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Context sensitive synonym discovery for web search queries

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Benoit DumoulinAuthors Info & Claims

CIKM '09: Proceedings of the 18th ACM conference on Information and knowledge management

Pages 1585 - 1588

https://doi.org/10.1145/1645953.1646178

Published: 02 November 2009 Publication History

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Abstract

We propose a simple yet effective approach to context sensitive synonym discovery for Web search queries based on co-click analysis; i.e., analyzing queries leading to clicking same documents. In addition to deriving word based synonyms, we also derive concept based synonyms with the help of query segmentation. Evaluation results show that this approach dramatically outperforms the thesaurus based synonym replacement method in keeping search intent, from accuracy of 40% to above 80%.

References

[1]

M. Baroni and S. Bisi. Using Cooccurrence Statistics and the Web to Discover Synonyms in a Technical Language. In LREC, 2004.

Google Scholar

[2]

C. Fellbaum, editor. WordNet: An Electronic Lexical Database. MIT Press, Cambridge, Mass., 1998.

Google Scholar

[3]

D. Lin. Automatic retrieval and clustering of similar words. In Proceedings of COLING/ACL-98, pages 768--774, 1998.

Digital Library

Google Scholar

[4]

F. Pereira, N. Tishby, and L. Lee. Distributional Clustering of English Words. In Proceedings of ACL-93, pages 183--190, 1993.

Digital Library

Google Scholar

[5]

R. Snow, D. Jurafsky, and A. Y. Ng. Semantic Taxonomy Induction from Heterogenous Evidence. In Proceedings of COLING/ACL-06, pages 801--808, 2006.

Digital Library

Google Scholar

[6]

B. Tan and F. Peng. Unsupervised Query Segmentation using Generative Language Models and Wikipedia. In Proceedings of the 17th International World Wide Web Conference (WWW), pages 347--356, 2008.

Digital Library

Google Scholar

[7]

P. Turney. Mining the Web for synonyms: PMI-IR versus LSA on TOEFL. In Proceedings of the Twelfth European Conference on Machine Learning, 2001.

Digital Library

Google Scholar

[8]

J. R. Wen, J. Y. Nie, and H. J. Zhang. Query Clustering Using User Logs. ACM Transactions on Information Systems, 20(1):59--81, 2002.

Digital Library

Google Scholar

Cited By

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Li PGaurav (2023)Automatic Synonym Extraction and Context-based Query Reformulation for Points-of-Interest Search2023 IEEE 39th International Conference on Data Engineering (ICDE)10.1109/ICDE55515.2023.00235(3072-3078)Online publication date: Apr-2023
https://doi.org/10.1109/ICDE55515.2023.00235
Cao HDo DTran VCao TSong Y(2022)Synonym Prediction for Vietnamese Occupational SkillsAdvances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence10.1007/978-3-031-08530-7_29(351-362)Online publication date: 19-Jul-2022
https://dl.acm.org/doi/10.1007/978-3-031-08530-7_29
Pei SYu LZhang X(2021)Set-aware Entity Synonym Discovery with Flexible Receptive FieldsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2021.3087532(1-1)Online publication date: 2021
https://doi.org/10.1109/TKDE.2021.3087532
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Index Terms

Context sensitive synonym discovery for web search queries
1. Information systems
  1. Information retrieval

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Published In

CIKM '09: Proceedings of the 18th ACM conference on Information and knowledge management

November 2009

2162 pages

ISBN:9781605585123

DOI:10.1145/1645953

General Chairs:
David Cheung
University of Hong Kong, Hong Kong
,
Il-Yeol Song
Drexel University, USA
,
Program Chairs:
Wesley Chu
UCLA, USA
,
Xiaohua Hu
Drexel University, USA
,
Jimmy Lin
University of Maryland, USA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 02 November 2009

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November 2 - 6, 2009

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Li PGaurav (2023)Automatic Synonym Extraction and Context-based Query Reformulation for Points-of-Interest Search2023 IEEE 39th International Conference on Data Engineering (ICDE)10.1109/ICDE55515.2023.00235(3072-3078)Online publication date: Apr-2023
https://doi.org/10.1109/ICDE55515.2023.00235
Cao HDo DTran VCao TSong Y(2022)Synonym Prediction for Vietnamese Occupational SkillsAdvances and Trends in Artificial Intelligence. Theory and Practices in Artificial Intelligence10.1007/978-3-031-08530-7_29(351-362)Online publication date: 19-Jul-2022
https://dl.acm.org/doi/10.1007/978-3-031-08530-7_29
Pei SYu LZhang X(2021)Set-aware Entity Synonym Discovery with Flexible Receptive FieldsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2021.3087532(1-1)Online publication date: 2021
https://doi.org/10.1109/TKDE.2021.3087532
Yu JLu WXu WTang Z(2020)Entity Synonym Discovery via Multiple AttentionsSemantic Technology10.1007/978-3-030-41407-8_18(271-286)Online publication date: 14-Feb-2020
https://doi.org/10.1007/978-3-030-41407-8_18
Sarkar SParmar MSandhu S(2019)Entity Set Expansion for Detecting Fashion Trends2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA)10.1109/ICMLA.2019.00033(162-167)Online publication date: Dec-2019
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Nozaki YSatoh T(2018)Search Log Analysis Method of Online Shopping Sites for Navigating Item CategoriesProceedings of the 20th International Conference on Information Integration and Web-based Applications & Services10.1145/3282373.3282408(87-95)Online publication date: 19-Nov-2018
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Nozaki YSatoh T(2018)Category Classification Methods Reflecting Item Search Behaviors on Online Shopping Sites2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI)10.1109/IIAI-AAI.2018.00017(32-37)Online publication date: Jul-2018
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Kobayashi KNozaki YFushimi TSatoh T(2017)Category reformation using purchase logsProceedings of the 19th International Conference on Information Integration and Web-based Applications & Services10.1145/3151759.3151826(146-150)Online publication date: 4-Dec-2017
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Qu MRen XHan JMatwin SYu SFarooq F(2017)Automatic Synonym Discovery with Knowledge BasesProceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining10.1145/3097983.3098185(997-1005)Online publication date: 13-Aug-2017
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Tang E(2016)Assessing the Effectiveness of Corpus-Based Methods in Solving SAT Sentence Completion QuestionsJournal of Computers10.17706/jcp.11.4.266-279(266-279)Online publication date: 2016
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The Effect of Synonym Substitution on Search Results

Graded relevance ranking for synonym discovery

Synthesizing high utility suggestions for rare web search queries

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The Effect of Synonym Substitution on Search Results

Graded relevance ranking for synonym discovery

Synthesizing high utility suggestions for rare web search queries

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