Search results for "recommender"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
81	Philip Bonhard, Clare Harries, John D. McCarthy, Martina Angela Sasse	Accounting for taste: using profile similarity to improve recommender systems.	CHI	2006	DBLP DOI BibTeX RDF	online advice-seeking, social recommender systems, social networking, recommender systems, decision-making
77	Rong Hu, Pearl Pu	Acceptance issues of personality-based recommender systems.	RecSys	2009	DBLP DOI BibTeX RDF	personality quiz, personality-based recommender, rating-based recommender, recommender systems, user study, technology acceptance model
74	Sean M. McNee, John Riedl, Joseph A. Konstan	Making recommendations better: an analytic model for human-recommender interaction.	CHI Extended Abstracts	2006	DBLP DOI BibTeX RDF	human-recommender interaction, recommender systems, personalization, collaborative filtering, user-centered design, information seeking
71	M. Benjamin Dias, Dominique Locher, Ming Li 0014, Wael El-Deredy, Paulo J. G. Lisboa	The value of personalised recommender systems to e-business: a case study.	RecSys	2008	DBLP DOI BibTeX RDF	business value creation, performance evaluation, recommender systems, e-commerce, case study, personalisation
71	Saverio Perugini, Marcos André Gonçalves, Edward A. Fox	Recommender Systems Research: A Connection-Centric Survey.	J. Intell. Inf. Syst.	2004	DBLP DOI BibTeX RDF	social networks, recommender systems, user modeling, recommendation, small-worlds
63	Hao Ma 0001, Michael R. Lyu, Irwin King	Learning to recommend with trust and distrust relationships.	RecSys	2009	DBLP DOI BibTeX RDF	social network, trust, recommender systems, matrix factorization, distrust
63	Nikos Manouselis, Constantina I. Costopoulou	Analysis and Classification of Multi-Criteria Recommender Systems.	World Wide Web	2007	DBLP DOI BibTeX RDF	Multi-Criteria Decision Making (MCDM), classification, recommender systems
62	Gediminas Adomavicius, Ramesh Sankaranarayanan, Shahana Sen, Alexander Tuzhilin	Incorporating contextual information in recommender systems using a multidimensional approach.	ACM Trans. Inf. Syst.	2005	DBLP DOI BibTeX RDF	context-aware recommender systems, multidimensional data models, multidimensional recommender systems, Recommender systems, personalization, collaborative filtering, rating estimation
56	Jennifer Golbeck	Tutorial on using social trust for recommender systems.	RecSys	2009	DBLP DOI BibTeX RDF	social networks, trust, recommender systems
56	Linas Baltrunas	Exploiting contextual information in recommender systems.	RecSys	2008	DBLP DOI BibTeX RDF	recommender systems, context
56	Erich Christian Teppan	Implications of psychological phenomenons for recommender systems.	RecSys	2008	DBLP DOI BibTeX RDF	decoy effects, serial position effects, recommender systems, model-based diagnosis
56	Paul Resnick, Rahul Sami	The information cost of manipulation-resistance in recommender systems.	RecSys	2008	DBLP DOI BibTeX RDF	manipulation-resistance, recommender systems, information loss, shilling
56	Henriette S. M. Cramer, Vanessa Evers, Satyan Ramlal, Maarten van Someren, Lloyd Rutledge, Natalia Stash, Lora Aroyo, Bob J. Wielinga	The effects of transparency on trust in and acceptance of a content-based art recommender.	User Model. User Adapt. Interact.	2008	DBLP DOI BibTeX RDF	Human-computer interaction, Trust, Recommender systems, Transparency, Cultural heritage, Acceptance, User-adaptivity
