Intelligence without representation
Artificial Intelligence
Yenta: a multi-agent, referral-based matchmaking system
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Peer-to-peer based recommendations for mobile commerce
WMC '01 Proceedings of the 1st international workshop on Mobile commerce
An evidential model of distributed reputation management
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 1
Social ReGreT, a reputation model based on social relations
ACM SIGecom Exchanges - Chains of commitment
PocketLens: Toward a personal recommender system
ACM Transactions on Information Systems (TOIS)
Coping with inaccurate reputation sources: experimental analysis of a probabilistic trust model
Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems
Agents Selecting Trustworthy Recommendations in Mobile Virtual Communities
Trust in Agent Societies
ToothAgent: a multi-agent system for virtual communities support
AOIS'06 Proceedings of the 8th international Bi conference on Agent-oriented information systems IV
| Hi-index | 0.00 |
Current major P2P systems focus on PCs and do not provide services for the mobile environment. Compared to traditional P2P, characteristics of Mobile P2P include unreliable connections, limited bandwidth and constraints of mobile devices. In addition, nomadic users demand applications and services that are context-aware, personalised, secure, and trustworthy. Recommender systems are one of these applications. In this paper, we aim at building a mobile P2P recommender system which dramatically reduces wireless traffic between peers, brings trustworthiness (each peer can choose to rely on opinions of peers whom he trusts), and ffers unobtrusiveness (the target system is mainly autonomous and requires a minimum user intervention). Our solution is based on multi-agent systems and is illustrated on a slow-food restaurant recommender system.