-Hurley #ranking
Personalised ranking with diversity (NJH), pp. 379–382.
RecSysRecSys-2013-PanCCY #recommendation #social
Diffusion-aware personalized social update recommendation (YP, FC, KC, YY), pp. 69–76.
RecSysRecSys-2013-PeraN #recommendation #what
What to read next?: making personalized book recommendations for K-12 users (MSP, YKN), pp. 113–120.
RecSysRecSys-2013-SuYCY #ranking #recommendation
Set-oriented personalized ranking for diversified top-n recommendation (RS, LY, KC, YY), pp. 415–418.
RecSysRecSys-2013-WuLCHLCH #online #recommendation
Personalized next-song recommendation in online karaokes (XW, QL, EC, LH, JL, CC, GH), pp. 137–140.
RecSysRecSys-2013-ZhangWCZ #perspective #risk management
To personalize or not: a risk management perspective (WZ, JW, BC, XZ), pp. 229–236.
SEKESEKE-2013-DuHCLH #incremental #named #recommendation
ABEY: an Incremental Personalized Method Based on Attribute Entropy for Recommender Systems (XD, TH, ZC, JL, CH), pp. 318–321.
SEKESEKE-2013-Lou0 #artificial reality #gesture #interactive #realtime #using
A Real-time Personalized Gesture Interaction System Using Wii Remote and Kinect for Tiled-Display Environment (YL, WW), pp. 131–136.
SEKESEKE-2013-MachadoMIB #education #ontology
An ontology-based user model for personalization of educational content (JBM, GLM, SI, EFB), pp. 737–740.
SIGIRSIGIR-2013-BouadjenekHB #named #ranking #social #web
Sopra: a new social personalized ranking function for improving web search (MRB, HH, MB), pp. 861–864.
SIGIRSIGIR-2013-BouadjenekHBV #documentation #representation #social #using
Using social annotations to enhance document representation for personalized search (MRB, HH, MB, AV), pp. 1049–1052.
SIGIRSIGIR-2013-RenLMR #summary #twitter
Personalized time-aware tweets summarization (ZR, SL, EM, MdR), pp. 513–522.
SIGIRSIGIR-2013-SappelliVK #recommendation #using
Recommending personalized touristic sights using google places (MS, SV, WK), pp. 781–784.
SIGIRSIGIR-2013-Shokouhi #learning #query
Learning to personalize query auto-completion (MS), pp. 103–112.
SIGIRSIGIR-2013-WangHCSWC #adaptation #ranking #web
Personalized ranking model adaptation for web search (HW, XH, MWC, YS, RWW, WC), pp. 323–332.
ASEASE-2013-JiangTK #fault #predict
Personalized defect prediction (TJ, LT, SK), pp. 279–289.
ICSEICSE-2013-BaysalHG #issue tracking
Situational awareness: personalizing issue tracking systems (OB, RH, MWG), pp. 1185–1188.
SACSAC-2013-CamposFHV #query #ranking #using #xml
XML search personalization strategies using query expansion, reranking and a search engine modification (LMdC, JMFL, JFH, EVL), pp. 872–877.
DocEngDocEng-2012-HuMBL #clustering #documentation
Personalized document clustering with dual supervision (YH, EEM, JB, SL), pp. 161–170.
DocEngDocEng-2012-JansenCGB #video
Just-in-time personalized video presentations (JJ, PC, RLG, DCAB), pp. 59–68.
JCDLJCDL-2012-Nomoto #library #ranking
Re-ranking bibliographic records for personalized library search (TN), pp. 125–128.
JCDLJCDL-2012-TanapaisankitWS #query
Personalized query expansion in the QIC system (PT, LWd, MS), pp. 259–262.
SIGMODSIGMOD-2012-GotzNG #mobile #named
MaskIt: privately releasing user context streams for personalized mobile applications (MG, SN, JG), pp. 289–300.
SIGMODSIGMOD-2012-ManiuC #collaboration #named #network #performance
Taagle: efficient, personalized search in collaborative tagging networks (SM, BC), pp. 661–664.
TPDLTPDL-2012-ZhouLW #social #using #web
Web Search Personalization Using Social Data (DZ, SL, VW), pp. 298–310.
AIIDEAIIDE-2012-ShakerYTNO #evolution #using
Evolving Personalized Content for Super Mario Bros Using Grammatical Evolution (NS, GNY, JT, MN, MO0).
CHICHI-2012-FindlaterW #adaptation #automation #type system
Personalized input: improving ten-finger touchscreen typing through automatic adaptation (LF, JOW), pp. 815–824.
CHICHI-2012-KuleszaSBK
Tell me more?: the effects of mental model soundness on personalizing an intelligent agent (TK, SS, MMB, IK), pp. 1–10.
CHICHI-2012-MalheirosJPBS #case study #effectiveness
Too close for comfort: a study of the effectiveness and acceptability of rich-media personalized advertising (MM, CJ, SP, SB, MAS), pp. 579–588.
CSCWCSCW-2012-NagpalHJL #social #using #web
Friends, romans, countrymen: lend me your URLs. using social chatter to personalize web search (AN, SH, RRJ, MSL), pp. 461–470.
CSCWCSCW-2012-PriedhorskyPST #algorithm #evaluation #recommendation
Recommending routes in the context of bicycling: algorithms, evaluation, and the value of personalization (RP, DP, SS, LGT), pp. 979–988.
CIKMCIKM-2012-KashyapAH #named #network #social
SonetRank: leveraging social networks to personalize search (AK, RA, VH), pp. 2045–2049.
CIKMCIKM-2012-LinXLHL #named #recommendation #social
PRemiSE: personalized news recommendation via implicit social experts (CL, RX, LL, ZH, TL), pp. 1607–1611.
ICPRICPR-2012-ShafeianB #retrieval #summary #video
Integrated personalized video summarization and retrieval (HS, BB), pp. 996–999.
KDDKDD-2012-BawabMC #query #recommendation #topic
Finding trending local topics in search queries for personalization of a recommendation system (ZAB, GHM, JFC), pp. 397–405.
KDDKDD-2012-El-AriniPHGA #modelling
Transparent user models for personalization (KEA, UP, RH, JVG, BAyA), pp. 678–686.
KDDKDD-2012-FengW #recommendation #social
Incorporating heterogeneous information for personalized tag recommendation in social tagging systems (WF, JW), pp. 1276–1284.
KDDKDD-2012-FujiwaraNYSO #assurance #performance #rank
Efficient personalized pagerank with accuracy assurance (YF, MN, TY, HS, MO), pp. 15–23.
RecSysRecSys-2012-AharonKLK #elicitation #recommendation
Dynamic personalized recommendation of comment-eliciting stories (MA, AK, RL, YK), pp. 209–212.
