Music recommendation hybrid system for improving recognition ability using collaborative filtering and impression words

被引:0
作者
Yoshizaki, S. [1 ]
Yoshitomi, Y. [2 ]
Koro, C. [3 ]
Asada, T. [2 ]
机构
[1] Works Applicat Co Ltd, Minato Ku, 1-12-32 Akasaka, Tokyo, Japan
[2] Kyoto Prefectural Univ, Grad Sch Life & Environm Sci, Sakyo Ku, Kyoto 6068522, Japan
[3] IR Software Corp, Chuo Ku, Osaka 5410053, Japan
来源
PROCEEDINGS OF THE EIGHTEENTH INTERNATIONAL SYMPOSIUM ON ARTIFICIAL LIFE AND ROBOTICS (AROB 18TH '13) | 2013年
关键词
Collaborative filtering; Music recommendation; Music therapy; Impression word; and Recognition ability;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Music therapy for improving recognition ability may be more effective when the favorite music of each person is adopted. In the proposed system, first, the recommendation process using collaborative filtering is terminated when no users in the reference list have the same preference of recommended music as that of a new user. Then, the second recommendation process finds the most similar music, from the scores for impression words, to those successfully recommended among music not recommended up to the moment. The average number of recommended songs for each user by the proposed system was 12.1, whereas that of collaborative filtering was 4.3. The recommendation accuracy of the proposed system was 70.2%, whereas that of collaborative filtering was 62.1%. The ratings of songs can be added on a user-by-user basis in the recommendation process, and this increased number of cases improves the recommendation accuracy and increases the number of recommended songs.
引用
收藏
页码:192 / 196
页数:5
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