BibSLEIGH
BibSLEIGH corpus
BibSLEIGH tags
BibSLEIGH bundles
BibSLEIGH people
CC-BY
Open Knowledge
XHTML 1.0 W3C Rec
CSS 2.1 W3C CanRec
email twitter
Used together with:
user (46)
base (40)
point (29)
use (24)
social (23)

Stem interest$ (all stems)

210 papers:

VLDBVLDB-2015-Xirogiannopoulos #graph #named #relational
GraphGen: Exploring Interesting Graphs in Relational Data (KX, UK, AD), pp. 2032–2043.
ICFPICFP-2015-Sheeran #design #functional #hardware #programming #years after
Functional programming and hardware design: still interesting after all these years (MS), p. 165.
KDDKDD-2015-GrbovicRDBN #gender
Gender and Interest Targeting for Sponsored Post Advertising at Tumblr (MG, VR, ND, NB, AN), pp. 1819–1828.
KDDKDD-2015-MahdianSV #algorithm
Algorithmic Cartography: Placing Points of Interest and Ads on Maps (MM, OS, SV), pp. 755–764.
MLDMMLDM-2015-Prado #classification #named
MOGACAR: A Method for Filtering Interesting Classification Association Rules (DBP), pp. 172–183.
SIGIRSIGIR-2015-HsiehLY #network #social
I See You: Person-of-Interest Search in Social Networks (HPH, CTL, RY), pp. 839–842.
SIGIRSIGIR-2015-LiCLPK #named #ranking #recommendation
Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation (XL, GC, XL, TANP, SK), pp. 433–442.
SIGIRSIGIR-2015-YaoSQWSH #recommendation #social #using
Context-aware Point-of-Interest Recommendation Using Tensor Factorization with Social Regularization (LY, QZS, YQ, XW, AS, QH), pp. 1007–1010.
SIGIRSIGIR-2015-ZhangC #category theory #correlation #named #recommendation #social
GeoSoCa: Exploiting Geographical, Social and Categorical Correlations for Point-of-Interest Recommendations (JDZ, CYC), pp. 443–452.
CASECASE-2014-CaoMDZ #detection #performance #visual notation
A gabor based fast interest point detector for image-based robot visual servo control (ZC, FM, JSD, JZ), pp. 883–888.
HTHT-2014-FerraraIT #lens #online #topic
Online popularity and topical interests through the lens of instagram (EF, RI, AT), pp. 24–34.
VLDBVLDB-2014-CaoCJY
Retrieving Regions of Interest for User Exploration (XC, GC, CSJ, MLY), pp. 733–744.
CHICHI-2014-HsiehCMN #comprehension #what
You read what you value: understanding personal values and reading interests (GH, JC, JM, JN), pp. 983–986.
CHICHI-2014-WalberSS
Smart photo selection: interpret gaze as personal interest (TCW, AS, SS), pp. 2065–2074.
HCIHIMI-DE-2014-JungAK #interface #using #web
A Map-Based Web Search Interface Using Point of Interest Aggregation (KJ, SCA, HK), pp. 342–351.
HCIHIMI-DE-2014-UedaA14a #twitter
Suggestion of Operation Method of the Interest Shift Model of the Twitter User (YU, YA), pp. 664–677.
ICEISICEIS-v1-2014-MezghaniPZAS #detection #social
Analyzing Tagged Resources for Social Interests Detection (MM, AP, CAZ, IA, FS), pp. 340–345.
CIKMCIKM-2014-GuptaB #identification #query
Identifying Time Intervals of Interest to Queries (DG, KB), pp. 1835–1838.
CIKMCIKM-2014-WangJDY #adaptation #recommendation #social
User Interests Imbalance Exploration in Social Recommendation: A Fitness Adaptation (TW, XJ, XD, XY), pp. 281–290.
CIKMCIKM-2014-YuanCS #graph #recommendation
Graph-based Point-of-interest Recommendation with Geographical and Temporal Influences (QY, GC, AS), pp. 659–668.
ICPRICPR-2014-LiCGW #hybrid #interactive #recognition #using
A Hybrid Method for Human Interaction Recognition Using Spatio-temporal Interest Points (NL, XC, HG, ZW), pp. 2513–2518.
ICPRICPR-2014-MercanASWBE #image #locality
Localization of Diagnostically Relevant Regions of Interest in Whole Slide Images (EM, SA, LGS, DLW, TTB, JGE), pp. 1179–1184.
KDDKDD-2014-HuHA #e-commerce #modelling #scalability #social
Style in the long tail: discovering unique interests with latent variable models in large scale social E-commerce (DJH, RH, JA), pp. 1640–1649.