RecSysRecSys-2012-BellufXG #case study #online #recommendation #scalability
Case study on the business value impact of personalized recommendations on a large online retailer (TB, LX, RG), pp. 277–280.
RecSysRecSys-2012-Heitmann #framework #graph #multi #semantics
An open framework for multi-source, cross-domain personalisation with semantic interest graphs (BH), pp. 313–316.
RecSysRecSys-2012-KramarB
Dynamically selecting an appropriate context type for personalisation (TK, MB), pp. 321–324.
RecSysRecSys-2012-SheehanP #named #predict #student
pGPA: a personalized grade prediction tool to aid student success (MS, YP), pp. 309–310.
RecSysRecSys-2012-TakacsT #ranking
Alternating least squares for personalized ranking (GT, DT), pp. 83–90.
SIGIRSIGIR-2012-AgarwalCEW #online #recommendation
Personalized click shaping through lagrangian duality for online recommendation (DA, BCC, PE, XW), pp. 485–494.
SIGIRSIGIR-2012-BennettWCDBBC #behaviour #modelling
Modeling the impact of short- and long-term behavior on search personalization (PNB, RWW, WC, STD, PB, FB, XC), pp. 185–194.
SIGIRSIGIR-2012-ChenCZJYY #collaboration #recommendation #twitter
Collaborative personalized tweet recommendation (KC, TC, GZ, OJ, EY, YY), pp. 661–670.
SIGIRSIGIR-2012-LiuBC #behaviour #interactive #using
Personalization of search results using interaction behaviors in search sessions (CL, NJB, MJC), pp. 205–214.
SIGIRSIGIR-2012-Masys
Retrieving information from the book of humanity: the personalized medicine data tsunami crashes on the beach of jeopardy (DRM), pp. 3–4.
SIGIRSIGIR-2012-QumsiyehN #multi #predict #recommendation
Predicting the ratings of multimedia items for making personalized recommendations (RQ, YKN), pp. 475–484.
SIGIRSIGIR-2012-ValletC
Personalized diversification of search results (DV, PC), pp. 841–850.
SACSAC-2012-ReichertKBB #process #scalability #visualisation
Enabling personalized visualization of large business processes through parameterizable views (MR, JK, RB, TB), pp. 1653–1660.
SACSAC-2012-ShatnawiM #online #overview #statistics
Statistical techniques for online personalized advertising: a survey (MS, NM), pp. 680–687.
SACSAC-2012-ZankerJS #web
Harnessing geo-tagged resources for Web personalization (MZ, MJ, MS), pp. 332–339.
DACDAC-2012-MicheliBBTC
Integrated biosensors for personalized medicine (GDM, CB, CBR, IT, SC), pp. 6–11.
HTHT-2011-SeroussiBZ #modelling #predict #rating #using
Personalised rating prediction for new users using latent factor models (YS, FB, IZ), pp. 47–56.
HTHT-2011-SteichenOW #semantics #social
Personalisation in the wild: providing personalisation across semantic, social and open-web resources (BS, AO, VW), pp. 73–82.
JCDLJCDL-2011-TonniesKB #library #query
Taking chemistry to the task: personalized queries for chemical digital libraries (ST, BK, WTB), pp. 325–334.
SIGMODSIGMOD-2011-BahmaniCX #performance #pipes and filters #rank
Fast personalized PageRank on MapReduce (BB, KC, DX), pp. 973–984.
VLDBVLDB-2011-MachanavajjhalaKS #question #recommendation #social
Personalized Social Recommendations — Accurate or Private? (AM, AK, ADS), pp. 440–450.
AIIDEAIIDE-2011-YuT #algorithm #generative #ranking
Personalized Procedural Content Generation to Minimize Frustration and Boredom Based on Ranking Algorithm (HY, TT).
FDGFDG-2011-Vanhatupa #experience #game studies #guidelines
Guidelines for personalizing the player experience in computer role-playing games (JMV), pp. 46–52.
CHICHI-2011-OlwalLZ #mobile #named
OldGen: mobile phone personalization for older adults (AO, DL, EZ), pp. 3393–3396.
HCIDUXU-v1-2011-BergerKEM #mobile
Moody Mobile TV: Exploring TV Clips with Personalized Playlists (AB, RK, ME, AM), pp. 541–548.
HCIDUXU-v2-2011-TsengH #design
Designing the Personalized Nostalgic Emotion Value of a Product (YST, MCH), pp. 664–672.
HCIHIMI-v1-2011-BreyerNSBK #recommendation
A Comprehensive Reference Model for Personalized Recommender Systems (MB, KN, CS, DB, AK), pp. 528–537.
HCIHIMI-v1-2011-Ito #communication #gesture
Hand Gesture-Based Manipulation of a Personalized Avatar Robot in Remote Communication (TI), pp. 425–434.
HCIHIMI-v1-2011-MarincSBLHK #interactive
Interactive Personalization of Ambient Assisted Living Environments (AM, CS, AB, CL, CH, AK), pp. 567–576.
HCIOCSC-2011-ReisBB #network #semantics #social
Beyond the Social Search: Personalizing the Semantic Search in Social Networks (JCdR, RB, MCCB), pp. 345–354.
CIKMCIKM-2011-AnastasiuGB #clustering #collaboration #framework
A framework for personalized and collaborative clustering of search results (DCA, BJG, DB), pp. 573–582.
CIKMCIKM-2011-Collins-ThompsonBWCS #web
Personalizing web search results by reading level (KCT, PNB, RWW, SdlC, DS), pp. 403–412.
CIKMCIKM-2011-DongBHRC #optimisation #recommendation
User action interpretation for personalized content optimization in recommender systems (AD, JB, XH, SR, YC), pp. 2129–2132.
CIKMCIKM-2011-JiangLN #concept
Context-aware search personalization with concept preference (DJ, KWTL, WN), pp. 563–572.
CIKMCIKM-2011-MoghaddamJE #online #overview #predict #quality #recommendation
Review recommendation: personalized prediction of the quality of online reviews (SM, MJ, ME), pp. 2249–2252.
CIKMCIKM-2011-PeraN #recommendation
A personalized recommendation system on scholarly publications (MSP, YKN), pp. 2133–2136.
CIKMCIKM-2011-YooYC #classification #email #modelling
Modeling personalized email prioritization: classification-based and regression-based approaches (SY, YY, JGC), pp. 729–738.
ICMLICML-2011-VattaniCG #rank
Preserving Personalized Pagerank in Subgraphs (AV, DC, MG), pp. 793–800.
KDDKDD-2011-BilenkoR #predict
Predictive client-side profiles for personalized advertising (MB, MR), pp. 413–421.
KDDKDD-2011-LowAS #multi
Multiple domain user personalization (YL, DA, AJS), pp. 123–131.
