column

Free access

Slow search

Authors:

Jaime Teevan,

Kevyn Collins-Thompson,

Ryen W. White,

Susan DumaisAuthors Info & Claims

Communications of the ACM, Volume 57, Issue 8

Pages 36 - 38

https://doi.org/10.1145/2633041

Published: 01 August 2014 Publication History

All formats PDF

Abstract

Seeking to enrich the search experience by allowing for extra time and alternate resources.

References

[1]

Aperjis, C., Huberman, B.A., and Wu, F. Human speed-accuracy tradeoffs in search. (Jan. 11, 2010); http://bit.ly/9bTehC.

Google Scholar

[2]

Azari, D., Horvitz, E., Dumais, S., and Brill, E. Actions, answers, and uncertainty: A decision-making perspective on web-based question answering. IP&M 40, 5 (2004), 849--868.

Digital Library

Google Scholar

[3]

Bernstein, M., Teevan, J., Dumais, S.T., Liebling, D., and Horvitz, E. Direct answers for search queries in the long tail. In Proceedings of CHI 2012, (237--246).

Digital Library

Google Scholar

[4]

Chen, J., Subramanian, L., and Li, J. RuralCafe: Web search in the rural developing world. In Proceedings of WWW 2009, 411--420.

Digital Library

Google Scholar

[5]

Crabtree, D., Andreae, P., and Gao X. Exploiting underrepresented query aspects for automatic query expansion. In Proceedings of KDD 2007, 191--200.

Digital Library

Google Scholar

[6]

Dean, J. and Barroso, L.A. The tail at scale. Commun. ACM 56, 2 (Feb. 2013), 74--80.

Digital Library

Google Scholar

[7]

Dörk, M., Bennett, P. and Davies, R. Taking our sweet time to search. In Proceedings of the CHI 2013 Workshop on Changing Perspectives of Time in HCI.

Google Scholar

[8]

Kotov, A., Bennett, P., White, R.W., Dumais, S.T., and eevan, J. Modeling and analysis of cross-session search tasks. In Proceedings of SIGIR 2011, 5--14.

Digital Library

Google Scholar

[9]

Lee, U., Kim, J., Yi, E., Sung, J., and Gerla, M. Analyzing answers in mobile pay-for-answer Q&A. In Proceedings of CHI 2013.

Digital Library

Google Scholar

[10]

Linden, G. Marissa Mayer at Web 2.0. (Nov. 9, 2006); http://bit.ly/2J2amv.

Google Scholar

[11]

Shurman, E. and Brutlag, J. Performance related changes and their searcher impact. Velocity 2009; http://oreil.ly/fTmYwz.

Google Scholar

[12]

Teevan, J., Collins-Thompson, K., White, R.W., Dumais, S.T. and Kim, Y. Slow search: Information retrieval without time constraints. In Proceedings of HCIR 2013.

Digital Library

Google Scholar

[13]

Wang, L., Lin, J., and Metzler, D. A cascade ranking model for efficient ranked retrieval. In Proceedings of SIGIR 2011, 105--114.

Digital Library

Google Scholar

Cited By

View all

Trippas JAl Lawati SMackenzie JGallagher LHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)What do Users Really Ask Large Language Models? An Initial Log Analysis of Google Bard Interactions in the WildProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657914(2703-2707)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657914
Shah CWhite RThomas PMitra BSarkar SBelkin N(2023)Taking Search to TaskProceedings of the 2023 Conference on Human Information Interaction and Retrieval10.1145/3576840.3578288(1-13)Online publication date: 19-Mar-2023
https://dl.acm.org/doi/10.1145/3576840.3578288
Smith CRieh SAzzopardi LHalvey MRuthven IJoho HMurdock VQvarfordt P(2019)Knowledge-Context in Search SystemsProceedings of the 2019 Conference on Human Information Interaction and Retrieval10.1145/3295750.3298940(55-62)Online publication date: 8-Mar-2019
https://dl.acm.org/doi/10.1145/3295750.3298940
Show More Cited By

Index Terms

Slow search
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing systems and tools
2. Information systems
  1. Information retrieval
    1. Document representation
  2. World Wide Web

Recommendations

Technical Note-Trading Off Quick versus Slow Actions in Optimal Search

We consider the search for a target whose precise location is uncertain. The search region is divided into grid cells, and the searcher decides which cell to visit next and whether to search it quickly or slowly. A quick search of a cell containing the ...
Technical Note-Trading Off Quick versus Slow Actions in Optimal Search

We consider the search for a target whose precise location is uncertain. The search region is divided into grid cells, and the searcher decides which cell to visit next and whether to search it quickly or slowly. A quick search of a cell containing the ...
Technical Note-Trading Off Quick versus Slow Actions in Optimal Search

We consider the search for a target whose precise location is uncertain. The search region is divided into grid cells, and the searcher decides which cell to visit next and whether to search it quickly or slowly. A quick search of a cell containing the ...