56	Mark van Setten, Sean M. McNee, Joseph A. Konstan	Beyond personalization: the next stage of recommender systems research.	IUI	2005	DBLP DOI BibTeX RDF	ersonalization, recommender systems
55	Hao Ma 0001, Irwin King, Michael R. Lyu	Learning to recommend with social trust ensemble.	SIGIR	2009	DBLP DOI BibTeX RDF	social trust ensemble, social network, recommender systems, matrix factorization
53	Li-Tung Weng, Yue Xu 0001, Yuefeng Li, Richi Nayak	Distributed Recommender Profiling and Selection with Gittins Indices.	Web Intelligence	2006	DBLP DOI BibTeX RDF
53	Andreas Geyer-Schulz, Michael Hahsler	Comparing Two Recommender Algorithms with the Help of Recommendations by Peers.	WEBKDD	2002	DBLP DOI BibTeX RDF
52	Taek-Hun Kim, Sung-Bong Yang	Using Attributes to Improve Prediction Quality in Collaborative Filtering.	EC-Web	2004	DBLP DOI BibTeX RDF
52	Vinod Krishnan, Pradeep Kumar Narayanashetty, Mukesh Nathan, Richard T. Davies, Joseph A. Konstan	Who predicts better?: results from an online study comparing humans and an online recommender system.	RecSys	2008	DBLP DOI BibTeX RDF	human recommenders, mae, movielens, recommender evaluation, recommender systems, predictions
51	Esma Aïmeur, Gilles Brassard, José M. Fernandez 0001, Flavien Serge Mani Onana, Zbigniew Rakowski	Experimental Demonstration of a Hybrid Privacy-Preserving Recommender System.	ARES	2008	DBLP DOI BibTeX RDF	recommender systems, privacy protection, hybrid recommender systems
49	Ajith Kodakateri Pudhiyaveetil, Susan Gauch, Hiep Phuc Luong, Josh Eno	Conceptual recommender system for CiteSeerX.	RecSys	2009	DBLP DOI BibTeX RDF	CiteSeerX, conceptual recommendation, information retrieval, recommender system
49	Carlos Castro-Herrera, Jane Cleland-Huang, Bamshad Mobasher	A recommender system for dynamically evolving online forums.	RecSys	2009	DBLP DOI BibTeX RDF	clustering, threads, requirements elicitation, online forums, posts, collaborative recommender systems
49	Paolo Viappiani, Craig Boutilier	Regret-based optimal recommendation sets in conversational recommender systems.	RecSys	2009	DBLP DOI BibTeX RDF	minimax regret, recommender systems, preference elicitation, critiquing
49	Panagiotis Symeonidis, Alexandros Nanopoulos, Yannis Manolopoulos	MoviExplain: a recommender system with explanations.	RecSys	2009	DBLP DOI BibTeX RDF	recommender systems, explanations
49	Juan A. Recio-García, Belén Díaz-Agudo, Pedro A. González-Calero	Prototyping recommender systems in jcolibri.	RecSys	2008	DBLP DOI BibTeX RDF	template based design, recommender systems, case based reasoning
49	Tavi Nathanson, Ephrat Bitton, Kenneth Y. Goldberg	Eigentaste 5.0: constant-time adaptability in a recommender system using item clustering.	RecSys	2007	DBLP DOI BibTeX RDF	adaptability, recommender systems, collaborative filtering
48	Li Chen 0009, Pearl Pu	Interaction design guidelines on critiquing-based recommender systems.	User Model. User Adapt. Interact.	2009	DBLP DOI BibTeX RDF	Critiquing-based recommender systems, Preference revision, Example critiquing, Dynamic critiquing, Hybrid critiquing, Human-computer interaction, Usability, Decision support, User evaluation, User control
48	Takanobu Nakahara, Hiroyuki Morita	Recommender System for Music CDs Using a Graph Partitioning Method.	KES (2)	2009	DBLP DOI BibTeX RDF	Data mining, Recommender system, Collaborative filtering, Graph-partitioning, Binary Data