KDDKDD-2011-NeuvirthOHLKER #case study #towards
Toward personalized care management of patients at risk: the diabetes case study (HN, MOF, JH, JL, MSK, SE, MRZ), pp. 395–403.
RecSysRecSys-2011-GuyRR #process
Personalized activity streams: sifting through the “river of news” (IG, IR, AR), pp. 181–188.
RecSysRecSys-2011-KimE #rank #recommendation
Personalized PageRank vectors for tag recommendations: inside FolkRank (HNK, AES), pp. 45–52.
RecSysRecSys-2011-KorenS #named #predict #rating
OrdRec: an ordinal model for predicting personalized item rating distributions (YK, JS), pp. 117–124.
RecSysRecSys-2011-LiZL #integration #named #recommendation
LOGO: a long-short user interest integration in personalized news recommendation (LL, LZ, TL), pp. 317–320.
SIGIRSIGIR-2011-AnastasiuGB #clustering #collaboration #named
ClusteringWiki: personalized and collaborative clustering of search results (DCA, BJG, DB), pp. 1263–1264.
SIGIRSIGIR-2011-BennettRWY #metadata #using #web
Inferring and using location metadata to personalize web search (PNB, FR, RWW, EY), pp. 135–144.
SIGIRSIGIR-2011-BouadjenekHBD #query #social #using
Personalized social query expansion using social bookmarking systems (MRB, HH, MB, JD), pp. 1113–1114.
SIGIRSIGIR-2011-ChenBSCG #named #performance #privacy #web
UPS: efficient privacy protection in personalized web search (GC, HB, LS, KC, YG), pp. 615–624.
SIGIRSIGIR-2011-Ghorab #adaptation #information retrieval #multi #query
Improving query and result list adaptation in personalized multilingual information retrieval (MRG), pp. 1323–1324.
SIGIRSIGIR-2011-LiWLKP #named #recommendation #scalability
SCENE: a scalable two-stage personalized news recommendation system (LL, DW, TL, DK, BP), pp. 125–134.
SIGIRSIGIR-2011-RamanathanSG #online #video
Personalized video: leanback online video consumption (KR, YS, VG), pp. 1277–1278.
SIGIRSIGIR-2011-Tyler #behaviour #multi #persistent
Persistence in the ephemeral: utilizing repeat behaviors for multi-session personalized search (SKT), pp. 1311–1312.
SIGIRSIGIR-2011-ValletC #on the #web
On diversifying and personalizing web search (DV, PC), pp. 1157–1158.
SACSAC-2011-VerasBBSC #education #framework #platform #web
A solution for personalized t-learning applications integrated with a web educational platform (DV, IIB, HB, MS, EdBC), pp. 1187–1193.
DocEngDocEng-2010-GuimaraesCB #web
Creating and sharing personalized time-based annotations of videos on the web (RLG, PC, DCAB), pp. 27–36.
TPDLECDL-2010-KyriakidiSTVI #library #prototype
A Prototype Personalization System for the European Library Portal (MK, LS, MLT, MV, YEI), pp. 542–545.
HTHT-2010-GuoJ #collaboration #recommendation #topic
Topic-based personalized recommendation for collaborative tagging system (YG, JBDJ), pp. 61–66.
HTHT-2010-LiangXLNT #recommendation
Connecting users and items with weighted tags for personalized item recommendations (HL, YX, YL, RN, XT), pp. 51–60.
HTHT-2010-PrataGC #learning
Crossmedia personalized learning contexts (AP, NG, TC), pp. 305–306.
VLDBVLDB-2011-BahmaniCG10 #incremental #performance #rank
Fast Incremental and Personalized PageRank (BB, AC, AG), pp. 173–184.
VLDBVLDB-2011-YuanCY10 #network #privacy #social
Personalized Privacy Protection in Social Networks (MY, LC, PSY), pp. 141–150.
EDMEDM-2010-VasilyevaPTKVB #framework #information management #towards
Towards EDM Framework for Personalization of Information Services in RPM Systems (EV, MP, AT, EK, SV, PDB), pp. 331–332.
AIIDEAIIDE-2010-ShakerYT #automation #framework #game studies #generative #platform #towards
Towards Automatic Personalized Content Generation for Platform Games (NS, GNY, JT).
CIKMCIKM-2010-CaiL #collaboration
Personalized search by tag-based user profile and resource profile in collaborative tagging systems (YC, QL), pp. 969–978.
CIKMCIKM-2010-CarmanCHB #modelling #query #topic #towards #using
Towards query log based personalization using topic models (MJC, FC, MH, MB), pp. 1849–1852.
CIKMCIKM-2010-CiglanN #detection #named #statistics #wiki
WikiPop: personalized event detection system based on Wikipedia page view statistics (MC, KN), pp. 1931–1932.
CIKMCIKM-2010-HaghaniMA #web
The gist of everything new: personalized top-k processing over web 2.0 streams (PH, SM, KA), pp. 489–498.
CIKMCIKM-2010-HarpaleYGHY #dataset #multi #named #performance
CiteData: a new multi-faceted dataset for evaluating personalized search performance (AH, YY, SG, DH, ZY), pp. 549–558.
CIKMCIKM-2010-LiangXLN #folksonomy #recommendation #taxonomy
Personalized recommender system based on item taxonomy and folksonomy (HL, YX, YL, RN), pp. 1641–1644.
CIKMCIKM-2010-LiuCXD #collaboration #ranking
Exploiting user interests for collaborative filtering: interests expansion via personalized ranking (QL, EC, HX, CHQD), pp. 1697–1700.
CIKMCIKM-2010-SayyadiEHR #challenge #ranking #social #social media
Challenges in personalized authority flow based ranking of social media (HS, JE, VH, LR), pp. 1409–1412.
CIKMCIKM-2010-TylerWZ #information retrieval
Utilizing re-finding for personalized information retrieval (SKT, JW, YZ), pp. 1469–1472.
CIKMCIKM-2010-WangJ #adaptation #online #process #social
Exploring online social activities for adaptive search personalization (QW, HJ), pp. 999–1008.
CIKMCIKM-2010-ZhangZ #modelling #recommendation
Discriminative factored prior models for personalized content-based recommendation (LZ, YZ), pp. 1569–1572.
ECIRECIR-2010-HarveyBRC #modelling #topic
Tripartite Hidden Topic Models for Personalised Tag Suggestion (MH, MB, IR, MJC), pp. 432–443.
ECIRECIR-2010-ValletCJ #documentation #web
Personalizing Web Search with Folksonomy-Based User and Document Profiles (DV, IC, JMJ), pp. 420–431.
KDDKDD-2010-YinXHD #predict #probability
A probabilistic model for personalized tag prediction (DY, ZX, LH, BDD), pp. 959–968.
