| 基于用户意图理解的社交网络跨媒体搜索与挖掘 |
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| 引用本文： | 崔婉秋,杜军平,周南,梁美玉.基于用户意图理解的社交网络跨媒体搜索与挖掘[J].智能系统学报,2017,12(6):761-769. |
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| 作者姓名： | 崔婉秋 杜军平 周南 梁美玉 |
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| 作者单位： | 北京邮电大学 智能通信软件与多媒体北京市重点实验室, 北京 100876 |
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| 摘 要： | 随着在线社交网络的盛行，网络用户不仅对信息资讯的获取速度和实时性提出了更高的要求，对个性化和精确化的搜索需求日益增长。为了提升搜索引擎的质量以及其结果列表的准确性，需要深层次地挖掘用户搜索意图。本文分析了用户搜索意图理解在线社交网络跨媒体进行精准搜索与挖掘的研究现状，包括知识图谱在线社交网络多模态信息感知、面向用户搜索意图匹配的跨媒体大数据深度语义学习方面的应用，以及用户搜索意图理解的在线社交网络精准搜索与挖掘的应用等。最后，对未来研究存在的问题和可能面临的挑战进行了展望。
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| 关 键 词： | 在线社交网络 用户搜索意图 知识图谱 深度语义学习 精准搜索关键词 |
Social network cross-media searching and mining based on user intention |
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| CUI Wanqiu,DU Junping,ZHOU Nan,LIANG Meiyu.Social network cross-media searching and mining based on user intention[J].CAAL Transactions on Intelligent Systems,2017,12(6):761-769. |
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| Authors: | CUI Wanqiu DU Junping ZHOU Nan LIANG Meiyu |
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| Affiliation: | Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China |
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| Abstract: | With the popularity of online social networks, users not only have higher requirements for speed and real-time performance of information acquisition but also increased demand for personalized and accurate searching. To improve the quality of the search engine and accuracy of the result list, it is necessary to deeply mine the search intentions of the users. This paper summarizes the current situation in precise cross-media searching and mining based on user search intentions. We focus on multi-modal information perceptions based on an online social network knowledge graph, deep semantic learning and analysis of cross-media data for user search intention matching, and precise online social network searching and mining based on users’ search intentions. Finally, future research problems and possible challenges are discussed. |
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| Keywords: | online social network user searching intention knowledge graph deep semantic learning precise searching |
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