KDDKDD-2014-LianZXSCR #matrix #modelling #named #recommendation
GeoMF: joint geographical modeling and matrix factorization for point-of-interest recommendation (DL, CZ, XX, GS, EC, YR), pp. 831–840.
RecSysRecSys-2014-BhattacharyaZGGG #network #social #twitter
Inferring user interests in the Twitter social network (PB, MBZ, NG, SG, KPG), pp. 357–360.
SIGIRSIGIR-2014-Ma #on the #recommendation #social
On measuring social friend interest similarities in recommender systems (HM), pp. 465–474.
SIGIRSIGIR-2014-PengS00W #smarttech
The knowing camera 2: recognizing and annotating places-of-interest in smartphone photos (PP, LS, KC, GC, SW), pp. 707–716.
SACSAC-2014-PetroccoCPE #performance
Hiding user content interest while preserving P2P performance (RP, MC, JAP, DHJE), pp. 501–508.
HTHT-2013-MarieCGR #linked data #on the fly #open data
Composite interests’ exploration thanks to on-the-fly linked data spreading activation (NM, OC, FG, MR), pp. 31–40.
ICDARICDAR-2013-DoTT #approach #recognition #representation
New Approach for Symbol Recognition Combining Shape Context of Interest Points with Sparse Representation (THD, ST, ORT), pp. 265–269.
ICDARICDAR-2013-TencerRC #documentation #retrieval #sketching
Sketch-Based Retrieval of Document Illustrations and Regions of Interest (LT, MR, MC), pp. 728–732.
SIGMODSIGMOD-2013-ChengBK #named #twitter
Peckalytics: analyzing experts and interests on Twitter (AC, NB, NK), pp. 973–976.
VLDBVLDB-2013-BoghSJ #approach #named #retrieval
GroupFinder: A New Approach to Top-K Point-of-Interest Group Retrieval (KSB, AS, CSJ), pp. 1226–1229.
ITiCSEITiCSE-2013-BackBCMMM #education #student
Making computing interesting to school students: teachers’ perspectives (JB, JB, PC, CM, PWM, LRM), pp. 255–260.
CHICHI-2013-Feinberg13a #concept #human-computer #physics
Beyond digital and physical objects: the intellectual work as a concept of interest for HCI (MF), pp. 3317–3326.
CHICHI-2013-HowleyN #community #network
Factors impacting community response in an interest-sharing network (IH, TN), pp. 2283–2286.
CIKMCIKM-2013-LiuLAM #mining #personalisation #recommendation
Personalized point-of-interest recommendation by mining users’ preference transition (XL, YL, KA, CM), pp. 733–738.
ECIRECIR-2013-HegdePH #network #online #semantics #social
Semantic Tagging of Places Based on User Interest Profiles from Online Social Networks (VH, JXP, MH), pp. 218–229.
KDDKDD-2013-HuaCZLR #detection #named #twitter
STED: semi-supervised targeted-interest event detectionin in twitter (TH, FC, LZ, CTL, NR), pp. 1466–1469.
KDDKDD-2013-LiuFYX #learning #recommendation
Learning geographical preferences for point-of-interest recommendation (BL, YF, ZY, HX), pp. 1043–1051.
KDDKDD-2013-ShenWLW #knowledge base #modelling #twitter
Linking named entities in Tweets with knowledge base via user interest modeling (WS, JW, PL, MW), pp. 68–76.
MLDMMLDM-2013-LiM #community #mining #network #topic
Mining Groups of Common Interest: Discovering Topical Communities with Network Flows (LL, NDM), pp. 405–420.
RecSysRecSys-2013-TiroshiBKCK #network #predict #social
Cross social networks interests predictions based ongraph features (AT, SB, MAK, TC, TK), pp. 319–322.
RecSysRecSys-2013-WestonWY #multi
Nonlinear latent factorization by embedding multiple user interests (JW, RJW, HY), pp. 65–68.
SIGIRSIGIR-2013-PengS00W #smarttech
The knowing camera: recognizing places-of-interest in smartphone photos (PP, LS, KC, GC, SW), pp. 969–972.
SIGIRSIGIR-2013-YuanCMSM #recommendation
Time-aware point-of-interest recommendation (QY, GC, ZM, AS, NMT), pp. 363–372.
SIGIRSIGIR-2013-ZhangWYW #learning #network #predict
Learning latent friendship propagation networks with interest awareness for link prediction (JZ, CW, PSY, JW), pp. 63–72.
HTHT-2012-LimD #community #detection #twitter
Following the follower: detecting communities with common interests on twitter (KHL, AD), pp. 317–318.
CHICHI-2012-WhiteB
Characterizing local interests and local knowledge (RW, GB), pp. 1607–1610.
