Constructing Web User Profiles: A Non-invasive Learning Approach

by: Philip Chan

Web Usage Analysis and User Profiling (2000), pp. 39-55.

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Abstract

Our web user profiles 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 efficient 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 profile can be utilized to analyze search results and recommend new and interesting pages. Our empirical results on PIE’s are encouraging.

@incollection{citeulike:2863681, abstract = {Our web user profiles 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 efficient 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 profile can be utilized to analyze search results and recommend new and interesting pages. Our empirical results on PIE’s are encouraging.}, author = {Chan, Philip }, citeulike-article-id = {2863681}, doi = {http://dx.doi.org/10.1007/3-540-44934-5\_3}, journal = {Web Usage Analysis and User Profiling}, keywords = {preference}, pages = {39--55}, posted-at = {2008-07-15 20:02:11}, priority = {2}, title = {Constructing Web User Profiles: A Non-invasive Learning Approach}, url = {http://dx.doi.org/10.1007/3-540-44934-5\_3}, year = {2000} }

RIS record

TY - CHAP ID - citeulike:2863681 L3 - citeulike-article-id:2863681 TI - Constructing Web User Profiles: A Non-invasive Learning Approach JF - Web Usage Analysis and User Profiling SP - 39 EP - 55 N2 - Our web user profiles 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 efficient 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 profile can be utilized to analyze search results and recommend new and interesting pages. Our empirical results on PIE’s are encouraging. KW - preference AU - Chan, Philip PY - 2000/// UR - http://dx.doi.org/10.1007/3-540-44934-5_3 ER -

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