Visual Intents vs. Clicks, Likes, and Purchases in E-commerce

Riku Togashi, Tetsuya Sakai

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

In product-to-product search and recommendation, the product image often plays a pivotal role for the user to determine the relevance of that product. The present study investigates the relationship between the users' visual intents (in terms of colour, texture and material, and design) and the amount of user feedback (namely, clicks, likes, and purchases) using real product data and crowdsourcing. Through the analysis, we found that visual relevance (i.e., relevance of a target product with respect to a particular visual intent) correlates with the amount of user feedback, and that visual relevance can be the cause of user feedback.

本文言語English
ホスト出版物のタイトルSIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
出版社Association for Computing Machinery, Inc
ページ1869-1872
ページ数4
ISBN(電子版)9781450380164
DOI
出版ステータスPublished - 2020 7 25
イベント43rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020 - Virtual, Online, China
継続期間: 2020 7 252020 7 30

出版物シリーズ

名前SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

Conference

Conference43rd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2020
国/地域China
CityVirtual, Online
Period20/7/2520/7/30

ASJC Scopus subject areas

  • コンピュータ グラフィックスおよびコンピュータ支援設計
  • 情報システム
  • ソフトウェア

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