A Collaborative Recommender System: Lexicographic Consensus and Web Usage Mining Approach

Collaborative filtering (CF) is one of the most successful and widely used methods of automated product recommendation domain. For today's large e-commerce sites, it is more recommended to use implicit ratings for constructing the customer profile. It relaxes the burden of preference specificat...

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Bibliographic Details
Published inInternational Information Institute (Tokyo). Information Vol. 16; no. 7; p. 4833
Main Authors Lee, Seok Kee, Kim, Young-Gab, Lee, Do-Gil
Format Journal Article
LanguageEnglish
Published Koganei International Information Institute 01.07.2013
Subjects
Behavior
Collaboration
Customers
Electronic commerce
Preferences
Ratings & rankings
Recommender systems
Shopping
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Summary:Collaborative filtering (CF) is one of the most successful and widely used methods of automated product recommendation domain. For today's large e-commerce sites, it is more recommended to use implicit ratings for constructing the customer profile. It relaxes the burden of preference specification imposed on customers. In this paper, we propose a new CF-based recommendation methodology that constructs an ordinal scale-based customer profile under the implicit ratings condition. An experiment with the Web transaction data from a real online shopping mall shows that the proposed method performs better than existing CF methodologies. [PUBLICATION ABSTRACT]
ISSN:1343-4500
1344-8994