Constructing Web User Profiles: A non-invasive Learning Approach
نویسنده
چکیده
Our web user prooles consist of Page Interest Estimators (PIE's) and Web Access Graphs (WAG's). We discuss a non-invasive approach to estimating the user's interest of a web page without directly asking the user. A time and space eecient method is proposed for locating multi-word phrases to enrich the common bag-of-words representation for text documents. PIE's are then learned to predict the user's interest on any web page. A WAG summarizes the web page access patterns of a user. We describe how a user proole can be utilized to analyze search results and recommend new and interesting pages. Our empirical results on PIE's are encouraging.
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