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Author Li, Jia ♦ Zaïane, Osmar R. ♦ Zaïane, Jialiandosmarr.
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Web User ♦ Structure Data ♦ Web Recommender System ♦ Improve Web Site Recommendation
Description Web recommender systems anticipate the needs of web users and provide them with recommendations to personalize their navigation.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2004-01-01
Publisher Institution In 5th International Conference on Electronic Commerce and Web Technologies (EC-Web