KEODKEOD-2010-JohnF #clustering #semantics #web
The Effect of Semantic Clustering on Web Search Personalization (JDG, FO), pp. 60–69.
RecSysRecSys-2010-ImK #recommendation
Personalizing the settings for Cf-based recommender systems (II, BHK), pp. 245–248.
RecSysRecSys-2010-JancsaryNT #semantics #towards
Towards context-aware personalization and a broad perspective on the semantics of news articles (JJ, FN, HT), pp. 289–292.
SIGIRSIGIR-2010-ArapakisAJ #comparison #modelling #predict #topic
A comparison of general vs personalised affective models for the prediction of topical relevance (IA, KA, JMJ), pp. 371–378.
SIGIRSIGIR-2010-ChenYLZQ #classification #predict #query #question
Predicting query potential for personalization, classification or regression? (CC, MY, SL, TZ, HQ), pp. 725–726.
SIGIRSIGIR-2010-LiuB #information retrieval #multi
Personalizing information retrieval for multi-session tasks: the roles of task stage and task type (JL, NJB), pp. 26–33.
SIGIRSIGIR-2010-LuPWD #web
Personalize web search results with user’s location (YL, FP, XW, BD), pp. 763–764.
SACSAC-2010-DuraoD #hybrid #recommendation
Extending a hybrid tag-based recommender system with personalization (FAD, PD), pp. 1723–1727.
SACSAC-2010-KimY #multi #recommendation
New theoretical findings in multiple personalized recommendations (YHK, YY), pp. 94–98.
SACSAC-2010-LeeKL #network #taxonomy
Applying taxonomic knowledge to Bayesian belief network for personalized search (JwL, HjK, SgL), pp. 1796–1801.
SACSAC-2010-LopesVCTL #assessment #semantics #web
The semantics of personalised web accessibility assessment (RL, KV, LC, DT, SDL), pp. 1440–1441.
SACSAC-2010-SahHR #web
Dynamic linking and personalization on web (MS, WH, DDR), pp. 1404–1410.
SACSAC-2010-SchoutenRBFLH #approach #semantics
A semantic web-based approach for personalizing news (KS, PR, JB, FF, LL, FH), pp. 854–861.
TPDLECDL-2009-PalmerWWKRH #library #network
Digital Libraries, Personalisation, and Network Effects — Unpicking the Paradoxes (JP, CW, PW, DK, DR, BHD), p. 377.
TPDLECDL-2009-TakhirovSA #learning
Organizing Learning Objects for Personalized eLearning Services (NT, IS, TA), pp. 384–387.
HTHT-2009-BarricelliPS #experience #web
Personalized web browsing experience (BRB, MP, PLS), pp. 345–346.
HTHT-2009-StewartDNMNS #network #social
Cross-tagging for personalized open social networking (AS, EDA, WN, LBM, AN, LST), pp. 271–278.
ITiCSEITiCSE-2009-AuvinenKA #assessment #authoring #feedback #named #online
Rubyric: an online assessment tool for effortless authoring of personalized feedback (TA, VK, TA), p. 377.
ITiCSEITiCSE-2009-HsiaoSB #java #problem
Extending parameterized problem-tracing questions for Java with personalized guidance (IHH, SAS, PB), p. 392.
DiGRADiGRA-2009-Hjorth #case study #social #social media
Digital Art in the Age of Social Media: A Case Study of the politics of personalization via cute culture (LH).
CHICHI-2009-DucheneautWYW #case study
Body and mind: a study of avatar personalization in three virtual worlds (ND, MHW, NY, GW), pp. 1151–1160.
CHICHI-2009-SungGC #design #quote
“Pimp My Roomba”: designing for personalization (JYS, REG, HIC), pp. 193–196.
HCIDHM-2009-ThomasDAS #evaluation
Non-intrusive Personalized Mental Workload Evaluation for Exercise Intensity Measure (NLT, YD, TA, JHS), pp. 315–322.
HCIHCD-2009-MahouiJZA #behaviour #design #interface #web
Leveraging User Search Behavior to Design Personalized Browsing Interfaces for Healthcare Web Sites (MM, JFJ, DZ, KA), pp. 511–520.
HCIHCI-AUII-2009-LekkasTGMS #design #implementation #parametricity
Implementing Affect Parameters in Personalized Web-Based Design (ZL, NT, PG, CM, GS), pp. 320–329.
HCIHCI-VAD-2009-SaC #development #learning #mobile #tool support
Supporting End-User Development of Personalized Mobile Learning Tools (MdS, LC), pp. 217–225.
HCIHIMI-II-2009-MarusterFH #design #learning
Personalization for Specific Users: Designing Decision Support Systems to Support Stimulating Learning Environments (LM, NRF, RJFvH), pp. 660–668.
HCIHIMI-II-2009-MinC #approach #generative #privacy
An Interactive-Content Technique Based Approach to Generating Personalized Advertisement for Privacy Protection (WHM, YGC), pp. 185–191.
HCIIDGD-2009-RangaswamyS #mobile
Personalizing the Shared Mobile Phone (NR, SS), pp. 395–403.
HCIOCSC-2009-HeikeFT #communication
Personalized and Deformed Avatars for Realizing Avatar-Mediated Real Person-to-Person Communication (MH, KF, TT), pp. 207–215.
ICEISICEIS-SAIC-2009-DangHHT #process #semantics #workflow
Personalized Medical Workflow through Semantic Business Process Management (JD, AH, KH, CT), pp. 122–127.
CIKMCIKM-2009-CaoSXHYC #classification #named #query
PQC: personalized query classification (BC, JTS, EWX, DHH, QY, ZC), pp. 1217–1226.
CIKMCIKM-2009-CarmelZGOHRUYC #network #social
Personalized social search based on the user’s social network (DC, NZ, IG, SOK, NH, IR, EU, SY, SC), pp. 1227–1236.
CIKMCIKM-2009-ElliottJ #retrieval
A proactive personalised retrieval system (DE, JMJ), pp. 1935–1938.
CIKMCIKM-2009-LiuDRL #named #trust
StereoTrust: a group based personalized trust model (XL, AD, KR, EPL), pp. 7–16.
CIKMCIKM-2009-XuWYF #online #web #web service
Online anonymity for personalized web services (YX, KW, GY, AWCF), pp. 1497–1500.
KDDKDD-2009-YooYLM #email #mining #network #social
Mining social networks for personalized email prioritization (SY, YY, FL, ICM), pp. 967–976.
KMISKMIS-2009-AmaralCG #named
Personalcasting — Personalization on Datacasting (RDA, FC, CG), pp. 292–295.
RecSysRecSys-2009-GuyZCRUYO #recommendation #social
Personalized recommendation of social software items based on social relations (IG, NZ, DC, IR, EU, SY, SOK), pp. 53–60.
