Cited By
View all- Biega ASchmidt JRoy R(2020)Towards Query Logs for Privacy Studies: On Deriving Search Queries from QuestionsAdvances in Information Retrieval10.1007/978-3-030-45442-5_14(110-117)Online publication date: 8-Apr-2020
Place value: word position shifts vital to search dynamics
Pages 153 - 154
Abstract
With fast changing information needs in today's world, it is imperative that search engines precisely understand and exploit temporal changes in Web queries. In this work, we look at shifts in preferred positions of segments in queries over an interval of four years. We find that such shifts can predict key changes in usage patterns, and explain the observed increase in query lengths. Our findings indicate that recording positional statistics can be vital for understanding user intent in Web search queries.
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R. Saha Roy, N. Ganguly, M. Choudhury, and S. Laxman. An IR-based Evaluation Framework for Web Search Query Segmentation. In SIGIR '12, pages 881--890, 2012.
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X. Yin and S. Shah. Building taxonomy of Web search intents for name entity queries. In WWW '10, pages 1001--1010, 2010.
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H. Yu and F. Ren. Role-explicit query identification and intent role annotation. In CIKM '12, pages 1163--1172, 2012.
Index Terms
- Place value: word position shifts vital to search dynamics
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Information & Contributors
Information
Published In
May 2013
1636 pages
ISBN:9781450320382
DOI:10.1145/2487788
- General Chairs:
- Daniel Schwabe,
- Virgílio Almeida,
- Hartmut Glaser,
- Program Chairs:
- Ricardo Baeza-Yates,
- Sue Moon
Copyright © 2013 Copyright is held by the owner/author(s).
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
- NICBR: Nucleo de Informatcao e Coordenacao do Ponto BR
- CGIBR: Comite Gestor da Internet no Brazil
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Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 13 May 2013
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WWW '13
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- NICBR
- CGIBR
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WWW '13 Companion Paper Acceptance Rate 831 of 1,250 submissions, 66%;
Overall Acceptance Rate 1,899 of 8,196 submissions, 23%
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Cited By
View all- Biega ASchmidt JRoy R(2020)Towards Query Logs for Privacy Studies: On Deriving Search Queries from QuestionsAdvances in Information Retrieval10.1007/978-3-030-45442-5_14(110-117)Online publication date: 8-Apr-2020
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