Why you should listen to this song: Reason generation for explainable recommendation

Guoshuai Zhao, Hao Fu, Ruihua Song, Tetsuya Sakai, Xing Xie, Xueming Qian

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Explainable recommendation, which makes a user aware of why such items are recommended has received a lot of attention as a highly practical research topic. The goal of our research is to make the users feel as if they are receiving recommendations from their friends. To this end, we formulate a new challenging problem called reason generation for explainable recommendation in conversation applications, and propose a solution that generates a natural language explanation of the reason for recommending an item to that particular user. Evaluation with manual assessments indicates that our generated reasons are relevant to songs and personalized to users. They are also fluent and easy to understand. A large-scale online experiments show that our method outperforms manually selected reasons by 8.2% in terms of click-through rate.

本文言語English
ホスト出版物のタイトルProceedings - 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018
編集者Zhenhui Li, Feida Zhu, Hanghang Tong, Jeffrey Yu
出版社IEEE Computer Society
ページ1316-1322
ページ数7
ISBN(電子版)9781538692882
DOI
出版ステータスPublished - 2019 2 7
イベント18th IEEE International Conference on Data Mining Workshops, ICDMW 2018 - Singapore, Singapore
継続期間: 2018 11 172018 11 20

出版物シリーズ

名前IEEE International Conference on Data Mining Workshops, ICDMW
2018-November
ISSN(印刷版)2375-9232
ISSN(電子版)2375-9259

Conference

Conference18th IEEE International Conference on Data Mining Workshops, ICDMW 2018
CountrySingapore
CitySingapore
Period18/11/1718/11/20

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

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引用スタイル