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

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018
EditorsZhenhui Li, Feida Zhu, Hanghang Tong, Jeffrey Yu
PublisherIEEE Computer Society
Pages1316-1322
Number of pages7
ISBN (Electronic)9781538692882
DOIs
Publication statusPublished - 2019 Feb 7
Event18th IEEE International Conference on Data Mining Workshops, ICDMW 2018 - Singapore, Singapore
Duration: 2018 Nov 172018 Nov 20

Publication series

NameIEEE International Conference on Data Mining Workshops, ICDMW
Volume2018-November
ISSN (Print)2375-9232
ISSN (Electronic)2375-9259

Conference

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

Keywords

  • Conversational recommendation
  • explainable recommendation
  • natural language generation
  • personalization
  • recommender system

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

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  • Cite this

    Zhao, G., Fu, H., Song, R., Sakai, T., Xie, X., & Qian, X. (2019). Why you should listen to this song: Reason generation for explainable recommendation. In Z. Li, F. Zhu, H. Tong, & J. Yu (Eds.), Proceedings - 18th IEEE International Conference on Data Mining Workshops, ICDMW 2018 (pp. 1316-1322). [8637420] (IEEE International Conference on Data Mining Workshops, ICDMW; Vol. 2018-November). IEEE Computer Society. https://doi.org/10.1109/ICDMW.2018.00187