Journal of the Korean Operations Research and Management Science Society (한국경영과학회지)

The Korean Operations Research and Management Science Society (한국경영과학회)
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Toward Socially Agreeable Aggregate Functions for Group Recommender Systems

Group Recommender System을 위한 구성원 합의 도출 함수에 관한 연구

  • Ok, Chang-Soo (Department of Industrial Engineering, Pennsylvania State University) ;
  • Lee, Seok-Cheon (School of Industrial Engineering, Purdue University) ;
  • Jeong, Byung-Ho (Department of Industrial Engineering, The Research Center of Industrial technology, Chonbuk University)
  • Published : 2007.12.31
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Abstract

In ubiquitous computing, shared environments are required to adapt to people intelligently. Based on information about user preferences, the shared environments should be adjusted so that all users in a group are satisfied as possible. Although many group recommender systems have been proposed to obtain this purpose, they only consider average and misery. However, a broad range of philosophical approaches suggest that high inequality reduces social agreeability, and consequently causes users' dissatisfactions. In this paper, we propose social welfare functions, which consider inequalities in users' preferences, as alternative aggregation functions to achieve a social agreeability. Using an example in a previous work[7], we demonstrate the effectiveness of proposed welfare functions as socially agreeable aggregate functions in group recommender systems.

Keywords

References

  1. Ardissono, L., Goy, A., Petrone, G., Segnan, M. and Torasso, P., 'INTRIGUE : personalized recommendation of tourist attractions for desktop and handset devices,' Applied Artificial Intelligence, Vol.19(2003), pp.687- 714
  2. Chao, D.L., J. Balthrop, and Forrest, S., 'Adaptive Radio : Achieving consensus using negative preferences,' presented at Proc. 2005 International ACM SIGGROUP Conference on Supporting Group Work, New York (2005), pp.120-123
  3. Crossen, A., 'Flytrap : Intelligent group music recommendation,' presented at Proceedings of IUI' 2002, New York(2002), pp.184-185
  4. Dagum, C., 'On the relatioinship between income inequality measures and social welfare functions,' Journal of Economics Theory, Vol.43, No.1-2(1990), pp.91-102
  5. Diaconis, P. and Graham, R.L., 'Spearman's footrule as a measure of disarray,' Journal of the Royal Statistical Society, Series B (Methodological), Vol.39, No.2(1977), pp. 262-268
  6. Ha, V. and P. Haddawy, 'Toward Case- Based Preference Elicitation : Similarity Measure on Preference Structures,' presented at In Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, Madiason, WI (1998), pp.193-201
  7. Masthoff, J., 'Group modeling : selecting a sequence of television items to suit a group of viewers,' User Modeling and User Adapted Interaction, Vol.14, No.1(2004), pp. 37-85 https://doi.org/10.1023/B:USER.0000010138.79319.fd
  8. Masthoff, J., 'The Pursuit of Satisfaction : Affective State in Group Recommender Systems,' LNAI 3538, Vol.3538(2005), pp. 297-306
  9. McCarthy, J.F. and Anagnost, T.D., 'Music FX : An arbiter of group preferences for computer supported collaborative workouts,' presented at Proc. ACM 1998 Conference on Computer Supported Cooperative Work(1998), pp.363-372
  10. McCarthy, J.F. and T.D. Anagnost, 'Music FX: An arbiter of group preferences for computer supported collaborative workouts,' presented at Proc. ACM 1998 Conference on Computer Supported Cooperative Work(Seattle), pp.363-372
  11. Mukherjee, R., P. Dutta, and S. Sen, 'MOVIES2GO- a new approach to online movie recommendation,' presented at IJCAI Workshop on Intelligent Techniques for Web Personalization, Seattle, WA, USA (2001)
  12. O'Conner, M., D. Cosley, J.A. Konstan, and J. Riedl, 'PolyLens : A recommender system for groups of users,' presented at Proc. Seventh European Conference on Computer Supported Cooperative Work, New York (2001), pp.199-218
  13. Rohatgi, V.K., An Introduction to Probability Theory and Mathematical Statistics: John Wiley and Sons, Inc., 1976
  14. Russell, D., N. Streitz, and T. Winograd, 'Building disappearing computers,' Communications of the ACM, Vol.48, No.3(2005) https://doi.org/10.1145/1096000.1096012
  15. Sen, A.K., Choice, Welfare, and Measurement : Oxford : Basil Blackwell, 1982
  16. Sen, A.K. and J.E. Foster, On Economic Inequality : Oxford : Clarendon Press, 1997
  17. Tandler, P., N. Streitz, and T. Prante, 'Roomware- Moving toward ubiquitous computers,' IEEE Micro, Nov./Dec. (2002), pp.36- 47
  18. Wei, Y., L. Moreau, and N. Jennings, 'A market-based approach to recommender systems,' ACM Transactions on Information Systems, Vol.23, No.3(2005), pp.227-266 https://doi.org/10.1145/1080343.1080344
  19. Weiser, M., 'The computer for the 21st century,' Scientific American, Vol.265, No.3 (1991), pp.94-104
  20. Williams, J.G., 'Strategic wage goods, prices, and inequality,' American Economic Review, Vol.67, No.2(1977), pp.29-41
  21. Yu, Z., Y. Hao, X. Zhou, and J. Gu, 'TV program recommendation for multiple viewers based on user profile merging,' User Modeling and User Adapted Interaction, Vol. 16(2006), pp.63-82 https://doi.org/10.1007/s11257-006-9005-6