Stem prefer$ (all stems)

322 papers:

HT-2015-BledaiteR #collaboration #elicitation

Pairwise Preferences Elicitation and Exploitation for Conversational Collaborative Filtering (LB, FR), pp. 231–236.

PODS-2015-FaginKK #complexity

Dichotomies in the Complexity of Preferred Repairs (RF, BK, PGK), pp. 3–15.

VLDB-2015-QianGJ #adaptation #comparison #learning

Learning User Preferences By Adaptive Pairwise Comparison (LQ, JG, HVJ), pp. 1322–1333.

ICALP-v1-2015-CsehHK

Popular Matchings with Two-Sided Preferences and One-Sided Ties (ÁC, CCH, TK), pp. 367–379.

CHI-2015-DenisovaC #game studies #question

First Person vs. Third Person Perspective in Digital Games: Do Player Preferences Affect Immersion? (AD, PC), pp. 145–148.

CHI-2015-ShihLW #privacy #smarttech

Privacy Tipping Points in Smartphones Privacy Preferences (FS, IL, DJW), pp. 807–816.

CSCW-2015-JacobsCM #health #information management

Comparing Health Information Sharing Preferences of Cancer Patients, Doctors, and Navigators (MLJ, JC, EDM), pp. 808–818.

CSCW-2015-SharmaC #modelling #people #resource management

Studying and Modeling the Connection between People’s Preferences and Content Sharing (AS, DC), pp. 1246–1257.

DUXU-UI-2015-LiHF #quality #requirements #scalability #user interface #using

Scaling Preferences of Different Stakeholders — Using the Example of Prioritizing Quality Requirements on User Interface Texts (YL, TH, PF), pp. 75–86.

DUXU-UI-2015-LinL15b #design

Affordances Feature on Package Design has Preference Effect on Content (JL, CHL), pp. 87–94.

HCI-UC-2015-JachK #layout #online

Factors Influencing Online Shop Layout Preferences (KJ, MK), pp. 419–429.

HIMI-IKD-2015-WinterSTMCSVS #learning #question #student

Learning to Manage NextGen Environments: Do Student Controllers Prefer to Use Datalink or Voice? (AW, JS, YT, AM, SC, KS, KPLV, TZS), pp. 661–667.

ICEIS-v1-2015-ConstantinoTPLR #scheduling

A Variable Neighbourhood Search for Nurse Scheduling with Balanced Preference Satisfaction (AAC, ET, RLP, DLS, WR), pp. 462–470.

ICML-2015-ParkNZSD #collaboration #ranking #scalability

Preference Completion: Large-scale Collaborative Ranking from Pairwise Comparisons (DP, JN, JZ, SS, ISD), pp. 1907–1916.

ICML-2015-RajkumarGL0 #probability #ranking #set

Ranking from Stochastic Pairwise Preferences: Recovering Condorcet Winners and Tournament Solution Sets at the Top (AR, SG, LHL, SA), pp. 665–673.

RecSys-2015-GrausW #elicitation #experience #user interface

Improving the User Experience during Cold Start through Choice-Based Preference Elicitation (MPG, MCW), pp. 273–276.

RecSys-2015-Hidasi #modelling

Context-aware Preference Modeling with Factorization (BH), pp. 371–374.

RecSys-2015-KapoorKTKS #adaptation #quote

“I like to explore sometimes”: Adapting to Dynamic User Novelty Preferences (KK, VK, LGT, JAK, PRS), pp. 19–26.

RecSys-2015-LuC #personalisation #recommendation

Exploiting Geo-Spatial Preference for Personalized Expert Recommendation (HL, JC), pp. 67–74.

RecSys-2015-MouliC #dependence #feedback #modelling

Making the Most of Preference Feedback by Modeling Feature Dependencies (SCM, SC), pp. 285–288.

RecSys-2015-Salehi-AbariB #network #recommendation #social

Preference-oriented Social Networks: Group Recommendation and Inference (ASA, CB), pp. 35–42.

SIGIR-2015-BahCC #documentation

Document Comprehensiveness and User Preferences in Novelty Search Tasks (AB, PC, BC), pp. 735–738.

SIGIR-2015-KiselevaMBDKEKT #optimisation

Where to Go on Your Next Trip?: Optimizing Travel Destinations Based on User Preferences (JK, MJIM, LB, CD, IK, MSE, JK, AT, DH), pp. 1097–1100.

SIGIR-2015-WangSLE #difference #generative #timeline #twitter

Assessor Differences and User Preferences in Tweet Timeline Generation (YW, GS, JL, ME), pp. 615–624.

PPDP-2015-RondogiannisT #logic programming #using

Expressing preferences in logic programming using an infinite-valued logic (PR, AT), pp. 208–219.

SAC-2015-CinalliMPG #multi #optimisation

Collective preferences in evolutionary multi-objective optimization: techniques and potential contributions of collective intelligence (DC, LM, NSP, ACBG), pp. 133–138.

ESEC-FSE-2015-BehrangCO #consistency #nondeterminism

Users beware: preference inconsistencies ahead (FB, MBC, AO), pp. 295–306.

ASE-2014-JinCQR #configuration management #named

PrefFinder: getting the right preference in configurable software systems (DJ, MBC, XQ, BR), pp. 151–162.

HT-2014-AbbasiTL #learning #scalability #using

Scalable learning of users’ preferences using networked data (MAA, JT, HL), pp. 4–12.

HT-2014-LehmannMLLK #behaviour #wiki

Reader preferences and behavior on Wikipedia (JL, CMB, DL, ML, AK), pp. 88–97.

VLDB-2014-0002LW #elicitation #generative

Generating Top-k Packages via Preference Elicitation (MX, LVSL, PTW), pp. 1941–1952.

VLDB-2014-JacobKS #analysis

A System for Management and Analysis of Preference Data (MJ, BK, JS), pp. 1255–1258.

VLDB-2015-AlexeRT14 #integration

Preference-aware Integration of Temporal Data (BA, MR, WCT), pp. 365–376.

VLDB-2015-ZhangWWY14 #behaviour #predict #social

Inferring Continuous Dynamic Social Influence and Personal Preference for Temporal Behavior Prediction (JZ, CW, JW, JXY), pp. 269–280.

ITiCSE-2014-SmithGM #comprehension #re-engineering #student

Understanding students’ preferences of software engineering projects (TS, SSG, RM), pp. 135–140.

CHI-2014-GouZY #automation #comprehension #social #social media

KnowMe and ShareMe: understanding automatically discovered personality traits from social media and user sharing preferences (LG, MXZ, HY), pp. 955–964.

CHI-2014-KimG

Photo sharing of the subject, by the owner, for the viewer: examining the subject’s preference (AK, GG), pp. 975–978.

