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Product Recommendation in e-Commerce Using Direct and Indirect Confidence for Historical User Sessions

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Discovery Science (DS 2004)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3245))

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Abstract

Product recommendation is an important part of current electronic commerce. Useful, direct and indirect relationships between pages, especially product home pages in an e-commerce site, can be extracted from web usage i.e. from historical user sessions. The proposed method introduces indirect association rules complementing typical, direct rules, which, in the web environment, usually only confirm existing hyperlinks. The direct confidence, the basic measure of direct association rules, reflects pages’ co-occurrence in common user sessions, while the indirect confidence exploits an additional, transitive page and relationships existing between, not within sessions. The complex confidence, combining both direct and indirect relationships, is engaged in the personalized process of product recommendation in e-commerce. Carried out experiments have confirmed that indirect association rules can deliver the useful knowledge for recommender systems.

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Author information

Authors and Affiliations

  1. Department of Information Systems, Wroclaw University of Technology, Wybrzeże S. Wyspiańskiego 27, 50-370, Wroclaw, Poland

    Przemysław Kazienko

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  1. Przemysław Kazienko
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Editors and Affiliations

  1. Department of Informatics, Graduate School of Information Science and Electrical Engineering, Kyushu University, 744 Motooka, Nishi, 819-0395, Fukuoka, Japan

    Einoshin Suzuki

  2. Kyushu University, 6–10–1 Hakozaki Higashi-ku, 812–8581, Fukuoka, Japan

    Setsuo Arikawa

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Kazienko, P. (2004). Product Recommendation in e-Commerce Using Direct and Indirect Confidence for Historical User Sessions. In: Suzuki, E., Arikawa, S. (eds) Discovery Science. DS 2004. Lecture Notes in Computer Science(), vol 3245. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30214-8_20

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  • DOI: https://doi.org/10.1007/978-3-540-30214-8_20

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23357-2

  • Online ISBN: 978-3-540-30214-8

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