标题:Understanding Temporal Intent of User Query Based on Time-Based Query Classification
作者:Ren, Pengjie; Chen, Zhumin; Song, Xiaomeng; Li, Bin; Yang, Haopeng; Ma, Jun
通讯作者:Chen, Z
作者机构:[Ren, Pengjie; Chen, Zhumin; Song, Xiaomeng; Li, Bin; Yang, Haopeng; Ma, Jun] Shandong Univ, Sch Comp Sci & Technol, Jinan 250101, Peoples R China.
会议名称:2nd Annual Conference of China-Computer-Federation Technical-Committee-of-Chinese-Information on Natural Language Processing and Chinese Computing (CCF TCCI NLPCC)
会议日期:NOV 15-19, 2013
来源:NATURAL LANGUAGE PROCESSING AND CHINESE COMPUTING, NLPCC 2013
出版年:2013
卷:400
页码:334-345
DOI:10.1007/978-3-642-41644-6_31
关键词:Temporal Intent; Query Classification; Machine Learning
摘要:Web queries are time sensitive which implies that user's intent for information changes over time. How to recognize temporal intents behind user queries is crucial towards improving the performance of search engines. However, to the best of our knowledge, this problem has not been studied in existing work. In this paper, we propose a time-based query classification approach to understand user's temporal intent automatically. We first analyzed the shared features of queries' temporal intent distributions. Then, we present a query taxonomy which group queries according to their temporal intents. Finally, for a new given query, we propose a machine learning method to decide its class in terms of its search frequency over time recorded in Web query logs. Experiments demonstrate that our approach can understand users' temporal intents effectively.
收录类别:CPCI-S;EI;SCOPUS
WOS核心被引频次:2
Scopus被引频次:3
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901484921&doi=10.1007%2f978-3-642-41644-6_31&partnerID=40&md5=5a1aa358917568bb9004cf98181b8fd5
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