Mining for Web Personalization

Mining for Web Personalization

Penelope Markellou (University of Patras, Greece and Research Academic Computer Technology Institute, Greece), Maria Rigou (University of Patras, Greece and Research Academic Computer Technology Institute, Greece) and Spiros Sirmakessis (University of Patras, Greece and Research Academic Computer Technology Institute, Greece)
Copyright: © 2005 |Pages: 23
DOI: 10.4018/978-1-59140-414-9.ch002
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Abstract

The Web has become a huge repository of information and keeps growing exponentially under no editorial control, while the human capability to find, read and understand content remains constant. Providing people with access to information is not the problem; the problem is that people with varying needs and preferences navigate through large Web structures, missing the goal of their inquiry. Web personalization is one of the most promising approaches for alleviating this information overload, providing tailored Web experiences. This chapter explores the different faces of personalization, traces back its roots and follows its progress. It describes the modules typically comprising a personalization process, demonstrates its close relation to Web mining, depicts the technical issues that arise, recommends solutions when possible, and discusses the effectiveness of personalization and the related concerns. Moreover, the chapter illustrates current trends in the field suggesting directions that may lead to new scientific results.

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