48	Ioannis Arapakis, Yashar Moshfeghi, Hideo Joho, Reede Ren, David Hannah, Joemon M. Jose	Enriching user profiling with affective features for the improvement of a multimodal recommender system.	CIVR	2009	DBLP DOI BibTeX RDF	affective feedback, recommender systems, user profiling, multimedia retrieval, facial expression analysis
48	Tariq Mahmood, Francesco Ricci 0001, Adriano Venturini, Wolfram Höpken	Adaptive Recommender Systems for Travel Planning.	ENTER	2008	DBLP DOI BibTeX RDF	Information Presentation and Delivery, Reinforcement Learning, Markov Decision Process, Travel Planning, Conversational Recommender Systems
48	Fabian Bustos, Juan López, Vicente Julián, Miguel Rebollo	STRS: Social Network Based Recommender System for Tourism Enhanced with Trust.	DCAI	2008	DBLP DOI BibTeX RDF	Multi-agent Systems, Recommender Systems, Trust and Reputation
48	Tim Reichling, Michael Veith, Volker Wulf	Expert Recommender: Designing for a Network Organization.	Comput. Support. Cooperative Work.	2007	DBLP DOI BibTeX RDF	expert recommender system, case study, expertise sharing
48	Francesco Ricci 0001, Quang Nhat Nguyen	Acquiring and Revising Preferences in a Critique-Based Mobile Recommender System.	IEEE Intell. Syst.	2007	DBLP DOI BibTeX RDF	user study, user modeling, critiquing, mobile recommender systems
48	Andreas W. Neumann	Motivating and Supporting User Interaction with Recommender Systems.	ECDL	2007	DBLP DOI BibTeX RDF	rating service, review service, Recommender system, mechanism design, incentive system
48	Dan Frankowski, Shyong K. Lam, Shilad Sen, F. Maxwell Harper, Scott Yilek, Michael Cassano, John Riedl	Recommenders everywhere: : the WikiLens community-maintained recommender system.	Int. Sym. Wikis	2007	DBLP DOI BibTeX RDF	community-maintained, member-maintained, recommender systems
48	Giancarlo Ruffo, Rossano Schifanella	Evaluating peer-to-peer recommender systems that exploit spontaneous affinities.	SAC	2007	DBLP DOI BibTeX RDF	complex and social networks, peer-to-peer, recommender system, file sharing systems
48	Alexander Felfernig, Gerhard Friedrich, Bartosz Gula, Martin Hitz, Thomas Kruggel, Gerhard Leitner, Rudolf Melcher, D. Riepan, S. Strauss, Erich Teppan, Oliver Vitouch	Persuasive Recommendation: Serial Position Effects in Knowledge-Based Recommender Systems.	PERSUASIVE	2007	DBLP DOI BibTeX RDF	interactive selling, recommender systems, persuasive technologies, knowledge-based recommendation, human memory
48	Daniel M. Fleder, Kartik Hosanagar	Recommender systems and their impact on sales diversity.	EC	2007	DBLP DOI BibTeX RDF	path dependence, simulation, recommender systems, collaborative filtering, electronic commerce, diversity, economics, business, concentration, long tail
48	Kyung Hyan Yoo, Ulrike Gretzel	Measuring the Credibility of Recommender Systems.	ENTER	2006	DBLP DOI BibTeX RDF	recommender systems, trustworthiness, credibility, expertise, scale development
48	Sean M. McNee, John Riedl, Joseph A. Konstan	Being accurate is not enough: how accuracy metrics have hurt recommender systems.	CHI Extended Abstracts	2006	DBLP DOI BibTeX RDF	recommender systems, personalization, metrics, collaborative filtering
48	Alan F. Smeaton, Jamie Callan	Personalisation and recommender systems in digital libraries.	Int. J. Digit. Libr.	2005	DBLP DOI BibTeX RDF	Recommender systems, Digital libraries, User interaction, Personalisation
48	Shyong K. Lam, John Riedl	Shilling recommender systems for fun and profit.	WWW	2004	DBLP DOI BibTeX RDF	recommender systems, collaborative filtering, shilling
