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2008
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SEARCHY: An Agent to Personalize Search Results

9 years 4 months ago
SEARCHY: An Agent to Personalize Search Results
—User’s behaviour in browsing sessions is a valuable source of information useful to analyze user interests and personalize the human-computer interaction during information seeking tasks. In this paper we present a simple way to machine-learn user profile and employ it to improve Web searches. Searchy is a personal agent, embedded in the Web browser, able to sense user’s tastes, to assist her/him during query formulation phase and, finally, to filter and sort the results according to the user’s needs. Searchy uses the DART P2P network to store user's profiles in order to enable collaborative recommendations.
Ivan Marcialis, Emanuela De Vita
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICIW
Authors Ivan Marcialis, Emanuela De Vita
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