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Personalized Search on the World Wide Web

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The Adaptive Web

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4321))

Abstract

With the exponential growth of the available information on the World Wide Web, a traditional search engine, even if based on sophisticated document indexing algorithms, has difficulty meeting efficiency and effectiveness performance demanded by users searching for relevant information. Users surfing the Web in search of resources to satisfy their information needs have less and less time and patience to formulate queries, wait for the results and sift through them. Consequently, it is vital in many applications - for example in an e-commerce Web site or in a scientific one - for the search system to find the right information very quickly. Personalized Web environments that build models of short-term and long-term user needs based on user actions, browsed documents or past queries are playing an increasingly crucial role: they form a winning combination, able to satisfy the user better than unpersonalized search engines based on traditional Information Retrieval (IR) techniques. Several important user personalization approaches and techniques developed for the Web search domain are illustrated in this chapter, along with examples of real systems currently being used on the Internet.

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  1. Department of Computer Science and Automation, Artificial Intelligence Laboratory, Roma Tre University, Via della Vasca Navale, 79 - 00146 Rome, Italy

    Alessandro Micarelli, Fabio Gasparetti & Filippo Sciarrone

  2. Information & Telecommunication Technology Center, University of Kansas, 2335 Irving Hill Road, Lawrence Kansas 66045-7612,  

    Susan Gauch

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  1. Alessandro Micarelli
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Peter Brusilovsky Alfred Kobsa Wolfgang Nejdl

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Micarelli, A., Gasparetti, F., Sciarrone, F., Gauch, S. (2007). Personalized Search on the World Wide Web. In: Brusilovsky, P., Kobsa, A., Nejdl, W. (eds) The Adaptive Web. Lecture Notes in Computer Science, vol 4321. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72079-9_6

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