Learning a unified embedding space of web search from large-scale query log-Reference-Cited by-同舟云学术

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Learning a unified embedding space of web search from large-scale query log

Published:2018-06 Issue: Volume:150 Page:38-48
ISSN:0950-7051
Container-title:Knowledge-Based Systems
language:en
Short-container-title:Knowledge-Based Systems

Author:

Bing Lidong^ORCID,Niu Zheng-Yu,Li Piji,Lam Wai,Wang Haifeng

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference53 articles.

1. Towards rich query interpretation: walking back and forth for mining query templates;Agarwal,2010

2. An optimization framework for query recommendation;Anagnostopoulos,2010

3. The intention behind web queries;Baeza-Yates,2006

4. Agglomerative clustering of a search engine query log;Beeferman,2000

5. Automatic classification of web queries using very large unlabeled query logs;Beitzel;ACM Trans. Inf. Syst.,2007

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