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个性化搜索引擎中用户兴趣模型的构建方法 被引量:2

Construction of User Interest Model in Personalized Search Engine
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摘要 在分析个性化搜索引擎的基础上,提出一种构建用户兴趣模型的方法.该方法综合考虑用户注册兴趣及浏览行为,将用户兴趣分为长期兴趣和短期兴趣并通过兴趣树进行存储.遗忘机制的引入保证模型能够及时准确地反映用户兴趣.模拟实验表明,本文提出的用户兴趣模型能够有效地提高检索效率,使搜索结果更好地满足用户个性化需求. This paper presents a way to construct user interest model in personalized search engine. The user interest model takes the registrated interest and user browse behavior into consideration. It consists of long-term and short-term which is stored in user interest tree. Forgetting mechanism is provided to timely refresh user interest. Simulated experiments verify the user interest model proposed in this paper is effective and competitive.
出处 《计算机系统应用》 2012年第11期1-6,共6页 Computer Systems & Applications
基金 山西大学商务学院科研基金(XS2011005)
关键词 个性化搜索引擎 用户兴趣模型 用户兴趣树 遗忘机制 personalized search engine user interest model user interest tree forgetting mechanism
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  • 1费爱蓉,穆斌,蒋建国.基于本体的XML数据集成及映射关系的研究[J].合肥工业大学学报(自然科学版),2004,27(7):804-914. 被引量:5
  • 2张宇,刘挺,文勖.基于改进贝叶斯模型的问题分类[J].中文信息学报,2005,19(2):100-105. 被引量:47
  • 3徐德智,王怀民.基于本体的概念间语义相似度计算方法研究[J].计算机工程与应用,2007,43(8):154-156. 被引量:34
  • 4Ming-Yen Chen,Hui-Chuan Chu,Yuh-Min Chen.Developing a Semantic-Enable Information Retrieval Mechanism[J].Expert Systems With Applications,2010,37(1):322-340.
  • 5Salton G,Wang A,Yang C S.A Vector Space Model for Information Retrieval[J].Journal of the American Society for Information Science,1975,18(11):613-620.
  • 6Wenlei Mao,Wesley W Chu.The Phrase-Based Vector Space Model for Automatic Retrieval of Free-Text Medical Documents[J].Data & Knowledge Engineering,2007,61(1):76-92.
  • 7林良益.发布IK Analyzer 3.0中文分词器[EB].[2009].http://inliangyi2007.javaeye.com/blog/429960.
  • 8Zhou Ning,Wu JiaXin,Zhang ShaoLong,et al.Mining Weighted Association Rules With Lacene Index[A].2007 International Conference on Wireless Communications,Networking and Mobile Computing,WiCOM 2007[C].Piscataway,United States:Inst.of Elec.and Elec.Eng.Computer Society,2007:3692-3695.
  • 9Troels Andreasen.Jrgen Fischer Nilsson.Grarmmatical Specification of Domain Ontologies[J].Data & Knowledge Engineering,2004,48(2):221-230.
  • 10John H Gennari,Mark A Musen,Ray W Fergerson,et al.The Evolution of Prot(e)g(e):An Environment for Knowledge-Based Systems Development[J].International Journal of Human-Computer Studies,2003,58(1):89-123.

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  • 1蒋萍,崔志明.智能搜索引擎中用户兴趣模型分析与研究[J].微电子学与计算机,2004,21(11):24-26. 被引量:32
  • 2阳晓萍,汤兵勇,宋月婵.个性化服务综述[J].科技情报开发与经济,2006,16(24):247-248. 被引量:5
  • 3张春元,康耀红,雷景生.基于少量示例的个性化Web信息自动获取系统(英文)[J].郑州大学学报(理学版),2006,38(4):44-49. 被引量:1
  • 4陆嘉恒.Hadoop实战[M].2版.北京:机械工业出版社,2012.
  • 5Mackenzie G G,Wu M C,Eyal M R. Predicting Preference from Fixations[J].Psychnology Journal,2009,(02):141-158.
  • 6Kai P,Antti A,Samuel K. Learning to Learn Implicit Queries from Gaze Patterns[A].2008.760-767.
  • 7Granka L A,Thorsten J,Geri K G. Eye-tracking Analysis of User Behavior in WWW Search[A].Sheffield,South Yorkshire,UK,2004.478-479.
  • 8Jeff H,Ryen W W. No Clicks,No Problem:Using Cursor Movements to Understand and Improve Search[A].2011.1225-1234.
  • 9Chen L,Pearl P. Eye-Tracking Study of User Behavior in Recommender Interfaces[A].2010.375-380.
  • 10LAM C. Hadoop in Action [ M]. Greenwich: Manning Publica- tions, 2010.

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