An Improved Recommendation Method for Better Filtering Information out of Database

概要

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Content-based filtering and collaborative filtering techniques have been used for selecting information based on user's previous preference tendency and opinions of other people who have similar tastes with the user. Combining both filtering techniques or hybrid systems have also been proposed to get better recommendation results. In this paper, we present an improved recommendation method that copes with the sparsity rating problem and increases the quality of Information Filtering agent of the hybrid systems. This propose is to recommend information that reflect the user interest more accurately. As implementing our method, we also present an experimental recommender system for movie, called e-Yawara (extended Yawara). The evaluation shows that e-Yawara is more efficient and provides more accurate results than conventional filtering systems, both collaborative filtering and hybrid systems.
一般社団法人情報処理学会の論文
2002-06-15