Searching for "Content-Based Recommendation Systems." – sorted by Relevance.
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Content-based recommendation systems
- . © Springer-Verlag Berlin Heidelberg 2007 10 Content-Based Recommendation Systems Michael J. Pazzani 1
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Conflict-directed relaxation of constraints in content-based recommender systems
- Conflict-directed relaxation of constraints in content-based recommender systems Dietmar Jannach
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METIOREW: An Objective Oriented Content Based and Collaborative Recommending System
- of development of this system and the lines that we are following. 1.1 Content-Based Recommendations In order
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Raymond J. Mooney Paul N. Bennett
- @(email omitted); Abstract Content-based recommender systems suggest documents, items, and services to users based
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Similarity for news recommender systems
- , Aberdeen, UK ntintare{jmasthof}@(email omitted); Abstract. The accuracy of content-based recommender systems
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Improving Recommendation Diversity
- systems o#er users a more intelligent and personalised mechanism to seek out new information. Content-based
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Agent Support for WWW Users
- of Content-Based Recommendation systems, Letizia and WebWatcher. We also compare two implementations
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Book Recommending Using Text Categorization with Extracted Information
- ) is another interesting direction. Conclusions Content-based recommender systems for books and other items
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Techniques for Fast Query Relaxation in Contentbased Recommender Systems
- Techniques for Fast Query Relaxation in Content-based Recommender Systems Dietmar Jannach
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Efficient Bayesian Hierarchical User Modeling for Recommendation Systems
- ABSTRACT Efficient Bayesian Hierarchical User Modeling for Recommendation Systems A content-based
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