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A Personalized Intelligent Recommender and Annotator TEStbed for Text-Based Content Retrieval and Classification: The PIRATES Project

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 249))

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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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References

  1. Pudota, N., Dattolo, A., Baruzzo, A., Ferrara, F., Tasso, C.: Automatic keyphrase extraction and ontology mining for content-based tag recommendation. International Journal of Intelligent Systems, Special Issue: New Trends for Ontology-Based Knowledge Discovery 25, 1158–1186 (2010)

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© 2011 Springer-Verlag Berlin Heidelberg

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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

  • Online ISBN: 978-3-642-27302-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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