Smart Recommendation of Personalized Cloud Music Service Based on Mental Model

摘要：

　　Cloud music service has become one of the popular internet services in today's people's life.Meanwhile,the artistic experience brought by music to audience is greatly affected by the audience's psychological preferences as well as their mood status under different environment scenes,and therefore those personalized requirements should be considered in the recommendations of cloud music service for improving the audience's satisfactions and searching efficiency.This paper firstly conducted a neural experiment to analyze the audience's satisfactions and their concerned factors of cloud music services,and on this basis studied the mental model to describe audience's psychological preferences and music choice habits from the intelligent mining of their behavioral data.Finally,the smart recommendation method which embedded emotional intelligence with rational intelligence based on the audience's mental model was proposed for personalized cloud music services.

关键词： Smart recommendation cloud music service mental model rational intelligence emotional intelligence

作者: Duo Xu Yonghui Dai Weihui Dai

作者单位: Department of Arts Management,Tianjin Conservatory of Music,China Management School,Shanghai University of International Business and Economics,China School of Management,Fudan University,China

会议类型: 国际会议

会议名称: 2019国图灵大会(ACM Turing Celebration conference-China 2019 )

会议地点: 成都

会议语种:英文

页码: 247-252

在线出版日期: 2019-05-17（万方平台首次上网日期，不代表论文的发表时间）