期刊文献+

多任务中文Web查询分析 被引量:1

An Analysis of Multitasking Chinese Web Searches
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摘要 用户在使用Web搜索引擎进行信息查询时,可能包含单个或多个主题。该文针对大规模中文搜索引擎系统——北大天网的多任务Web查询,进行了研究和分析。结果显示:多于1/3的用户进行多任务Web查询;超过1/2的多任务会话包含2个不同的主题并进行2~7次查询;多任务会话时间的均值是一般会话时间均值的2倍;天网用户的多任务查询主要有3个主题:计算机,娱乐和教育;近1/4的多任务会话中包含不确定的信息。该文用关联分析的方法发现了用户查询主题之间的一些关系。 The Web queries submitted to search engines usually involves single or multiple topics. This paper investigates and analyzes the characteristics of multitasking Chinese Web searches based on the query logs of Tianwang system, a large-scale Chinese search engine. The results shows: More than one third of users often perform multitasking Web searching; More than half of multitasking sessions include two topics, with two to seven queries per session; The mean duration of multitasking sessions is twice that of regular sessions; Most multitasking searches in Tianwang systems have three topics: computer/network, entertainment and education; Nearly one fourth of multitasking sessions include inexplicit information. In addition, this paper also carries out the analysis of association rule and finds some relationships among session topics.
出处 《计算机工程》 CAS CSCD 北大核心 2006年第14期25-26,68,共3页 Computer Engineering
基金 国家自然科学基金资助重点项目(60435020) 教育部博士点基金(20030001076) 中国博士后科学基金(2004036182)
关键词 搜索引擎 中文Web查询 多任务 关联规则 Search engine Chinese Web search Multitasking Association rule
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参考文献4

  • 1王继民,陈翀,彭波.大规模中文搜索引擎的用户日志分析[J].华南理工大学学报(自然科学版),2004,32(z1):1-5. 被引量:24
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二级参考文献5

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共引文献23

同被引文献6

  • 1王继民,陈翀,彭波.大规模中文搜索引擎的用户日志分析[J].华南理工大学学报(自然科学版),2004,32(z1):1-5. 被引量:24
  • 2余慧佳,刘奕群,张敏,等.基于大规模日志分析的网络搜索引擎用户行为研究[C]//第三届学生计算语言学研讨会.沈阳:[出版者不详],2006.
  • 3Jansen B J, Spink A, Saracevic T. Real Life, Real Users, and Real Needs: A Study and Analysis of User Queries on the Web[J]. Information Processing and Management, 2000, 36(2): 207-227.
  • 4Silverstein C, Marais H, Henzinger M, et al. Analysis of a Very Large Web Search Engine Query Log[J]. SIGIR Forum, 1999, 33(1): 6-12.
  • 5Xie Yinglian, O'Hallaron D R. Locality in Search Engine Queries and Its Implications for Caching[C]//Proc. of INFOCOM'02. New York, USA: IEEE Press, 2002: 1238-1247.
  • 6王建勇,单松巍,雷鸣,谢正茂,李晓明.海量Web搜索引擎系统中用户行为的分布特征及其启示[J].中国科学(E辑),2001,31(4):372-384. 被引量:45

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