Comments

Information & Contributors

Information

Published In

Communications of the ACM Volume 57, Issue 8

August 2014

92 pages

ISSN:0001-0782

EISSN:1557-7317

DOI:10.1145/2632661

Editor:
Moshe Y. Vardi
Association for Computing Machinery, New York, NY

Issue’s Table of Contents

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.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 August 2014

Published in CACM Volume 57, Issue 8

Check for updates

Qualifiers

Column
Popular
Un-reviewed

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

27
Total Citations
View Citations
1,634
Total Downloads

Downloads (Last 12 months)225
Downloads (Last 6 weeks)51

Reflects downloads up to 28 Jul 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Trippas JAl Lawati SMackenzie JGallagher LHui Yang GWang HHan SHauff CZuccon GZhang Y(2024)What do Users Really Ask Large Language Models? An Initial Log Analysis of Google Bard Interactions in the WildProceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval10.1145/3626772.3657914(2703-2707)Online publication date: 10-Jul-2024
https://dl.acm.org/doi/10.1145/3626772.3657914
Shah CWhite RThomas PMitra BSarkar SBelkin N(2023)Taking Search to TaskProceedings of the 2023 Conference on Human Information Interaction and Retrieval10.1145/3576840.3578288(1-13)Online publication date: 19-Mar-2023
https://dl.acm.org/doi/10.1145/3576840.3578288
Smith CRieh SAzzopardi LHalvey MRuthven IJoho HMurdock VQvarfordt P(2019)Knowledge-Context in Search SystemsProceedings of the 2019 Conference on Human Information Interaction and Retrieval10.1145/3295750.3298940(55-62)Online publication date: 8-Mar-2019
https://dl.acm.org/doi/10.1145/3295750.3298940
Moradi M(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
https://doi.org/10.1108/IJCS-12-2018-0026
Ruotsalo TPeltonen JEugster MGłowacka DFloréen PMyllymäki PJacucci GKaski S(2018)Interactive Intent Modeling for Exploratory SearchACM Transactions on Information Systems10.1145/323159336:4(1-46)Online publication date: 3-Oct-2018
https://dl.acm.org/doi/10.1145/3231593
Demartini GDifallah DGadiraju UCatasta M(2017)An Introduction to Hybrid Human-Machine Information SystemsFoundations and Trends in Web Science10.1561/18000000257:1(1-87)Online publication date: 20-Dec-2017
https://dl.acm.org/doi/10.1561/1800000025
White RDiaz FGuo Q(2017)Search Result Prefetching on Desktop and MobileACM Transactions on Information Systems10.1145/301546635:3(1-34)Online publication date: 12-May-2017
https://dl.acm.org/doi/10.1145/3015466
Bacher ABodini OHwang HTsai T(2017)Generating Random Permutations by Coin TossingACM Transactions on Algorithms10.1145/300990913:2(1-43)Online publication date: 7-Feb-2017
https://dl.acm.org/doi/10.1145/3009909
Li S(2017)On Uniform Capacitated k-Median Beyond the Natural LP RelaxationACM Transactions on Algorithms10.1145/298363313:2(1-18)Online publication date: 14-Jan-2017
https://dl.acm.org/doi/10.1145/2983633
(2017)Semantically linking events for massive scientific literature researchThe Electronic Library10.1108/EL-09-2016-019835:4(724-744)Online publication date: 7-Aug-2017
https://dl.acm.org/doi/10.1108/EL-09-2016-0198
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Digital Edition

View this article in digital edition.

Digital Edition

Magazine Site

View this article on the magazine site (external)

Magazine Site

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Abstract

References

Cited By

Index Terms

Recommendations

Technical Note-Trading Off Quick versus Slow Actions in Optimal Search

Technical Note-Trading Off Quick versus Slow Actions in Optimal Search

Technical Note-Trading Off Quick versus Slow Actions in Optimal Search

Comments

Information

Published In

Publisher

Publication History

Check for updates

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

Cited By

View options

PDF

eReader

Digital Edition

Magazine Site

Get Access

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations