Hybrid Recommender Systems: Survey and Experiments

[1]  Jon Crowcroft,et al.  A survey and comparison of peer-to-peer overlay network schemes , 2005, IEEE Communications Surveys & Tutorials.

[2]  Fan Yang,et al.  A scalable P2P recommender system based on distributed collaborative filtering , 2004, Expert Syst. Appl..

[3]  Hector Garcia-Molina,et al.  Semantic Overlay Networks for P2P Systems , 2004, AP2PC.

[4]  Bradley N. Miller,et al.  PocketLens: Toward a personal recommender system , 2004, TOIS.

[5]  Anne-Marie Kermarrec,et al.  Exploiting semantic proximity in peer-to-peer content searching , 2004, Proceedings. 10th IEEE International Workshop on Future Trends of Distributed Computing Systems, 2004. FTDCS 2004..

[6]  Hiroyuki Morikawa,et al.  Vineyard: a collaborative filtering service platform in distributed environment , 2004, 2004 International Symposium on Applications and the Internet Workshops. 2004 Workshops..

[7]  Bruce M. Maggs,et al.  Efficient content location using interest-based locality in peer-to-peer systems , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[8]  John F. Canny,et al.  Collaborative filtering with privacy via factor analysis , 2002, SIGIR '02.

[9]  Ingrid Zukerman,et al.  # 2001 Kluwer Academic Publishers. Printed in the Netherlands. Predictive Statistical Models for User Modeling , 1999 .

[10]  A. Smeulders,et al.  Content-Based Image Retrieval at the End of the Early Years , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[11]  Barry Smyth,et al.  A personalized television listings service , 2000, CACM.

[12]  Mark Rosenstein,et al.  Recommending from content: preliminary results from an e-commerce experiment , 2000, CHI Extended Abstracts.

[13]  Jon Dron,et al.  CoFIND - An experiment in N-dimensional collaborative filtering , 2000, J. Netw. Comput. Appl..

[14]  Barry Smyth,et al.  A personalised TV listings service for the digital TV age , 2000, Knowl. Based Syst..

[15]  Michael J. Pazzani,et al.  User Modeling for Adaptive News Access , 2000, User Modeling and User-Adapted Interaction.

[16]  Michael J. Pazzani,et al.  A Framework for Collaborative, Content-Based and Demographic Filtering , 1999, Artificial Intelligence Review.

[17]  Robin D. Burke,et al.  The Wasabi Personal Shopper: A Case-Based Recommender System , 1999, AAAI/IAAI.

[18]  John Riedl,et al.  Combining Collaborative Filtering with Personal Agents for Better Recommendations , 1999, AAAI/IAAI.

[19]  Loriene Roy,et al.  Content-based book recommending using learning for text categorization , 1999, DL '00.

[20]  Ahmad M. Ahmad Wasfi.  Collecting user access patterns for building user profiles and collaborative filtering , 1998, IUI '99.

[21]  Bradley N. Miller,et al.  Using filtering agents to improve prediction quality in the GroupLens research collaborative filtering system , 1998, CSCW '98.

[22]  Michael J. Pazzani,et al.  Learning Collaborative Information Filters , 1998, ICML.

[23]  David Heckerman,et al.  Empirical Analysis of Predictive Algorithms for Collaborative Filtering , 1998, UAI.

[24]  William W. Cohen,et al.  Recommendation as Classification: Using Social and Content-Based Information in Recommendation , 1998, AAAI/IAAI.

[25]  Robert H. Guttman,et al.  Agent-mediated electronic commerce: a survey , 1998, The Knowledge Engineering Review.

[26]  Elaine Rich,et al.  User Modeling via Stereotypes , 1998, Cogn. Sci..

[27]  Sergey Brin,et al.  The Anatomy of a Large-Scale Hypertextual Web Search Engine , 1998, Comput. Networks.

[28]  S. Robertson.  The probability ranking principle in IR , 1997 .

[29]  Kristian J. Hammond,et al.  The FindMe Approach to Assisted Browsing , 1997, IEEE Expert.

[30]  Bruce Krulwich,et al.  LIFESTYLE FINDER: Intelligent User Profiling Using Large-Scale Demographic Data , 1997, AI Mag..

