A probabilistic music recommender considering user opinions and audio features

Author:

Li Qing,Myaeng Sung Hyon,Kim Byeong Man

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference26 articles.

1. Fab: content-based, collaborative recommendation;Balabanovic;Communications of the ACM,1997

2. Bradley, P. S., & Fayyad, U. M. (1998). Refining initial points for k-means clustering. In Proceedings of the ICML ’98 (pp. 91–99).

3. Breese, J. S., Heckerman, D., & Kardie, C. (1998). Empirical analysis of predictive algorithms for collaborative filtering. In Proceedings of the 14th UAI (pp. 43–52).

4. Chen, Hung-Chen & Arbee L. P. Chen. (2001). A music recommendation system based on music data grouping and user interests. In Proceedings of the 10th CKIM.

5. Claypool, M., Gokhale, A., Miranda, T., Murnikov, P., Netes, D., & Sartin, M. (1999). Combining content-based and collaborative filters in an online newspaper. In Proceedings of the ACM-SIGIR workshop on recommender systems: algorithms and evaluation.

Cited by 72 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. An investigation of the exposure effect of recommender systems in hospitality;Decision Analytics Journal;2024-03

2. Collaborative Filtering Recommendation Method Based on ART2 Dynamic Clustering;2023 13th International Conference on Information Technology in Medicine and Education (ITME);2023-11-24

3. A new similarity measure to increase coverage of rating predictions for collaborative filtering;Applied Intelligence;2023-10-13

4. BTSAMA;International Journal of Ambient Computing and Intelligence;2023-07-31

5. BGCL: Bi-subgraph network based on graph contrastive learning for cold-start QoS prediction;Knowledge-Based Systems;2023-03

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3