Real-World Mood-Based Music Recommendation

摘要：

We present a music recommendation system that incorporates both collaborative filtering and mood-based recommendations.The benefits of incorporating mood-based recommendations over both content/genre-based and collaborative filtering-based recommendation are illustrated by means of a real-world user evaluation in which 54 users took part in a one month long evaluation.

关键词： Collaborative filtering content filtering recommendation music recommendation mood

作者: Magnus Mortensen Cathal Gurrin Dag Johansen

作者单位: Department of Computer Science,University of Troms0,Breivika,NO-9037 Tromsφ,Norway;Senior Engineer a Department of Computer Science,University of Troms0,Breivika,NO-9037 Tromsφ,Norway;Adaptive Informat Department of Computer Science,University of Troms0,Breivika,NO-9037 Tromsφ,Norway4;Chief Scientist

会议类型: 国际会议

会议名称: 4th Asia Information Retrieval Symposium(AIRS 2008)(第四届亚洲信息检索研讨会)

会议地点: 哈尔滨

会议语种:英文

页码: 514-519

在线出版日期: 2008-01-16（万方平台首次上网日期，不代表论文的发表时间）