Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Agents that reduce work and information overload
Communications of the ACM
Hierarchical mixtures of experts and the EM algorithm
Neural Computation
Regularization theory and neural networks architectures
Neural Computation
Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Machine Learning
Fab: content-based, collaborative recommendation
Communications of the ACM
GroupLens: applying collaborative filtering to Usenet news
Communications of the ACM
Columbia digital news system an environment for briefing and search over multimedia information
IEEE ADL '97 Proceedings of the IEEE international forum on Research and technology advances in digital libraries
Internet Resource Discovery Services
Computer
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Hybrid Recommender Systems: Survey and Experiments
User Modeling and User-Adapted Interaction
Tailoring the Interaction with Users in Web Stores
User Modeling and User-Adapted Interaction
Predictive Statistical Models for User Modeling
User Modeling and User-Adapted Interaction
Empirical Evaluation of User Models and User-Adapted Systems
User Modeling and User-Adapted Interaction
A Review and Analysis of Commercial User Modeling Servers for Personalization on the World Wide Web
User Modeling and User-Adapted Interaction
User Modeling for Personalized City Tours
Artificial Intelligence Review
A Hybrid Approach to Making Recommendations and Its Application to the Movie Domain
AI '01 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
A Movie Recommendation System—An Application of Voting Theory in User Modeling
User Modeling and User-Adapted Interaction
Personalised hypermedia presentation techniques for improving online customer relationships
The Knowledge Engineering Review
The Knowledge Engineering Review
Stacking recommendation engines with additional meta-features
Proceedings of the third ACM conference on Recommender systems
Fusing Recommendations for Social Bookmarking Web Sites
International Journal of Electronic Commerce
Hybrid systems for personalized recommendations
ITWP'03 Proceedings of the 2003 international conference on Intelligent Techniques for Web Personalization
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The huge amount of information available in thecurrently evolving world wide information infrastructure at any onetime can easily overwhelm end-users. One way to address theinformation explosion is to use an ’information filtering agent‘which can select information according to the interest and/or needof an end-user. However, at present few information filtering agentsexist for the evolving world wide multimedia information infrastructure.In this study, we evaluate the use of feature-based approachesto user modeling with the purpose of creating a filtering agentfor the video-on-demand application. We evaluate severalfeature and clique-based models for 10 voluntary subjects whoprovided ratings for the movies. Our preliminary results suggestthat feature-based selection can be a useful tool torecommend movies according to the taste of the userand can be as effective as a movie rating expert. Wecompare our feature-based approach with a clique-based approach, whichhas advantages where information from other users is available.