Empowering recommendation technologies through argumentation

Argumentation in Artificial Intelligence

Volumn , Issue , 2009, Pages 403-422

  Chesñevar, Carlos Iván ^a   Maguitman, Ana Gabriela ^a   González, María Paula ^a,b  

^a UNIVERSIDAD NACIONAL DEL SUR   (Argentina)

^b UNIVERSITY OF LLEIDA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84885827144     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-0-387-98197-0_20     Document Type: Chapter

References (34)

1. T. Alsinet, C. Chesñevar, L. Godo, S. Sandri, and G. Simari. Formalizing argumentative reasoning in a possibilistic logic programming setting with fuzzy unification. International Journal of Approximate Reasoning, 48(3):711-729, 2008.
2. T. Alsinet, C. Chesñevar, L. Godo, and G. Simari. A logic programming framework for possibilistic argumentation: Formalization and logical properties. Fuzzy Sets and Systems, 159(10):1208-1228, 2008.
3. L. Amgoud and M. Serrurier. Agents that argue and explain classifications. Autonomous Agents and Multi-Agent Systems, 16(2):187-209, 2008.
4. M. Balabanovic and Y. Shoham. Content-based, collaborative recommendation. Communications of the ACM, 40(3):66-72, 1997. (Pubitemid 127441133)
5. T. Berners-Lee, J. Hendler, and O. Lassila. The semantic web. Scientific American,May 2001.
6. R. Brena, J. Aguirre, C. Chesñevar, E. Ramírez, and L. Garrido. Knowledge and information distribution leveraged by intelligent agents. Knowledge and Information Systems, 12(2):203-227, 2007.
7. J. Budzik, K. Hammond, and L. Birnbaum. Information access in context. Knowledge based systems, 14(1-2):37-53, 2001. (Pubitemid 32264618)
8. R. Burke. Hybrid recommender systems: Survey and experiments. User Modeling and User-Adapted Interaction, 12(4):331-370, 2002.
9. C. Chesñevar, J. McGinnis, S. Modgil, I. Rahwan, C. Reed, G. Simari, M. South, G. Vreeswijk, and S. Wilmott. Towards an argument interchange format. Knowledge Engineering Review, 21(4):293-316, 2006. (Pubitemid 44877967)
10. C. Chesñevar, A. Maguitman, and R. Loui. Logical Models of Argument. ACM Computing Surveys, 32(4):337-383, Dec. 2000.
11. C. Chesñevar, A. Maguitman, and M. Sabaté. An argument-based decision support system for assessing natural language usage on the basis of the web corpus. International Journal of Intelligent Systems (IJIS), 21(11):1151-1180, 2006. (Pubitemid 44972017)
12. C. Chesñevar, A. Maguitman, and G. Simari. Argument-Based Critics and Recommenders: A Qualitative Perspective on User Support Systems. Journal of Data and Knowledge Engineering, 59(2):293-319, 2006. (Pubitemid 44376565)
13. D. Engelbart. Augmenting human intellect: A conceptual framework. Summary report, Stanford Research Institute, on Contract AF 49(638)-1024, October 1962.
14. A. García and G. Simari. Defeasible Logic Programming: An Argumentative Approach. Theory and Practice of Logic Programming, 4(1):95-138, 2004.
15. S. Gómez, C. Chesñevar, and G. Simari. Defeasible reasoning in web-based forms through argumentation. International Journal of Information Technology and Decision Making (IJITDM), 7(1):71-101, Mar. 2008.
16. M. González, C. Chesñevar, C. Collazos, and G. Simari. Modelling shared knowledge and shared knowledge awareness in cscl scenarios through automated argumentation systems. In J. M. Haake, S. F. Ochoa, and A. Cechich, editors, CRIWG, volume 4715 of Lecture Notes in Computer Science, pages 207-222. Springer, 2007.
17. G. Governatori and A. Stranieri. Towards the application of association rules for defeasible rules discovery. In Legal Knowledge & Information Systems, pages 63-75. JURIX, IOS Press, 2001.
18. A. Hunter. Hybrid argumentation systems for structured news reports. Knowledge Engineering Review, pages 295-329, 2001.
19. J. Konstan. Introduction to recommender systems: Algorithms and evaluation. ACM Transactions on Information Systems, 22(1):1-4, 2004.
20. F. Linton, D. Joy, and H. Schaefer. Building user and expert models by long-term observation of application usage. In Proceedings of the seventh international conference on User modeling, pages 129-138. Springer-Verlag New York, Inc., 1999.
21. M. Mozina, J. Zabkar, and I. Bratko. Argument based machine learning. Artificial Intelligence, 171(10-15):922-937, 2007. (Pubitemid 47285072)
22. J. O'Donovan and B. Smyth. Trust in recommender systems. In IUI '05: Proceedings of the 10th international conference on Intelligent user interfaces, pages 167-174, New York, NY, USA, 2005. ACM.
23. M. Pazzani and D. Billsus. Content-based recommendation systems. In P. Brusilovsky, A. Kobsa and W. Nejdl, editors, The Adaptive Web, Methods and Strategies of Web Personalization, volume 4321 of Lecture Notes in Computer Science, pages 325-341. Springer, 2007. (Pubitemid 351189202)
24. H. Prakken and G. Sartor. The role of logic in computational models of legal argument: A critical survey. In A. C. Kakas and F. Sadri, editors, Computational Logic: Logic Programming and Beyond, volume 2408 of Lecture Notes in Computer Science, pages 342-381. Springer, 2002.
25. H. Prakken and G. Vreeswijk. Logical Systems for Defeasible Argumentation. In D. Gabbay and F.Guenther, editors, Handbook of Philosophical Logic, pages 219-318. Kluwer, 2002.
26. I. Rahwan. Mass argumentation and the semantic web. Journal of Web Semantics, 6(1):29-37, 2008.
27. I. Rahwan, F. Zablith, and C. Reed. Laying the foundations for a world wide argument web. Artificial Intelligence, 171(10-15):897-921, 2007. (Pubitemid 47285078)
28. J. Sandvig, B. Mobasher, and R. Burke. A survey of collaborative recommendation and the robustness of model-based algorithms. IEEE Data Engineering Bulletin, 31(2):3-13, 2008.
29. R. Schenkel, T. Crecelius, M. Kacimi, T. Neumann, J. Parreira, M. Spaniol, and G. Weikum. Social wisdom for search and recommendation. IEEE Data Engineering Bulletin, 31(2):40-49, 2008.
30. G. Simari and R. Loui. A Mathematical Treatment of Defeasible Reasoning and its Implementation. Artificial Intelligence, 53:125-157, 1992.
31. B. Verheij. Artificial argument assistants for defeasible argumentation. Artificial Intelligence, 150(1-2):291-324, 2003.
32. D.Walton. Argumentation Schemes for Presumptive Reasoning. Erlbaum,Mahwah, NJ, 1996.
33. M. Wardeh, T. Bench-Capon, and F. Coenen. Arguments from experience: The padua protocol. In P. Besnard, S. Doutre, and A. Hunter, editors, COMMA, volume 172 of Frontiers in Artificial Intelligence and Applications, pages 405-416. IOS Press, 2008.
34. P. Zhang, J. Sun, and H. Chen. Frame-based argumentation for group decision task generation and identification. Decision Support Systems, 39:643-659, 2005. (Pubitemid 40061307)