[31]  Michael J. Pazzani,et al.  Learning and Revising User Profiles: The Identification of Interesting Web Sites , 1997, Machine Learning.

[32]  Joshua Alspector,et al.  Feature-based and Clique-based User Models for Movie Selection: A Comparative Study , 1997, User Modeling and User-Adapted Interaction.

[33]  Richard Zeckhauser,et al.  Recommender systems for evaluating computer messages , 1997, CACM.

[34]  Yoav Shoham,et al.  Fab: content-based, collaborative recommendation , 1997, CACM.

[35]  Marko Balabanovic,et al.  An adaptive Web page recommendation service , 1997, AGENTS '97.

[36]  Ken Lang,et al.  NewsWeeder: Learning to Filter Netnews , 1995, ICML.

[37]  Mark Rosenstein,et al.  Recommending and evaluating choices in a virtual community of use , 1995, CHI '95.

[38]  Pattie Maes,et al.  Social information filtering: algorithms for automating “word of mouth” , 1995, CHI '95.

[39]  John Riedl,et al.  GroupLens: an open architecture for collaborative filtering of netnews , 1994, CSCW '94.

[40]  Andrew Jennings,et al.  A user model neural network for a personal news service , 1993, User Modeling and User-Adapted Interaction.

[41]  W. Bruce Croft,et al.  Information filtering and information retrieval: two sides of the same coin? , 1992, CACM.

[42]  P. W. Foltz,et al.  Using latent semantic indexing for information filtering , 1990, COCS '90.

[43]  Manfred K. Warmuth,et al.  The weighted majority algorithm , 1989, 30th Annual Symposium on Foundations of Computer Science.

[44]  Michael McGill,et al.  Introduction to Modern Information Retrieval , 1983 .

[45]  Stephen E. Robertson,et al.  Relevance weighting of search terms , 1976, J. Am. Soc. Inf. Sci..

[46]  Marko Balabanovic,et al.  Exploring Versus Exploiting when Learning User Models for Text Recommendation , 2004, User Modeling and User-Adapted Interaction.

[47]  Alan Hanjalic,et al.  Content-Based Analysis of Digital Video , 2004, Springer US.

[48]  ChengXiang Zhai,et al.  Probabilistic Relevance Models Based on Document and Query Generation , 2003 .

[49]  Márk Jelasity,et al.  Large-Scale Newscast Computing on the Internet , 2002 .

[50]  Ivan Koychev,et al.  Learning User Interests through Positive Examples Using Content Analysis and Collaborative Filtering , 2001 .

[51]  Peter Brusilovsky.  User modeling and user adapted interaction , 2001 .

[52]  John D. Lafferty,et al.  A study of smoothing methods for language models applied to Ad Hoc information retrieval , 2001, SIGIR '01.

[53]  Robin Cohen,et al.  Hybrid Recommender Systems for Electronic Commerce , 2000 .

[54]  Robin Burke,et al.  Knowledge-based recommender systems , 2000 .

[55]  Robin Burke,et al.  Integrating Knowledge-based and Collaborative-filtering Recommender Systems , 2000 .

[56]  Brendon Towle,et al.  Knowledge Based Recommender Systems Using Explicit User Models , 2000 .

[57]  Ralph Bergmann,et al.  Applying case-based reasoning technology for product selection and customization in electronic comme , 1999 .

[58]  Christian Posse,et al.  Bayesian Mixed-Effects Models for Recommender Systems , 1999 .

[59]  Mark Claypool,et al.  Combining Content-Based and Collaborative Filters in an Online Newspaper , 1999, SIGIR 1999.

[60]  Ian Soboroff. Charles Nicholas.  Combining Content and Collaboration in Text Filtering , 1999 .

[61]  John Riedl,et al.  Recommender Systems: A GroupLens Perspective , 1998 .

[62]  David M. Nichols,et al.  Implicit Rating and Filtering , 1998 .

[63]  Robert H. Guttman.  Merchant differentiation through integrative negotiation in agent-mediated electronic commerce , 1998 .

[64]  Michael M. Richter,et al.  The Knowledge Contained in Similarity Measures , 1995 .

[65]  Janet L. Kolodner,et al.  Case-Based Reasoning , 1989, IJCAI 1989.

[66]  J. J. Rocchio,et al.  Relevance feedback in information retrieval , 1971 .