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Truth Maintenance Task Negotiation in Multi-agent Recommender System for Tourism (2007)
| Content Provider | CiteSeerX |
|---|---|
| Author | Lorenzi, Fabiana Bazzan, Ana L. C. Abel, Mara |
| Description | This paper describes a multiagent recommender ap-proach based on the collaboration of multiple agents exchanging information stored in their local knowledge bases. A recommendation request is divided into sub-tasks handled by different agents, each one maintaining incomplete information that may be useful to compose a recommendation. Each agent has a Distributed Truth Maintenance component that helps to keep the integrity of its knowledge base. Further, we show a case study in the tourism domain where agents collaborate to recom-mend a travel package to the user. In order to help the coordination among the agents during the recommenda-tion, the Distributed Constraint Optimization approach is applied in the search process. Proceedings of AAAI workshop on Intelligent Techniques for Web Personalization and recommender Systems in Ecommerce, ACM, NY |
| File Format | |
| Language | English |
| Publisher Date | 2007-01-01 |
| Access Restriction | Open |
| Subject Keyword | Different Agent Tourism Domain Recommendation Request Multiagent Recommender Ap-proach Incomplete Information Truth Maintenance Task Negotiation Truth Maintenance Component Multi-agent Recommender System Travel Package Search Process Knowledge Base Distributed Constraint Optimization Approach Multiple Agent Local Knowledge Base Case Study |
| Content Type | Text |
| Resource Type | Article |
