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Q2P: Discovering query templates via autocompletion

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成果类型:
期刊论文
作者:
Wu, Wensheng*;Meng, Weiyi;Su, Weifeng;Zhou, Guangyou;Chiang, Yao-Yi
通讯作者:
Wu, Wensheng
作者机构:
[Wu, Wensheng] Univ So Calif, Dept Comp Sci, Los Angeles, CA 90089 USA.
[Meng, Weiyi] SUNY Binghamton, Dept Comp Sci, Binghamton, NY 13902 USA.
[Su, Weifeng] BNU HKBU United Int Coll, Comp Sci & Technol Program, Zhuhai 519085, Peoples R China.
[Zhou, Guangyou] Cent China Normal Univ, Sch Comp Sci, 152 Luoyu Rd, Wuhan 430079, Peoples R China.
[Chiang, Yao-Yi] Univ So Calif, Spatial Sci Inst, Los Angeles, CA 90089 USA.
通讯机构:
[Wu, Wensheng] U
Univ So Calif, Dept Comp Sci, Los Angeles, CA 90089 USA.
语种:
英文
关键词:
Design;Languages;Algorithms;Experimentation;Query templates;search engines;autocompletion;trie;pattern discovery
期刊:
ACM Transactions on the Web
ISSN:
1559-1131
年:
2016
卷:
10
期:
2
页码:
10:1-10:29
基金类别:
Guangdong Natural Science FoundationNational Natural Science Foundation of Guangdong Province [S2013010016852]; BNU-HKBU United International College internal grant; National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [61303180, 61573163]
机构署名:
本校为其他机构
院系归属:
计算机学院
摘要:
We present Q2P, a system that discovers query templates from search engines via their query autocompletion services. Q2P is distinct from the existing works in that it does not rely on query logs of search engines that are typically not readily available. Q2P is also unique in that it uses a trie to economically store queries sampled from a search engine and employs a beam-search strategy that focuses the expansion of the trie on its most promising nodes. Furthermore, Q2P leverages the trie-based storage of query sample to discover query templa...

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