| 国内外社会化标签挖掘研究综述 |
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| 引用本文： | 蒋盛益,陈东沂,王连喜,庞观松,杨博泓.国内外社会化标签挖掘研究综述[J].图书情报工作,2014,58(21):136-145. |
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| 作者姓名： | 蒋盛益 陈东沂 王连喜 庞观松 杨博泓 |
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| 作者单位： | 1. 广东外语外贸大学信息学院;
2. 广东外语外贸大学图书馆;
3. 语言工程与计算广东省社会科学重点实验室;
4. 澳大利亚莫纳什大学信息学院 |
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| 基金项目： | 本文系广东省普通高校科技创新项目"网络社区检测及应用研究"(项目编号:2012KJCX0049)和广东省自然科学基金项目"不确定网络舆情突发事件的预警决策指标选择与应急决策"(项目编号:S2013010013050)研究成果之一。 |
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| 摘 要： | 简述社会化标签的相关背景和内涵;重点梳理国内外社会化标签挖掘的主要成果,一方面归纳社会化标签分析、社会化标签推荐及基于社会化标签的个性化推荐等方法,另一方面概述利用社会化标签增强信息检索功能、发现潜在信息、改进传统分类法和辅助构建本体等方面的应用,并总结当前研究存在的不足;然后,概括社会化标签挖掘在相关领域的应用;最后总结全文,对社会化标签挖掘的未来发展方向进行展望。
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| 关 键 词： | 社会化标签 标签推荐 个性化推荐 信息检索 |
| 收稿时间： | 2014-09-02 |
A Review on Social Tags Mining Study in China and Abroad |
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| Jiang Shengyi,Chen Dongyi,Wang Lianxi,Pang Guansong,Yang Bohong.A Review on Social Tags Mining Study in China and Abroad[J].Library and Information Service,2014,58(21):136-145. |
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| Authors: | Jiang Shengyi Chen Dongyi Wang Lianxi Pang Guansong Yang Bohong |
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| Institution: | 1. School of Informatics, Guangdong University of Foreign Studies, Guangzhou 510006;
2. Library, Guangzhou University of Foreign Studies, Guangzhou 510420;
3. Social Science Key Laboratory of Language Engineering and Computing of Guangdong Province, Guangzhou 510006;
4. Faculty of Information Technology, Monash University, Melbourne, VIC 3800 |
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| Abstract: | This paper introduces the related background and conception of social tags. Then it presents the current research achievements on social tags mining at home and abroad. On the one hand it summarizes methods including social tags analysis, social tags recommendation and social tag-based personal recommendation, and on the other hand it sketches out that exploiting social tags helps improving information retrieval, discovering potential interests, building ontology and enhancing traditional classification. And it also concludes the existing drawbacks. Further, it discusses the applications of social tags mining on some related domains. With a summarization, it finally looks to the future development on social tags mining. |
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| Keywords: | social tags tag recommendation personalized recommendation information retrieval |
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