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Review recommendation based on the automatic scoring mechanism to each evaluation aspect

Research Project

Project/Area Number 16K00425
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Research Field Web informatics, Service informatics
Research InstitutionUniversity of Marketing and Distribution Sciences

Principal Investigator

UEDA Mayumi  流通科学大学, 経済学部, 教授 (30402407)

Co-Investigator(Kenkyū-buntansha) 中島 伸介  京都産業大学, 情報理工学部, 教授 (90399535)
Project Period (FY) 2016-04-01 – 2019-03-31
Project Status Completed (Fiscal Year 2018)
Budget Amount *help
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2018: ¥1,300,000 (Direct Cost: ¥1,000,000、Indirect Cost: ¥300,000)
Fiscal Year 2017: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2016: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Keywords口コミ情報推薦 / レビュー推薦 / レビュー分析 / 評価値自動付与 / 類似ユーザ判定 / 価値観 / 口コミ分析 / タグ推薦 / 情報システム
Outline of Final Research Achievements

The purpose of this study is to develop a recommender system for cosmetic items and reviews to help consumers. In order to realize such recommender system, we developed a method for automatic scoring of various aspects of cosmetic items based on evaluation expression dictionary. Then, we studied a method to find similar users based on their preferences against cosmetic item clusters. Our system recommends cosmetic items which is evaluated high score by the similar user. In order to find the similar user, our system calculates the user similarity based on the evaluation for each aspect by users. Moreover, we studied a method to recommend truly useful reviews for each target user using scores of various aspects of cosmetic items.

Academic Significance and Societal Importance of the Research Achievements

本研究において,複数評価軸に対する評価値自動付与方式の実現により,自然言語による口コミ情報の中から,複数の評価軸に対する評価値を推定することにより,個人による評価のブレを排除し,アイテムに対する価値の全体像を把握することが可能となる.また,口コミ情報分析に基づく類似ユーザ判定手法の実現により,膨大な量の口コミ情報から,価値観の共有可能なユーザによって投稿された,閲覧者にとって真に有用となる口コミ情報を効率的に入手することが可能となる.本研究では,個人の意思決定に大きな影響を与えている口コミ情報を個人の価値観に沿って提供可能な仕組みを実現しており,社会的な意義は大きい.

Report

(4 results)
  • 2018 Annual Research Report   Final Research Report ( PDF )
  • 2017 Research-status Report
  • 2016 Research-status Report
  • Research Products

    (18 results)

All 2019 2018 2017 2016

All Journal Article (2 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 2 results,  Acknowledgement Compliant: 1 results) Presentation (16 results) (of which Int'l Joint Research: 6 results)

  • [Journal Article] How to Find Similar Users in Order to Develop a Cosmetics Recommender System2018

    • Author(s)
      Matsunami Yuki,Ueda Mayumi,Nakajima Shinsuke
    • Journal Title

      Transactions on Engineering Technologies, (International MultiConference on Engineers and Computer Scientists 2017)

      Volume: - Pages: 337-350

    • DOI

      10.1007/978-981-10-7488-2_25

    • ISBN
      9789811074875, 9789811074882
    • Related Report
      2017 Research-status Report
    • Peer Reviewed
  • [Journal Article] Mining Attribute-Specific Ratings from Reviews of Cosmetic Products2017

    • Author(s)
      Yuuki Matsunami, Mayumi Ueda, Shinsuke Nakajima, Takeru Hashikami, John O'Donovan, Byungkyu Kang
    • Journal Title

      Transactions on Engineering Technologies, (International MultiConference of Engineers and Computer Scientists 2016)

      Volume: - Pages: 101-114

    • DOI

      10.1007/978-981-10-3950-8_8

    • ISBN
      9789811039492, 9789811039508
    • Related Report
      2016 Research-status Report
    • Peer Reviewed / Int'l Joint Research / Acknowledgement Compliant
  • [Presentation] Developing Evaluation Expression Dictionaries for the Cosmetic Review Recommendation2019

    • Author(s)
      Mayumi Ueda, Yuki Matsunami, Panote Siriaraya, and Shinsuke Nakajima
    • Organizer
      The 2019 IAENG International Conference on Data Mining and Applications(ICDMA2019)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] コスメアイテムに関する評価項目別スコアを用いた類似ユーザ判定手法2019

    • Author(s)
      松波友稀,奥田麻美,上田真由美,中島伸介,パノット シリアラーヤ
    • Organizer
      第11回データ工学と情報マネジメントに関するフォーラム(DEIM2019)
    • Related Report
      2018 Annual Research Report
  • [Presentation] コスメ推薦のためのアイテムクラスタリング手法2019

    • Author(s)
      奥田麻美,松波友稀,上田真由美,中島伸介
    • Organizer
      第11回データ工学と情報マネジメントに関するフォーラム(DEIM2019)
    • Related Report
      2018 Annual Research Report
  • [Presentation] 化粧品の評価項目別スコア生成のための評価表現辞書の自動構築2019

    • Author(s)
      酒井美春,上田真由美,松下光範
    • Organizer
      第11回データ工学と情報マネジメントに関するフォーラム(DEIM2019)
    • Related Report
      2018 Annual Research Report
  • [Presentation] コスメ推薦におけるレビュー無記述評価項目のスコア推定方式の提案2019

    • Author(s)
      谷口祐奈,松波友稀,奥田麻美,上田真由美,中島伸介
    • Organizer
      第11回データ工学と情報マネジメントに関するフォーラム(DEIM2019)
    • Related Report
      2018 Annual Research Report
  • [Presentation] How to Recommend Informative Reviews for Consumers2018

    • Author(s)
      Mayumi Ueda
    • Organizer
      The 13th Korea-Japan (Japan-Korea) Database Workshop 2018 (KJDB2018)
    • Related Report
      2018 Annual Research Report
    • Int'l Joint Research
  • [Presentation] 各コスメアイテム分類に対する評価表現辞書構築方法に関する考察2018

    • Author(s)
      松波友稀,上田真由美,中島伸介
    • Organizer
      第10回データ工学と情報マネジメントに関するフォーラム(DEIM Forum 2018)
    • Related Report
      2017 Research-status Report
  • [Presentation] 項目別スコアを考慮した推薦コスメアイテムの提示方法の検討2018

    • Author(s)
      高井瑞姫,上田真由美,中島伸介
    • Organizer
      2018年電子情報通信学会総合大会 学生ポスターセッション
    • Related Report
      2017 Research-status Report
  • [Presentation] User Similarity Calculating Method for Cosmetic Review Recommender System2017

    • Author(s)
      Yuki Matsunami, Asami Okuda, Mayumi Ueda, Shinsuke Nakajima
    • Organizer
      International MultiConference on Engineers and Computer Scientists 2017
    • Place of Presentation
      Hong Kong(China)
    • Year and Date
      2017-03-15
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research
  • [Presentation] コスメアイテムに対する評価項目別自動スコアリング方式の開発2017

    • Author(s)
      松波友稀,上田真由美,中島伸介
    • Organizer
      第9回データ工学と情報マネジメントに関するフォーラム(DEIM2017)
    • Place of Presentation
      高山グリーンホテル(岐阜県・高山市)
    • Year and Date
      2017-03-06
    • Related Report
      2016 Research-status Report
  • [Presentation] コスメレビュー共有システムのための類似ユーザ判定手法2017

    • Author(s)
      奥田麻美,松波友稀,上田真由美,中島伸介
    • Organizer
      第9回データ工学と情報マネジメントに関するフォーラム(DEIM2017)
    • Place of Presentation
      高山グリーンホテル(岐阜県・高山市)
    • Year and Date
      2017-03-06
    • Related Report
      2016 Research-status Report
  • [Presentation] Tag recommendation method for a cosmetics review recommender system2017

    • Author(s)
      Yuki Matsunami, Mayumi Ueda, Shinsuke Nakajima
    • Organizer
      The 19th International Conference on Information Integration and Web-based Applications & Services(iiWAS'17)
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Presentation] Finding similar users based on their preferences against cosmetic item clusters2017

    • Author(s)
      Asami Okuda, Yuki Matsunami, Mayumi Ueda, Shinsuke Nakajima
    • Organizer
      The 19th International Conference on Information Integration and Web-based Applications & Services(iiWAS'17)
    • Related Report
      2017 Research-status Report
    • Int'l Joint Research
  • [Presentation] コスメアイテムに対する項目別スコアを用いた効果タグ推薦手法の提案2017

    • Author(s)
      松波友稀,上田真由美,中島伸介
    • Organizer
      第10回Webとデータベースに関するフォーラム(WebDB Forum 2017)
    • Related Report
      2017 Research-status Report
  • [Presentation] コスメアイテム推薦のための類似ユーザ判定方式2017

    • Author(s)
      奥田麻美, 松波友稀, 上田真由美, 中島伸介
    • Organizer
      第10回Webとデータベースに関するフォーラム(WebDB Forum 2017)
    • Related Report
      2017 Research-status Report
  • [Presentation] A Cross-Cultural Analysis of Explanations for Product Reviews2016

    • Author(s)
      John O'Donovan, Shinsuke Nakajima, Tobias Hollerer, Mayumi Ueda, Yuuki Matsunami, Byungkyu Kang
    • Organizer
      Joint Workshop on Interfaces and Human Decision Making for Recommender Systems(IntRS 2016) co-located with ACM Conference on Recommender Systems (RecSys 2016)
    • Place of Presentation
      Boston(USA)
    • Year and Date
      2016-09-16
    • Related Report
      2016 Research-status Report
    • Int'l Joint Research

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Published: 2016-04-21   Modified: 2023-03-16  

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