publication . Preprint . 2000

Applying Maxi-adjustment to Adaptive Information Filtering Agents

Lau, Raymond; ter Hofstede, Arthur H. M.; Bruza, Peter D.;
Open Access English
  • Published: 06 Mar 2000
Abstract
Comment: The 8th Intl. Workshop on Non-Monotonic Reasoning NMR'2000, Belief Change, 9 pages
Subjects
free text keywords: Computer Science - Artificial Intelligence, Computer Science - Multiagent Systems, I.2.3, I.2.11, H.3.3
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33 references, page 1 of 3

[Alchourr´on, G¨ardenfors, & Makinson 1985] Alchourr´on, C.; G¨ardenfors, P.; and Makinson, D. 1985. On the logic of theory change: partial meet contraction and revision functions. Journal of Symbolic Logic 50:510-530.

[Allan 1996] Allan, J. 1996. Incremental relevance feedback for information filtering. In Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Filtering, 270-278.

[Armstrong et al. 1995] Armstrong, R.; Freitag, D.; Joachims, T.; and Mitchell, T. 1995. Webwatcher: A [Balabanovic 1997] Balabanovic, M. 1997. An adaptive web page recommendation service. In Johnson, W. L., and Hayes-Roth, B., eds., Proceedings of the First International Conference on Autonomous Agents (Agents'97), 378-385. New York: ACM Press.

[Billsus & Pazzani 1999] Billsus, D., and Pazzani, M.

1999. A personal news agent that talks, learns and explains. In Proceedings of the Third International Conference on Autonomous Agents (Agents'99), 268- 275. Seattle, WA: ACM Press.

[Bruza & Huibers 1994] Bruza, P., and Huibers, T.

1994. Investigating Aboutness Axioms Using Information Fields. In Croft, W., and Rijsbergen, C. v., eds., Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 112-121. Dublin, Ireland: Springer-Verlag.

[Buckley, Salton, & Allan 1994] Buckley, C.; Salton, G.; and Allan, J. 1994. The effect of adding relevance information in a relevance feedback environment. In Proceedings of the Seventeenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Routing, 292- 300. [OpenAIRE]

[Chiaramella & Chevallet 1992] Chiaramella, Y., and Chevallet, J. P. 1992. About retrieval models and logic. The Computer Journal 35(3):233-242. [OpenAIRE]

[Dubois, Lang, & Parade 1993] Dubois, D.; Lang, J.; and Parade, H. 1993. Possibilistic Logic. In Gabbay, D. M.; Hogger, C. J.; Robinson, J. A.; and Nute, D., eds., Handbook of Logic in Artificial Intelligence and Logic Programming, volume 3. Oxford: Oxford University Press. 439-513.

[Dubois, Lang, & Prade 1994] Dubois, D.; Lang, J.; and Prade, H. 1994. Automated Reasoning using Possibilistic Logic: Semantics, Belief Revision, and Variable Certainty Weights. IEEE Transactions on Knowledge and Data Engineering 6(1):64-71.

[G¨ardenfors & Makinson 1988] G¨ardenfors, P., and Makinson, D. 1988. Revisions of knowledge systems using epistemic entrenchment. In Vardi, M. Y., ed., Proceedings of the Second Conference on Theoretical Aspects of Reasoning About Knowledge, 83-95. San Francisco, CA: Morgan Kaufmann Inc.

[G¨ardenfors & Makinson 1994] G¨ardenfors, P., and Makinson, D. 1994. Nonmonotonic inference based on expectations. Artificial Intelligence 65(2):197-245. [OpenAIRE]

[G¨ardenfors 1988] G¨ardenfors, P. 1988. Knowledge in flux: modeling the dynamics of epistemic states. Cambridge, Massachusetts: The MIT Press.

[G¨ardenfors 1992] G¨ardenfors, P. 1992. Belief revision: An introduction. In G¨ardenfors, P., ed., Belief Revision. Cambridge, UK: Cambridge University Press.

