Recommender Systems for the Web

Recommender systems already provide substantial user value by personalizing a number of sites on the Web. The Semantic Web brings forward rich opportunities for improving these interfaces, and for striking a better balance between content and collaborative personalization methods.

[1]  Sean M. McNee,et al.  Interfaces for Eliciting New User Preferences in Recommender Systems , 2003, User Modeling.

[2]  John Riedl,et al.  E-Commerce Recommendation Applications , 2004, Data Mining and Knowledge Discovery.

[3]  John Riedl,et al.  View through MetaLens: usage patterns for a meta-recommendation system , 2004, IEE Proc. Softw..

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

[5]  Kristina Höök,et al.  Footprints in the Snow , 1999 .

[6]  Neil J. Hurley,et al.  Collaborative recommendation: A robustness analysis , 2004, TOIT.

[7]  Sean M. McNee,et al.  Confidence Displays and Training in Recommender Systems , 2003, INTERACT.

[8]  Loren Terveen,et al.  PHOAKS: a system for sharing recommendations , 1997, CACM.

[9]  John Riedl,et al.  An algorithmic framework for performing collaborative filtering , 1999, SIGIR '99.

[10]  Sean M. McNee,et al.  Getting to know you: learning new user preferences in recommender systems , 2002, IUI '02.

[11]  Jonathan L. Herlocker,et al.  A collaborative filtering algorithm and evaluation metric that accurately model the user experience , 2004, SIGIR '04.

[12]  Bradley N. Miller,et al.  Experiences with GroupLens: marking usenet useful again , 1997 .

[13]  Joseph F. McCarthy,et al.  MUSICFX: an arbiter of group preferences for computer supported collaborative workouts , 2000, CSCW '00.

[14]  Kristina Höök,et al.  Social Navigation of Information Space , 1999, Computer Supported Cooperative Work.

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

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

[17]  Lorrie Faith Cranor,et al.  Web Privacy with P3p , 2002 .

[18]  John Riedl,et al.  Item-based collaborative filtering recommendation algorithms , 2001, WWW '01.

[19]  Robin D. Burke,et al.  Hybrid Recommender Systems: Survey and Experiments , 2002, User Modeling and User-Adapted Interaction.

[20]  Frank Linton,et al.  OWL: A Recommender System for Organization-Wide Learning , 2000, J. Educ. Technol. Soc..

[21]  Stuart E. Middleton,et al.  Ontological user profiling in recommender systems , 2004, TOIS.

[22]  Luo Si,et al.  Collaborative filtering with decoupled models for preferences and ratings , 2003, CIKM '03.

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

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

[25]  Dan Cosley,et al.  Think different: increasing online community participation using uniqueness and group dissimilarity , 2004, CHI.

[26]  John Riedl,et al.  Meta-recommendation systems: user-controlled integration of diverse recommendations , 2002, CIKM '02.

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

[28]  Yoichi Shinoda,et al.  Information filtering based on user behavior analysis and best match text retrieval , 1994, SIGIR '94.

[29]  Philip S. Yu,et al.  Horting hatches an egg: a new graph-theoretic approach to collaborative filtering , 1999, KDD '99.

[30]  Bradley N. Miller,et al.  GroupLens: applying collaborative filtering to Usenet news , 1997, CACM.

[31]  Sean M. McNee,et al.  Enhancing digital libraries with TechLens+ , 2004, JCDL.

[32]  Thomas Hofmann,et al.  Latent semantic models for collaborative filtering , 2004, TOIS.

[33]  Kate Ehrlich,et al.  Pointing the way: active collaborative filtering , 1995, CHI '95.

[34]  John Riedl,et al.  Shilling recommender systems for fun and profit , 2004, WWW '04.

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

[36]  Bradley N. Miller,et al.  MovieLens Unplugged: Experiences with a Recommender System on Four Mobile Devices , 2004 .

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

[38]  John Riedl,et al.  Is seeing believing?: how recommender system interfaces affect users' opinions , 2003, CHI '03.

[39]  Douglas B. Terry,et al.  Using collaborative filtering to weave an information tapestry , 1992, CACM.

[40]  Paul P. Maglio,et al.  Web Places: Using Intermediaries to Add People to the Web , 2003, Designing Information Spaces.

[41]  Loren G. Terveen,et al.  Using frequency-of-mention in public conversations for social filtering , 1996, CSCW '96.

[42]  John Riedl,et al.  Explaining collaborative filtering recommendations , 2000, CSCW '00.

[43]  Joseph A. Konstan,et al.  Metalens: a framework for multi-source recommendations , 2001 .

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

[45]  Joseph A. Konstan,et al.  Content-Independent Task-Focused Recommendation , 2001, IEEE Internet Comput..

[46]  Ravi Jain,et al.  MultECommerce: a distributed architecture for collaborative shopping on the WWW , 2000, EC '00.

[47]  John Riedl,et al.  PolyLens: A recommender system for groups of user , 2001, ECSCW.

[48]  George Karypis,et al.  Item-based top-N recommendation algorithms , 2004, TOIS.

[49]  Krishna Bharat,et al.  Personalized, interactive news on the Web , 1998, Multimedia Systems.

[50]  Jonathan L. Herlocker,et al.  Evaluating collaborative filtering recommender systems , 2004, TOIS.

[51]  Loren G. Terveen,et al.  Finding and visualizing inter-site clan graphs , 1998, CHI.

[52]  Sean M. McNee,et al.  On the recommending of citations for research papers , 2002, CSCW '02.

[53]  Paul Resnick,et al.  PICS: Internet access controls without censorship , 1996, CACM.

[54]  John Riedl,et al.  Analysis of recommendation algorithms for e-commerce , 2000, EC '00.