CIKMCIKM-2012-BordinoDP
Extracting interesting association rules from toolbar data (IB, DD, BP), pp. 2543–2546.
CIKMCIKM-2012-Diaz-AvilesDGSN #online #recommendation #topic #twitter #what
What is happening right now ... that interests me?: online topic discovery and recommendation in twitter (EDA, LD, ZG, LST, WN), pp. 1592–1596.
CIKMCIKM-2012-FuxmanKLT
Enabling direct interest-aware audience selection (AF, AK, ZL, PT), pp. 575–584.
CIKMCIKM-2012-LiWXCS #network #query #social
Spatial-aware interest group queries in location-based social networks (YL, DW, JX, BC, WS), pp. 2643–2646.
CIKMCIKM-2012-OhY #framework #named
iSampling: framework for developing sampling methods considering user’s interest (JO, HY), pp. 1667–1671.
CIKMCIKM-2012-PennacchiottiSVV #twitter
Making your interests follow you on twitter (MP, FS, HV, RV), pp. 165–174.
CIKMCIKM-2012-ShenDZT #multi #network #online #social
Interest-matching information propagation in multiple online social networks (YS, TND, HZ, MTT), pp. 1824–1828.
CIKMCIKM-2012-TangY #detection #named #roadmap #social #social media #statistics #topic
TUT: a statistical model for detecting trends, topics and user interests in social media (XT, CCY), pp. 972–981.
CIKMCIKM-2012-TanLZ #mining
Mining long-lasting exploratory user interests from search history (BT, YL, CZ), pp. 1477–1481.
ECIRECIR-2012-AlhadiGKN #microblog #monitoring #named #predict
LiveTweet: Monitoring and Predicting Interesting Microblog Posts (ACA, TG, JK, NN), pp. 569–570.
ICPRICPR-2012-DaveDG #question
Do humans fixate on interest points? (AD, RD, BG), pp. 2784–2787.
ICPRICPR-2012-GranaCBC #image #learning #segmentation
Learning non-target items for interesting clothes segmentation in fashion images (CG, SC, DB, RC), pp. 3317–3320.
ICPRICPR-2012-KataokaSM #detection #using
Region of Interest detection using indoor structure and saliency map (KK, KS, MM), pp. 3329–3332.
ICPRICPR-2012-VitaladevuniCPN #detection #documentation #image #using
Detecting near-duplicate document images using interest point matching (SNPV, FC, RP, PN), pp. 347–350.
KDIRKDIR-2012-AlkouzA #approach #network #semantics #social
An Interests Discovery Approach in Social Networks based on a Semantically Enriched Bayesian Network Model (AA, SA), pp. 300–305.
KMISKMIS-2012-LiLA #chat
Discovering Virtual Interest Groups across Chat Rooms (HL, JL, RA), pp. 152–157.
MLDMMLDM-2012-SiLQD #web
Discovering K Web User Groups with Specific Aspect Interests (JS, QL, TQ, XD), pp. 321–335.
RecSysRecSys-2012-Heitmann #framework #graph #multi #personalisation #semantics
An open framework for multi-source, cross-domain personalisation with semantic interest graphs (BH), pp. 313–316.
RecSysRecSys-2012-SklarSH #realtime #recommendation
Recommending interesting events in real-time with foursquare check-ins (MS, BS, AH), pp. 311–312.
SIGIRSIGIR-2012-RaeMPB #mining #web
Mining the web for points of interest (AR, VM, AP, HB), pp. 711–720.
SIGIRSIGIR-2012-TranF #information retrieval #interactive #using
Using eye-tracking with dynamic areas of interest for analyzing interactive information retrieval (VTT, NF), pp. 1165–1166.
SIGIRSIGIR-2012-YangLLR #analysis #graph #twitter
Finding interesting posts in Twitter based on retweet graph analysis (MCY, JTL, SWL, HCR), pp. 1073–1074.
SACSAC-2012-SoLJHL
Extending Open Directory Project to represent user interests (SS, JHL, DJ, JH, SL), pp. 354–359.
ICDARICDAR-2011-SunK #retrieval #using #visual notation
Similar Manga Retrieval Using Visual Vocabulary Based on Regions of Interest (WS, KK), pp. 1075–1079.
VLDBVLDB-2011-AgrawalBA #information management #network #social
Information Diffusion In Social Networks: Observing and Influencing Societal Interests (DA, CB, AEA), pp. 1512–1513.
HCIDUXU-v1-2011-BaltrunasLPR #mobile #recommendation
Context-Aware Places of Interest Recommendations for Mobile Users (LB, BL, SP, FR), pp. 531–540.