RecSysRecSys-2009-HartJS #named
iTag: a personalized blog tagger (MH, RJ, AS), pp. 297–300.
RecSysRecSys-2009-KawamaeSY #recommendation
Personalized recommendation based on the personal innovator degree (NK, HS, TY), pp. 329–332.
RecSysRecSys-2009-Schubert #knowledge-based #query #recommendation
Personalized query relaxations and repairs in knowledge-based recommendation (MS), pp. 409–412.
RecSysRecSys-2009-TsatsouMKD #analysis #framework #recommendation #semantics
A semantic framework for personalized ad recommendation based on advanced textual analysis (DT, FM, IK, PCD), pp. 217–220.
RecSysRecSys-2009-WalterBS #network #social #trust
Personalised and dynamic trust in social networks (FEW, SB, FS), pp. 197–204.
RecSysRecSys-2009-WedelRC #recommendation
Up close and personalized: a marketing view of recommendation systems (MW, RTR, TSC), pp. 3–4.
SIGIRSIGIR-2009-GuanBMCW #graph #multi #ranking #recommendation #using
Personalized tag recommendation using graph-based ranking on multi-type interrelated objects (ZG, JB, QM, CC, CW), pp. 540–547.
SIGIRSIGIR-2009-Liu09a #information retrieval #topic #using
Personalizing information retrieval using task features, topic knowledge, and task product (JL), p. 855.
SIGIRSIGIR-2009-YangLC #music #recognition
Personalized music emotion recognition (YHY, YCL, HHC), pp. 748–749.
SPLCSPLC-2009-HendricksonWHTK #modelling #privacy
Modeling PLA variation of privacy-enhancing personalized systems (SAH, YW, AvdH, RNT, AK), pp. 71–80.
SACSAC-2009-DaoudTBC #ontology #using
A session based personalized search using an ontological user profile (MD, LTL, MB, BC), pp. 1732–1736.
SACSAC-2009-Huynh #assessment #framework #trust
A personalized framework for trust assessment (TDH), pp. 1302–1307.
SACSAC-2009-SchmidtSS #approach #social #using #web
Socially filtered web search: an approach using social bookmarking tags to personalize web search (KUS, TS, LS), pp. 670–674.
SACSAC-2009-YounM #email #ontology #using
Spam decisions on gray e-mail using personalized ontologies (SY, DM), pp. 1262–1266.
TPDLECDL-2008-GuCAKSMB #learning #library
Personalizing the Selection of Digital Library Resources to Support Intentional Learning (QG, SdlC, FA, HJK, TS, JHM, KRB), pp. 244–255.
HTHT-2008-AnkolekarV #named #web
Kalpana — enabling client-side web personalization (AA, DV), pp. 21–26.
CSCWCSCW-2008-MorrisTB #collaboration #web
Enhancing collaborative web search with personalization: groupization, smart splitting, and group hit-highlighting (MRM, JT, SB), pp. 481–484.
CIKMCIKM-2008-ChiZGZ #probability #recommendation
Probabilistic polyadic factorization and its application to personalized recommendation (YC, SZ, YG, YZ), pp. 941–950.
CIKMCIKM-2008-DaoudTB #graph #ontology #using
Using a graph-based ontological user profile for personalizing search (MD, LTL, MB), pp. 1495–1496.
CIKMCIKM-2008-LuxenburgerEW #web
Matching task profiles and user needs in personalized web search (JL, SE, GW), pp. 689–698.
CIKMCIKM-2008-VatturiGDMB #recommendation
Tag-based filtering for personalized bookmark recommendations (PKV, WG, CD, MJM, BB), pp. 1395–1396.
ECIRECIR-2008-VanB #hybrid #library
Hybrid Method for Personalized Search in Digital Libraries (TTV, MB), pp. 647–651.
ICPRICPR-2008-AzoughDMH #behaviour #modelling #monitoring
Intuitive event modeling for personalized behavior monitoring (AA, AD, FDM, MSH), pp. 1–4.
KDDKDD-2008-ChenZC #collaboration #community #recommendation
Combinational collaborative filtering for personalized community recommendation (WC, DZ, EYC), pp. 115–123.
RecSysRecSys-2008-DiasLLEL #case study #recommendation
The value of personalised recommender systems to e-business: a case study (MBD, DL, ML, WED, PJGL), pp. 291–294.
RecSysRecSys-2008-GargW #interactive #recommendation
Personalized, interactive tag recommendation for flickr (NG, IW), pp. 67–74.
RecSysRecSys-2008-MaidelSST #evaluation
Evaluation of an ontology-content based filtering method for a personalized newspaper (VM, PS, BS, MTM), pp. 91–98.
RecSysRecSys-2008-ShepitsenGMB #clustering #recommendation #social #using
Personalized recommendation in social tagging systems using hierarchical clustering (AS, JG, BM, RDB), pp. 259–266.
RecSysRecSys-2008-XuJL #documentation #image #online #recommendation #video
Personalized online document, image and video recommendation via commodity eye-tracking (SX, HJ, FCML), pp. 83–90.
SEKESEKE-2008-LucasSM #classification #recommendation #towards #using
Comparing the Use of Traditional and Associative Classifiers towards Personalized Recommendations (JPL, SS, MNMG), pp. 607–612.
SEKESEKE-2008-SouiKAU #evaluation #information management
Evaluation of Personalized Information Systems: Application in Intelligent Transport System (MS, CK, MA, GU), pp. 877–880.
SIGIRSIGIR-2008-CarmanC #distributed #information retrieval #towards
Towards personalized distributed information retrieval (MJC, FC), pp. 719–720.
SIGIRSIGIR-2008-HarpaleY #collaboration #learning
Personalized active learning for collaborative filtering (AH, YY), pp. 91–98.
SIGIRSIGIR-2008-LuxenburgerEW
Task-aware search personalization (JL, SE, GW), pp. 721–722.
SIGIRSIGIR-2008-TeevanDL #modelling #query
To personalize or not to personalize: modeling queries with variation in user intent (JT, STD, DJL), pp. 163–170.
SIGIRSIGIR-2008-XuBFSY #folksonomy
Exploring folksonomy for personalized search (SX, SB, BF, ZS, YY), pp. 155–162.
SIGIRSIGIR-2008-ZhuCC
The impact of history length on personalized search (YZ, JC, JGC), pp. 715–716.
SACSAC-2008-MakrisPPS #algorithm #web
An integrated web system to facilitate personalized web searching algorithms (CM, YP, YP, ES), pp. 2397–2402.
TPDLECDL-2007-TvarozekB #library
Personalized Faceted Browsing for Digital Libraries (MT, MB), pp. 485–488.
HTHT-2007-SahHGR #named #semantics
Semport: a personalized semantic portal (MS, WH, NG, DDR), pp. 31–32.
