Abstract
With the advent of Web 2.0, Social Computing has emerged as one of the hot research topics recently. Social Computing involves the collecting, extracting, accessing, processing, computing, visualizing, etc. of social signals and information. More specifically, this tutorial places special emphases in machine learning, data mining, information retrieval, and other computational techniques involved in collective intelligence processing of social behavior data collected from blogs, wikis, clickthrough data, query logs, tags, etc., and from areas such as social networks, social search, social media, social bookmarks, social news, social knowledge sharing, and social games. In this tutorial, I plan to give an introduction to Social Computing and elaborate on how the various characteristics and aspects are involved in the social platforms for collective intelligence. The topics include social network theory and modeling, graph mining, query log processing, learning to rank, recommender systems, human computation, etc. The tutorial is prepared for machine learning, web mining, and information retrieval researchers who are interested in computational approaches to social computing.
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Xin, X., King, I., Lyu, M.R., Deng, H.: A social recommendation framework based on multi-scale continuous conditional random fields. In: Proceedings to the ACM 18th Conference on Information and Knowledge Management (CIKM2009), Hong Kong, China, November 2-9, pp. 1247–1256. ACM, New York (2009)
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Ma, H., Lyu, M., King, I.: Learning to recommend with trust and distrust relationships. In: Proceedings to the 3rd ACM Conference on Recommender Systems, New York City, NY, USA, October 22-25 (accepted)
Yuen, M.-C., Chen, L.-J., King, I.: A survey of human computation systems. In: Proceedings of the 2009 International Symposium on Social Computing Applications (SCA 2009), 12th IEEE International Conference on Computational Science and Engineering (CSE2009), Vancouver, Canada, August 29-31, pp. 723–728. IEEE Computer Society, Los Alamitos (2009)
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Deng, H., King, I., Lyu, M.R.: Entropy-biased models for query representation on the click graph. In: Allan, J., Aslam, J.A., Sanderson, M., Zhai, C., Zobel, J. (eds.) Proceedings to the 32nd Annucal ACM SIGIR Conference (SIGIR2009), Boston, MA, July 19-23, pp. 339–346. ACM Press, New York (2009)
Deng, H., Lyu, M.R., King, I.: A generalized co-hits algorithm and its application to bipartite graphs. In: The Proceedings to the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2009), Paris, France, June 28-July 1 (2009)
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King, I. (2010). Introduction to Social Computing. In: Kitagawa, H., Ishikawa, Y., Li, Q., Watanabe, C. (eds) Database Systems for Advanced Applications. DASFAA 2010. Lecture Notes in Computer Science, vol 5982. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12098-5_55
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DOI: https://doi.org/10.1007/978-3-642-12098-5_55
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