CHI-2014-LoeppHZ #collaboration #elicitation #recommendation

Choice-based preference elicitation for collaborative filtering recommender systems (BL, TH, JZ), pp. 3085–3094.

CHI-2014-ReineckeG #visual notation

Quantifying visual preferences around the world (KR, KZG), pp. 11–20.

DUXU-DP-2014-RizvanogluOA

The Impact of Human Likeness on the Older Adults’ Perceptions and Preferences of Humanoid Robot Appearance (KR, ÖÖ, ÖA), pp. 164–172.

HIMI-DE-2014-ChangT #case study

A Study of the Factors Affecting Product Values and Preferences-Using Vacuum Cleaner as an Example (WcC, HyT), pp. 561–571.

LCT-TRE-2014-BraunhoferEGR #learning #mobile #recommendation

Context Dependent Preference Acquisition with Personality-Based Active Learning in Mobile Recommender Systems (MB, ME, MG, FR), pp. 105–116.

SCSM-2014-KumamotoSW #twitter #visualisation

Visualizing Impression-Based Preferences of Twitter Users (TK, TS, HW), pp. 209–220.

ICEIS-v2-2014-BalikJ #adaptation #api #rest

RESTful User Model API for the Exchange of User’s Preferences among Adaptive Systems (MB, IJ), pp. 627–634.

CIKM-2014-AwadallahZ #evaluation

Machine-Assisted Search Preference Evaluation (AHA, IZ), pp. 51–60.

CIKM-2014-Wen0R #precise

Enabling Precision/Recall Preferences for Semi-supervised SVM Training (ZW, RZ, KR), pp. 421–430.

CIKM-2014-ZhongPXYM #adaptation #collaboration #learning #recommendation

Adaptive Pairwise Preference Learning for Collaborative Recommendation with Implicit Feedbacks (HZ, WP, CX, ZY, ZM), pp. 1999–2002.

ECIR-2014-KazaiS #difference #evaluation #information retrieval #performance #query

Dissimilarity Based Query Selection for Efficient Preference Based IR Evaluation (GK, HS), pp. 172–183.

ICML-c2-2014-Busa-FeketeHS #elicitation #modelling #rank #statistics #using

Preference-Based Rank Elicitation using Statistical Models: The Case of Mallows (RBF, EH, BS), pp. 1071–1079.

KDIR-2014-FukumotoSSM #collaboration #recommendation

Incorporating Guest Preferences into Collaborative Filtering for Hotel Recommendation (FF, HS, YS, SM), pp. 22–30.

KR-2014-CeruttiGVZ #recursion

An SCC Recursive Meta-Algorithm for Computing Preferred Labellings in Abstract Argumentation (FC, MG, MV, MZ).

RecSys-2014-DeryKRS #elicitation #recommendation

Preference elicitation for narrowing the recommended list for groups (LND, MK, LR, BS), pp. 333–336.

RecSys-2014-NeidhardtSSW #elicitation

Eliciting the users’ unknown preferences (JN, RS, LS, HW), pp. 309–312.

RecSys-2014-RafailidisN #modelling

Modeling the dynamics of user preferences in coupled tensor factorization (DR, AN), pp. 321–324.

RecSys-2014-Sharma #modelling #people #social

Modeling the effect of people’s preferences and social forces on adopting and sharing items (AS), pp. 421–424.

SIGIR-2014-QiuCYLL #learning #personalisation #ranking

Item group based pairwise preference learning for personalized ranking (SQ, JC, TY, CL, HL), pp. 1219–1222.

SIGIR-2014-YaoHHZ #modelling #recommendation #trust

Modeling dual role preferences for trust-aware recommendation (WY, JH, GH, YZ), pp. 975–978.

SIGIR-2014-ZhangWRS #performance #recommendation

Preference preserving hashing for efficient recommendation (ZZ, QW, LR, LS), pp. 183–192.

SAC-2014-BasuCKVMM #named

PrefRank: fair aggregation of subjective user preferences (AB, JCC, SK, JV, SM, YM), pp. 287–288.

SPLC-2014-SteinNC #feature model #multi

Preference-based feature model configuration with multiple stakeholders (JS, IN, EC), pp. 132–141.

SAT-2014-Marques-SilvaP #on the

On Computing Preferred MUSes and MCSes (JMS, AP), pp. 58–74.

HT-2013-ChengC #how

How annotation styles influence content and preferences (JC, DC), pp. 214–218.

VLDB-2013-FarnanLCY #named #query

PAQO: A Preference-Aware Query Optimizer for PostgreSQL (NLF, AJL, PKC, TY), pp. 1334–1337.

ICALP-v2-2013-HoeferW #strict

Locally Stable Marriage with Strict Preferences (MH, LW), pp. 620–631.

CHI-2013-KnijnenburgKJ #privacy #question

Preference-based location sharing: are more privacy options really better? (BPK, AK, HJ), pp. 2667–2676.

CHI-2013-PangNROH #health

Technology preferences and routines for sharing health information during the treatment of a chronic illness (CP, CN, BER, EO, SH), pp. 1759–1768.

DUXU-WM-2013-KondoK #development #evaluation #image #interactive #prototype #using #visual notation

Trial of Diagnostic to Find Preferable Job Using the Visual Image Information Interaction: Prototype Development and Evaluation in Global Human Resources Matching Site (AK, NK), pp. 525–532.

DUXU-WM-2013-TsengLL

The Relationship between Preference and Stare Duration on Bicycle (JHT, DBL, ZHL), pp. 450–456.

HCI-UC-2013-TajimaIK #analysis

Analysis of Customer Preference through Unforced Natural Passive Observation (TT, YI, TK), pp. 466–474.

HIMI-D-2013-ChangC #case study

A Study of Different Consumer Groups’ Preferences of Time Display on Watches (WCC, WTC), pp. 421–430.

HIMI-D-2013-MogawaSI #algorithm #product line #representation #set

Generalized Algorithm for Obtaining a Family of Evaluating Attributes’ Sets Representing Customer’s Preference (TM, FS, SI), pp. 494–504.

HIMI-LCCB-2013-ShiTS #consistency #nondeterminism #online #recommendation

Timing and Basis of Online Product Recommendation: The Preference Inconsistency Paradox (AS, CHT, CLS), pp. 531–539.

HIMI-LCCB-2013-WuN #interactive #process #recommendation

Integrating the Anchoring Process with Preference Stability for Interactive Movie Recommendations (ICW, YFN), pp. 639–648.

OCSC-2013-ShiYH #comprehension #matter #motivation #network #social

Understanding Social Network Sites (SNSs) Preferences: Personality, Motivation, and Happiness Matters (YS, XY, JH), pp. 94–103.

CIKM-2013-FiondaP #graph #query

Querying graphs with preferences (VF, GP), pp. 929–938.