JCDLJCDL-2007-AhmadCBSM #automation #concept #tool support #towards
Towards automatic conceptual personalization tools (FA, SdlC, KRB, TS, JHM), pp. 452–461.
SIGMODSIGMOD-2007-GuptaYDGS #data-driven #web
User-centric personalized extensibility for data-driven web applications (NG, FY, AJD, JG, JS), pp. 1125–1127.
SIGMODSIGMOD-2007-ReddyRR #named
eSaguTM: a data warehouse enabled personalized agricultural advisory system (PKR, GVR, GSR), pp. 910–914.
CoGCIG-2007-TogeliusNL #automation #game studies #towards
Towards automatic personalised content creation for racing games (JT, RDN, SML), pp. 252–259.
CHICHI-2007-LittleLCLHK #named #process #web
Koala: capture, share, automate, personalize business processes on the web (GL, TAL, AC, JL, EMH, EK), pp. 943–946.
HCIHCI-AS-2007-KimLYC #design #implementation #monitoring #process
Design and Implementation of a Personalized Business Activity Monitoring System (HK, YHL, HY, NWC), pp. 581–590.
HCIHCI-IPT-2007-SuhPYCW #interactive #mobile #ubiquitous
Context-Aware Mobile AR System for Personalization, Selective Sharing, and Interaction of Contents in Ubiquitous Computing Environments (YS, YP, HY, YC, WW), pp. 966–974.
HCIHCI-MIE-2007-CulenR #design #privacy #security
Designing Personalized Media Center with Focus on Ethical Issues of Privacy and Security (ALC, YR), pp. 829–835.
HCIHCI-MIE-2007-KimKMJJ #usability #user interface
A Usability Study on Personalized EPG (pEPG) UI of Digital TV (MHK, SMK, JSM, YGJ, MRJ), pp. 892–901.
HCIHCI-MIE-2007-KoLKJL #case study #evaluation #recommendation #user satisfaction
A Study on User Satisfaction Evaluation About the Recommendation Techniques of a Personalized EPG System on Digital TV (SMK, YJL, MHK, YGJ, SWL), pp. 909–917.
HCIHIMI-MTT-2007-ZhangCF #image #multi #named #retrieval #video
MyView: Personalized Event Retrieval and Video Compositing from Multi-camera Video Images (CCZ, SBC, SF), pp. 549–558.
CAiSECAiSE-2007-CostacheNP #distributed #ranking
Personalizing PageRank-Based Ranking over Distributed Collections (SC, WN, RP), pp. 111–126.
ICEISICEIS-HCI-2007-Pahnila #towards
Assessing the User Attitude Toward Personalized Services (SP), pp. 198–206.
CIKMCIKM-2007-SiegMB #ontology #web
Web search personalization with ontological user profiles (AS, BM, RDB), pp. 525–534.
ECIRECIR-2007-CastagnosB #community #distributed #recommendation
Personalized Communities in a Distributed Recommender System (SC, AB), pp. 343–355.
SIGIRSIGIR-2007-ChiritaFN #query #web
Personalized query expansion for the web (PAC, CSF, WN), pp. 7–14.
SIGIRSIGIR-2007-TeevanDH
Characterizing the value of personalizing search (JT, STD, EH), pp. 757–758.
SACSAC-2007-KassabL #analysis #effectiveness #towards
Towards a synthetic analysis of user’s information need for more effective personalized filtering services (RK, JCL), pp. 852–859.
SACSAC-2007-SaCA
Defining personalized therapies for handheld devices (MdS, LC, PA), pp. 163–164.
SACSAC-2007-YouH #approach #ranking
Personalized ranking: a contextual ranking approach (GwY, SwH), pp. 506–510.
TPDLECDL-2006-ParkKKLK #using
Personalized Digital E-library Service Using Users’ Profile Information (WP, WK, SK, HL, YKK), pp. 528–531.
SIGMODSIGMOD-2006-XiaoT #privacy
Personalized privacy preservation (XX, YT), pp. 229–240.
ICEISICEIS-AIDSS-2006-PetruzzellisLPSBP #profiling
Personalized Incentive Plans through Employee Profiling (SP, OL, IP, GS, VB, CP), pp. 107–114.
ICEISICEIS-HCI-2006-Andrenucci #empirical #interface
Medical Information Portals: An Empirical Study of Personalized Search Mechanisms and Search Interfaces (AA), pp. 95–102.
ICEISICEIS-HCI-2006-DoyleWBW #interface #mobile #multimodal
A Multimodal Interface for Personalising Spatial Data in Mobile GIS (JD, JW, MB, DCW), pp. 71–78.
ICEISICEIS-J-2006-CarricoSA06a #tool support
Handheld Tools for Personalized and Proactive Psychotherapy (LC, MdS, PA), pp. 452–464.
CIKMCIKM-2006-BoydellS #community #using #web
Capturing community search expertise for personalized web search using snippet-indexes (OB, BS), pp. 277–286.
CIKMCIKM-2006-ChiritaFN #web
Summarizing local context to personalize global web search (PAC, CSF, WN), pp. 287–296.
CIKMCIKM-2006-WhiteK #case study #feedback #performance
A study on the effects of personalization and task information on implicit feedback performance (RWW, DK), pp. 297–306.
ICMLICML-2006-KienzleC #recognition
Personalized handwriting recognition via biased regularization (WK, KC), pp. 457–464.
KDDKDD-2006-WedigM #analysis #query #scalability
A large-scale analysis of query logs for assessing personalization opportunities (SW, OM), pp. 742–747.
SIGIRSIGIR-2006-BoydellS #pseudo #web
Community-based snippet-indexes for pseudo-anonymous personalization in web search (OB, BS), pp. 617–618.
SIGIRSIGIR-2006-RadlinskiD #using #web
Improving personalized web search using result diversification (FR, STD), pp. 691–692.
SIGIRSIGIR-2006-SongTLS #data flow #recommendation
Personalized recommendation driven by information flow (XS, BLT, CYL, MTS), pp. 509–516.
SPLCSPLC-2006-WangKHW #privacy #runtime #web
PLA-based Runtime Dynamism in Support of Privacy-Enhanced Web Personalization (YW, AK, AvdH, JW), pp. 151–162.
SACSAC-2006-HessSS #documentation #recommendation
Trust-enhanced visibility for personalized document recommendations (CH, KS, CS), pp. 1865–1869.
SACSAC-2006-NikovskiK #induction #recommendation
Induction of compact decision trees for personalized recommendation (DN, VK), pp. 575–581.
SACSAC-2006-TsengCL #e-commerce #mining #navigation #predict
Mining and prediction of temporal navigation patterns for personalized services in e-commerce (VST, JCC, KWL), pp. 867–871.
