Multiagent truth maintenance applied to a tourism recommender system

Tourism Informatics: Visual Travel Recommender Systems, Social Communities, and User Interface Design

Volumn , Issue , 2009, Pages 54-72

  Lorenzi, Fabiana ^a,b   Bazzan, Ana L C ^a   Abel, Mara ^a  

^a FEDERAL UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

^b UNIVERSIDADE LUTERANA DO BRASIL   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 80052023422     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-60566-818-5.ch004     Document Type: Chapter

References (20)

1. Al-Nazer, A., & Helmy, T. (2007). A Web searching guide: Internet search engines and autonomous interface agents collaboration. In Proceedings of the wi-iatw, Los Alamitos, CA, USA (pp. 424-428).
2. Ambite, J. L., Knoblock, C. A., Muslea, M., & Minton, S. (2005). Conditional constraint networks for interleaved planning and information gathering. IEEE Intelligent Systems, 20(2), 25-33. doi:10.1109/MIS.2005.24
3. Balabanovic, M., & Shoham, Y. (1997). Fab: Content-based, collaborative recommendation. Communications of the ACM, 40(3), 66-72. doi:10.1145/245108.245124
4. Buffett, S., Keping, J., Liu, S., Spencer, B., & Wang, F. (2004). Negotiating exchanges of P3P-labeled information for compensation. Computational Intelligence, 20(4), 663-677. doi:10.1111/j.0824-7935.2004.00259.x
5. Burke, R. (2000). Knowledge-based recommender systems. In J. E. Daily, A. Kent, & H. Lancour (Eds.), Encyclopedia of library and information science. New York: Marcel Dekker.
6. Camacho, D., Molina, J. M., Borrajo, D., & Aler, R. (2002). MAPWEB: Cooperation between planning agents and Web agents. Information & Security, 8(2), 209-238.
7. deKleer, J. (1986). An assumption-based tms, extending the ATMS, and problem solving with the ATMS. Artificial Intelligence, 28(2), 127-224. doi:10.1016/0004-3702(86)90080-9
8. Doyle, J. (1979). A truth maintenance system. Artificial Intelligence, 12(3), 231-272. doi:10.1016/0004-3702(79)90008-0
9. Huhns, M. N., & Bridgeland, D. M. (1991). Multiagent truth maintenance, IEEE Transactions on Systems, Man, and Cybernetics, 21(6), 1437-1445. doi:10.1109/21.135687
10. Lorenzi, F., & Ricci, F. (2005). Case-based recommender systems: A unifying view. In Intelligent techniques for Web personalization (pp. 89-113). Berlin, Germany: Springer.
11. Macho, S., Torrens, M., & Faltings, B. (2000). A multi-agent recommender system for planning meetings. InProceedings of the Workshop On Agent-Based Recommender Systems (WARS'2000).
12. Maes, P. (1994). Agents that reduce work and information overload. Communications of the ACM, 37(7), 30-40. doi:10.1145/176789.176792
13. Mason, C., & Johnson, R. R. (1989). DATMS: A framework for distributed assumption based reasoning. Distributed Artificial Intelligence, 2, 293-317.
14. Montaner, M., Lopez, B., & De la Rosa, J. L. (2003). A taxonomy of recommender agents on the Internet. Artificial Intelligence Review, 19(4), 285-330. doi:10.1023/A:1022850703159
15. Resnick, P., Iacovou, N., Suchak, M., Bergstrom, P., & Riedl, J. (1994). GroupLens: An open architecture for collaborative filtering of netnews. InProceedings of the ACM Conference On Computer-Supported Cooperative Work (pp. 175-186).
16. Ricci, F. (2002). Travel recommender systems. IEEE Intelligent Systems, 17(6), 55-57.
17. Smyth, B. (2007). Case-based recommendation. In The adaptive Web (pp. 342-376). Berlin, Germany: Springer.
18. Torrens, M., Faltings, B., & Pu, P. (2002). SmartClient: Constraint satisfaction as a paradigm for scaleable intelligent information systems. Constraints: An International Journal, 7(1), 49-69. doi:10.1023/A:1017940426216
19. Watson, I. (1997). Applying case-based reasoning: Techniques for enterprise systems. San Francisco: Morgan Kaufmann.
20. Wu, S., Ghenniwa, H., Zhang, Y., & Shen, W. (2006). Personal assistant agents for collaborative design environments. [f]Computers in Industry, 57(8), 732-739. doi:10.1016/j.com-pind.2006.04.010