Information Technology and Management
Adaptive recommendation for preferred information and browsing action based on web-browsing behavior
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part II
The framework of a people recommender based on a time series of user preferences
Proceedings of the 2012 workshop on Data-driven user behavioral modelling and mining from social media
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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.