SACSAC-2006-ZhangKCADZW #visualisation
Personalization and visualization on handheld devices (DZ, GK, ZC, BA, LD, ZZ, YW), pp. 1008–1012.
TPDLECDL-2005-GohSZWLTHC #learning #using
Managing Geography Learning Objects Using Personalized Project Spaces in G-Portal (DHLG, AS, WZ, DW, EPL, YLT, JGH, CHC), pp. 336–343.
JCDLJCDL-2005-BrusilovskyFA #education #information management #library
Comprehensive personalized information access in an educational digital library (PB, RF, JwA), pp. 9–18.
SIGMODSIGMOD-2005-KoutrikaI #query
Constrained Optimalities in Query Personalization (GK, YEI), pp. 73–84.
VLDBVLDB-2005-Amer-YahiaFJL #xml
Personalizing XML Text Search in PimenT (SAY, IF, PJ, LVSL), pp. 1310–1313.
VLDBVLDB-2005-IoannidisK #information retrieval #modelling #perspective
Personalized Systems: Models and Methods from an IR and DB Perspective (YEI, GK), p. 1365.
ITiCSEITiCSE-2005-FreitasCA #visualisation
A personalized visualization tool for geo-referenced information (SF, MBC, APA), p. 398.
CHICHI-2005-GnanayuthamBC #interface #paradigm
Discrete acceleration and personalised tiling as brain?body interface paradigms for neurorehabilitation (PG, CB, GC), pp. 261–270.
ICEISICEIS-v4-2005-LiuFP
Personalisation and Customisation — A Strategic Leverage to Sustain eTrading Market Share (JL, SJF, SP), pp. 40–47.
CIKMCIKM-2005-ShenTZ #modelling
Implicit user modeling for personalized search (XS, BT, CZ), pp. 824–831.
SIGIRSIGIR-2005-ChiritaNPK #metadata #using
Using ODP metadata to personalize search (PAC, WN, RP, CK), pp. 178–185.
SIGIRSIGIR-2005-ShenTZ05a #named
UCAIR: a personalized search toolbar (XS, BT, CZ), p. 681.
SIGIRSIGIR-2005-TeevanDH #analysis #automation #process
Personalizing search via automated analysis of interests and activities (JT, STD, EH), pp. 449–456.
SACSAC-2005-AlbayrakWVLM #information management
Agent technology for personalized information filtering: the PIA-system (SA, SW, NV, AL, DM), pp. 54–59.
ICLPICLP-2005-KleemannS #mobile
Decision Support for Personalization on Mobile Devices (TK, AS), pp. 404–406.
TPDLECDL-2004-WangBKH #library #named
P-News: Deeply Personalized News Dissemination for MPEG-7 Based Digital Libraries (QW, WTB, WK, AH), pp. 256–268.
VLDBVLDB-2004-XuJ #constraints #performance
Efficient Constraint Processing for Highly Personalized Location Based Services (ZX, HAJ), pp. 1285–1288.
CSCWCSCW-2004-HorvitzKA #cost analysis #modelling #named
BusyBody: creating and fielding personalized models of the cost of interruption (EH, PK, JA), pp. 507–510.
CAiSECAiSE-2004-ShengBMDN #adaptation #composition #web #web service
Enabling Personalized Composition and Adaptive Provisioning of Web Services (QZS, BB, ZM, MD, AHHN), pp. 322–337.
ICEISICEIS-v5-2004-EspositoLLS #education #library
Personalizing Digital Libraries for Education (FE, OL, PL, GS), pp. 279–284.
ICEISICEIS-v5-2004-Pahnila #information management #predict
Predicting the User Acceptance of Personalized Information Systems: Case Medical Portal (SP), pp. 195–202.
ICEISICEIS-v5-2004-RibeiroRC #communication #towards
Towards a Model for Personalized Communication Services Based on User Perception (CMFAR, NSR, PRFC), pp. 211–215.
ICEISICEIS-v5-2004-RousseauBMFM #multi #profiling #repository #resource management #using
Personalised Resource Discovery Searching over Multiple Repository Types: Using User and Information Provider Profiling (BR, PB, PM, PF, VM), pp. 35–43.
ICPRICPR-v4-2004-LiuSCH #clustering #using #verification
Personalized Face Verification System Using Owner-Specific Cluster-Dependent LDA-Subspace (HCL, CHS, YHC, YPH), pp. 344–347.
SACSAC-2004-BourasKM
A web-page fragmentation technique for personalized browsing (CB, VK, IM), pp. 1146–1147.
DocEngDocEng-2003-PurvisHOF #approach #documentation #optimisation
Creating personalized documents: an optimization approach (LP, SH, BO, ECF), pp. 68–77.
JCDLJCDL-2003-McKeownEH #library #representation #summary
Leveraging a Common Representation for Personalized Search and Summarization in a Medical Digital Library (KM, NE, VH), p. 159–?.
ITiCSEITiCSE-2003-YongH #automation #student
Automatically creating personalised exercises based on student profiles (CFY, CH), p. 236.
ICEISICEIS-v4-2003-AgostoPVB #named
Someone: A Cooperative System for Personalized Information Exchange (LA, MP, LV, PB), pp. 71–78.
ICEISICEIS-v4-2003-BalavijendranCM #experience #using
Enhancing News Reading Experience Through Personalization of News Content and Services Using Intelligent Agents (LB, SNC, AKM), pp. 404–407.
ICEISICEIS-v4-2003-EspinosaRGG #modelling
Users-Tailored E-Bussines Through a Three-Layer Personalization Model Based on Agents (ELE, ILR, GCG, MÁGN), pp. 444–447.
ICEISICEIS-v4-2003-LecknerKSL #design
Personalization Meets Mass Customization — Support for the Configuration and Design of Individualized Products (TL, MK, RS, MSL), pp. 259–264.
ICEISICEIS-v4-2003-SonneckM #graph #using #web
One-To-One Personalization of Web Applications Using a Graph Based Model (GS, TAM), pp. 95–102.
ECIRECIR-2003-SemeraroDLTL #information management #process #profiling
A Personalized Information Search Process Based on Dialoguing Agents and User Profiling (GS, MD, PL, UT, ML), pp. 613–621.
KDDKDD-2003-EirinakiVV #named #process #semantics #taxonomy #using #web
SEWeP: using site semantics and a taxonomy to enhance the Web personalization process (ME, MV, IV), pp. 99–108.
SIGIRSIGIR-2003-MartinJ #information retrieval
A personalised information retrieval tool (IM, JMJ), pp. 423–424.
DATEDATE-2003-MoullecADAP #metric #multi
Multi-Granularity Metrics for the Era of Strongly Personalized SOCs (YLM, NBA, JPD, MA, JLP), pp. 10674–10681.
TPDLECDL-2002-SunLN #classification #keyword
Personalized Classification for Keyword-Based Category Profiles (AS, EPL, WKN), pp. 61–74.
