By a News Reporter-Staff News Editor at Robotics & Machine Learning -- Data detailed on Machine Learning have been presented. According to news reporting originating in Kyoto, Japan, by VerticalNews journalists, research stated, "People use a variety of social networking services to collect and organize web information for future reuse. When such contents are actually needed as reference to reply a post in an online conversation, however, the user may not be able to retrieve them with proper cues or may even forget their existence at all."
The news reporters obtained a quote from the research from Kyoto University, "In this paper, we study this problem in the online conversation context and investigate how to automatically retrieve the most context-relevant previously-seen web information without user intervention. We propose a Context-aware Personal Information Retrieval (CPIR) algorithm, which considers both the participatory and implicit-topical properties of the context to improve the retrieval performance. Since both the context and the user's web information are usually short and ambiguous, the participatory context is utilized to formulate and expand the query. Moreover, the implicit-topical context is exploited to implicitly determine the importance of each web information of the targeting user in the given context."
According to the news reporters, the research concluded: "The experimental results using real-world dataset demonstrate that CPIR can achieve significant improvements over several baselines."
For more information on this research see: Context-Aware Personal Information Retrieval From Multiple Social Networks. IEEE Computational Intelligence Magazine, 2014;9(2):18-28. IEEE Computational Intelligence Magazine can be contacted at: Ieee-Inst Electrical Electronics Engineers Inc, 445 Hoes Lane, Piscataway, NJ 08855-4141, USA. (Institute of Electrical and Electronics Engineers - www.ieee.org/; IEEE Computational Intelligence Magazine - ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=33585)
Our news correspondents report that additional information may be obtained by contacting X.G. Han, Kyoto University, Kyoto, Japan. Additional authors for this research include W. Wei, C.Y. Miao, J.P. Mei and H.J. Song.
Keywords for this news article include: Asia, Kyoto, Japan, Machine Learning
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