33 references, page 1 of 3
Abstract
Comment: The 8th Intl. Workshop on Non-Monotonic Reasoning NMR'2000, Belief Change, 9 pages
Subjects
free text keywords: Computer Science - Artificial Intelligence, Computer Science - Multiagent Systems, I.2.3, I.2.11, H.3.3
Download from
33 references, page 1 of 3

[Alchourr´on, G¨ardenfors, & Makinson 1985] Alchourr´on, C.; G¨ardenfors, P.; and Makinson, D. 1985. On the logic of theory change: partial meet contraction and revision functions. Journal of Symbolic Logic 50:510-530.

[Allan 1996] Allan, J. 1996. Incremental relevance feedback for information filtering. In Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Filtering, 270-278.

[Armstrong et al. 1995] Armstrong, R.; Freitag, D.; Joachims, T.; and Mitchell, T. 1995. Webwatcher: A [Balabanovic 1997] Balabanovic, M. 1997. An adaptive web page recommendation service. In Johnson, W. L., and Hayes-Roth, B., eds., Proceedings of the First International Conference on Autonomous Agents (Agents'97), 378-385. New York: ACM Press.

[Billsus & Pazzani 1999] Billsus, D., and Pazzani, M.

1999. A personal news agent that talks, learns and explains. In Proceedings of the Third International Conference on Autonomous Agents (Agents'99), 268- 275. Seattle, WA: ACM Press.

[Bruza & Huibers 1994] Bruza, P., and Huibers, T.

1994. Investigating Aboutness Axioms Using Information Fields. In Croft, W., and Rijsbergen, C. v., eds., Proceedings of the 17th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 112-121. Dublin, Ireland: Springer-Verlag.

[Buckley, Salton, & Allan 1994] Buckley, C.; Salton, G.; and Allan, J. 1994. The effect of adding relevance information in a relevance feedback environment. In Proceedings of the Seventeenth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Routing, 292- 300. [OpenAIRE]

[Chiaramella & Chevallet 1992] Chiaramella, Y., and Chevallet, J. P. 1992. About retrieval models and logic. The Computer Journal 35(3):233-242. [OpenAIRE]

[Dubois, Lang, & Parade 1993] Dubois, D.; Lang, J.; and Parade, H. 1993. Possibilistic Logic. In Gabbay, D. M.; Hogger, C. J.; Robinson, J. A.; and Nute, D., eds., Handbook of Logic in Artificial Intelligence and Logic Programming, volume 3. Oxford: Oxford University Press. 439-513.

[Dubois, Lang, & Prade 1994] Dubois, D.; Lang, J.; and Prade, H. 1994. Automated Reasoning using Possibilistic Logic: Semantics, Belief Revision, and Variable Certainty Weights. IEEE Transactions on Knowledge and Data Engineering 6(1):64-71.

[G¨ardenfors & Makinson 1988] G¨ardenfors, P., and Makinson, D. 1988. Revisions of knowledge systems using epistemic entrenchment. In Vardi, M. Y., ed., Proceedings of the Second Conference on Theoretical Aspects of Reasoning About Knowledge, 83-95. San Francisco, CA: Morgan Kaufmann Inc.

[G¨ardenfors & Makinson 1994] G¨ardenfors, P., and Makinson, D. 1994. Nonmonotonic inference based on expectations. Artificial Intelligence 65(2):197-245. [OpenAIRE]

[G¨ardenfors 1988] G¨ardenfors, P. 1988. Knowledge in flux: modeling the dynamics of epistemic states. Cambridge, Massachusetts: The MIT Press.

[G¨ardenfors 1992] G¨ardenfors, P. 1992. Belief revision: An introduction. In G¨ardenfors, P., ed., Belief Revision. Cambridge, UK: Cambridge University Press.

33 references, page 1 of 3
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