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Title:
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EXPERIMENTS WITH A RECOMMENDATION TECHNIQUE THAT LEARNS CATEGORY INTERESTS |
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Author(s):
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Mark Van Setten |
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ISBN:
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972-9027-53-6 |
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Editors:
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Pedro Isaías |
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Year:
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2002 |
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Edition:
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Single |
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Keywords:
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Personalization, Recommendation, Social Filtering, Learning, Experiment . |
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Type:
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Short Paper |
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First Page:
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722 |
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Last Page:
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725 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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An important step in providing personalized information is predicting the level of interest in information for a specific user. This paper describes a technique that predicts this level of interest for information that is described by a set of categories. The technique is tested in a movie recommendation system and compared with the social filtering prediction technique. The results show that the category-based prediction technique outperforms social filtering. |
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