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confs:kavli2010 [2010/09/04 04:49]
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confs:kavli2010 [2010/09/04 06:47] (current)
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==== Abstract ==== ==== 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. +The introduction of Web 2.0 paves the way for the emergence of the novel social computing paradigm, where computing based on human interactions plays a central and important role in harnessing the information and knowledge from the crowd.  More specifically, human computation has become a potent tool in solving complex problems that are still post good challenges to today's computers through the use of interactive games or as outsourced tasks. In this presentation, I will provide an introduction to the social computing framework and some of its related topics.  I will then focus on human computation systems.  With the  innovative human computing paradigm, various interesting applications will be presented to demonstrate how it can leverage the collective crowd intelligence to tackle difficult computational problems.
==== Research Interests ==== ==== Research Interests ====
-Irwin King's research interests include machine learning, web intelligence & social computing, data mining, and multimedia processing, including image, video, and text.  More specifically, he is interested in applying learning techniques in social computing, e.g., large graph algorithms, ranking problems, Q&A systems, etc.  One notable system he has developed is the VeriGuide System, which detects similar sentences and performs readability analysis of text-based documents in both English and in Chinese.+Irwin King's research interests include machine learning, social computing, data mining, and multimedia processing.  More specifically, he is interested in applying learning techniques in collecting, analyzing, extracting, processing, visualizing, etc. behavior information of the crow such as social network analyses, large graph algorithms, ranking problems, community-based Q&A systems, etc.  Furthermore, he is the technology architect behind the VeriGuide System, which detects similar sentences and performs readability analysis of text-based documents in both English and in Chinese.
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  * [[http://en.wikipedia.org/wiki/Human-based_computation|Wikipedia's Human-based Computation]]   * [[http://en.wikipedia.org/wiki/Human-based_computation|Wikipedia's Human-based Computation]]
==== Presentation Materials ==== ==== Presentation Materials ====
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