Research progress and development trend of online social network smart search

被引：1
|
作者：
Jia, Yan [1 ]
Gan, Liang [1 ]
Li, Ai-Ping [1 ]
Xu, Jing [1 ]
机构：
[1] School of Computer Science, National University of Defense Technology, Changsha
来源：
Tongxin Xuebao/Journal on Communications | 2015年 / 36卷 / 12期
基金：
中国国家自然科学基金;
关键词：
Big search of social network; Comprehension of search intension; Intelligent solution; Social network; Solution matching;
D O I：
10.11959/j.issn.1000-436x.2015310
中图分类号：
学科分类号：
摘要：
In the era of Web 2.0 as the representative of online social network, the requirement of Web search has been far beyond the ability of Web 1.0 search engines, for that data has a pattern of polymorphism, rapid generation, dynamic interaction, fragmentation, change and other characteristics, these new features to search engine technology has brought revolutionary and subversive challenges. The research progressed technical essentials of online social network search are induced. Three main contents of OSN smart search were studied, including the understanding and reasoning of the wisdom and knowledge, the understanding and the expression of user's real intention, and online response of user's real intention. And then, the key technologies and the development trend of online social network search are discussed. © 2015, Editorial Board of Journal on Communications. All right reserved.
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页数：8
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  • [1] Page L., Brin S., Motwani R., Et al., The PageRank citation ranking: bringing order to the web, Stanford Info Lab, pp. 1-14, (1999)
  • [2] Kleinberg J., Authoritative sources in a hyperlinked environment, Journal of the ACM, 46, 5, pp. 604-632, (1999)
  • [3] Chang F., Dean J., Ghemawat S., Bigtable: A distributed storage system for structured data, ACM Transactions on Computer Systems, 26, 2, pp. 205-218, (2008)
  • [4] Decandia G., Hastorun D., Jampani M., Dynamo: Amazon's highly available key-value store, SOSP'07, pp. 205-220, (2007)
  • [5] Cooper B.F., Ramakrishnan R., Srivastava U., Et al., PNUTS: Yahoo's hosted data serving platform, Proceedings of the VLDB Endowment, 1, 2, pp. 1277-1288, (2008)
  • [6] Blei D., Ng A., Jordan M., Latent dirichlet allocation, Journal of Machine Learning Research, 3, pp. 993-1022, (2003)
  • [7] Lin C.X., Mei Q., Han J., Et al., The joint inference of topic diffusion and evolution in social communities, IEEE 11th International Conference on Data Mining (ICDM), pp. 378-387, (2011)
  • [8] Sayyadi H., Raschid L., A graph analytical approach for topic detection, ACM Transactions on Internet Technology (TOIT), 13, 2, pp. 992-999, (2013)
  • [9] Mark N., Elizabeth L., Mixture models and exploratory analysis in networks, Proc Natl Acad Sci, 104, 23, pp. 9564-9569, (2007)
  • [10] Chakrabarti D., Kumar R., Tomkins A., Evolutionary clustering, Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, pp. 554-560, (2006)
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