Preserving privacy in Web recommender systems (Contributo in volume (capitolo o saggio))

Type
Label
  • Preserving privacy in Web recommender systems (Contributo in volume (capitolo o saggio)) (literal)
Anno
  • 2010-01-01T00:00:00+01:00 (literal)
Alternative label
  • Perego R.; Baraglia R.; Lucchese C.; Orlando S.; Silvestri F. (2010)
    Preserving privacy in Web recommender systems
    in Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques, 2010
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Perego R.; Baraglia R.; Lucchese C.; Orlando S.; Silvestri F. (literal)
Pagina inizio
  • 369 (literal)
Pagina fine
  • 389 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#citta
  • London (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.crcpress.com/product/isbn/9781439803653 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume
  • Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • In: Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques. pp. 1 - 21. Francesco Bonchi, Elena Ferrari (eds.). (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series). London: CRC Press by Taylor & Francis, 2010. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 21 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
  • The rapid growth of the Web has led to the development of new solu- tions in the Web recommender or personalization domain, aimed to assist users in satisfying their information needs. The main goal of this chapter is to survey some of the recommender system proposals appeared in the literature, and to evaluate these pro- posals from the point of view of privacy preservation. Then, as an ex- ample of privacy-preserving approach for recommendations, we present πSUGGEST, a privacy-enhanced system that allows for creating serendip- ity recommendations without breaching users privacy. πSUGGEST helps users to navigate though a Web site, by providing dynamically generated links to relevant pages that have not yet been visited. The knowledge base on which the model used for making recommendations is built, is incrementally updated without tracking user sessions. This feature is par- ticularly important when users do not trust the system, and do not want disclose their complete activ (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-ISTI, Pisa, Dipartimento di Informatica, Università Ca' Foscari di Venezia (literal)
Titolo
  • Preserving privacy in Web recommender systems (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#inCollana
  • Privacy-Aware Knowledge Discovery: Novel Applications and New Techniques (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 9781439803653 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatoriVolume
  • Francesco Bonchi, Yahoo! Research, Barcelona, Spain; Elena Ferrari, University of Insubria, Italy (literal)
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