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
    EditorsJeffrey Yu, Zhenhui Li, Hanghang Tong, Feida Zhu
    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

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    Keywords

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

    ASJC Scopus subject areas

    • Computer Science Applications
    • Software

    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 J. Yu, Z. Li, H. Tong, & F. Zhu (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