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Title:
study on segmentation of user's query intents
Author: Jiang Xue ; Sun Le
Keyword: Data mining ; Decision trees ; Search engines
Source: Jisuanji Xuebao/Chinese Journal of Computers
Issued Date: 2013
Volume: 36, Issue:3, Pages:664-670
Indexed Type: EI
Department: (1) Institute of Software Chinese Academy of Sciences Beijing 100190 China
Abstract: 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.
English Abstract: 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.
Language: 中文
Content Type: 期刊论文
URI: http://ir.iscas.ac.cn/handle/311060/15631
Appears in Collections:软件所图书馆_期刊论文

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Recommended Citation:
Jiang Xue,Sun Le. study on segmentation of user's query intents[J]. Jisuanji Xuebao/Chinese Journal of Computers,2013-01-01,36(3):664-670.
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