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2003

Information Filtering Using the Dynamics of the User Profile

9 years 7 months ago
Information Filtering Using the Dynamics of the User Profile
This paper presents an adaptive algorithm for learning the user profile. The user profile is learned incrementally and continuously based on user’s initial profile, his actions and on semantic interpretation of queries using hypernyms extracted by WordNet. A novel model, time - words vector hyperspace, is introduced in order to keep track of the user’s interests changes. This new model is achieved by adding a temporal dimension to the classical vector hyperspace model. The results of the retrieval experiments using this new algorithm show an improved effectiveness over the current information retrieval techniques. Keywords. User profile, information filtering, information retrieval
Costin Barbu, Marin Simina
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2003
Where FLAIRS
Authors Costin Barbu, Marin Simina
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