@inproceedings{cb71b3635c484a2f8cc379db3dc38650,
title = "MusicRoBot: Towards conversational context-aware music recommender system",
abstract = "Traditional recommendation approaches work well on depicting users{\textquoteright} long-term music preference. However, in the conversational applications, it is unable to capture users{\textquoteright} real time music taste, which are dynamic and depend on user context including users{\textquoteright} emotion, current activities or sites. To meet users{\textquoteright} 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.",
keywords = "Dialogue system, Music recommendation, Online recommendation, Recommender system",
author = "Chunyi Zhou and Yuanyuan Jin and Kai Zhang and Jiahao Yuan and Shengyuan Li and Xiaoling Wang",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 23rd International Conference on Database Systems for Advanced Applications, DASFAA 2018 ; Conference date: 21-05-2018 Through 24-05-2018",
year = "2018",
doi = "10.1007/978-3-319-91458-9\_55",
language = "英语",
isbn = "9783319914572",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "817--820",
editor = "Jian Pei and Shazia Sadiq and Jianxin Li and Yannis Manolopoulos",
booktitle = "Database Systems for Advanced Applications - 23rd International Conference, DASFAA 2018, Proceedings",
address = "德国",
}