HCIHCI-MIIE-2011-GaoG #mobile #representation
The Effect of Time Orientation and Representation of Points of Interests on the Use of Mobile Tour Guide (FG, QG), pp. 59–68.
HCIHCI-UA-2011-LinHLYH #mining #using
Using Grounded Theory and Text Mining to Find Interesting Reading Materials for Slow EFL Learners (YCL, ClH, MHL, HFY, CFH), pp. 77–85.
CIKMCIKM-2011-WangHLCH #learning #recommendation
Learning to recommend questions based on public interest (JW, XH, ZL, WHC, BH), pp. 2029–2032.
CIKMCIKM-2011-WangLF #network
Connecting users with similar interests via tag network inference (XW, HL, WF), pp. 1019–1024.
CIKMCIKM-2011-WenL #social
Improving user interest inference from social neighbors (ZW, CYL), pp. 1001–1006.
ECIRECIR-2011-WangSE #retrieval #video
Video Retrieval Based on Words-of-Interest Selection (LW, DS, EE), pp. 687–690.
KDDKDD-2011-AhmedLAJS #behaviour #distributed #scalability
Scalable distributed inference of dynamic user interests for behavioral targeting (AA, YL, MA, VJ, AJS), pp. 114–122.
KDIRKDIR-2011-RenC #markov #modelling #predict #transaction
Users Interest Prediction Model — Based on 2nd Markov Model and Inter-transaction Association Rules (YR, ALC), pp. 244–249.
RecSysRecSys-2011-BraunhoferKR #mobile #music #recommendation
Recommending music for places of interest in a mobile travel guide (MB, MK, FR), pp. 253–256.
RecSysRecSys-2011-LiZL #integration #named #personalisation #recommendation
LOGO: a long-short user interest integration in personalized news recommendation (LL, LZ, TL), pp. 317–320.
SIGIRSIGIR-2011-TangWB #recommendation
Recommending interesting activity-related local entities (JT, RWW, PB), pp. 1161–1162.
SIGIRSIGIR-2011-WangSE #retrieval #video
Words-of-interest selection based on temporal motion coherence for video retrieval (LW, DS, EE), pp. 1197–1198.
SIGIRSIGIR-2011-YangGU #clustering #identification #self
Identifying points of interest by self-tuning clustering (YY, ZG, LHU), pp. 883–892.
SIGIRSIGIR-2011-YeYLL #collaboration #recommendation
Exploiting geographical influence for collaborative point-of-interest recommendation (MY, PY, WCL, DLL), pp. 325–334.
SACSAC-2011-BouidghaghenTB #approach #mobile #reasoning
Inferring situation-based interests for mobile users: a case based reasoning approach (OB, LT, MB), pp. 1166–1167.
SACSAC-2011-SadaouiJ #evaluation
An offer evaluation system based on buyers’ interests (SS, WJ), pp. 1713–1714.
SACSAC-2011-SasakiOWKIH #web
Extracting preference terms from web browsing histories excluding pages unrelated to users’ interests (KS, MO, NW, MK, TI, MH), pp. 823–824.
HTHT-2010-KondoTU #exclamation #web
Search your interests everywhere!: wikipedia-based keyphrase extraction from web browsing history (MK, AT, TU), pp. 295–296.
HTHT-2010-LeeB #network #similarity #social
Social networks and interest similarity: the case of CiteULike (DHL, PB), pp. 151–156.
VLDBVLDB-2010-BedathurBDMW #ad hoc #mining
Interesting-Phrase Mining for Ad-Hoc Text Analytics (SJB, KB, JD, NM, GW), pp. 1348–1357.
CHICHI-2010-ChoKJSS #distance #interface #proximity #query
Dynamic query interface for spatial proximity query with degree-of-interest varied by distance to query point (MC, BHK, DKJ, YGS, JS), pp. 693–702.
ICEISICEIS-HCI-2010-AstolfiMSA #difference #enterprise #people #problem #using
Using Cultural Differences to Join People with Common Interests or Problems in Enterprise Environment (GA, VMAdM, MARS, JCA), pp. 192–197.
CIKMCIKM-2010-Kawamae #topic
Latent interest-topic model: finding the causal relationships behind dyadic data (NK), pp. 649–658.
CIKMCIKM-2010-LeungLLW #mining #network #social
Mining interesting link formation rules in social networks (CWkL, EPL, DL, JW), pp. 209–218.
CIKMCIKM-2010-LiuCXD #collaboration #personalisation #ranking
Exploiting user interests for collaborative filtering: interests expansion via personalized ranking (QL, EC, HX, CHQD), pp. 1697–1700.
