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Extending Content-Based Recommendation by Order-Matching and Cross-Matching Methods

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Electronic Commerce and Web Technologies (EC-Web 2000)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1875))

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Abstract

We propose TwinFinder: a recommender system for an on-line bookstore. TwinFinder provides two recommendation methods, the Order-Matching Method (OMM) and the Cross-Matching Method (CMM). TwinFinder profiles a customer’s interest based on his/her purchase history. Thus, it generates a vector of keywords from titles, authors, synopses, and categories of books purchased. OMM keeps this vector to each category the books belong to. Thus, OMM avoids recommending books that share only one or two keywords but belong to the categories in which the customer has no interest. When a customer has purchased several books that range over two or more categories, TwinFinder generates recommendations based on CMM. CMM looks for books in a category based on the keywords generated from the purchased books in other categories. Thus, TwinFinder can generate rather useful and surprising recommendations by OMM and CMM. We have implemented and validated TwinFinder in the e-business system of a bookstore in Japan.

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Author information

Authors and Affiliations

  1. NTT DATA Corp., Shinjyuku ParkTower 24F 3-7-1 Nishi-Shinjyuku Shinjyuku-ku, Tokyo, 163-1024, Japan

    Yasuo Hirooka

  2. University of Tsukuba, 3-29-1 Otsuka, Bunkyo-ku, Tokyo, 112-0012, Japan

    Takao Terano

  3. Skysoft Inc., 2-7-24 Nihonbashi Chuo-ku, Tokyo, 103-0027, Japan

    Yukichi Otsuka

Authors
  1. Yasuo Hirooka
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  2. Takao Terano
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  3. Yukichi Otsuka
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Editor information

Editors and Affiliations

  1. IFI, University of Zürich, Winterthurer Str. 190, 8057, Zürich, Switzerland

    Kurt Bauknecht

  2. Department of Computer Science, Purdue University, West Lafayette, IN, 47907, USA

    Sanjay Kumar Madria

  3. Department of Information Systems, University of Essen, Universitätsstr. 9, 45141, Essen, Germany

    Günther Pernul

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© 2000 Springer-Verlag Berlin Heidelberg

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Hirooka, Y., Terano, T., Otsuka, Y. (2000). Extending Content-Based Recommendation by Order-Matching and Cross-Matching Methods. In: Bauknecht, K., Madria, S.K., Pernul, G. (eds) Electronic Commerce and Web Technologies. EC-Web 2000. Lecture Notes in Computer Science, vol 1875. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44463-7_16

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  • DOI: https://doi.org/10.1007/3-540-44463-7_16

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-67981-3

  • Online ISBN: 978-3-540-44463-3

  • eBook Packages: Springer Book Archive

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