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A study on an embedding model for constructing organic marketing system

Research Project

Project/Area Number 21K14369
Research Category

Grant-in-Aid for Early-Career Scientists

Allocation TypeMulti-year Fund
Review Section Basic Section 25010:Social systems engineering-related
Research InstitutionSophia University

Principal Investigator

Yamashita Haruka  上智大学, 理工学部, 准教授 (90754797)

Project Period (FY) 2021-04-01 – 2024-03-31
Project Status Completed (Fiscal Year 2023)
Budget Amount *help
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2023: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2022: ¥1,820,000 (Direct Cost: ¥1,400,000、Indirect Cost: ¥420,000)
Fiscal Year 2021: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Keywordsマーケティングモデル / 社会システム / 機械学習 / データ分析 / 実験計画法 / 埋め込みモデル / マーケティングシステム / クーポン配布 / ベイズ最適化 / GA2M / 主要点分析法 / 潜在クラスモデル / マーケティング / Doc2Vec / 深層学習 / 最適化 / 欠損値保管 / ビジネスアナリティクス / ビッグデータ分析
Outline of Research at the Start

企業が所有する顧客からのフィードバックデータは,全ての顧客に対して与えられないことが多いため,十分に活用することができず,企業の成長の機会を逃していると考えられる.本研究では,企業と顧客が商品やサービスを介して互いにフィードバックし合い成長し合う有機的なマーケティングシステムの構築を目指す.そのために,フィードバックデータに対して,購買行動履歴データと同様に扱うためにデータを補完するための埋め込みモデル,時間の経過を考慮した購買履歴データの埋め込みモデルに基づく製品の品質向上モデル,複数のドメインのデータを活用するための埋め込みモデルに基づく新製品開発モデルを開発する.

Outline of Final Research Achievements

In the first and second years of this study, a new embedded model was constructed and its validity was discussed. Furthermore, in the final year, in order to realize an organic marketing system, we applied the results constructed by the second year to an actual marketing situation and conducted experiments. For models that were deemed difficult to experiment with due to difficulties in coordinating with companies, we prepared a simple problem set and conducted experiments under such a set of problems to show examples of application. Experiments were also conducted under problem settings that were easy to experiment with. We have further refined the ideas obtained from the previous year's research results, and have launched several new studies. Several new studies were initiated. Although it was difficult to achieve the original plan perfectly, we have been able to However, we have been able to The effectiveness of this research in the real world was suggested.

Academic Significance and Societal Importance of the Research Achievements

本研究では、有機的マーケティングシステムのモデルを構築し、そこから実務的に役だつようなシステムの構築を目指した。いくつかの新しい埋め込みモデルの構築は達成したが、実社会におけるシステムの構築は、完全には達成できなかった。ただし部分的な実証実験や適用分野を変えた場合の有効性は示すことができた。さらに本研究から様々な数理モデルを構築することができ,今後の研究にもつながったため、学術的にも社会的にも貢献することができたと考えている.

Report

(4 results)
  • 2023 Annual Research Report   Final Research Report ( PDF )
  • 2022 Research-status Report
  • 2021 Research-status Report
  • Research Products

    (20 results)

All 2023 2022 2021

All Journal Article (6 results) (of which Peer Reviewed: 6 results,  Open Access: 6 results) Presentation (14 results) (of which Int'l Joint Research: 7 results)

  • [Journal Article] A Method to Improve Serendipity of Recommendation Lists Based on Collaborative Metric Learning2023

    • Author(s)
      Akiko Yoneda, Ryota Matsunae, Haruka Yamashita, Masayuki Goto
    • Journal Title

      Total Quality Science

      Volume: 9 Issue: 2 Pages: 62-73

    • DOI

      10.17929/tqs.9.62

    • ISSN
      2189-3195
    • Year and Date
      2023-12-01
    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] A Study on Out-of-Distribution Detection based on Generative Models Trained for Each Discriminant Class2023

    • Author(s)
      Ryota Matsunae, Fuyu Saito, Haruka Yamashita, Masayuki Goto
    • Journal Title

      Total Quality Science

      Volume: 8 Issue: 2 Pages: 100-112

    • DOI

      10.17929/tqs.8.100

    • ISSN
      2189-3195
    • Year and Date
      2023-06-15
    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] A Study on Principal Points for a Multivariate Binary Distribution Considering the Distance between Clusters2023

    • Author(s)
      竹本 真悟,山下 遥
    • Journal Title

      情報処理学会論文誌

      Volume: 64 Issue: 1 Pages: 179-188

    • DOI

      10.20729/00223422

    • ISSN
      1882-7764
    • Year and Date
      2023-01-15
    • Related Report
      2022 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] Effectiveness verification framework for coupon distribution marketing measure considering users’ potential purchase intentions2023

    • Author(s)
      Akiko Yoneda, Ryotaro Shimizu, Shion Sakurai, Makoto Kawata, Haruka Yamashita, Masayuki Goto
    • Journal Title

      Congent Engineering

      Volume: 11 Issue: 1 Pages: 2307718-2307718

    • DOI

      10.1080/23311916.2024.2307718

    • Related Report
      2023 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] An Analysis for Promoting the Use of Food and Beverage Outlets in Movie Theaters Based on the Latent Class Logit Model2022

