Abstract
This paper presents the PIRATES (Personalized Intelligent Recommender and Annotator TEStbed for text-based content retrieval and classification) Project. This project faces the information overload problem by taking into account semantic and social issues: an integrated set of tools allow the users to customize and personalize the way they retrieve, filter, and organize Web resources.
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Ferrara, F., Tasso, C. (2011). A Personalized Intelligent Recommender and Annotator TEStbed for Text-Based Content Retrieval and Classification: The PIRATES Project. In: Agosti, M., Esposito, F., Meghini, C., Orio, N. (eds) Digital Libraries and Archives. IRCDL 2011. Communications in Computer and Information Science, vol 249. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27302-5_19
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DOI: https://doi.org/10.1007/978-3-642-27302-5_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27301-8
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