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Title:      SEMANTIC COMPARISON OF KEYWORDS AGGREGATES
Author(s):      Christian Belbèze , Chantal Soulé-dupuy , Max Chevalier
ISBN:      978-972-8924-79-9
Editors:      Miguel Baptista Nunes, Pedro Isaías and Philip Powell
Year:      2009
Edition:      Single
Keywords:      Search community, query, graph, semantic coherence, user log file, search engine.
Type:      Full Paper
First Page:      161
Last Page:      168
Language:      English
Cover:      cover          
Full Contents:      click to dowload Download
Paper Abstract:      In the context of information access in the social Web (Information Access 2.0), we present an original method to build automatically and dynamically users’ communities based on past search queries. These “search communities” can for instance be used by any user to find relevant query terms or to find any other online user to discuss about his information needs. The proposed approach has been experimented in order to compare its results concerning particularly the semantic coherence of obtained communities. These experiments exploit the aol.com search engine log.
   

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