CIKM-2013-LiuLAM #mining #personalisation #recommendation

Personalized point-of-interest recommendation by mining users’ preference transition (XL, YL, KA, CM), pp. 733–738.

CIKM-2013-VolkovsZ #framework

CRF framework for supervised preference aggregation (MV, RSZ), pp. 89–98.

CIKM-2013-XingLNZMZ #modelling

Incorporating user preferences into click models (QX, YL, JYN, MZ, SM, KZ), pp. 1301–1310.

ICML-c3-2013-Busa-FeketeSCWH #adaptation

Top-k Selection based on Adaptive Sampling of Noisy Preferences (RBF, BS, WC, PW, EH), pp. 1094–1102.

KDD-2013-DasMGW #learning

Learning to question: leveraging user preferences for shopping advice (MD, GDFM, AG, IW), pp. 203–211.

KDD-2013-KapoorSSS

Measuring spontaneous devaluations in user preferences (KK, NS, JS, PRS), pp. 1061–1069.

KDD-2013-LiuFYX #learning #recommendation

Learning geographical preferences for point-of-interest recommendation (BL, YF, ZY, HX), pp. 1043–1051.

RecSys-2013-KucharK #case study #learning #named #web #web service

GAIN: web service for user tracking and preference learning — a smart TV use case (JK, TK), pp. 467–468.

RecSys-2013-MouraoRKM #hybrid #recommendation

Exploiting non-content preference attributes through hybrid recommendation method (FM, LCdR, JAK, WMJ), pp. 177–184.

RecSys-2013-TaramigkouBCAM #music

Escape the bubble: guided exploration of music preferences for serendipity and novelty (MT, EB, KC, DA, GM), pp. 335–338.

RecSys-2013-TsoukiasV #tutorial

Tutorial on preference handling (AT, PV), pp. 497–498.

SIGIR-2013-BashirAWGPA #documentation #rating

A document rating system for preference judgements (MB, JA, JW, PBG, VP, JAA), pp. 909–912.

SIGIR-2013-BronGNBR #interface #multi

Aggregated search interface preferences in multi-session search tasks (MB, JvG, FN, LBB, MdR), pp. 123–132.

SIGIR-2013-ChandarC #evaluation #metric

Preference based evaluation measures for novelty and diversity (PC, BC), pp. 413–422.

SIGIR-2013-KimKZ #evaluation #information retrieval

Relevance dimensions in preference-based IR evaluation (JK, GK, IZ), pp. 913–916.

SIGIR-2013-RoitmanCME #modelling #recommendation

Modeling the uniqueness of the user preferences for recommendation systems (HR, DC, YM, IE), pp. 777–780.

SIGIR-2013-SavenkovLL #behaviour #detection

Search engine switching detection based on user personal preferences and behavior patterns (DS, DL, QL), pp. 33–42.

MoDELS-2013-SongBCC #adaptation #constraints #modelling #runtime #self #theorem proving #using

Self-adaptation with End-User Preferences: Using Run-Time Models and Constraint Solving (HS, SB, AC, SC), pp. 555–571.

MoDELS-2013-SongBCC #adaptation #constraints #modelling #runtime #self #theorem proving #using

Self-adaptation with End-User Preferences: Using Run-Time Models and Constraint Solving (HS, SB, AC, SC), pp. 555–571.

REFSQ-2013-IngolfoSJSPM

Choosing Compliance Solutions through Stakeholder Preferences (SI, AS, IJ, AS, AP, JM), pp. 206–220.

ICSE-2013-Oster #component #reasoning

Reasoning with qualitative preferences to develop optimal component-based systems (ZJO), pp. 1456–1458.

ICSE-2013-SayyadMA #case study #on the #product line #re-engineering #search-based

On the value of user preferences in search-based software engineering: a case study in software product lines (ASS, TM, HA), pp. 492–501.

SIGMOD-2012-ArvanitisK #named

PrefDB: bringing preferences closer to the DBMS (AA, GK), pp. 665–668.

SIGMOD-2012-YuAY #query #scalability

Processing a large number of continuous preference top-k queries (AY, PKA, JY), pp. 397–408.

VLDB-2012-WenzelEMK #query

Complex Preference Queries Supporting Spatial Applications for User Groups (FW, ME, SM, WK), pp. 1946–1949.

CHI-2012-YeeDSN

Through the azerothian looking glass: mapping in-game preferences to real world demographics (NY, ND, HTS, LN), pp. 2811–2814.

ICEIS-v1-2012-Castanon-PugaGFJC #distributed #multi #social #towards

A Distributed Agency Methodology applied to Complex Social Systems — Towards a Multi-dimensional Model of the Religious Affiliation Preference (MCP, CGP, DLF, RJM, JRC), pp. 272–277.

ICEIS-v2-2012-Bourougaa-TriaSM #adaptation #ubiquitous

Management of User Preferences and Conflicts to Ubiquitous Applications Adaptation (SBT, HSB, FM), pp. 271–276.

CIKM-2012-FangS #approach #feedback #learning #recommendation

A latent pairwise preference learning approach for recommendation from implicit feedback (YF, LS), pp. 2567–2570.

CIKM-2012-VolkovsLZ #learning #rank

Learning to rank by aggregating expert preferences (MV, HL, RSZ), pp. 843–851.

CIKM-2012-WangZCM #network #retrieval #using

Top-k retrieval using conditional preference networks (HW, XZ, WC, PM), pp. 2075–2079.

ICPR-2012-NamA #image #learning

Learning human preferences to sharpen images (MN, NA), pp. 2173–2176.

RecSys-2012-BollenGW #memory management #retrieval

Remembering the stars?: effect of time on preference retrieval from memory (DGFMB, MPG, MCW), pp. 217–220.

RecSys-2012-SalimansPG #collaboration #learning #ranking

Collaborative learning of preference rankings (TS, UP, TG), pp. 261–264.

SIGIR-2012-ChandarC #documentation #novel #retrieval #using

Using preference judgments for novel document retrieval (PC, BC), pp. 861–870.

SIGIR-2012-ChandarC12a #rank #using

Using PageRank to infer user preferences (PC, BC), pp. 1167–1168.

SIGIR-2012-YangCZY #collaboration #mining

Collaborative filtering with short term preferences mining (DY, TC, WZ, YY), pp. 1043–1044.

SAC-2012-NoorianFM #trust

Preference-oriented QoS-based service discovery with dynamic trust and reputation management (ZN, MF, SM), pp. 2014–2021.

SAC-2012-WinterB

Explicitly accommodating origin preference for inter-domain traffic engineering (RW, IvB), pp. 583–587.

LCTES-2012-LiZXH #embedded #hybrid

Compiler-assisted preferred caching for embedded systems with STT-RAM based hybrid cache (QL, MZ, CJX, YH), pp. 109–118.

