Home |  English version |  Mappa |  Commenti |  Sondaggio |  Staff |  Contattaci Cerca nel sito  
Istituto di scienza dell'alimentazione

Torna all'elenco Contributi in atti di convegno anno 2010

Contributo in atti di convegno

Tipo: Contributo in atti di convegno

Titolo: A Ranking Method for Multimedia Recommenders

Anno di pubblicazione: 2010

Formato: Cartaceo

Autori: M. Albanese; A. d’'Acierno; V. Moscato; F. Persia; A. Picariello

Affiliazioni autori: Massimiliano Albanese, University of Maryland, College Park, MD Antonio d'Acierno, ISA-CNR, Avellino, Italy Vincenzo Moscato, University of Naples, Napoli, Italy Fabio Persia, University of Naples, Napoli, Italy Antonio Picariello, University of Naples, Napoli, Italy

Autori CNR:

  • ANTONIO D'ACIERNO

Lingua: inglese

Abstract: In the last few years, recommender systems have gained sig- ni¯cant attention in the research community, due to the in- creasing availability of huge data collections, such as news archives, shopping catalogs, or virtual museums. In this scenario, there is a pressing need for applications to pro- vide users with targeted suggestions to help them navigate this ocean of information. However, no much eŽort has yet been devoted to recommenders in the ¯eld of multimedia databases. In this paper, we propose a novel approach to rec- ommendation in multimedia browsing systems, based on an importance ranking method that strongly resembles the well known PageRank ranking system. We model recommenda- tion as a social choice problem, and propose a method that computes customized recommendations by originally comb- ing intrinsic features of multimedia objects, past behavior of individual users and overall behavior of the entire commu- nity of users. We implemented a prototype of the proposed system and preliminary experiments have shown that our approach is promising.

Lingua abstract: inglese

ISBN: 978-1-4503-0117-6

DOI: 10.1145/1816041.1816087

Referee: Sė: Internazionale

Indicizzato da: Scopus [2-s2.0-77955855283]

Congresso nome: ACM International Conference on Image and Video Retrieval (CIVR'10)

Congresso rilevanza: Internazionale

Congresso relazione: Contributo

Strutture CNR:

Moduli:

 
Torna indietro Richiedi modifiche Invia per email Stampa
Home Il CNR  |  I servizi News |   Eventi | Istituti |  Focus