CIKMCIKM-2010-NakatsujiFTUFI #music #novel #recommendation
Classical music for rock fans?: novel recommendations for expanding user interests (MN, YF, AT, TU, KF, TI), pp. 949–958.
CIKMCIKM-2010-WhiteBD #predict #using
Predicting short-term interests using activity-based search context (RWW, PNB, STD), pp. 1009–1018.
ECIRECIR-2010-HuLW #collaboration
User’s Latent Interest-Based Collaborative Filtering (BH, ZL, JW), pp. 619–622.
ICPRICPR-2010-KloihoferK
Interest Point Based Tracking (WK, MK), pp. 3549–3552.
KDDKDD-2010-WenL #on the #quality #social
On the quality of inferring interests from social neighbors (ZW, CYL), pp. 373–382.
KEODKEOD-2010-TrikiBFH #design #modelling
Modeling Conflict of Interest in the Design of Secure Data Warehouses (ST, HBA, JF, NH), pp. 445–448.
RecSysRecSys-2010-FreyneBDG #network #recommendation #social
Social networking feeds: recommending items of interest (JF, SB, EMD, WG), pp. 277–280.
SIGIRSIGIR-2010-Kawamae10a #topic
Author interest topic model (NK), pp. 887–888.
SACSAC-2010-GoethalsPM #database #mining #relational #set
Mining interesting sets and rules in relational databases (BG, WLP, MM), pp. 997–1001.
SACSAC-2010-SorniottiM #facebook #implementation #network #social
Secret interest groups (SIGs) in social networks with an implementation on Facebook (AS, RM), pp. 621–628.
CHICHI-2009-HongC #using
Annotate once, appear anywhere: collective foraging for snippets of interest using paragraph fingerprinting (LH, EHC), pp. 1791–1794.
HCIHCI-AUII-2009-KawazuMOMM #web
A System to Construct an Interest Model of User Based on Information in Browsed Web Page by User (KK, MM, TO, MM, TM), pp. 304–313.
HCIHCI-AUII-2009-Moreno-LlorenaRP #collaboration #information management #interactive #modelling
Modeling of User Interest Based on Its Interaction with a Collaborative Knowledge Management System (JML, XAR, RCP), pp. 330–339.
CIKMCIKM-2009-BanerjeeCDMJNRM #social #social media
User interests in social media sites: an exploration with micro-blogs (NB, DC, KD, SM, AJ, SN, AR, SM), pp. 1823–1826.
CIKMCIKM-2009-LeeuwenBSS
Compressing tags to find interesting media groups (MvL, FB, BS, AS), pp. 1147–1156.
CIKMCIKM-2009-LinEF #identification #web
Identifying interesting assertions from the web (TL, OE, JF), pp. 1787–1790.
CIKMCIKM-2009-LiuB #community #ranking
Computational community interest for ranking (XL, VvB), pp. 245–254.
ICMLICML-2009-Rueping #ranking
Ranking interesting subgroups (SR), pp. 913–920.
KEODKEOD-2009-TatsiopoulosBS #on the #ontology
On Aligning Interesting Parts of Ontologies (CT, BB, KS), pp. 363–367.
RecSysRecSys-2009-CarolisNPG #comparative #generative
Generating comparative descriptions of places of interest in the tourism domain (BDC, NN, VLP, EG), pp. 277–280.
SIGIRSIGIR-2009-GrinevGBNSL
Sifting micro-blogging stream for events of user interest (MNG, MPG, AB, LN, AS, DL), p. 837.
SIGIRSIGIR-2009-Liu #community #ranking #using
Using computational community interest as an indicator for ranking (XL), p. 851.
SIGIRSIGIR-2009-WhiteBC #information management #predict
Predicting user interests from contextual information (RWW, PB, LC), pp. 363–370.
ITiCSEITiCSE-2008-Djordjevic #java #motivation #student
Java projects motivated by student interests (MD), p. 321.
ICEISICEIS-SAIC-2008-VladoiuC #community #framework
Framework for Building of a Dynamic User Community (EPH) — Sharing of Context-Aware, Public Interest Information or Knowledge through Always-on Services (MV, ZC), pp. 73–87.
CIKMCIKM-2008-LiuBP #categorisation
Categorizing blogger’s interests based on short snippets of blog posts (JL, LB, BP), pp. 1525–1526.
ICPRICPR-2008-Abdel-HakimF #detection #novel #quantifier
A novel stability quantification of detected interest points in scale-space (AEAH, AAF), pp. 1–4.
ICPRICPR-2008-LiLWLD #probability #sketching
Object-of-interest extraction by integrating stochastic inference with learnt active shape sketch (HL, LL, TW, XL, LD), pp. 1–4.
