Bulletin of the Computational Statistics of Japan
Online ISSN : 2189-9789
Print ISSN : 0914-8930
ISSN-L : 0914-8930
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DESIGN OF RECOMMENDATION SYSTEM FOR REAL-ESTATE E-COMMERCE SITE BASED ON THE CO-OCCURRENCE RELATION ANALYSIS OF SEARCH CRITERION
Kosuke OkusaKou AbeTakaya NaitoNaoto YamaguchiTakuma KadaYoshie KurodaNozomi SatoAsuka HidakaKento MoriToshinari Kamakura
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2015 Volume 28 Issue 2 Pages 147-154

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Abstract
We present the design of recommendation system for real-estate e-commerce site based on the co-occurrence relation analysis of search criterion. A study on design of recommendation system is very important role in the field of e-commerce business. In this paper, We focus on the search criterion in the e-commerce site. Assuming that each search criterion have implicit relationship. We estimate the degree of association between each search criterions using zero-inflated beta distribution. As a result, our method shows good performance in the real-estate e-commerce site.
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© 2015 Japanese Society of Computational Statistics
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