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An E-commerce Recommender System Using Measures of Specialty Shops

  • Daisuke Kitayama
  • Motoki Zaizen
  • Kazutoshi Sumiya
Chapter

Abstract

The use of online shopping sites, such as Amazon and Rakuten, has increased in recent years. Many stores now offer online shops, with the categories of the shop items representing various intended uses. For example, a flashlight may be used for camping or emergencies, so this item may be listed under categories such as “Outdoors” or “Emergency Supplies” in the shop. In this paper, we aim to build a recommender system for specialty shops based on the viewpoints of items browsed by users. We first extract the viewpoints of browsed items by using the category structures of online shops. Thereafter, we analyze the category structures and the selection of goods to determine specialty shops.

Keywords

Category structure Degree of specialty E-commerce Evaluation measure Online shopping Recommender system 

Notes

Acknowledgments

This research was supported in part by the Grant-in-Aid for Young Scientists (B) 24700098 from the Ministry of Education, Culture, Sports, Science, and Technology of Japan.

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Copyright information

© Springer Science+Business Media Dordrecht 2015

Authors and Affiliations

  • Daisuke Kitayama
    • 1
  • Motoki Zaizen
    • 2
  • Kazutoshi Sumiya
    • 3
  1. 1.Kogakuin UniversityShinjuku, TokyoJapan
  2. 2.Micware Co., LtdKobe, HyogoJapan
  3. 3.University of HyogoHimeji, HyogoJapan

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