2026-03-14T23:55:57Z 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 6848 Kawamura, Hidenori 6849 鈴木, 恵二 106 10250482 0000-0002-8599-3712 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. journal article World Scientific Publishing 2011-04 Advances in Complex Systems 2 14 133 149 http://hdl.handle.net/10445/8171 https://fun.repo.nii.ac.jp/records/3821 eng metadata only access