article

Free access

Fast and effective query refinement

Authors:

Bienvenido Vélez,

Ron Weiss,

Mark A. Sheldon,

David K. GiffordAuthors Info & Claims

ACM SIGIR Forum, Volume 31, Issue SI

Pages 6 - 15

https://doi.org/10.1145/278459.258528

Published: 01 July 1997 Publication History

PDF eReader

References

[1]

IJsbrand Jan Aalbersberg. Incremental relevance feedback. In Proceedings of the 15th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 11-22, Copenhagen, Denmark, June 1992.

Digital Library

Google Scholar

[2]

R. C. Barrett and E. J. Selker. Finding what i am looking for: An information retrieval agent. Technical Report RJ 9816, IBM Research Division, Almaden Research Center, San Jose, California, May 1994.

Google Scholar

[3]

Chris Buckley, Gerard Salton, James Allan, and Amit Singhal. Automatic query expansion using SMART:TREC3. In Donna Harman, editor, Proceedings of the Third Test Retrieval Conference (TREC-3), pages 69-80, Gaithersburg, MD, November 1994. NIST and ARPA.

Google Scholar

[4]

W. B. Croft, R. Cook, and D. Wilder. Providing government information on the internet: Experiences with THOMAS. In Digital Libraries Conference DL95, pages 19-24, Austin, Texas, June 1995.

Google Scholar

[5]

Douglass R. Cutting, David R. Karger, Jan 0. Pedersen, and John W. Tukey. Scatter/gather: A cluster-based approach to browsing large document collections. In 15th Annual International SIGIR, pages 318-329, Denmark, June 1992.

Digital Library

Google Scholar

[6]

Andrzej Duda and Mark A. Sheldon. Content routing in networks of WAIS servers. In Proceedings of the l$th International Conference on Distributed Computing Systems, pages 124-132, Poznan, Poland, June 1994. IEEE.

Crossref

Google Scholar

[7]

Efthimis N. Efthimiadis. A user-centered evaluation of ranking algorithms for interactive query expansion. In Proceedings of the 16th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 146-159, Pittsburgh, PA USA, June 1993.

Digital Library

Google Scholar

[8]

William B. Frakes and Ricardo Baeza-Yates, editors. Information Retrieval: Data Structures# Algorithms. Prentice Hail, Englwood Cliffs, New Jersey, 1992.

Digital Library

Google Scholar

[9]

David K. Gifford. Polychannel systems for mass digital communication. Comm. ACM, 33(2), February 1990.

Digital Library

Google Scholar

[10]

David K. Gifford, John M. Lucassen, and Stephen T. Berlin. An architecture for large scale information systems. In l Oth Symposium on Operating System Principles, pages 161-170. ACM, December 1985.

Digital Library

Google Scholar

[11]

Donna Harman. Towards interactive query expansion. In Proceedings of the 11th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 321-331, Grenoble, France, June 1988.

Digital Library

Google Scholar

[12]

Donna Harman. Chapter 14: Ranking algorithms. In William B. Frakes and Ricardo Baeza-Yates, editors, Information Retrieval: Data Structures $fl Algorithms, pages 363- 392. Prentice Hall, Englwood Cliffs, New Jersey, 1992.

Crossref

Google Scholar

[13]

Donna Harman. Relevance feedback revisited. In Proceedings of the 15th Annual International ACMSIGIR Conference on Research and Development in Information Retrieval, pages 1 - 1 #openhagen, Denmark, June 1992.

Digital Library

Google Scholar

[14]

Donna Harman. TIPSTER information retrieval text research collection. CDROM set, Linguistic Data Consortium, 1994.

Google Scholar

[15]

Renato Iannella, Nigel Ward, Andrew Wood, Hoy|en Sue, and Peter Bruza. Digital libraries and the open information locator project. Technical Report DSTC 34, Research Data Network Cooperative Research Centre, Resource Discover Unit, Queesland, Australia, 1996.

Google Scholar

[16]

Brewster Kah|e and Art Medlar. An information system for corporate users: Wide Area Information Servers. Technical Report TMC-199, Thinking Machines, Inc., April 1991. Version 3.

Google Scholar

[17]

Yonggang Qiu and H. P. Frei. Concept based query expansion. In Proceedings of the 16th Annual International A CM SIGIR Conference on Research and Development in In}ormotion Retrieval, pages 160-169, Pittsburgh, PA USA, June 1993.

Digital Library

Google Scholar

[18]

Salton, E. A. Fox, and E. Voorhees. Advanced feedback methods in information retrieval. Journal of the American Society for In}ormaiton Science, 36(3):200-210, 1985.

