REBECCA: A Trust-Based Filtering to Improve Recommendations for B2C e-Commerce
Contributo in Atti di convegno
Data di Pubblicazione:
2014
Citazione:
REBECCA: A Trust-Based Filtering to Improve Recommendations for B2C e-Commerce / Rosaci, D; Sarne', G. - 511:(2014), pp. 31-36. ( 7th International Symposium on Intelligent Distributed Computing - IDC 2013 Prague, Czech Republic 04-06/09/2013) [10.1007/978-3-319-01571-2_5].
Abstract:
Recommender systems usually support B2C e-Commerce activities without to provide e-buyers with information about the reputation of both products and interlocutors. To provide B2C traders with suggestions taking into account gossips, in this paper we present REBECCA, a fully decentralized trust-based B2C recommender system that also guarantees scalability and privacy. Some experiments show the advantages introduced by REBECCA in generating more effective suggestions.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Elenco autori:
Rosaci, D; Sarne', G
Link alla scheda completa:
Titolo del libro:
Intelligent Distributed Computing VII
Pubblicato in: