Study on user preferences modelling based on web mining

Hongwei Wang, Yu Liu and Pei Yin

International Journal of Information Technology and Management, 2012, vol. 11, issue 4, 307-322

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. (search for similar items in EconPapers)
Date: 2012
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