ASE-2011-OsterSB #analysis #automation #requirements

Automating analysis of qualitative preferences in goal-oriented requirements engineering (ZJO, GRS, SB), pp. 448–451.

VLDB-2011-BenouaretBHB #composition #fuzzy #named #query #web #web service

FuDoCS: A Web Service Composition System Based on Fuzzy Dominance for Preference Query Answering (KB, DB, AH, MB), pp. 1430–1433.

SEFM-2011-MoriLDID #adaptation #configuration management #self

Leveraging State-Based User Preferences in Context-Aware Reconfigurations for Self-Adaptive Systems (MM, FL, CD, PI, SD), pp. 286–301.

CHI-2011-DongHK #interface #performance

Entity-linking interfaces in user-contributed content: preference and performance (XD, FMH, JAK), pp. 2187–2196.

CHI-2011-GolbeckH #twitter

Computing political preference among twitter followers (JG, DLH), pp. 1105–1108.

CHI-2011-IqbalGH #cost analysis

Peripheral computing during presentations: perspectives on costs and preferences (STI, JG, EH), pp. 891–894.

CHI-2011-KaneWL #comprehension #gesture #people #performance

Usable gestures for blind people: understanding preference and performance (SKK, JOW, REL), pp. 413–422.

CHI-2011-SchwindBH #recommendation

I will do it, but i don’t like it: user reactions to preference-inconsistent recommendations (CS, JB, FWH), pp. 349–352.

CHI-2011-ToomimKPL #human-computer #interactive #metric #towards

Utility of human-computer interactions: toward a science of preference measurement (MT, TK, CP, JAL), pp. 2275–2284.

CSCW-2011-Johri #communication #distributed #email #exclamation #tool support

Look ma, no email!: blogs and IRC as primary and preferred communication tools in a distributed firm (AJ), pp. 305–308.

CSCW-2011-PatilPK #navigation #privacy #question #social

With a little help from my friends: can social navigation inform interpersonal privacy preferences? (SP, XP, AK), pp. 391–394.

DUXU-v1-2011-SpyridonisG #2d #3d #visualisation

2D vs. 3D Pain Visualization: User Preferences in a Spinal Cord Injury Cohort (FS, GG), pp. 315–322.

HCD-2011-PommeranzWJ #composition #design #elicitation #evaluation #interface #towards

Towards Compositional Design and Evaluation of Preference Elicitation Interfaces (AP, PW, CMJ), pp. 586–596.

IDGD-2011-OginoKIK #behaviour #comprehension

Smart Store Understanding Consumer’s Preference through Behavior Logs (AO, TK, YI, TK), pp. 385–392.

CIKM-2011-HofmannWR #probability

A probabilistic method for inferring preferences from clicks (KH, SW, MdR), pp. 249–258.

CIKM-2011-JiangLN #concept #personalisation

Context-aware search personalization with concept preference (DJ, KWTL, WN), pp. 563–572.

CIKM-2011-SzummerY #learning #rank

Semi-supervised learning to rank with preference regularization (MS, EY), pp. 269–278.

ICML-2011-LuB #learning #modelling

Learning Mallows Models with Pairwise Preferences (TL, CB), pp. 145–152.

RecSys-2011-LiuMX #multi #recommendation

Multi-criteria service recommendation based on user criteria preferences (LL, NM, DLX), pp. 77–84.

RE-2011-LiaskosR

Applying preference-based customization (SL, VR), pp. 353–354.

SAC-2011-DabringerE #performance #query #retrieval

Efficient top-k retrieval for user preference queries (CD, JE), pp. 1045–1052.

SAC-2011-OgnjanovicGBA

Conditional preferences in software stakeholders’ judgments (IO, DG, EB, MA), pp. 683–690.

SAC-2011-RosaGO #problem #quality #satisfiability

Optimal stopping methods for finding high quality solutions to satisfiability problems with preferences (EDR, EG, BO), pp. 901–906.

SAC-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.

ICLP-2011-Simko #logic programming #order

Accepting the natural order of rules in a logic program with preferences (AS), pp. 284–289.

SIGMOD-2010-LevandoskiMKK #evaluation

A demonstration of FlexPref: extensible preference evaluation inside the DBMS engine (JJL, MFM, MEK, VRK), pp. 1247–1250.

SIGMOD-2010-ZhaoDTT #approach #elicitation #order

Call to order: a hierarchical browsing approach to eliciting users’ preference (FZ, GD, KLT, AKHT), pp. 27–38.

VLDB-2010-LevandoskiMK #database #named

CareDB: A Context and Preference-Aware Location-Based Database System (JJL, MFM, MEK), pp. 1529–1532.

VLDB-2011-Rocha-JuniorVDN10 #performance #query

Efficient Processing of Top-k Spatial Preference Queries (JBRJ, AV, CD, KN), pp. 93–104.

MSR-2010-ColacoMFH #analysis #developer

OSS developers context-specific Preferred Representational systems: A initial Neurolinguistic text analysis of the Apache mailing list (MCJ, MGM, MF, PHdS), pp. 126–129.

CSCW-2010-IqbalH #case study

Notifications and awareness: a field study of alert usage and preferences (STI, EH), pp. 27–30.

ICEIS-HCI-2010-MuranoT #effectiveness #feedback #statistics

Effectiveness and Preferences of Anthropomorphic Feedback in a Statistics Context (PM, NMT), pp. 143–148.

ICEIS-HCI-2010-SuadamaraWH #design #interactive #towards

Culture Influence on Human Computer Interaction — Cultural Factors Toward User’s Preference on Groupware Application Design (RS, SW, AH), pp. 186–191.

CIKM-2010-LevandoskiMK #evaluation #query

Preference query evaluation over expensive attributes (JJL, MFM, MEK), pp. 319–328.

CIKM-2010-YuKN #named #question

RankSVR: can preference data help regression? (HY, SK, SHN), pp. 879–888.

ECIR-2010-TangS #evaluation

Evaluation and User Preference Study on Spatial Diversity (JT, MS), pp. 179–190.

ICPR-2010-SomolGP #algorithm #feature model #problem #set

The Problem of Fragile Feature Subset Preference in Feature Selection Methods and a Proposal of Algorithmic Workaround (PS, JG, PP), pp. 4396–4399.

KDD-2010-XiangYZCZYS #graph #recommendation

Temporal recommendation on graphs via long- and short-term preference fusion (LX, QY, SZ, LC, XZ, QY, JS), pp. 723–732.

KEOD-2010-ChatterjeeKRD #automation #classification #email #ontology #using

Automatic Email Classification using user Preference Ontology (NC, SK, SR, VD), pp. 165–170.

KR-2010-BienvenuLW #logic

From Preference Logics to Preference Languages, and Back (MB, JL, NW).

KR-2010-BrafmanRSVW #constraints #information management #representation

Finding the Next Solution in Constraint- and Preference-Based Knowledge Representation Formalisms (RIB, FR, DS, KBV, TW).

KR-2010-SanthanamBH #performance #testing

Efficient Dominance Testing for Unconditional Preferences (GRS, SB, VH).

RecSys-2010-DesarkarSM #collaboration #graph #predict #rating

Aggregating preference graphs for collaborative rating prediction (MSD, SS, PM), pp. 21–28.

RecSys-2010-MarxHM #algorithm #comprehension #hybrid #recommendation

Increasing consumers’ understanding of recommender results: a preference-based hybrid algorithm with strong explanatory power (PM, THT, AM), pp. 297–300.

SIGIR-2010-SandersonPCK #evaluation #metric #question

Do user preferences and evaluation measures line up? (MS, MLP, PDC, EK), pp. 555–562.

RE-2010-JuretaBEM #consistency #generative #modelling #named #nondeterminism #requirements #towards

Techne: Towards a New Generation of Requirements Modeling Languages with Goals, Preferences, and Inconsistency Handling (IJ, AB, NAE, JM), pp. 115–124.

RE-2010-LiaskosMSM #modelling #requirements

Integrating Preferences into Goal Models for Requirements Engineering (SL, SAM, SS, JM), pp. 135–144.

SAC-2010-SuYT #music #novel #recommendation

A novel music recommender by discovering preferable perceptual-patterns from music pieces (JHS, HHY, VST), pp. 1924–1928.

SAC-2010-SykesHMK #adaptation #architecture #non-functional #self

Exploiting non-functional preferences in architectural adaptation for self-managed systems (DS, WH, JM, JK), pp. 431–438.

CC-2010-BraunMH

Preference-Guided Register Assignment (MB, CM, SH), pp. 205–223.

ASE-2009-LiaskosMM #modelling #requirements #towards

Towards Augmenting Requirements Models with Preferences (SL, SAM, JM), pp. 565–569.

DocEng-2009-Hofer-Alfeis #documentation #information management

Document engineering: a preferred partner discipline in knowledge management (JHA), pp. 1–2.

ICDAR-2009-ParakhinH #probability #ranking

Finding the Most Probable Ranking of Objects with Probabilistic Pairwise Preferences (MP, PMH), pp. 616–620.

VLDB-2009-UMM #algorithm #multi #query

A Fair Assignment Algorithm for Multiple Preference Queries (LHU, NM, KM), pp. 1054–1065.

WRLA-2008-HolzlMW09 #constraints #question

Which Soft Constraints do you Prefer? (MMH, MM, MW), pp. 189–205.

ICSM-2009-YoonSMP #component #testing

Prioritizing component compatibility tests via user preferences (ICY, AS, AMM, AAP), pp. 29–38.

CHI-2009-BrushMSV

Exploring awareness needs and information display preferences between coworkers (AJBB, BM, JS, GV), pp. 2091–2094.

CHI-2009-GarzonisJJO #mobile

Auditory icon and earcon mobile service notifications: intuitiveness, learnability, memorability and preference (SG, SLJ, TJ, EO), pp. 1513–1522.

CHI-2009-HackerA #elicitation #game studies #named #online

Matchin: eliciting user preferences with an online game (SH, LvA), pp. 1207–1216.

HCD-2009-JeongPS #interface #smarttech

Grouping Preferences of Americans and Koreans in Interfaces for Smart Home Control (KAJ, RWP, GS), pp. 436–445.

HCI-AUII-2009-ImamuraOK #analysis #behaviour #modelling #ubiquitous

Modeling Personal Preferences on Commodities by Behavior Log Analysis with Ubiquitous Sensing (NI, AO, TK), pp. 294–303.

HCI-NT-2009-TaslimAB #design #user interface

Investigating Children Preferences of a User Interface Design (JT, WAWA, NAAB), pp. 510–513.

HCI-VAD-2009-AlsumaitAA #online

Arab Children’s Reading Preference for Different Online Fonts (AA, AAO, HA), pp. 3–11.

IDGD-2009-EuneL #behaviour #difference #mobile

Cultural Dimensions in User Preferences and Behaviors of Mobile Phones and Interpretation of National Cultural Differences (JE, KPL), pp. 29–38.

CAiSE-2009-MaLXZY #modelling

Preference Model Driven Services Selection (WM, LL, HX, HZ, JY), pp. 216–230.

ICEIS-DISI-2009-GorawskiD #algorithm #distributed #execution #performance #query

Algorithms for Efficient Top-K Spatial Preference Query Execution in a Heterogeneous Distributed Environment (MG, KD), pp. 43–48.

ICEIS-DISI-2009-TapucuAJU #database #ontology

An Extension of Ontology based Databases to Handle Preferences (DT, YAA, SJ, MOÜ), pp. 208–213.

ICEIS-J-2009-ChoB #query #retrieval #xml

Relaxing XML Preference Queries for Cooperative Retrieval (SC, WTB), pp. 160–171.

CIKM-2009-LiuLW #order

Post-rank reordering: resolving preference misalignments between search engines and end users (CL, ML, YMW), pp. 641–650.

CIKM-2009-LiuZY #analysis #collaboration #probability

Probabilistic latent preference analysis for collaborative filtering (NNL, MZ, QY), pp. 759–766.

CIKM-2009-ZhangXSYD #evaluation #learning #named

ROSE: retail outlet site evaluation by learning with both sample and feature preference (BZ, MX, JYS, WJY, JD), pp. 1397–1404.

ECIR-2009-TsagkiasLR #predict

Exploiting Surface Features for the Prediction of Podcast Preference (MT, ML, MdR), pp. 473–484.

KDIR-2009-FujimotoHM #modelling #visualisation

Item-user Preference Mapping with Mixture Models — Data Visualization for Item Preference (YF, HH, NM), pp. 105–111.

RecSys-2009-BaskinK #recommendation

Preference aggregation in group recommender systems for committee decision-making (JPB, SK), pp. 337–340.

RecSys-2009-BoutilierRV #elicitation

Preference elicitation with subjective features (CB, KR, PV), pp. 341–344.

RecSys-2009-KnijnenburgW #adaptation #comprehension #elicitation #recommendation #user satisfaction

Understanding the effect of adaptive preference elicitation methods on user satisfaction of a recommender system (BPK, MCW), pp. 381–384.

RecSys-2009-ParkC #recommendation

Pairwise preference regression for cold-start recommendation (STP, WC), pp. 21–28.

SEKE-2009-DAgostiniF #semantics

Capturing Users’ Preferences and Intentions in a Semantic Search System (CSD, RF), pp. 587–591.

