The Scent of a Newsgroup: Providing Personalized Access to Usenet Sites through Web Mining

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Author(s): Giuseppe Manco (Italian National Research Council, Italy), Riccardo Ortale (University of Calabria, Italy)and Andrea Tagarelli (University of Calabria, Italy)
Copyright: 2009
Pages: 22
Source title: Handbook of Research on Text and Web Mining Technologies
Source Author(s)/Editor(s): Min Song (New Jersey Institute of Technology, USA)and Yi-Fang Brook Wu (New Jersey Institute of Technology, USA)
DOI: 10.4018/978-1-59904-990-8.ch034

Keywords: Data Mining / Data Mining and Databases / Information Science Reference / Library & Information Science

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Abstract

Personalization is aimed at adapting content delivery to users’ profiles: namely, their expectations, preferences and requirements. This chapter surveys some well-known Web mining techniques that can be profitably exploited in order to address the problem of providing personalized access to the contents of Usenet communities. We provide a rationale for the inadequacy of current Usenet services, given the actual scenario in which an increasing number of users with heterogeneous interests look for information scattered over different communities. We discuss how the knowledge extracted from Usenet sites (from the content, the structure and the usability viewpoints) can be suitably adapted to the specific needs and expectations of each user.

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