Method for Product Selection Support Based on Reliability of Features in Reviews

    研究成果: 書籍/レポート タイプへの寄稿会議への寄与

    抄録

    When users selecting products on e-commerce sites, they always use reviews to guide their purchasing decisions. However, if several reviews are posted below one product, it might become difficult for users to select products efficiently. In this study, we propose two methods that use natural language processing technology, such as Word2vec and TF-IDF, to help users judge the reliability of features described in reviews effectively and efficiently. One method uses word embeddings and another method uses sentence embeddings. Finally, we evaluate the results of the two methods and find that the sentence embeddings method seams have a better performance.

    本文言語英語
    ホスト出版物のタイトルProceedings of the 2021 15th International Conference on Ubiquitous Information Management and Communication, IMCOM 2021
    編集者Sukhan Lee, Hyunseung Choo, Roslan Ismail
    出版社Institute of Electrical and Electronics Engineers Inc.
    ISBN(電子版)9780738105086
    DOI
    出版ステータス出版済み - 1月 4 2021
    イベント15th International Conference on Ubiquitous Information Management and Communication, IMCOM 2021 - Seoul, 韓国
    継続期間: 1月 4 20211月 6 2021

    出版物シリーズ

    名前Proceedings of the 2021 15th International Conference on Ubiquitous Information Management and Communication, IMCOM 2021

    会議

    会議15th International Conference on Ubiquitous Information Management and Communication, IMCOM 2021
    国/地域韓国
    CitySeoul
    Period1/4/211/6/21

    !!!All Science Journal Classification (ASJC) codes

    • 人工知能
    • コンピュータ ネットワークおよび通信
    • コンピュータ サイエンスの応用
    • 情報システム
    • 情報システムおよび情報管理
    • 健康情報学

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