A Dynamic Content Generator for Adaptation in Hypermedia Systems
AH '08 Proceedings of the 5th international conference on Adaptive Hypermedia and Adaptive Web-Based Systems
MUADDIB: A distributed recommender system supporting device adaptivity
ACM Transactions on Information Systems (TOIS)
Dependable Recommendations in Social Internetworking
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
MARS: an agent-based recommender system for the semantic web
DAIS'07 Proceedings of the 7th IFIP WG 6.1 international conference on Distributed applications and interoperable systems
A Neural Network Hybrid Recommender System
Proceedings of the 2011 conference on Neural Nets WIRN10: Proceedings of the 20th Italian Workshop on Neural Nets
A multi-agent recommender system for supporting device adaptivity in e-Commerce
Journal of Intelligent Information Systems
Cloning mechanisms to improve agent performances
Journal of Network and Computer Applications
MIMOSA: context-aware adaptation for ubiquitous web access
Personal and Ubiquitous Computing
Multi-agent technology and ontologies to support personalization in B2C E-Commerce
Electronic Commerce Research and Applications
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A user that navigates on the Web using different devices should be characterized by a global profile, which represents his behaviour when using all these devices. Then, the user's profile could be usefully exploited when interacting with a site agent that is able to provide useful recommendations on the basis of the user's interests, on one hand, and to adapt the site presentation to the device currently exploited by the user, on the other hand. However, it is not suitable to construct such a global profile by a software running on the exploited device since this device (e.g., a mobile phone or a palmtop) may have limited resources. Therefore, in this paper, we propose a multi-agent architecture, called MASHA, handling user and device adaptivity of Web sites, in which each device is provided with a client agent that autonomously collects information about the user's behaviour associated to just that device. However, the user profile contained in this client is continuously updated with information coming from a unique server agent, associated with the user. Such information is collected by the server agent from the different devices exploited by the user, and represents a global user profile. The third component of this architecture, called adapter agent, is capable to generate a personalized representation of the Web site, containing some useful recommendations derived by both an analysis of the user profile and the suggestions coming from other users exploiting the same device.