    • Author(s)
      Tomohiro KIMURA, Haruka YAMASHITA
    • Journal Title

      International Journal of Japan Association for Management Systems

      Volume: 14 Issue: 1 Pages: 27-33

    • DOI

      10.14790/ijams.14.27

    • ISSN
      1884-2089, 2188-2460
    • Year and Date
      2022-12-31
    • Related Report
      2022 Research-status Report
    • Peer Reviewed / Open Access
  • [Journal Article] An Item Recommendation Algorithm on a Cyber Mall Based on TransRec Model Representing Stores by Linear Lines2021

    • Author(s)
      大堀 祐一,楊 添翔,山下 遥,後藤 正幸
    • Journal Title

      情報処理学会論文誌

      Volume: 62 Issue: 2 Pages: 782-795

    • DOI

      10.20729/00209350

    • NAID

      170000184347

    • Year and Date
      2021-02-15
    • Related Report
      2021 Research-status Report
    • Peer Reviewed / Open Access
  • [Presentation] A study on factor analysis of satisfying mangoes based on adaptive design of experiments2023

    • Author(s)
      Yuka Sakamaki, Haruka Yamashita
    • Organizer
      Asia Pacific Industrial Engineering and Management Society 2023
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] Image recommendation model for Q&A questions based on sentence-BERT2023

    • Author(s)
      Yasuhito Fujisawa, Takanobu Nozawa, Jiro Iwanaga, Haruka Yamashita
    • Organizer
      Asia Pacific Industrial Engineering and Management Society
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A study on recommendation of fashion coordination posts based on image and linguistic information2023

    • Author(s)
      Risa Iwai, Ryotaro Shimizu, Haruka Yamashita
    • Organizer
      Asia Pacific Industrial Engineering and Management Society 2023
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A recommendation system of Q&A services for respondents2023

    • Author(s)
      Akira Tanihata, Haruka Yamashita
    • Organizer
      Asia Pacific Industrial Engineering and Management Society 2023
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A study on factor analysis of stock price fluctuations for evaluating the portfolio companies2023

    • Author(s)
      Shingo Kawamuwa, Sen Zhang, Kenta Nakamura, Haruka Yamashita
    • Organizer
      Asia Pacific Industrial Engineering and Management Society 2023
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] A Study on Recommender Model Based on the Neural Collaborative Ranking Model Utilizing Multiple Implicit Feedback with Ordering Relationships2023

    • Author(s)
      Ryuta Matsuoka, Akiko Yoneda, Haruka Yamashita, Masayuki Goto
    • Organizer
      Asian Network for Quaity 2023
    • Related Report
      2023 Annual Research Report
    • Int'l Joint Research
  • [Presentation] VQ-Conditional StyleGAN2によるユーザ属性情報を考慮した画像生成に関する研究2023

    • Author(s)
      大池樹,清水良太郎,山下遥
    • Organizer
      第71回日本経営システム学会全国大会
    • Related Report
      2023 Annual Research Report
  • [Presentation] Predicting Time Series Data Using Approximated LSTM Model2023

    • Author(s)
      Hua Yunkun, Haruka Yamashita
    • Organizer
      第71回日本経営システム学会全国大会
    • Related Report
      2023 Annual Research Report
  • [Presentation] 消費者属性を考慮した階層ベイズモデルによる効果的な広告配信媒体の推定と最適な広告配信先の決定2023

    • Author(s)
      薦田怜奈,山下遥
    • Organizer
      人工知能学会人工知能学会全国大会
    • Related Report
      2023 Annual Research Report
  • [Presentation] コーディネートを考慮したファッションアイテムの 推薦システムに関する研究2023

    • Author(s)
      劉越,山下遥
    • Organizer
      第71回日本経営システム学会全国大会
    • Related Report
      2023 Annual Research Report
  • [Presentation] Research on proposal of cluster-wise XGBoost model considering user diversity and its interpretation approach2022

    • Author(s)
      Kana Mitsuhashi, Ryotaro Shimizu, Haruka Yamashita
    • Organizer
      Asian Network for Quality
    • Related Report
      2022 Research-status Report
    • Int'l Joint Research
  • [Presentation] 確率的潜在クラスを導入したGeneralized Additive2 Model2022

    • Author(s)
      木村朋弘、山下遥
    • Organizer
      2022年度経営工学会秋季大会
    • Related Report
      2022 Research-status Report
  • [Presentation] ユーザの多様性を考慮したクラスタワイズ型機械学習モデルの提案とその解釈方法に関する研究2022

    • Author(s)
      三橋可奈,山下遥,清水良太郎
    • Organizer
      情報処理学会第84回全国大会
    • Related Report
      2021 Research-status Report
  • [Presentation] データの多様性を考慮したGeneralized Additive 2 Modelの提案に関する研究2021

    • Author(s)
      倉地宏典,山下遥
    • Organizer
      第67回日本経営システム学会全国研究発表大会
    • Related Report
      2021 Research-status Report

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Published: 2021-04-28   Modified: 2025-01-30  

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