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

  • Felice Ferrara
  • Carlo Tasso
Part of the Communications in Computer and Information Science book series (CCIS, volume 249)


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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 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)CrossRefMATHGoogle Scholar
  2. 2.
    Minio, M., Tasso, C.: User modeling for information filtering on internet services: Exploiting an extended version of the umt shell. In: 5th UM Inter. Conf. UM for Information Filtering on the WWW (1996)Google Scholar
  3. 3.
    Ferrara, F., Tasso, C.: Extracting and Exploiting Topics of Interests from Social Tagging Systems. In: Bouchachia, A. (ed.) ICAIS 2011. LNCS, vol. 6943, pp. 285–296. Springer, Heidelberg (2011)CrossRefGoogle Scholar
  4. 4.
    Casoto, P., Dattolo, A., Tasso, C.: Sentiment classification for the italian language: A case study on movie reviews. Journal of Internet Technology 9, 365–373 (2008)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Felice Ferrara
    • 1
  • Carlo Tasso
    • 1
  1. 1.Department of Mathematics and Computer ScienceUniversity of UdineItaly

Personalised recommendations