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STAIRS
2008
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14 years 11 months ago
Probabilistic Association Rules for Item-Based Recommender Systems
Since the beginning of the 1990's, the Internet has constantly grown, proposing more and more services and sources of information. The challenge is no longer to provide users ...
Sylvain Castagnos, Armelle Brun, Anne Boyer
IUI
2003
ACM
15 years 2 months ago
MovieLens unplugged: experiences with an occasionally connected recommender system
Recommender systems have changed the way people shop online. Recommender systems on wireless mobile devices may have the same impact on the way people shop in stores. We present o...
Bradley N. Miller, Istvan Albert, Shyong K. Lam, J...
TIDSE
2004
Springer
15 years 3 months ago
A System to Compose Movies for Cross-Cultural Storytelling: Textable Movie
Abstract. This paper presents Textable Movie, an open-ended interface that allows anyone to become "video-jockey." In the framework of computational storytelling, Textabl...
Catherine Vaucelle, Glorianna Davenport
IUI
2000
ACM
15 years 2 months ago
Virtual reviewers for collaborative exploration of movie reviews
We propose a collaborative exploration system that helps users to explore recommendations from various viewpoints. Given ratings and reviews on movies from reviewers, the system p...
Jun'ichi Tatemura
AIRS
2009
Springer
15 years 4 months ago
Language Models of Collaborative Filtering
Abstract. Collaborative filtering is a major technique to make personalized recommendations about information items (movies, books, webpages etc) to individual users. In the liter...
Jun Wang