Sales Records Based Recommender System for TPO-Goods

• Saga Ryosuke

  Graduate School of Engineering, Osaka Prefecture University

• Tsuji Hiroshi

  Graduate School of Engineering, Osaka Prefecture University

Bibliographic Information

Other Title

• 販売履歴を用いたＴＰＯ商品向け推薦システム
• ハンバイ リレキ オ モチイタ TPO ショウヒン ムケ スイセン システム

Abstract

This paper presents a recommender system for TPO (Time, Place, and Occasion)-dependent goods. The TPO-dependent goods have three features: many attributes, multiformity, and high-frequency update. In order to recommend alternatives of the goods, our system (a) abstracts and metrizes the user's preference implied in sales records, and (b) filters massive alternatives by three kinds of methods: High-Angle Search, Low-Angle Search and Neighbor Search. Additionally, this paper describes the improvement method of the recommendation accuracy by memory-based reasoning with user's preference to latter two kinds of search. The numerical simulation for 10,000 user's data and 400,000 sales records has shown their accuracy.

Journal

• IEEJ Transactions on Electronics, Information and Systems

  IEEJ Transactions on Electronics, Information and Systems 126 (5), 661-666, 2006

  The Institute of Electrical Engineers of Japan

Keywords

• e-Commerce
• Recommender System
• Information filtering
• Memory-based Reasoning

Details

• CRID: 1390282679582059648
• NII Article ID: 10018111502
• NII Book ID: AN10065950
• DOI: 10.1541/ieejeiss.126.661
• ISSN: 13488155
• ISSN: 03854221
• NDL BIB ID: 7947329
• Web Site: https://ndlsearch.ndl.go.jp/books/R000000004-I7947329
• Web Site: http://www.jstage.jst.go.jp/article/ieejeiss/126/5/126_5_661/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • NDL
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed