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MusicRoBot: Towards conversational context-aware music recommender system

  • Chunyi Zhou
  • , Yuanyuan Jin
  • , Kai Zhang
  • , Jiahao Yuan
  • , Shengyuan Li
  • , Xiaoling Wang*
  • *此作品的通讯作者
  • East China Normal University
  • Shenzhen Gowild Robotics Co. Ltd.

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Traditional recommendation approaches work well on depicting users’ long-term music preference. However, in the conversational applications, it is unable to capture users’ real time music taste, which are dynamic and depend on user context including users’ emotion, current activities or sites. To meet users’ real time music preferences, we have developed a conversational music recommender system based on music knowledge graph, MusicRoBot (Music RecOmmendation Bot). We embed the music recommendation into a chatbot, integrating both the advantages of dialogue system and recommender system. In our system, conversational interaction helps capture more real-time and richer requirements. Users can receive real time recommendation and give feedbacks by conversation. Besides, MusicRoBot also provides the music Q&A function to answer several types of musical question by the music knowledge graph. A WeChat based service has been deployed piloted for volunteers already.

源语言英语
主期刊名Database Systems for Advanced Applications - 23rd International Conference, DASFAA 2018, Proceedings
编辑Jian Pei, Shazia Sadiq, Jianxin Li, Yannis Manolopoulos
出版商Springer Verlag
817-820
页数4
ISBN(印刷版)9783319914572
DOI
出版状态已出版 - 2018
活动23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018 - Gold Coast, 澳大利亚
期限: 21 5月 201824 5月 2018

出版系列

姓名Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10828 LNCS
ISSN(印刷版)0302-9743
ISSN(电子版)1611-3349

会议

会议23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018
国家/地区澳大利亚
Gold Coast
时期21/05/1824/05/18

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