ISCAS OpenIR
study on segmentation of user's query intents
Jiang Xue; Sun Le
2013
发表期刊Jisuanji Xuebao/Chinese Journal of Computers
ISSN0254-4164
卷号36期号:3页码:664-670
摘要Query intent denotes the specific information that user wants to look for when he submit a query to a search engine. If search engine can judge whether the intent of current query is same as that of previous query, they would refine current query and offer users more accurate results and services, such as query suggestion, query expansion or personalized information retrieval. This paper proposed click data-based similarity, and this similarity is effective with decision tree model and CRF model. Users' click data is helpful for this task, with users' click data, F-measure is improved by 1% and 1.4% for decision tree-based method and CRF-based method respectively.; Query intent denotes the specific information that user wants to look for when he submit a query to a search engine. If search engine can judge whether the intent of current query is same as that of previous query, they would refine current query and offer users more accurate results and services, such as query suggestion, query expansion or personalized information retrieval. This paper proposed click data-based similarity, and this similarity is effective with decision tree model and CRF model. Users' click data is helpful for this task, with users' click data, F-measure is improved by 1% and 1.4% for decision tree-based method and CRF-based method respectively.
收录类别EI
关键词Data Mining Decision Trees Search Engines
部门归属(1) Institute of Software Chinese Academy of Sciences Beijing 100190 China
语种中文
内容类型期刊论文
URI标识http://ir.iscas.ac.cn/handle/311060/15631
专题中国科学院软件研究所
推荐引用方式
GB/T 7714
Jiang Xue,Sun Le. study on segmentation of user's query intents[J]. Jisuanji Xuebao/Chinese Journal of Computers,2013,36(3):664-670.
APA Jiang Xue,&Sun Le.(2013).study on segmentation of user's query intents.Jisuanji Xuebao/Chinese Journal of Computers,36(3),664-670.
MLA Jiang Xue,et al."study on segmentation of user's query intents".Jisuanji Xuebao/Chinese Journal of Computers 36.3(2013):664-670.
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