Digital Library

Google Scholar

[19]

G. Salton, E. /#_ Fox, C. Buckley, and E. Voorhees. Boolean query formulation with relevance feedback. Technical Report TR 83-539, Department of Computer Science, Corneil University, Ithaca, NY, January 1983.

Digital Library

Google Scholar

[20]

Gerard Salton. Another look at automatic text-retrieval systems. Comm. ACM, 29(7):648-656, July 1986.

Digital Library

Google Scholar

[21]

Mark A. Sheldon. Content Routing: A Scalable Architecture for Network-Based Information Discovery. PhD thesis, Massachusetts Institute of Technology, Cambridge, Massachusetts, October 1995.

Digital Library

Google Scholar

[22]

Mark A. Sheldon, Andrzej Duda, Ron Weiss, and David K. Gifford. Discover: A resource discovery system based on content routing. In Proceedings of The Third International World Wide Web Conference, Darmstadt, Germany, April 1995. Also in Computer Networks and ISDN Systems, Elsevier North Holland, 27(1995), pp. 953-972.

Digital Library

Google Scholar

[23]

Mark A. Sheldon, Andrzej Duda, Ron Weiss, James W. 0'Toole, Jr., and David If, Gifford. A content routing system for distributed information servers. Technical Report MIT/LCS/TR-578, M.I.T. Laboratory for Computer Science, June 1993.

Digital Library

Google Scholar

[24]

Mark A. Sheldon, Andrzej Duda, Ron Weiss, James W. O'Toole, Jr., and David K. Gifford. Content routing for distributed information servers. In Fourth International Conference on Extending Database Technology, pages 109-122, Cambridge, England, March 1994. Available as Springer- Verlag LNCS Number 779.

Digital Library

Google Scholar

[25]

A. F. Smeaton and C. J. van Rijsbergen. The retrieval effects of query expansion on a feedback document retrieval system. The Computer Journal, 26(3):239-246, August 1983.

Crossref

Google Scholar

[26]

Ron Weiss, Bienvenido V@lez, Mark /t Sheldon, Chanathip Namprempre, Peter Szilagyi, and David K. Gifford. Hy- Pursuit: A hierarchical network search engine that exploits content-link hypertext clustering. In Proceedings of the Seventh ACM Conference on Hypertext, Washington, De, March 1996.

Digital Library

Google Scholar

[27]

Jinxi Xu and W. Bruce Croft. Query expansion using local and global document analysis. In Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 4-11, Zurich, Switzerland, August 1996.

Digital Library

Google Scholar

Cited By

View all

Algarni SGlavic BLee SChapman A(2024)Solving Why Not Questions for Aggregate Constraints Through Query Repair2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)10.1109/EuroSPW61312.2024.00072(592-596)Online publication date: 8-Jul-2024
https://doi.org/10.1109/EuroSPW61312.2024.00072
Bharat KHenzinger M(2017)Improved Algorithms for Topic Distillation in a Hyperlinked EnvironmentACM SIGIR Forum10.1145/3130348.313036751:2(194-201)Online publication date: 2-Aug-2017
https://dl.acm.org/doi/10.1145/3130348.3130367
Malensek MPallickara SPallickara S(2017)Fast, Ad Hoc Query Evaluations over Multidimensional Geospatial DatasetsIEEE Transactions on Cloud Computing10.1109/TCC.2015.23984375:1(28-42)Online publication date: 1-Jan-2017
https://doi.org/10.1109/TCC.2015.2398437
Show More Cited By

Index Terms

Fast and effective query refinement

Recommendations

Mining anchor text for query refinement
WWW '04: Proceedings of the 13th international conference on World Wide Web

When searching large hypertext document collections, it is often possible that there are too many results available for ambiguous queries. Query refinement is an interactive process of query modification that can be used to narrow down the scope of ...
Conceptual query refinement: the basic model
WISE'05: Proceedings of the 6th international conference on Web Information Systems Engineering

In this paper we present a novel approach for the refinement of Boolean queries by using ontologies. We introduce a conceptual model for defining user’s queries, whih enables that the disambiguation (and consequently the refinement) of a query can be ...
Short query refinement with query derivation
AIRS'08: Proceedings of the 4th Asia information retrieval conference on Information retrieval technology

In this paper we present a method for short query refinement. The method includes a query retrieval model that constructs multiple derived queries for the user's query, where derived queries denote a set of queries that are closely related to the query ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

