Multiagent systems: a modern approach to distributed artificial intelligence
Multiagent systems: a modern approach to distributed artificial intelligence
Automated Negotiation and Decision Making in Multiagent Environments
EASSS '01 Selected Tutorial Papers from the 9th ECCAI Advanced Course ACAI 2001 and Agent Link's 3rd European Agent Systems Summer School on Multi-Agent Systems and Applications
PolyLens: a recommender system for groups of users
ECSCW'01 Proceedings of the seventh conference on European Conference on Computer Supported Cooperative Work
An Introduction to MultiAgent Systems
An Introduction to MultiAgent Systems
Users' satisfaction in recommendation systems for groups: an approach based on noncooperative games
Proceedings of the 22nd international conference on World Wide Web companion
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Recommendation can be defined as the problem of selecting, among a set of items, those ones that are likely of interest to the user. In case of a group of users, recommendations should satisfy, as far as possible, the preferences of all the group members. In order to elicit the group preferences, we present two different mechanisms: the first one consists in a voting procedure whereas the second is based on a negotiation procedure. In both cases, intelligent agents act on behalf of the group members. The experimental results show the pros and cons of both approaches and highlight which of the two mechanisms returns the highest-valued recommendation for the whole group in each case. Moreover, we also study which approach is able to reflect more easily the different behaviour of each user, which is also an important aspect in group recommendation.