Iterative Discovering of User's Preferences Using Web Mining
نویسنده
چکیده
A method of iterative preferences discovering is presented in this paper. It is based on the vector space model and a fuzzy classification of the on-line user’s session to precalculated clusters. As a result, the preference vector is created. It measures the user’s willingness to see web pages, products in an e-commerce site, masterpieces in a virtual gallery etc. Additionally, formal characteristics of the preference vector are discussed. It is shown, among others, why the fuzzy classification is better than a normal classification for preference vector construction.
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ورودعنوان ژورنال:
- IJCSA
دوره 2 شماره
صفحات -
تاریخ انتشار 2005