SIGIR-2009-ChangDLZ #ranking #topic

Enhancing topical ranking with preferences from click-through data (YC, AD, CL, ZZ), pp. 666–667.

PADL-2009-PereiraDL #abduction #modelling #on the

On Preferring and Inspecting Abductive Models (LMP, PD, GL), pp. 1–15.

SAC-2009-AmoR #named #query

CPref-SQL: a query language supporting conditional preferences (SdA, MRR), pp. 1573–1577.

SAC-2009-BoscPS #query

Stratified division queries involving ordinal user preferences (PB, OP, OS), pp. 1748–1749.

SAC-2009-ChoB #performance #query #xml

Building an efficient preference XML query processor (SC, WTB), pp. 1585–1586.

SAC-2009-MetivierBL

Softening Gcc and Regular with preferences (JPM, PB, SL), pp. 1392–1396.

SAC-2009-XieLY #elicitation #optimisation #process #requirements

i*-prefer: optimizing requirements elicitation process based on actor preferences (HX, LL, JY), pp. 347–354.

SIGMOD-2008-MishraK #query

Stretch’n’shrink: resizing queries to user preferences (CM, NK), pp. 1227–1230.

VLDB-2008-WongFPHWL #performance #query

Efficient skyline querying with variable user preferences on nominal attributes (RCWW, AWCF, JP, YSH, TW, YL), pp. 1032–1043.

CHI-2008-EverettGBWDST #performance

Electronic voting machines versus traditional methods: improved preference, similar performance (SPE, KKG, MDB, DSW, KD, DS, TT), pp. 883–892.

CAiSE-2008-KinderenG #reasoning

Reasoning about Substitute Choices and Preference Ordering in e-Services (SdK, JG), pp. 390–404.

ICEIS-AIDSS-2008-RokachMS #elicitation #recommendation

Anytime AHP Method for Preferences Elicitation in Stereotype-Based Recommender System (LR, AM, AS), pp. 268–275.

ICEIS-HCI-2008-MuranoEH #effectiveness #feedback #user interface

Effectiveness and Preferences of Anthropomorphic User Interface Feedback in a PC Building Context and Cognitive Load (PM, CE, POH), pp. 181–188.

CIKM-2008-CarvalhoECC #ranking

Suppressing outliers in pairwise preference ranking (VRC, JLE, WWC, JGC), pp. 1487–1488.

CIKM-2008-SunLCLG #library

Measuring user preference changes in digital libraries (YS, HL, IGC, WCL, CLG), pp. 1497–1498.

ICML-2008-YamanWLd #approximate #modelling

Democratic approximation of lexicographic preference models (FY, TJW, MLL, Md), pp. 1200–1207.

KDD-2008-JiangPLCH #mining

Mining preferences from superior and inferior examples (BJ, JP, XL, DWC, JH), pp. 390–398.

KR-2008-AmgoudDM

Making Decisions through Preference-Based Argumentation (LA, YD, PM), pp. 113–123.

KR-2008-Brafman

Preferences, Planning and Control (RIB), pp. 2–5.

KR-2008-Brafman08a #relational

Relational Preference Rules for Control (RIB), pp. 552–559.

KR-2008-CasaliGS #framework #logic

A Logical Framework to Represent and Reason about Graded Preferences and Intentions (AC, LG, CS), pp. 27–37.

KR-2008-DohertyS #reasoning #using

Reasoning with Qualitative Preferences and Cardinalities using Generalized Circumscription (PD, AS), pp. 560–570.

KR-2008-PiniRVW #nondeterminism

Dealing with Incomplete Agents’ Preferences and an Uncertain Agenda in Group Decision Making via Sequential Majority Voting (MSP, FR, KBV, TW), pp. 571–578.

KR-2008-UckelmanE #modelling

Preference Modeling by Weighted Goals with Max Aggregation (JU, UE), pp. 579–588.

SIGIR-2008-CarteretteB #evaluation #metric

Evaluation measures for preference judgments (BC, PNB), pp. 685–686.

SIGIR-2008-WuST

User preference choices for complex question answering (MW, FS, AT), pp. 717–718.

SAC-2008-BodorikJW #consistency #privacy #semantics

Consistent privacy preferences (CPP): model, semantics, and properties (PB, DNJ, MXW), pp. 2368–2375.

SAC-2008-DoringPE #e-commerce #query

Advanced preference query processing for e-commerce (SD, TP, ME), pp. 1457–1462.

CASE-2007-LinF #multi #smarttech

Multi-user Preference Model and Service Provision in a Smart Home Environment (ZHL, LCF), pp. 759–764.

ICDAR-2007-HaleB #documentation #image #modelling

Human Image Preference and Document Degradation Models (CH, EHBS), pp. 257–261.

SIGMOD-2007-ChenL #navigation

Addressing diverse user preferences in SQL-query-result navigation (ZC, TL), pp. 641–652.

VLDB-2007-NambiarGM #elicitation #named

CallAssist: Helping Call Center Agents in Preference Elicitation (UN, HG, MKM), pp. 1338–1341.

HCI-AS-2007-ChuL #internet #online #towards

The Experiential Preferences of the Online Consumers in Different Internet Shopping Lifestyles Towards Online Shopping Websites (YC, JJL), pp. 3–11.

HCI-AS-2007-HosonoGIT #analysis

ATM Advertisement and Financial Preferences with Sensory Analysis (NH, SG, HI, YT), pp. 42–47.

HCI-AS-2007-LiuKL #approach #learning

Breaking the Traditional E-Learning Mould: Support for the Learning Preference Approach (FL, JK, LL), pp. 294–301.

HCI-MIE-2007-Hashimi #interactive

Preferences and Patterns of Paralinguistic Voice Input to Interactive Media (SAH), pp. 3–12.

HIMI-IIE-2007-ProctorVA #privacy #specification #usability

Usability of User Agents for Privacy-Preference Specification (RWP, KPLV, MAA), pp. 766–776.

HIMI-MTT-2007-OkaMS #information management

An Information Filtering Method Based on User’s Moods, Situations, and Preferences (MO, HM, MS), pp. 715–719.

HIMI-MTT-2007-ParkB07a #design #mobile #user interface

An Experimental Examination of Customer Preferences on User Interface Design of Mobile Services (HP, SB), pp. 171–179.

ICEIS-DISI-2007-GrecoMP #database #query

Preference rules in database querying (SG, CM, FP), pp. 119–124.

RecSys-2007-ChenP #evaluation #hybrid #recommendation

The evaluation of a hybrid critiquing system with preference-based recommendations organization (LC, PP), pp. 169–172.

RecSys-2007-GadanhoL #nondeterminism

Addressing uncertainty in implicit preferences (SCG, NL), pp. 97–104.

ICLP-2007-Brewka #set

Preferences, Contexts and Answer Sets (GB), p. 22.

