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Intentions: a game for classifying search query intent

Published: 04 April 2009 Publication History

Abstract

Knowing the intent of a search query allows for more intelligent ways of retrieving relevant search results. Most of the recent work on automatic detection of query intent uses supervised learning methods that require a substantial amount of labeled data; manually collecting such data is often time-consuming and costly. Human computation is an active research area that includes studies of how to build online games that people enjoy playing, while in the process providing the system with useful data. In this work, we present the design principles behind a new game called Intentions, which aims to collect data about the intent behind search queries.

References

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Baeza-Yates, R., Calderon-Benavides, L. and Gonzalez-Caro, C. The intention behind web queries. In Proc. of SPIRE. 98--109, 2006.
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Broder, A. A taxonomy of web search. SIGIR Forum, 36(2):3--10, 2002.
[3]
Jansen, B.J., Booth, D.L. and Spink, A. Determining the informational, navigational and transactional intent of web queries. SIGIR Forum, 44(3):1251--1266, 2008.
[4]
Law, E. and von Ahn, L. Input-agreement: A New Mechanism for Collecting Data Using Human Computation Games. To appear in Proc. of CHI. ACM Press, 2009.
[5]
Lee, U., Liu, Z. and Cho, J. Automatic identification of user goals in web search. In Proc. of WWW. 391--401, 2005.
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Rose, D. E. and Levinson, D. Understanding user goals in web search. In Proc. of WWW. 13--19, 2004.
[7]
von Ahn, L. and Dabbish, L. Designing games with a purpose. Communications of the ACM, 51(8):58--67, 2008.

Cited By

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  • (2019)A hybrid deep neural network model for query intent classificationJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-18268236:6(6413-6423)Online publication date: 1-Jan-2019
  • (2019)Crowdsourcing for search engines: perspectives and challengesInternational Journal of Crowd Science10.1108/IJCS-12-2018-00263:1(49-62)Online publication date: 10-May-2019
  • (2017)The survey of large-scale query classification10.1063/1.4981641(040045)Online publication date: 2017
  • Show More Cited By

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    cover image ACM Conferences
    CHI EA '09: CHI '09 Extended Abstracts on Human Factors in Computing Systems
    April 2009
    2470 pages
    ISBN:9781605582474
    DOI:10.1145/1520340
    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.

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    New York, NY, United States

    Publication History

    Published: 04 April 2009

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    Author Tags

    1. human computation game
    2. query classification
    3. query intent
    4. web search

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    CHI EA '09 Paper Acceptance Rate 385 of 1,130 submissions, 34%;
    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    Cited By

    View all
    • (2019)A hybrid deep neural network model for query intent classificationJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-18268236:6(6413-6423)Online publication date: 1-Jan-2019
    • (2019)Crowdsourcing for search engines: perspectives and challengesInternational Journal of Crowd Science10.1108/IJCS-12-2018-00263:1(49-62)Online publication date: 10-May-2019
    • (2017)The survey of large-scale query classification10.1063/1.4981641(040045)Online publication date: 2017
    • (2015)Seasons, Searches, and Intentions: What The Internet Can Tell Us About The Bed Bug (Hemiptera: Cimicidae) EpidemicJournal of Medical Entomology10.1093/jme/tjv15853:1(116-121)Online publication date: 16-Oct-2015
    • (2014)Building a query log via crowdsourcingProceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval10.1145/2600428.2609479(939-942)Online publication date: 3-Jul-2014
    • (2014)Gaming with Purpose: Heuristic Understanding of Ubiquitous Game Development and Design for Human ComputationHandbook of Digital Games10.1002/9781118796443.ch24(645-666)Online publication date: 7-Mar-2014
    • (2013)Semantics Discovery via Human Computation GamesSemantic Web10.4018/978-1-4666-3610-1.ch012(286-308)Online publication date: 2013
    • (2012)Acquiring knowledge about human goals from Search Query LogsInformation Processing and Management: an International Journal10.1016/j.ipm.2011.03.01048:1(63-82)Online publication date: 1-Jan-2012
    • (2011)Semantics Discovery via Human Computation GamesInternational Journal on Semantic Web & Information Systems10.4018/jswis.20110701027:3(23-45)Online publication date: 1-Jul-2011
    • (2009)Improving search engines using human computation gamesProceedings of the 18th ACM conference on Information and knowledge management10.1145/1645953.1645990(275-284)Online publication date: 2-Nov-2009

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