通信学报 ›› 2015, Vol. 36 ›› Issue (12): 9-16.doi: 10.11959/j.issn.1000-436x.2015310

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社交网络智慧搜索研究进展与发展趋势

贾焰,甘亮,李爱平,徐菁   

  1. 国防科学技术大学 计算机学院,湖南 长沙 410073
  • 出版日期:2015-12-25 发布日期:2017-07-17
  • 基金资助:
    国家重点基础研究发展计划(“973”计划)基金资助项目;国家重点基础研究发展计划(“973”计划)基金资助项目;国家重点基础研究发展计划(“973”计划)基金资助项目;国家自然科学基金资助项目;国家自然科学基金资助项目

Research progress and development trend of online social network smart search

Yan JIA,Liang GAN,Ai-ping LI,Jing XU   

  1. School of Computer Science,National University of Defense Technology,Changsha 410073,China
  • Online:2015-12-25 Published:2017-07-17
  • Supported by:
    The National Basic Research and Development Program of China (973 Program);The National Basic Research and Development Program of China (973 Program);The National Basic Research and Development Program of China (973 Program);The National Natural Science Foundation of China;The National Natural Science Foundation of China

摘要:

在以社交网络为代表的Web 2.0时代,搜索需求已经远超出Web 1.0搜索引擎的能力范畴,数据具有模式多态、快速产生、动态交互、碎片化、变化演绎等特点,这些新特点给搜索引擎技术带来了革命性和颠覆性的挑战。归纳了在线社交网络智慧搜索研究进展和技术要点,分析了研究发展过程将面临3个主要问题:在线社交网络中智慧与知识的发掘与推演、用户真实搜索意图的理解与表示以及满足用户真实意图的智慧解答在线响应,并以解决此3个问题为目标讨论了相关技术发展。

关键词: 社交网络, 社交网络大搜索, 意图理解, 匹配求解, 智慧解答

Abstract:

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.

Key words: social network, big search of social network, comprehension of search intension, solution matching