A Customer Profile Model for Collaborative Recommendation in e-Commerce

Autor:	Hyeon Jo, Sungyong Chun, Seok-Kee Lee
Rok vydání:	2011
Předmět:	Product (business) Information retrieval Web mining Customer profile business.industry Ordinal Scale Data mining Business E-commerce computer.software_genre Lexicographical order computer Preference
Zdroj:	The Journal of the Korea Contents Association. 11:67-74
ISSN:	1598-4877
DOI:	10.5392/jkca.2011.11.5.067
Popis:	Collaborative recommendation is one of the most widely used methods of automated product recommendation in e-Commerce. For analyzing the customer`s preference, traditional explicit ratings are less desirable than implicit ratings because it may impose an additional burden to the customers of e-commerce companies which deals with a number of products. Cardinal scales generally used for representing the preference intensity also ineffective owing to its increasing estimation errors. In this paper, we propose a new way of constructing the ordinal scale-based customer profile for collaborative recommendation. A Web usage mining technique and lexicographic consensus are employed. An experiment shows that the proposed method performs better than existing CF methodologies.
Databáze:	OpenAIRE
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