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2007
Springer

User Profiles for Personalized Information Access

11 years 11 months ago
User Profiles for Personalized Information Access
Abstract. The amount of information available online is increasing exponentially. While this information is a valuable resource, its sheer volume limits its value. Many research projects and companies are exploring the use of personalized applications that manage this deluge by tailoring the information presented to individual users. These applications all need to gather, and exploit, some information about individuals in order to be effective. This area is broadly called user profiling. This chapter surveys some of the most popular techniques for collecting information about users, representing, and building user profiles. In particular, explicit information techniques are contrasted with implicitly collected user information using browser caches, proxy servers, browser agents, desktop agents, and search logs. We discuss in detail user profiles represented as weighted keywords, semantic networks, and weighted concepts. We review how each of these profiles is constructed and give examp...
Susan Gauch, Mirco Speretta, Aravind Chandramouli,
Added 06 Jun 2010
Updated 06 Jun 2010
Type Conference
Year 2007
Where ADAPTIVE
Authors Susan Gauch, Mirco Speretta, Aravind Chandramouli, Alessandro Micarelli
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