2026-03-11T06:35:05Z https://fun.repo.nii.ac.jp/oai

oai:fun.repo.nii.ac.jp:00003821 2025-02-07T02:37:48Z 22:28 25:81:96

Adaptive Fusion Method For User-based and Item-based Collaborative Filtering Yamashita, Akihiro Kawamura, Hidenori 10250482 鈴木, 恵二 metadata only access In this research, first, we investigated the relationship between recommendation accuracy and the weight parameter. The results show the optimal weight is different depending on the situation. Second, we propose an approach for estimation of the appropriate weight value based on collected ratings. Then, we discuss the effectiveness of the proposed approach based on both multi-agent simulation and the MovieLens dataset. World Scientific Publishing 2011-04 eng journal article http://hdl.handle.net/10445/8171 https://fun.repo.nii.ac.jp/records/3821 Advances in Complex Systems 14 2 133 149