48	Jordi Palau, Miquel Montaner, Beatriz López 0001, Josep Lluís de la Rosa	Collaboration Analysis in Recommender Systems Using Social Networks.	CIA	2004	DBLP DOI BibTeX RDF	Collaboration Analysis, Social Networks, Trust, Recommender Systems, Electronic Communities
48	Bradley N. Miller, István Albert, Shyong K. Lam, Joseph A. Konstan, John Riedl	MovieLens unplugged: experiences with an occasionally connected recommender system.	IUI	2003	DBLP DOI BibTeX RDF	user interface, recommender systems, mobile device, collaborative filtering
48	Raymond Y. K. Lau, Peter van den Brand	Belief Revision and Text Mining for Adaptive Recommender Agents.	ISMIS	2003	DBLP DOI BibTeX RDF	Text Mining, Belief Revision, Recommender Agents
48	Dan Cosley, Shyong K. Lam, István Albert, Joseph A. Konstan, John Riedl	Is seeing believing?: how recommender system interfaces affect users' opinions.	CHI	2003	DBLP DOI BibTeX RDF	recommender systems, e-commerce, collaborative filtering, conformity, persuasive computing
48	Stuart E. Middleton, Nigel R. Shadbolt, David De Roure	Capturing interest through inference and visualization: ontological user profiling in recommender systems.	K-CAP	2003	DBLP DOI BibTeX RDF	profile visualization, ontology, machine learning, recommender systems, user modelling, user profiling, knowledge capture
48	Al Mamunur Rashid, István Albert, Dan Cosley, Shyong K. Lam, Sean M. McNee, Joseph A. Konstan, John Riedl	Getting to know you: learning new user preferences in recommender systems.	IUI	2002	DBLP DOI BibTeX RDF	startup problem, recommender systems, collaborative filtering, user modeling, entropy, information filtering
48	Rashmi R. Sinha, Kirsten Swearingen	The role of transparency in recommender systems.	CHI Extended Abstracts	2002	DBLP DOI BibTeX RDF	WWW, recommender systems, usability studies
48	Li-Tung Weng, Yue Xu 0001, Yuefeng Li, Richi Nayak	An Efficient Neighbourhood Estimation Technique for Making Recommendations.	ICEIS	2008	DBLP DOI BibTeX RDF	Neighbourhood Formation, Taxonomic Information, Recommender System
48	Jinhyung Cho, Kwiseok Kwon, Yongtae Park	Collaborative Filtering Using Dual Information Sources.	IEEE Intell. Syst.	2007	DBLP DOI BibTeX RDF	group influence, recommender system, collaborative filtering, information source, e-learning content
47	Kyung Hyan Yoo, Ulrike Gretzel	Creating More Credible and Persuasive Recommender Systems: The Influence of Source Characteristics on Recommender System Evaluations.	Recommender Systems Handbook	2011	DBLP DOI BibTeX RDF
45	Ira Assent	Actively Building Private Recommender Networks for Evolving Reliable Relationships.	ICDE	2009	DBLP DOI BibTeX RDF
45	Li Yu 0002, Xiaoping Yang, Qian Li 0018	Recommender Oriented to Complicate Task in E-commerce.	ISECS	2008	DBLP DOI BibTeX RDF
45	Wolfgang Woerndl, Georg Groh	Utilizing Physical and Social Context to Improve Recommender Systems.	Web Intelligence/IAT Workshops	2007	DBLP DOI BibTeX RDF
45	Sung-Hwan Min, Ingoo Han	Recommender Systems Using Support Vector Machines.	ICWE	2005	DBLP DOI BibTeX RDF
43	Derek L. Hansen, Jennifer Golbeck	Mixing it up: recommending collections of items.	CHI	2009	DBLP DOI BibTeX RDF	automatic playlist generation, collection recommender systems, mix tape, recommender systems, collaborative filtering, music, collections, playlist
41	Giovanni Semeraro, Pasquale Lops, Pierpaolo Basile, Marco de Gemmis	Knowledge infusion into content-based recommender systems.	RecSys	2009	DBLP DOI BibTeX RDF	content-based recommender systems, open source knowledge, spreading activation
41	Fabrizio Antonelli, Gianluca Francini, Marina Geymonat, Skjalg Lepsøy	DynamicTV: a culture-aware recommender.	RecSys	2009	DBLP DOI BibTeX RDF	biased LSA, recommender systems
41	Francisco J. Martin	Recsys'09 industrial keynote: top 10 lessons learned developing deploying and operating real-world recommender systems.	RecSys	2009	DBLP DOI BibTeX RDF	recommender systems, real world applications, lessons learned
41	Don Conry, Yehuda Koren, Naren Ramakrishnan	Recommender systems for the conference paper assignment problem.	RecSys	2009	DBLP DOI BibTeX RDF	conference paper assignment, recommender systems, collaborative filtering, linear programming
41	Jill Freyne, Michal Jacovi, Ido Guy, Werner Geyer	Increasing engagement through early recommender intervention.	RecSys	2009	DBLP DOI BibTeX RDF	community, social networking, recommender systems, web 2.0, adoption, social software, participation
41	Kleanthi Lakiotaki, Stelios Tsafarakis, Nikolaos F. Matsatsinis	UTA-Rec: a recommender system based on multiple criteria analysis.	RecSys	2008	DBLP DOI BibTeX RDF	algorithm performance analysis, dissagregation-aggregation approach, recommender systems, multiple criteria analysis
41	Marco Degemmis, Pasquale Lops, Giovanni Semeraro, Pierpaolo Basile	Integrating tags in a semantic content-based recommender.	RecSys	2008	DBLP DOI BibTeX RDF	machine learning, recommender systems, word sense disambiguation, collaborative tagging
41	Kenneth Bryan, Michael P. O'Mahony, Padraig Cunningham	Unsupervised retrieval of attack profiles in collaborative recommender systems.	RecSys	2008	DBLP DOI BibTeX RDF	recommender system, attack detection, shilling
41	Olga C. Santos	A recommender system to provide adaptive and inclusive standard-based support along the elearning life cycle.	RecSys	2008	DBLP DOI BibTeX RDF	adaptive educational systems, inclusive support, recommender systems, personalization, accessibility, standards, lifelong learning
41	Li Chen 0009, Pearl Pu	A cross-cultural user evaluation of product recommender interfaces.	RecSys	2008	DBLP DOI BibTeX RDF	cross-cultural user study, list view, organization interface, product recommender systems
41	Jiyong Zhang, Pearl Pu	A recursive prediction algorithm for collaborative filtering recommender systems.	RecSys	2007	DBLP DOI BibTeX RDF	recommendation accuracy, recommender systems, collaborative filtering, prediction algorithm
41	Paul Resnick, Rahul Sami	The influence limiter: provably manipulation-resistant recommender systems.	RecSys	2007	DBLP DOI BibTeX RDF	manipulation-resistance, recommender system, shilling
41	Huanhuan Cao, Enhong Chen, Jie Yang 0004, Hui Xiong 0001	Enhancing recommender systems under volatile userinterest drifts.	CIKM	2009	DBLP DOI BibTeX RDF	interest drift, interest pattern, recommender system
41	Greg Dunn, Jurgen Wiersema, Jaap Ham, Lora Aroyo	Evaluating Interface Variants on Personality Acquisition for Recommender Systems.	UMAP	2009	DBLP DOI BibTeX RDF	information acquisition, Recommender systems, personality, adaptive systems, cold start
41	Geoffray Bonnin, Armelle Brun, Anne Boyer	A low-order markov model integrating long-distance histories for collaborative recommender systems.	IUI	2009	DBLP DOI BibTeX RDF	recommender systems, markov models, weighting schemes, skipping
