By Adrianna Kozierkiewicz-Hetmańska (auth.), Ngoc-Thanh Nguyen, Kiem Hoang, Piotr Jȩdrzejowicz (eds.)
The volumes set LNCS 7653 and 7654 constitutes the refereed court cases of the 4th overseas convention on Computational Collective Intelligence, ICCCI, held in Ho Chi Minh urban, Vietnam, in November 2012. The 113 revised complete papers provided have been rigorously reviewed and chosen from 397 submissions. The papers are prepared in topical sections on (Part I) wisdom integration; info mining for collective processing; fuzzy, modal, and collective platforms; nature encouraged platforms; language processing structures; social networks and semantic internet; agent and multi-agent platforms; class and clustering tools; modeling and optimization suggestions for enterprise intelligence; (Part II) multi-dimensional facts processing; internet platforms; clever determination making; tools for scheduling; collective intelligence in net structures – net platforms research; complicated information mining thoughts and purposes; cooperative challenge fixing; computational swarm intelligence; and semantic equipment for wisdom discovery and communication
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Additional info for Computational Collective Intelligence. Technologies and Applications: 4th International Conference, ICCCI 2012, Ho Chi Minh City, Vietnam, November 28-30, 2012, Proceedings, Part I
525–534. ACM, Portugal (2007) 16. : Ontology Transformation: from Requirements to Conceptual Model. In: Scientiﬁc Papers, University of Latvia, Computer Science and Information Technologies, vol. 751, pp. 52–64 (2009) 17. : Eﬃcient Bayesian Hierarchical User Modeling for Recommendation Systems. In: Proceedings of SIGIR 2007, pp. 47–54. kr Abstract. While knowledge exchange among users is rapidly increased in social networking environment, collaborative knowledge in social networking is being become more and more essential for knowledge management systems.
Consensus Methods as Tools for Data Analysis. H. ) Classification and Related Methods for Data Analysis, pp. 312–324. North-Holland (1988) 8. : Identifying, classifying, and resolving semantic conflicts in distributed heteroge-neous databases. Journal of Database Management 6, 20–32 (1994) 9. : Reconciling inconsistent profiles of agents’ knowledge states in distributed multiagent systems using consensus methods. System Science 26(4), 93–119 (2001) 10. : A Comparison Analysis of Consensus Deter-mining Using One and Two-level Methods.
In this paper, in order to determine user’s preference, we have to find out the dominant value and attribute on each profile [5,8]. For example, if a user likes to watch Action movies then dominant attribute is Genre, Table 1. User-movie profile User ID Movie ID (title) u1 i1 (Dark Angel) Genre Action, Drama, Mystery Action, Thriller Actor Jessica Alba, Michael Weatherly i2 (True Lies) Arnold Schwarzenegger, Jamie Lee Curtis i3 (Titanic) Drama, Adventure, Leonardo DiCaprio, History Kate Winslet i4 (Avatar) Sci-Fi, Action, Sam Worthington, Adventure, Fantasy Zoe Saldana i5 (Black Swan) Drama, Mystery, Natalie Portman, Thriller Mila Kunis Director Rating James Cameron, 5 Charles H.
Computational Collective Intelligence. Technologies and Applications: 4th International Conference, ICCCI 2012, Ho Chi Minh City, Vietnam, November 28-30, 2012, Proceedings, Part I by Adrianna Kozierkiewicz-Hetmańska (auth.), Ngoc-Thanh Nguyen, Kiem Hoang, Piotr Jȩdrzejowicz (eds.)