Introduction to operations research, 4th ed.
Introduction to operations research, 4th ed.
Integrating information via matchmaking
Journal of Intelligent Information Systems - Special issue on intelligent integration of information
Recommendation as classification: using social and content-based information in recommendation
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Expertise recommender: a flexible recommendation system and architecture
CSCW '00 Proceedings of the 2000 ACM conference on Computer supported cooperative work
Matchmaking for autonomous agents in electronic marketplaces
Proceedings of the fifth international conference on Autonomous agents
Larks: Dynamic Matchmaking Among Heterogeneous Software Agents in Cyberspace
Autonomous Agents and Multi-Agent Systems
The description logic handbook: theory, implementation, and applications
The description logic handbook: theory, implementation, and applications
Ontological user profiling in recommender systems
ACM Transactions on Information Systems (TOIS)
A scheme for integrating concrete domains into concept languages
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 1
Interaction-Based adaptation for small screen devices
UM'05 Proceedings of the 10th international conference on User Modeling
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In this paper we present IM3 (Intelligent Mobile MatchMaker), a system that recommends tourist events to users. The system, based on a centralised server and accessible through mobile devices, matches user preferences (demand) with descriptions of tourist events (supply), in order to provide the user with information about the events that he/she is likely to be interested in. User and event descriptions in IM3 are represented with a formalism borrowed from AI and based on Description Logics; such descriptions are allowed to be incomplete in the parts that are considered irrelevant by the demander/supplier. The algorithms implemented in IM3 are able to deal with both conflicting and missing information between user and event profiles. Motivated by the nature of its application domain, IM3 can operate in a location-based fashion: it can provide the user with information related to events close to the user terminal, allowing the clients to connect via Bluetooth to registered local servers. Finally, also mobile terminals, running suitable software included in IM3, can match demand and supply profiles among them via Bluetooth, without relying on any centralised server.