41	Carlos Castro-Herrera, Chuan Duan, Jane Cleland-Huang, Bamshad Mobasher	A recommender system for requirements elicitation in large-scale software projects.	SAC	2009	DBLP DOI BibTeX RDF	large-scale software engineering, requirements clustering, collaborative recommender systems
41	Sven Laumer, Andreas Eckhardt	Help to find the needle in a haystack: integrating recommender systems in an IT supported staff recruitment system.	CPR	2009	DBLP DOI BibTeX RDF	it architecture, recommender systems, design science, e-recruiting
41	Manuela Ruiz-Montiel, José Francisco Aldana Montes	Semantically Enhanced Recommender Systems.	OTM Workshops	2009	DBLP DOI BibTeX RDF	Ontologies, recommender systems, user modelling, personalisation
41	Tim Reichling, Volker Wulf	Expert recommender systems in practice: evaluating semi-automatic profile generation.	CHI	2009	DBLP DOI BibTeX RDF	expertise recommender system, second wave, knowledge management
41	Umberto Panniello, Michele Gorgoglione, Cosimo Palmisano	Comparing Pre-filtering and Post-filtering Approach in a Collaborative Contextual Recommender System: An Application to E-Commerce.	EC-Web	2009	DBLP DOI BibTeX RDF	post-filtering, recommender system, e-commerce, context, collaborative filtering, pre-filtering
41	Reza Shokri, Pedram Pedarsani, George Theodorakopoulos 0001, Jean-Pierre Hubaux	Preserving privacy in collaborative filtering through distributed aggregation of offline profiles.	RecSys	2009	DBLP DOI BibTeX RDF	privacy-accuracy tradeoff, recommender systems
41	Benjamin M. Marlin, Richard S. Zemel	Collaborative prediction and ranking with non-random missing data.	RecSys	2009	DBLP DOI BibTeX RDF	non-random missing data, recommender systems, collaborative filtering, ranking, probabilistic models
41	Yi Zhen, Wu-Jun Li, Dit-Yan Yeung	TagiCoFi: tag informed collaborative filtering.	RecSys	2009	DBLP DOI BibTeX RDF	recommender systems, collaborative filtering, tag
41	Frank Edward Walter, Stefano Battiston, Frank Schweitzer	Personalised and dynamic trust in social networks.	RecSys	2009	DBLP DOI BibTeX RDF	social networks, trust, recommender systems, personalisation, information overload
41	Esma Aïmeur, Gilles Brassard, José M. Fernandez 0001, Flavien Serge Mani Onana	Alambic : a privacy-preserving recommender system for electronic commerce.	Int. J. Inf. Sec.	2008	DBLP DOI BibTeX RDF	Semi-trusted third party, Recommender system, Privacy protection, Web personalization, Secure two-party computation
41	Yan Zheng Wei, Nicholas R. Jennings, Luc Moreau 0001, Wendy Hall 0001	User evaluation of a market-based recommender system.	Auton. Agents Multi Agent Syst.	2008	DBLP DOI BibTeX RDF	Recommender systems, Auctions, User evaluation, Marketplace
41	Joseph A. Konstan	Introduction to recommender systems.	SIGMOD Conference	2008	DBLP DOI BibTeX RDF	recommender systems, collaborative filtering
41	Tejaswini Narayanan, Deborah L. McGuinness	Towards Leveraging Inference Web to Support Intuitive Explanations in Recommender Systems for Automated Career Counseling.	ACHI	2008	DBLP DOI BibTeX RDF	Explanation Generation, Automated Career Counseling, Semantic Web User Interfaces, Recommender Systems
41	Marco Degemmis, Pasquale Lops, Giovanni Semeraro	A content-collaborative recommender that exploits WordNet-based user profiles for neighborhood formation.	User Model. User Adapt. Interact.	2007	DBLP DOI BibTeX RDF	Hybrid recommenders, Neighborhood formation in recommender systems, Machine learning, Collaborative filtering, User modeling, WordNet, Content-based filtering