VLDBVLDB-2002-AggarwalY #automation #web
An Automated System for Web Portal Personalization (CCA, PSY), pp. 1031–1040.
CIKMCIKM-2002-LiuYM #category theory #query #web
Personalized web search by mapping user queries to categories (FL, CTY, WM), pp. 558–565.
ICPRICPR-v2-2002-ChiuLY #learning
Learning User Preference in a Personalized CBIR Systeml (CYC, HCL, SNY), p. 532–?.
ICPRICPR-v2-2002-TeraguchiMESE #agile #generative #video
Rapid Generation of Event-Based Indexes for Personalized Video Digests (MT, KM, TE, SiS, ME), pp. 1041–1044.
ICSEICSE-2002-YeF #delivery #reuse
Supporting reuse by delivering task-relevant and personalized information (YY, GF), pp. 513–523.
SACSAC-2002-LauzacC #database #information management #mobile
Personalizing information gathering for mobile database clients (SWL, PKC), pp. 49–56.
DACDAC-2002-ParkMJ #framework #information management #mobile #smarttech
The wearable motherboard: a framework for personalized mobile information processing (PMIP) (SP, KM, SJ), pp. 170–174.
JCDLJCDL-2001-ChauZC #analysis #web
Personalized spiders for web search and analysis (MC, DDZ, HC), pp. 79–87.
JCDLJCDL-2001-ElhadadKLM #multi #named #summary
PERSIVAL: personalized summarization over multimedia health-care information (NE, MYK, SL, SM), p. 455.
JCDLJCDL-2001-McKeownCCFFGHJJKKPT #multi #summary
PERSIVAL, a system for personalized search and summarization over multimedia healthcare information (KM, SFC, JJC, SF, CF, LG, VH, SJ, DAJ, JK, AK, VLP, ST), pp. 331–340.
VISSOFTSVIS-2001-HopkinsF #3d #framework #visualisation
The rube Framework for Personalized 3-D Software Visualization (JFH, PAF), pp. 368–380.
ICEISICEIS-v1-2001-FerreiraS #architecture #named
MySDI: A Generic Architecture to Develop SDI Personalised Services (JF, ARdS), pp. 262–270.
ICEISICEIS-v2-2001-HarroudAK #mobile
Agent-Based Personalized Services for Mobile Users over a VPN (HH, MA, AK), pp. 1110–1117.
KDDKDD-2001-PadmanabhanZK #semistructured data #what
Personalization from incomplete data: what you don’t know can hurt (BP, Z(Z, SOK), pp. 154–163.
ADLADL-2000-KhanM #ontology #retrieval #using
Audio Structuring and Personalized Retrieval Using Ontologies (LK, DM), pp. 116–126.
TPDLECDL-2000-EstebanGJ #architecture #modelling
Evaluating a User-Model Based Personalisation Architecture for Digital News Services (ADE, PGGN, AGJ), pp. 259–268.
TPDLECDL-2000-JonesQT #delivery #multi
Personalised Delivery of News Articles from Multiple Sources (GJFJ, DJQ, KET), pp. 340–343.
VLDBVLDB-2000-AdiBEY #correlation
Push Technology Personalization through Event Correlation (AA, DB, OE, TYH), pp. 643–645.
VLDBVLDB-2000-DuttaDMRT #named #online #scalability #web
Demonstration: Enabling Scalable Online Personalization on the Web (KD, AD, DEV, KR, HMT), pp. 631–634.
PDPPDP-2000-GuinanOD #3d #named
ENTER: the personalisation and contextualisation of 3-dimensional worlds (TG, GMPO, ND), pp. 142–148.
DL-1999-BollackerLG #automation #web
A System for Automatic Personalized Tracking of Scientific Literature on the Web (KDB, SL, CLG), pp. 105–113.
DL-1999-TolleLSFRSC #information management #parsing #semantics
Medical Information Access for the New Millenium: UMLS-enhanced Semantic Parsing and Personalized Medical Agent (KMT, GL, RRS, YF, DR, PZS, HC), pp. 252–253.
CHICHI-1999-Graham #documentation
The Reader’s Helper: A Personalized Document Reading Environment (JG), pp. 481–488.
HCIHCI-CCAD-1999-Andre #multi #towards
Towards personalized multimedia presentation systems for all (EA), pp. 873–877.
KDDKDD-1999-AdomaviciusT #profiling #validation
User Profiling in Personalization Applications Through Rule Discovery and Validation (GA, AT), pp. 377–381.
SIGMODSIGMOD-1998-LiuPTBBZBHY #monitoring #named #tool support
CQ: A Personalized Update Monitoring Toolkit (LL, CP, WT, DB, JB, TZ, PB, WH, FY), pp. 547–549.
KDDKDD-1998-NakhaeizadehS #algorithm #data mining #evaluation #mining #towards
Towards the Personalization of Algorithms Evaluation in Data Mining (GN, AS), pp. 289–293.
ICDARICDAR-1997-SchmidtK #automation #verification
Establishment of Personalized Templates for Automatic Signature Verification (CS, KFK), pp. 263–267.
CHICHI-1997-BarrettMK #how #web
How to Personalize the Web (RB, PPM, DCK), pp. 75–82.
HCIHCI-SEC-1997-LeeOJ #web
Agent-Based Support for Personalized Information with Web Search Engines (ESL, RO, IGJ), pp. 783–786.
CSCWCSCW-1996-MarxS #named
CLUES: Dynamic Personalized Message Filtering (MM, CS), pp. 113–121.
SIGIRSIGIR-1996-LamMMP #detection #information management
Detection of Shifts in User Interests for Personalized Information Filtering (WL, SM, JM, MJP), pp. 317–325.
ICDARICDAR-v1-1995-BauerW #automation #parametricity #reduction #verification
Parameter reduction and personalized parameter selection for automatic signature verification (FB, BW), pp. 183–186.
ICDARICDAR-v2-1995-KimPK #online #set #verification
Applying personalized weights to a feature set for on-line signature verification (SHK, MSP, JK), pp. 882–885.
ICSMEICSM-1994-Tilley #reverse engineering #user interface
Domain-Retargetable Reverse Engineering II: Personalized User Interfaces (SRT), pp. 336–342.
VLDBVLDB-1988-NeuholdS
Dynamic Derivation of Personalized Views (EJN, MS), pp. 183–194.
HCIHCI-SES-1987-Nowakowski #human-computer #recognition
Personalized Recognition of Mental Workload in Human-Computer System (MN), pp. 75–82.
SIGIRSIGIR-1978-Tharp #database #design #network
Augmented Transition Networks as a Design Tool for Personalized Data Base Systems (ALT), pp. 2–13.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
Hosted as a part of SLEBOK on GitHub.