CHI-2006-BrzozowskiCKMHN #named #scheduling

groupTime: preference based group scheduling (MB, KC, SRK, PM, JH, AYN), pp. 1047–1056.

CHI-2006-WigdorSFB #performance

Effects of display position and control space orientation on user preference and performance (DW, CS, CF, RB), pp. 309–318.

CSCW-2006-KhalilC #privacy

Context-aware telephony: privacy preferences and sharing patterns (AK, KC), pp. 469–478.

ICML-2006-desJardinsEW #learning #set

Learning user preferences for sets of objects (Md, EE, KW), pp. 273–280.

KR-2006-BienvenuFM

Planning with Qualitative Temporal Preferences (MB, CF, SAM), pp. 134–144.

KR-2006-ChevaleyreEL #modelling #power of

Expressive Power of Weighted Propositional Formulas for Cardinal Preference Modeling (YC, UE, JL), pp. 145–152.

KR-2006-FritzM

Decision-Theoretic GOLOG with Qualitative Preferences (CF, SAM), pp. 153–163.

KR-2006-LukasiewiczS #logic

Variable-Strength Conditional Preferences for Matchmaking in Description Logics (TL, JS), pp. 164–174.

SIGIR-2006-AgichteinBDR #interactive #learning #modelling #predict #web

Learning user interaction models for predicting web search result preferences (EA, EB, STD, RR), pp. 3–10.

SIGIR-2006-CarteretteP #learning #ranking

Learning a ranking from pairwise preferences (BC, DP), pp. 629–630.

SIGIR-2006-LarsenTM #documentation #retrieval #xml

Is XML retrieval meaningful to users?: searcher preferences for full documents vs. elements (BL, AT, SM), pp. 663–664.

SAC-2006-KramerMH #case study #elicitation #mobile #using

Field study on methods for elicitation of preferences using a mobile digital assistant for a dynamic tour guide (RK, MM, KtH), pp. 997–1001.

SAC-2006-YoussefAA #mobile #privacy #semantics

Semantically enhanced enforcement of mobile consumer’s privacy preferences (MY, NRA, VA), pp. 1172–1176.

HT-2005-LutkenhouseNB #community #distributed #realtime

Distributed, real-time computation of community preferences (TL, MLN, JB), pp. 88–97.

ICEIS-v4-2005-OnoMK #evaluation #online

Evaluation of Methods for Converting Request for Quotation Data into Ordinal Preference Data: Estimating Product Preference in Online Shopping System (TO, HM, NK), pp. 24–31.

ICEIS-v5-2005-Murano #effectiveness #feedback #user interface #why

Why Anthropomorphic User Interface Feedback can be Effective and Preferred by Users (PM), pp. 12–19.

CIKM-2005-FengAAS #query #ranking #scalability

Scalable ranking for preference queries (YF, DA, AEA, AKS), pp. 313–314.

ICML-2005-ChuG #learning #process

Preference learning with Gaussian processes (WC, ZG), pp. 137–144.

ICML-2005-NatarajanT #learning #multi

Dynamic preferences in multi-criteria reinforcement learning (SN, PT), pp. 601–608.

MLDM-2005-LegrandN #feature model #using

Feature Selection Method Using Preferences Aggregation (GL, NN), pp. 203–217.

PPDP-2005-GuoJGL #optimisation

Optimization with mode-directed preferences (HFG, BJ, GG, ML), pp. 242–251.

SAC-2005-GuoJ #logic programming #source code

Mode-directed preferences for logic programs (HFG, BJ), pp. 1414–1418.

ICLP-2005-Rossi #reasoning

Preference Reasoning (FR), pp. 5–8.

ICEIS-v3-2004-CechichP #component #functional #off the shelf

Balancing Stakeholder’s Preferences on Measuring COTS Component Functional Suitability (AC, MP), pp. 115–122.

ICML-2004-BahamondeBDQLCAG #case study #learning #set

Feature subset selection for learning preferences: a case study (AB, GFB, JD, JRQ, OL, JJdC, JA, FG).

ICPR-v2-2004-BouchaffraT #concept #design #mining

Introduction to the Concept of Structural HMM: Application to Mining Customers’ Preferences in Automotive Design (DB, JT), pp. 493–496.

KR-2004-Brewka #optimisation #set

Complex Preferences for Answer Set Optimization (GB), pp. 213–223.

KR-2004-Coste-MarquisLLM #representation

Expressive Power and Succinctness of Propositional Languages for Preference Representation (SCM, JL, PL, PM), pp. 203–212.

KR-2004-DelgrandeST #reasoning

Domain-Specific Preferences for Causal Reasoning and Planning (JPD, TS, HT), pp. 673–682.

KR-2004-Lang

A Preference-Based Interpretation of Other Agents’ Actions (JL), pp. 644–653.

KR-2004-MeyerFKZ #logic

Logical Foundations of Negotiation: Strategies and Preferences (TAM, NYF, RK, DZ), pp. 311–318.

RE-2004-KaiyaOK #case study #diagrams #identification

Identifying Stakeholders and Their Preferences about NFR by Comparing Use Case Diagrams of Several Existing Systems (HK, AO, KK), pp. 112–121.

SAC-2004-MorgeB #multi

A Negotiation Support System based on a Multi-agent System: specificity and preference relations on arguments (MM, PB), pp. 474–478.

ICLP-2004-NieuwenborghHV #multi #on the #order #source code

On Programs with Linearly Ordered Multiple Preferences (DVN, SH, DV), pp. 180–194.

CIKM-2003-JinSZC #collaboration #modelling

Collaborative filtering with decoupled models for preferences and ratings (RJ, LS, CZ, JPC), pp. 309–316.

RE-2003-HuiLM #analysis #framework #requirements

Requirements Analysis for Customizable Software Goals-Skills-Preferences Framework (BH, SL, JM), pp. 117–126.

ICLP-2003-SonP #set

Adding Preferences to Answer Set Planning (TCS, EP), pp. 513–514.

VLDB-2002-Kiessling #database

Foundations of Preferences in Database Systems (WK), pp. 311–322.

VLDB-2002-KiesslingK #case study #design #experience #implementation #sql

Preference SQL — Design, Implementation, Experiences (WK, GK), pp. 990–1001.

PLDI-2002-KosekiKN #graph

Preference-Directed Graph Coloring (AK, HK, TN), pp. 33–44.

CHI-2002-TerveenMAH #specification

Specifying preferences based on user history (LGT, JM, BA, WCH), pp. 315–322.

ICEIS-2002-RuizEGG

A System Based on Preferences for Aid to the Purchase Decision (ILR, ELE, GCG, MÁGN), pp. 1058–1063.

ICML-2002-ShapiroL #learning #using

Separating Skills from Preference: Using Learning to Program by Reward (DGS, PL), pp. 570–577.