41	Silvana Vanesa Aciar, Debbie Zhang, Simeon J. Simoff, John K. Debenham	Informed Recommender: Basing Recommendations on Consumer Product Reviews.	IEEE Intell. Syst.	2007	DBLP DOI BibTeX RDF	reviews acquisition, ontology, recommender systems, text mining
41	Tariq Mahmood, Francesco Ricci 0001	Learning and adaptivity in interactive recommender systems.	ICEC	2007	DBLP DOI BibTeX RDF	adaptivity, reinforcement learning, markov decision process, conversational recommender systems
41	Richard Cissée, Sahin Albayrak	An agent-based approach for privacy-preserving recommender systems.	AAMAS	2007	DBLP DOI BibTeX RDF	privacy, trust, recommender systems, multiagent systems, information filtering
41	Sílvio César Cazella, Eliseo Berni Reategui, Luis Otávio Campos Alvares	E-commerce recommenders' authority: applying the user's opinion relevance in recommender systems.	WebMedia	2006	DBLP DOI BibTeX RDF	data mining, recommender system, E-commerce, user modeling
41	Ranieri Baraglia, Claudio Lucchese, Salvatore Orlando 0001, Massimo Serranó, Fabrizio Silvestri	A privacy preserving web recommender system.	SAC	2006	DBLP DOI BibTeX RDF	privacy preserving user modeling, web recommender systems
41	Jiyong Zhang, Pearl Pu	A Comparative Study of Compound Critique Generation in Conversational Recommender Systems.	AH	2006	DBLP DOI BibTeX RDF	interaction cycle, critiquing, compound critique, conversational recommender system, multi-attribute utility theory
41	Thomas T. Tran	Designing recommender systems for e-commerce: an integration approach.	ICEC	2006	DBLP DOI BibTeX RDF	collaborative filtering approach, recommender systems, e-commerce, knowledge-based approach
41	Andrew I. Schein, Alexandrin Popescul, Lyle H. Ungar, David M. Pennock	CROC: A New Evaluation Criterion for Recommender Systems.	Electron. Commer. Res.	2005	DBLP DOI BibTeX RDF	performance evaluation, recommender systems, collaborative filtering
41	Feng Zhang, Hui-You Chang	On a Hybrid Rule Based Recommender System.	CIT	2005	DBLP DOI BibTeX RDF	Sequential-rule Mining, Algorithm, Recommender System, E-commerce, Association-rule Mining
41	Stuart E. Middleton, Nigel Shadbolt, David De Roure	Ontological user profiling in recommender systems.	ACM Trans. Inf. Syst.	2004	DBLP DOI BibTeX RDF	ontology, machine learning, Agent, recommender systems, personalization, user modelling, user profiling
41	John Zimmerman, Kaushal Kurapati	Exposing profiles to build trust in a recommender.	CHI Extended Abstracts	2002	DBLP DOI BibTeX RDF	trust, profiling, user profile, interface design, recommender, persuasion, credibility, conversational agent, TV, captology, EPG, electronic program guide, persuasive computing
40	Ido Guy, Naama Zwerdling, Inbal Ronen, David Carmel, Erel Uziel	Social media recommendation based on people and tags.	SIGIR	2010	DBLP DOI BibTeX RDF	social networks, recommender systems, personalization, social media, social software, collaborative tagging
40	Shlomo Berkovsky, Tsvi Kuflik, Francesco Ricci 0001	Cross-representation mediation of user models.	User Model. User Adapt. Interact.	2009	DBLP DOI BibTeX RDF	Mediation of user models, Recommender systems, Collaborative filtering, User modeling, Content-based filtering
40	Gediminas Adomavicius, YoungOk Kwon	New Recommendation Techniques for Multicriteria Rating Systems.	IEEE Intell. Syst.	2007	DBLP DOI BibTeX RDF	multicriteria ratings, recommender systems, personalization, collaborative filtering, rating estimation