ACM SIGIR Forum Volume 31, Issue SI

Special issue of the SIGIR forum

December 1997

315 pages

ISSN:0163-5840

DOI:10.1145/278459

Chairman:
Nicholas J. Belkin
Rutgers Univ., New Brunswick, NJ
,
Editors:
William Hersh
Oregon Health Sciences Univ., Portland
,
Fazli Can
Miami Univ., Oxford, OH

Issue’s Table of Contents

SIGIR '97: Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
July 1997
348 pages
ISBN:0897918363
DOI:10.1145/258525
Editors:
Nicholas J. Belkin
Rutgers Univ., New Brunswick, NJ
,
A. Desai Narasimhalu
National Univ. of Singapore, Singapore
,
Peter Willett
Univ. of Sheffield, UK
,
William Hersh
Oregon Health Sciences, Univ. Portland
,
Fazli Can
Miami Univ., Oxford, OH
,
Ellen Voorhees
NIST

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 July 1997

Published in SIGIR Volume 31, Issue SI

Check for updates

Qualifiers

Article

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

76
Total Citations
View Citations
1,444
Total Downloads

Downloads (Last 12 months)195
Downloads (Last 6 weeks)17

Reflects downloads up to 27 Dec 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Algarni SGlavic BLee SChapman A(2024)Solving Why Not Questions for Aggregate Constraints Through Query Repair2024 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)10.1109/EuroSPW61312.2024.00072(592-596)Online publication date: 8-Jul-2024
https://doi.org/10.1109/EuroSPW61312.2024.00072
Bharat KHenzinger M(2017)Improved Algorithms for Topic Distillation in a Hyperlinked EnvironmentACM SIGIR Forum10.1145/3130348.313036751:2(194-201)Online publication date: 2-Aug-2017
https://dl.acm.org/doi/10.1145/3130348.3130367
Malensek MPallickara SPallickara S(2017)Fast, Ad Hoc Query Evaluations over Multidimensional Geospatial DatasetsIEEE Transactions on Cloud Computing10.1109/TCC.2015.23984375:1(28-42)Online publication date: 1-Jan-2017
https://doi.org/10.1109/TCC.2015.2398437
Bao ZYu YShen JFu Z(2017)A query refinement framework for xml keyword searchWorld Wide Web10.1007/s11280-017-0447-z20:6(1469-1505)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1007/s11280-017-0447-z
Zhu SCai JZhang JLi ZWang JWang YZimmermann RYu Y(2014)Bridging the User Intention GapProceedings of the First International Workshop on Internet-Scale Multimedia Management10.1145/2661714.2661720(59-64)Online publication date: 7-Nov-2014
https://dl.acm.org/doi/10.1145/2661714.2661720
Lee UKang HYi EYi MKantola JKonstan JChi EHöök K(2012)Understanding mobile Q&A usageProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/2207676.2208741(3215-3224)Online publication date: 5-May-2012
https://dl.acm.org/doi/10.1145/2207676.2208741
Ma HKing ILyu M(2012)Mining Web Graphs for RecommendationsIEEE Transactions on Knowledge and Data Engineering10.1109/TKDE.2011.1824:6(1051-1064)Online publication date: 1-Jun-2012
https://dl.acm.org/doi/10.1109/TKDE.2011.18
Elayeb BBounhas IBen Khiroun OEvrard FBellamine-BenSaoud N(2011)Towards a Possibilistic Information Retrieval System Using Semantic Query ExpansionInternational Journal of Intelligent Information Technologies10.4018/jiit.20111001017:4(1-25)Online publication date: 1-Oct-2011
https://dl.acm.org/doi/10.4018/jiit.2011100101
Crabtree D(2009)Enhancing Web Search through Query ExpansionEncyclopedia of Data Warehousing and Mining, Second Edition10.4018/978-1-60566-010-3.ch116(752-757)Online publication date: 2009
https://doi.org/10.4018/978-1-60566-010-3.ch116
Spanakis GSiolas GStafylopatis A(2009)A Hybrid Web-Based Measure for Computing Semantic Relatedness Between WordsProceedings of the 2009 21st IEEE International Conference on Tools with Artificial Intelligence10.1109/ICTAI.2009.64(441-448)Online publication date: 2-Nov-2009
https://dl.acm.org/doi/10.1109/ICTAI.2009.64
Show More Cited By

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

Login options

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

References

Cited By

Index Terms

Recommendations

Mining anchor text for query refinement

Conceptual query refinement: the basic model

Short query refinement with query derivation

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

Login options

Full Access

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations