A Multi-Tiered Recommender System Architecture for Supporting E-Commerce
Contributo in Atti di convegno
Data di Pubblicazione:
2013
Citazione:
A Multi-Tiered Recommender System Architecture for Supporting E-Commerce / Palopoli, L; Rosaci, D; Sarne', G. - 446:(2013), pp. 71-81. (Intervento presentato al convegno 6TH INTERNATIONAL SYMPOSIUM ON INTELLIGENT DISTRIBUTED COMPUTING - IDC 2012 tenutosi a LAMEZIA TERME, ITALY nel 24-26 SETTEMBRE 2012) [10.1007/978-3-642-32524-3_10].
Abstract:
Nowadays, many e-Commerce tools support customers with automatic recommendations. Many of them are centralized and lack in efficiency and scalability, while other ones are distributed and require a computational overhead excessive for many devices. Moreover, all the past proposals are not ``open'' and do not allow new personalized terms to be introduced into the domain ontology. In this paper, we present a distributed recommender, based on a multi-tiered agent system, trying to face the issues outlined above. The proposed system is able to generate very effective suggestions without a too onerous computational task. We show that our system introduces significant advantages in terms of openess, privacy and security.
Tipologia CRIS:
4.1 Contributo in Atti di convegno
Elenco autori:
Palopoli, L; Rosaci, D; Sarne', G
Link alla scheda completa:
Titolo del libro:
Intelligent Distributed Computing VI
Pubblicato in: