Title: Study on user preferences modelling based on web mining

Authors: Hongwei Wang; Yu Liu; Pei Yin

Addresses: School of Economics and Management, Tongji University, 1239 Siping Road, Yangpu District, Shanghai, 200092, China. ' School of Economics and Management, Tongji University, 1239 Siping Road, Yangpu District, Shanghai, 200092, China. ' School of Economics and Management, Tongji University, 1239 Siping Road, Yangpu District, Shanghai, 200092, China

Abstract: In view of the needs of e-commerce website for recommendation system, user interest is divided into long-term interest and short-term interest, furthermore, based on long-term interest and short-term interest, a way to describe user-s preferences is proposed. Utilising the data from the web server database, using unsupervised learning, user's registration information can be fully mined to abstract user's long-term interest. Based on vector mapping, both the records data and content data on the server log is analysed to abstract user's short-term interest. Moreover, the rough profile presenting user's preferences can be modified by dealing with user's feedback, making updating user's preferences profile possible. Case analysis illustrates that to a certain extent this method is reasonable and feasible.

Keywords: web mining; data mining; long-term interest; short-term interest; user preferences; user profiles; preference modelling; vector mapping; e-commerce; recommendation systems; electronic commerce.

DOI: 10.1504/IJITM.2012.049995

International Journal of Information Technology and Management, 2012 Vol.11 No.4, pp.307 - 322

Received: 30 Mar 2011
Accepted: 11 Oct 2011
Published online: 09 Aug 2014 *

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