Modeling Recommendation as a Social Choice Problem (Contributo in atti di convegno)

Type

• Contributo in atti di convegno (Classe)
• Prodotto della ricerca (Classe)

Label

• Modeling Recommendation as a Social Choice Problem (Contributo in atti di convegno) (literal)

Anno

• 2010-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1145/1864708.1864779 (literal)

Alternative label

• M. Albanese; A. d'Acierno; V. Moscato; F. Persia; A. Picariello (2010)
  Modeling Recommendation as a Social Choice Problem
  in 4th ACM Recommender Systems Conference, RecSys 2010; Barcelona;26 September 2010 - 30 September 2010, Barcellona, 2010
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• M. Albanese; A. d'Acierno; V. Moscato; F. Persia; A. Picariello (literal)

Pagina inizio

• 329 (literal)

Pagina fine

• 332 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#titoloVolume

• RecSys'10 - Proceedings of the 4th ACM Conference on Recommender Systems (literal)

Note

• Scopu (literal)
• Google Scholar (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Massimiliano Albanese, University of Maryland, College Park, MD, USA Antonio d'Acierno, ISA-CNR, Avellino, Italy Vincenzo Moscato, University of Naples, Naples, Italy Fabio Persia, University of Naples, Naples, Italy Antonio Picariello, University of Naples, Naples, Italy (literal)

Titolo

• Modeling Recommendation as a Social Choice Problem (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn

• 978-1-60558-906-0 (literal)

Abstract

• In the classical theory of social choice, a set of voters is called to rank a set of alternatives and a social ranking of the alternatives is generated. In this paper, we model rec- ommendation in the context of browsing systems as a social choice problem, where the set of voters and the set of al- ternatives both coincide with the set of objects in the data collection. We then propose an importance ranking method that strongly resembles the well known PageRank ranking system, and takes into account both the browsing behavior of the users and the intrinsic features of the objects in the collection. We apply the proposed approach in the context of multimedia browsing systems and show that it can gen- erate effective recommendations and can scale well for large data collections. (literal)

Prodotto di

• Sistemi per la gestione e classificazione di dati biologici (INT.P02.014.004) (Modulo)
• Institute of food sciences (ISA) (Istituto)

Autore CNR

• ANTONIO D'ACIERNO (Persona)

Insieme di parole chiave

• Keywords of "Modeling Recommendation as a Social Choice Problem" (Insieme di parole chiave)

Incoming links:

Prodotto

• Institute of food sciences (ISA) (Istituto)
• Sistemi per la gestione e classificazione di dati biologici (INT.P02.014.004) (Modulo)

Autore CNR di

• ANTONIO D'ACIERNO (Persona)

Insieme di parole chiave di

• Keywords of "Modeling Recommendation as a Social Choice Problem" (Insieme di parole chiave)