E-Commerce recommender systems provide customers with useful suggestions about available products. However, in presence of a high number of interactions between customers and Web sites, the generation of recommendations can become a heavy task. Moreover, customers often navigate on the Web using different devices whose different characteristics may influence customer's preferences. In this paper we propose a new multi-agent system in which each device exploited by a customer is associated with a software agent which autonomously monitors the customer's behaviour. The use of device agents leads to generate recommendations taking into account the exploited device, while the fully decentralized architecture introduces a strong reduction of the time costs.

A Multi-Agent Recommender System for Supporting Device Adaptivity in E-Commerce / Rosaci, D; Sarne', G. - 162:(2008), pp. 293-298. (Intervento presentato al convegno 2ND INTERNATIONAL SYMPOSIUM ON INTELLIGENT DISTRIBUTED COMPUTING - IDC 2008 tenutosi a CATANIA (ITALY) nel 18-20/09/2008) [10.1007/978-3-540-85257-5_33].

A Multi-Agent Recommender System for Supporting Device Adaptivity in E-Commerce

ROSACI D;SARNE' G
2008-01-01

Abstract

E-Commerce recommender systems provide customers with useful suggestions about available products. However, in presence of a high number of interactions between customers and Web sites, the generation of recommendations can become a heavy task. Moreover, customers often navigate on the Web using different devices whose different characteristics may influence customer's preferences. In this paper we propose a new multi-agent system in which each device exploited by a customer is associated with a software agent which autonomously monitors the customer's behaviour. The use of device agents leads to generate recommendations taking into account the exploited device, while the fully decentralized architecture introduces a strong reduction of the time costs.
2008
978-3-540-85256-8
E-commerce; Multi-agent systems; Recommender systems
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.12318/13720
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