ICPRICPR-2008-LiYWS #invariant #using
Bi-model tracking of object of interest using invariant spatiogram descriptor (JL, WYY, JGW, WS), pp. 1–4.
ICPRICPR-2008-VikstenNK #detection
Point-of-interest detection for range data (FV, KN, MK), pp. 1–4.
SIGIRSIGIR-2008-OkamotoKY #empirical #video
One-button search extracts wider interests: an empirical study with video bookmarking search (MO, MK, TY), pp. 779–780.
SACSAC-2008-GomezKV
Aggregation languages for moving object and places of interest (LIG, BK, AAV), pp. 857–862.
SACSAC-2008-PalmaBKA #approach #clustering
A clustering-based approach for discovering interesting places in trajectories (ATP, VB, BK, LOA), pp. 863–868.
HCIHCI-AS-2007-ChoiLU #analysis #internet #user interface
Analysis of Internet Users’ Interests Based on Windows GUI Messages (JC, GL, YU), pp. 881–888.
HCIHCI-AS-2007-KimJCHH #learning
The Effect of Tangible Pedagogical Agents on Children’s Interest and Learning (JhK, DhJ, HSC, JYH, KHH), pp. 270–277.
HCIHCI-MIE-2007-HanCW #modelling
History Based User Interest Modeling in WWW Access (SH, WC, HW), pp. 308–312.
HCIHIMI-IIE-2007-OginoSK
The Inspiring Store: Decision Support System for Shopping Based on Individual Interests (AO, SuS, TK), pp. 948–954.
HCIOCSC-2007-WatkinsR #community
Cultural Institutions, Co-creativity and Communities of Interest (JW, AR), pp. 212–221.
ICEISICEIS-HCI-2007-AkoumianakisVVMK #collaboration #framework #performance #social
Experience-Based Social and Collaborative Performance in an “Electronic Village” of Local Interest: The EKONES Framework (DA, NV, GV, GM, DK), pp. 117–122.
CIKMCIKM-2007-DonZGTACSP #mining #visualisation
Discovering interesting usage patterns in text collections: integrating text mining with visualization (AD, EZ, MG, ST, LA, TC, BS, CP), pp. 213–222.
KDDKDD-2007-PonCBC #multi #topic
Tracking multiple topics for finding interesting articles (RKP, AFC, DB, TC), pp. 560–569.
SIGIRSIGIR-2007-KorC
Interesting nuggets and their impact on definitional question answering (KWK, TSC), pp. 335–342.
POPLPOPL-2007-VaswaniNC #profiling
Preferential path profiling: compactly numbering interesting paths (KV, AVN, TMC), pp. 351–362.
SOFTVISSOFTVIS-2006-ByelasT #architecture #diagrams #visualisation
Visualization of areas of interest in software architecture diagrams (HB, ACT), pp. 105–114.
ICPRICPR-v1-2006-TrujilloO #detection #evolution #how #using
Using Evolution to Learn How to Perform Interest Point Detection (LT, GO), pp. 211–214.
ICPRICPR-v2-2006-ChiuL #invariant #using
Matching Interest Points Using Affine Invariant Concentric Circles (HPC, TLP), pp. 167–170.
ICPRICPR-v3-2006-NiR
Region of Interest Watermarking Based on Fractal Dimension (RN, QR), pp. 934–937.
ICPRICPR-v3-2006-ZhangY #image #multi #using
Multiple Regions of Interest Image Coding using Compensation Scheme and Alternating Shift (LbZ, XY), pp. 758–761.
ICPRICPR-v4-2006-KoN #automation #image #segmentation
Automatic Object-of-Interest segmentation from natural images (BK, JYN), pp. 45–48.
KDDKDD-2006-XinSMH #feedback #interactive
Discovering interesting patterns through user’s interactive feedback (DX, XS, QM, JH), pp. 773–778.
RERE-2006-GiorginiMMZ #detection
Detecting Conflicts of Interest (PG, FM, JM, NZ), pp. 308–311.
SACSAC-2006-ShapiraTM
Study of the usefulness of known and new implicit indicators and their optimal combination for accurate inference of users interests (BS, MTM, AM), pp. 1118–1119.
SACSAC-2006-SrinivasanBC #sequence
Discovery of interesting episodes in sequence data (AS, DB, SC), pp. 598–602.
ICDARICDAR-2005-YinLH #documentation #image #using
Financial Document Image Coding with Regions of Interest Using JPEG2000 (XCY, CPL, ZH), pp. 96–100.
ITiCSEITiCSE-2005-Hemmendinger
Computing history: interesting times (DH), p. 366.
CHICHI-2005-XieLGM #image #learning
Learning user interest for image browsing on small-form-factor devices (XX, HL, SG, WYM), pp. 671–680.
KDDKDD-2005-KawamaeT #collaboration #information retrieval #semantics
Information retrieval based on collaborative filtering with latent interest semantic map (NK, KT), pp. 618–623.
SIGIRSIGIR-2005-TeevanDH #analysis #automation #personalisation #process
Personalizing search via automated analysis of interests and activities (JT, STD, EH), pp. 449–456.
SACSAC-2005-HeI #distributed #resource management #self
Forming resource-sharing coalitions: a distributed resource allocation mechanism for self-interested agents in computational grids (LH, TRI), pp. 84–91.
HPDCHPDC-2005-IamnitchiF #community
Interest-aware information dissemination in small-world communities (AI, ITF), pp. 167–175.
SIGMODSIGMOD-2004-CongXPTY #array #dataset #named
FARMER: Finding Interesting Rule Groups in Microarray Datasets (GC, AKHT, XX, FP, JY), pp. 143–154.
ITiCSEITiCSE-2004-Gal-EzerLS #problem
Interesting basic problems for CS1 (JGE, DL, DS), p. 275.
ICEISICEIS-v2-2004-LesslerERK #using
Dynamic Interest Profiles: Tracking User Interests Using Personal Information (JL, SE, JR, VK), pp. 281–288.
ICPRICPR-v1-2004-LaptevL #adaptation
Velocity Adaptation of Space-Time Interest Points (IL, TL), pp. 52–56.
ICPRICPR-v1-2004-LindebergAL
Galilean-Diagonalized Spatio-Temporal Interest Operators (TL, AA, IL), pp. 57–62.
ICPRICPR-v2-2004-SanchezBM
Prioritized Region of Interest Coding in JPEG2000 (VFS, AB, MKM), pp. 799–802.
ICPRICPR-v3-2004-KapoorPI #detection #multi #probability
Probabilistic Combination of Multiple Modalities to Detect Interest (AK, RWP, YI), pp. 969–972.
ICPRICPR-v4-2004-PoonWS
A New Method in Locating and Segmenting Palmprint into Region-of-Interest (CP, DCMW, HCS), pp. 533–536.
SIGIRSIGIR-2004-WhiteJ04a #predict
An implicit system for predicting interests (RWW, JMJ), p. 595.
CIKMCIKM-2003-FisherE #documentation #representation
Representing interests as a hyperlinked document collection (MF, RME), pp. 378–385.
CIKMCIKM-2003-WidyantoroIY
Tracking changes in user interests with a few relevance judgments (DHW, TRI, JY), pp. 548–551.
SACSAC-2003-BragaCCKL #xml
Discovering Interesting Information in XML Data with Association Rules (DB, AC, SC, MK, PLL), pp. 450–454.
CSEETCSEET-2002-Kaner #re-engineering #tutorial
Tutorial 4: Issues in Commmercial Law of Interest to Software Engineering Educators (CK), pp. 273–274.
ITiCSEITiCSE-2002-SheardM #gender
Creating an interest in IT: a gender study (JS, SM), p. 236.
CIKMCIKM-2002-Zemankova #information management #question #research
Knowledge and information management: Is it possible to do interesting and important research, get funded, be useful and appreciated? (MZ), pp. 373–374.
ICPRICPR-v2-2002-TweedM #analysis #automation #detection
Automatic Detection of Regions of Interest in Mammographies Based on a Combined Analysis of Texture and Histogram (TT, SM), pp. 448–452.
ICPRICPR-v3-2002-GolenzerVL #documentation #image
Finding Regions of Interest in Document Images by Planar HMM (JG, CVG, PML), pp. 415–418.
SACSAC-2002-MaciasVR #algorithm #mining #using
Mining interesting regions using an evolutionary algorithm (JLÁM, JMV, JCRS), pp. 498–502.
VISSOFTSVIS-2001-DemetrescuFS #algorithm #question #specification #visualisation
Specifying Algorithm Visualizations: Interesting Events or State Mapping? (CD, IF, JTS), pp. 16–30.
ICEISICEIS-v2-2001-WillmottB #information management
May Your Information Service Live in Interesting Times.. (SW, BB), pp. 1101–1109.
CIKMCIKM-2001-ChenC #music #recommendation
A Music Recommendation System Based on Music Data Grouping and User Interests (HCC, ALPC), pp. 231–238.
ICEISICEIS-2000-Laleau #database #formal method #on the #specification #uml
On the Interest of Combining UML with the B Formal Method for the Specification of Database Applications (RL), pp. 56–63.
ICPRICPR-v3-2000-AlbanesiFG #adaptation #image
Adaptive Image Compression Based on Regions of Interest and a Modified Contrast Sensitivity Function (MGA, MF, FG), pp. 3219–3222.
ICPRICPR-v4-2000-WolfKBJ #image #retrieval #using
Content Based Image Retrieval Using Interest Points and Texture Features (CW, WGK, HB, JMJ), pp. 4234–4237.
ICDARICDAR-1999-Walischewski #automation #learning
Learning Regions of Interest in Postal Automation (HW), pp. 317–320.
CIKMCIKM-1999-WidyantoroIY #adaptation #algorithm #learning
An Adaptive Algorithm for Learning Changes in User Interests (DHW, TRI, JY), pp. 405–412.
KDDKDD-1999-BayardoA #mining
Mining the Most Interesting Rules (RJBJ, RA), pp. 145–154.
KDDKDD-1999-FawcettP #behaviour #monitoring #process
Activity Monitoring: Noticing Interesting Changes in Behavior (TF, FJP), pp. 53–62.
KDDKDD-1999-LiuHMC #mining #using
Mining Interesting Knowledge Using DM-II (BL, WH, YM, SC), pp. 430–434.
KDDKDD-1999-Sahar #what
Interestingness via What is Not Interesting (SS), pp. 332–336.
VLDBVLDB-1998-RamaswamyMS #on the
On the Discovery of Interesting Patterns in Association Rules (SR, SM, AS), pp. 368–379.
ICPRICPR-1998-HansenEL #approach #finite #modelling #simulation
Region-of-interest based finite element modelling of the brain-an approach to brain surgery simulation (KVH, MSE, OVL), pp. 292–296.
CHICHI-1997-BaldonadoW #evolution #interface #named
SenseMaker: An Information-Exploration Interface Supporting the Contextual Evolution of a User’s Interests (MQWB, TW), pp. 11–18.
HCIHCI-SEC-1997-FavelaC #navigation
Estimating User Interests from their Navigation Patterns in the WWW (JF, AC), pp. 831–834.
SACSAC-1997-ChanA #algorithm #effectiveness #mining
An effective algorithm for mining interesting quantitative association rules (KCCC, WHA), pp. 88–90.
KDDAKDDM-1996-MatheusPM #what
Selecting and reporting What Is Interesting (CJM, GPS, DM), pp. 495–515.
ICPRICPR-1996-Reisfeld #detection
Constrained phase congruency: simultaneous detection of interest points and of their orientational scales (DR), pp. 750–754.
SEKESEKE-1996-YoonH #framework #object-oriented #optimisation #query #semantics
Finding Interesting Knowledge in Object-Oriented Frameworks for Semantic Query Optimization (SCY, LJH), pp. 108–115.
SIGIRSIGIR-1996-LamMMP #detection #information management #personalisation
Detection of Shifts in User Interests for Personalized Information Filtering (WL, SM, JM, MJP), pp. 317–325.
CHICHI-1995-YamaashiKTM #image #video
User-Centered Video: Transmitting Video Images Based on the User’s Interest (KY, YK, MT, HM), pp. 325–330.
KDDKDD-1995-CortesDHV #capacity #complexity #predict
Capacity and Complexity Control in Predicting the Spread Between Borrowing and Lending Interest Rates (CC, HD, DH, VV), pp. 51–56.
AdaTRI-Ada-1994-Gilroy #problem #reuse
Interesting Problems in Transforming Existing Software for Reusability (KG), pp. 374–387.
CIKMCIKM-1994-KlemettinenMRTV #scalability #set
Finding Interesting Rules from Large Sets of Discovered Association Rules (MK, HM, PR, HT, AIV), pp. 401–407.
CSCWCSCW-1992-BrothersHNSAFL #communication
Supporting Informal Communication via Ephemeral Interest Groups (LB, JDH, JN, SS, SPA, GWF, MLL), pp. 84–90.
ICMLML-1988-WisniewskiA #induction #learning
Some Interesting Properties of a Connectionist Inductive Learning System (EJW, JAA), pp. 181–187.
POPLPOPL-1986-Wolper #logic #source code
Expressing Interesting Properties of Programs in Propositional Temporal Logic (PW), pp. 184–193.
POPLPOPL-1982-ShermanPH #logic #process
Is the Interesting Part of Process Logic Uninteresting — A Translation from PL to PDL (RS, AP, DH), pp. 347–360.
DACDAC-1981-Gwyn
Government interest and involvement in DA from the Sandia viewpoint (CWG), p. 336.
DACDAC-1981-Losleben #roadmap
Current issues in government interest and involvement in CAD (PL), pp. 337–341.
DACDAC-1981-Sumney #automation #design #development #perspective
Government interest and involvement in design automation development the VHSIC perspective (LWS), pp. 344–346.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev.
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