ICPR-v2-2002-ChiuLY #learning #personalisation

Learning User Preference in a Personalized CBIR Systeml (CYC, HCL, SNY), p. 532–?.

KR-2002-BernferhatDKP #framework #logic #representation

Bipolar Representation and Fusion of Preferences on the Possibilistic Logic framework (SB, DD, SK, HP), pp. 421–448.

KR-2002-Cristani

Many-Sorted Preference Relations (MC), pp. 265–276.

KR-2002-Lang #combinator #representation

From Preference Representation to Combinatorial Vote (JL), pp. 277–290.

RE-2002-GiesenV #requirements

Requirements Interdependencies and Stakeholders Preferences (JG, AV), pp. 206–212.

CHI-2001-Baldis #comprehension #memory management

Effects of spatial audio on memory, comprehension, and preference during desktop conferences (JJB), pp. 166–173.

ICEIS-v1-2001-WongC #optimisation #scheduling

Optimizing User Preferences While Scheduling Meetings (RYMW, AHWC), pp. 459–465.

SIGIR-2001-KellyB #feedback #interactive

Reading Time, Scrolling and Interaction: Exploring Implicit Sources of User Preferences for Relevant Feedback (DK, NJB), pp. 408–409.

SIGIR-2001-LeeS #clustering #image #learning #retrieval #using

Intelligent Object-based Image Retrieval Using Cluster-driven Personal Preference Learning (KML, WNS), pp. 436–437.

ICLP-2001-KumarRS #equation #fixpoint #modelling

Alternating Fixed Points in Boolean Equation Systems as Preferred Stable Models (KNK, CRR, SAS), pp. 227–241.

IJCAR-2001-DoutreM #framework #query

Preferred Extensions of Argumentation Frameworks: Query Answering and Computation (SD, JM), pp. 272–288.

SIGMOD-2000-AgrawalW #framework

A Framework for Expressing and Combining Preferences (RA, ELW), pp. 297–306.

ITiCSE-2000-Scanlan #multi #student

Student preference for multimedia-based lectures (poster session): a preliminary report (DAS), p. 192.

CSCW-2000-McCarthyA #collaboration #named

MUSICFX: an arbiter of group preferences for computer supported collaborative workouts (JFM, TDA), p. 348.

KR-2000-DimopoulosNT

Finding Admissible and Preferred Arguments Can be Very Hard (YD, BN, FT), pp. 53–61.

KR-2000-LafageL #logic #representation

Logical representation of preferences for group decision making (CL, JL), pp. 457–468.

HCI-CCAD-1999-Womser-HackerM #adaptation #documentation #information retrieval

Adapting meta information retrieval to user preferences and document features (CWH, TM), pp. 604–608.

HCI-EI-1999-HsuW #comparison

The Comparison of Preferred Settings between PC and CAD Workstation (WHH, MJW), pp. 36–40.

HCI-EI-1999-PrabhuH #design #question #user interface #validation

GUI Design Preference Validation for Japan and China — A Case for KANSEI Engineering? (GVP, DH), pp. 521–525.

HCI-EI-1999-TakahashiKMFK #adaptation #design #interface

Design of Interface for Operational Support of an Experimental Accelerator with adaptability to User Preference and Skill Level (MT, YK, SM, MF, MK), pp. 251–255.

CSCW-1998-McCarthyA #collaboration #named

MusicFX: An Arbiter of Group Preferences for Computer Aupported Collaborative Workouts (JFM, TDA), pp. 363–372.

ICML-1998-FreundISS #algorithm #performance

An Efficient Boosting Algorithm for Combining Preferences (YF, RDI, RES, YS), pp. 170–178.

KR-1998-BrewkaE #logic programming #set #source code

Preferred Answer Sets for Extended Logic Programs (GB, TE), pp. 86–97.

HCI-CC-1997-Komatsubara

Psychological Upper and Lower Limits of System Response Time and User’s Preference on Skill Level (AK), pp. 829–832.

HCI-SEC-1997-Mizuno #analysis

Conjoint Analysis of Consumer Preferences in Cyber Space (MM), pp. 475–478.

HCI-SEC-1997-SanuiM #evaluation #grid

Revealing of Preference Structure by the Evaluation Grid Method (JS, GM), pp. 471–474.

HCI-SEC-1997-Ujigawa #concept #design #framework

The Conceptual Framework of Preference-Based Design (MU), pp. 467–470.

ILPS-1997-EngelfrietH #modelling

Generated Preferred Models and Extensions of Nonmonotonic Systems (JE, HH), pp. 85–99.

CHI-1996-LevyZTS #perspective

Gratuitous Graphics? Putting Preferences in Perspective (EL, JZ, BT, DJS), pp. 42–49.

ICLP-1995-GovindarajanJM #logic programming

Preference Logic Programming (KG, BJ, SM), pp. 731–745.

VLDB-1994-GaasterlandL

Qualified Answers That Reflect User Needs and Preferences (TG, JL), pp. 309–320.

CHI-1994-NardiJ94a

User preferences for task-specific vs. generic application software (BAN, JAJ), pp. 392–398.

KR-1994-TanP #evaluation #nondeterminism #specification

Specification and Evaluation of Preferences Under Uncertainty (SWT, JP), pp. 530–539.

PLILP-1994-FagesFS #constraints #logic programming #optimisation #relational

Handling Preferences in Constraint Logic Programming with Relational Optimization (FF, JF, TS), pp. 261–276.

HCI-SHI-1993-DouglasH #design #performance

Evaluating Performance, Discomfort, and Subjective Preference between Computer Keyboard Designs (SDD, AJH), pp. 1064–1069.

INTERCHI-1993-KabbashMB #performance #using

Human performance using computer input devices in the preferred and non-preferred hands (PK, ISM, WB), pp. 474–481.

KR-1992-QuantzR #logic #semantics

A Preference Semantics for Defaults in Terminological Logics (JQ, VR), pp. 294–305.

SIGIR-1991-YaoW #retrieval

Preference Structure, Inference and Set-Oriented Retrieval (YY, SKMW), pp. 211–218.

CHI-1989-Hendrickson #design #interface #performance #visual notation

Performance, preference, and visual scan patterns on a menu-based system: implications for interface design (JJH), pp. 217–222.

KR-1989-DoyleW

Impediments to Universal Preference-Based Default Theories (JD, MPW), pp. 94–102.

ML-1989-Morris #learning

Reducing Search and Learning Goal Preferences (SM), pp. 46–48.

ML-1989-ZhangM #learning

A Description of Preference Criterion in Constructive Learning: A Discussion of Basis Issues (JZ, RSM), pp. 17–19.

VLDB-1987-LacroixL #query

Preferences; Putting More Knowledge into Queries (ML, PL), pp. 217–225.