GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Footprints: history-rich tools for information foraging
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Adaptive web sites: an AI challenge
IJCAI'97 Proceedings of the 15th international joint conference on Artifical intelligence - Volume 1
Adaptive web sites: conceptual cluster mining
IJCAI'99 Proceedings of the 16th international joint conference on Artifical intelligence - Volume 1
Letizia: an agent that assists web browsing
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Syskill & webert: Identifying interesting web sites
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
A Complementary Approach for Adaptive and Adaptable Hypermedia: Intensional Hypertext
Revised Papers from the nternational Workshops OHS-7, SC-3, and AH-3 on Hypermedia: Openness, Structural Awareness, and Adaptivity
Link Augmentation: A Context-Based Approach to Support Adaptive Hypermedia
Revised Papers from the nternational Workshops OHS-7, SC-3, and AH-3 on Hypermedia: Openness, Structural Awareness, and Adaptivity
An architecture for evolutionary adaptive web systems
WINE'05 Proceedings of the First international conference on Internet and Network Economics
Task-Oriented web user modeling for recommendation
UM'05 Proceedings of the 10th international conference on User Modeling
A fuzzy co-clustering approach for hybrid recommender systems
International Journal of Hybrid Intelligent Systems
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Most web services take a "one size fits all" approach: all visitors see the same generic content, formatted in the same generic manner. But of course each visitor has her own information needs and preferences. In contrast to most personalization systems, we are interested in how effective personalization can be with zero additional user input or feedback. This paper describes PWW, an extensible suite of tools for personalizing web sites, and introduces RBPR, a novel zero-input recommendation technique. RBPR uses information about a visitor's browsing context (specifically, the referrer URL provided by HTTP) to suggest pages that might be relevant to the visitor's underlying information need. Empirical results for an actual web site demonstrate that RBPR makes useful suggestions even though it places no additional burden on web visitors.