Article

Community search assistant

Author:

Natalie S. GlanceAuthors Info & Claims

IUI '01: Proceedings of the 6th international conference on Intelligent user interfaces

Pages 91 - 96

https://doi.org/10.1145/359784.360293

Published: 01 January 2001 Publication History

Get Access

Abstract

This paper describes a new software agent, the community search assistant, which recommends related searches to users of search engines. The community search assistant enables communities of users to search in a collaborative fashion. All queries submitted by the community are stored in the form of a graph. Links are made between queries that are found to be related. Users can peruse the network of related queries in an ordered way: following a path from a first cousin, to a second cousin to a third cousin, etc. to a set of search results. The first key idea behind the use of query graphs is that the determination of relatedness depends on the documents returned by the queries, not on the actual terms in the queries themselves. The second key idea is that the construction of the query graph transforms single user usage of information networks (e.g. search) into collaborative usage: all users can tap into the knowledge base of queries submitted by others.

References

[1]

Adamic, L. 1999. Small World Web. In Proceedings ECDL'99, Paris, France.

Crossref

Google Scholar

[2]

Brauen, T. L. 1971. Document Vector Modification. In The Smart Retrieval System: Experiments in Automatic Document Processing, Gerald Salton, Ed., Englewood Cliffs, NJ.

Google Scholar

[3]

Delgaldo, J., Ishii, N. and Ura, T. 1998. Content-Based Collaborative Information Filtering: Actively Learning to Classify and Recommend Documents. In Cooperative Information Agents II. Learning, Mobility and Electronic Commerce for Information Discovery on the Internet. Eds.

Digital Library

Google Scholar

[4]

M. Klusch, G. Wei~, Springer-Verlag, Lecture Notes in Artificial Intelligence Series No. 1435.

Google Scholar

[5]

Fitzpatrick, Larry and Dent, Mei 1997. Automatic Feedback Using Past Queries: Social Searching? In Proceedings of SIGIR'97, Philadelphia, PA.

Digital Library

Google Scholar

[6]

Glance, N., Arregui, D. and Dardenne, D. 1999. Making recommender systems work for organizations. In Proceedings of PAAM'99, London, England.

Google Scholar

[7]

Glance, N., Grasso, A., Borghoff, U., Snowdon, D. and Willamowski, J. 1999. In Proceedings HCI'99, Munich, Germany.

Google Scholar

[8]

Kleinberg, J. M. 1998 Authorative Sources in a Hyperlinked Environment. In Proceedings of the 9th ACM-SIAM Symposium on Discrete Algorithms, Ed. H. Karloff.

Digital Library

Google Scholar

[9]

Lamping, J. and Rao, R. 1996. The Hyperbolic Browser: A Focus + Context Technique for Visualizing Large Hierarchies. Journal of Visual Languages and Computing, 7:33-55.

Crossref

Google Scholar

[10]

Markatos, E. 1999. On Caching Search Engine Results. ICS FORTH Technical Report 241.

Google Scholar

[11]

Nordlie, R. 1999. "User Revealment" - A Comparison of Initial Queries and Ensuing Question Development in Online Searching and in Human Reference Interaction. In Proceedings of SIGIR99, Berkeley, CA.

Digital Library

Google Scholar

[12]

Page, L. 1997. PageRank - Bringing Order to the Web. Stanford Digital Libraries Working Paper 1997-0072.

Google Scholar

[13]

Raghavan, V.V. and Sever, H. 1995. On the Reuse of Past Optimal Queries. In Proceedings of SIGIR95, Seattle, WA.

Digital Library

Google Scholar

[14]

Sullivan, D. 2000. Search Assistance Features: Related Searches. http://www.searchenginewatch.com/facts/assistance.html#relate

Google Scholar

Cited By

View all

Brusilovsky PSmyth BShapira B(2018)Social SearchSocial Information Access10.1007/978-3-319-90092-6_7(213-276)Online publication date: 3-May-2018
https://doi.org/10.1007/978-3-319-90092-6_7
Li LQi LDeng FXiong SYuan J(2016)Enhancing keyword suggestion of web serach by leveraging microblog dataJournal of Web Engineering10.5555/3177210.317721115:3-4(181-202)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.5555/3177210.3177211
Kittur APeters ADiriye ABove MFussell SLutters WMorris MReddy M(2014)Standing on the schemas of giantsProceedings of the 17th ACM conference on Computer supported cooperative work & social computing10.1145/2531602.2531644(999-1010)Online publication date: 15-Feb-2014
https://dl.acm.org/doi/10.1145/2531602.2531644
Show More Cited By

Index Terms

Community search assistant

Recommendations

Sponsored Search: Is Money a Motivator for Providing Relevant Results?

Analysis of data from a major metasearch engine reveals that sponsored-link click-through rates appear lower than previously reported. Combining sponsored and nonsponsored links in a single listing, while providing some benefits to users, does not ...
Focused ranking in a vertical search engine
SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval

Since the debut of PageRank and HITS, hyperlink-induced Web document ranking has come a long way. The Web has become increasingly vast and topically diverse. Such vastness has led many into the area of topic-sensitive ranking and its variants. We ...
Personalization of Content Ranking in the Context of Local Search
WI-IAT '09: Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01

Ranking search results using a single ranking function for all search engine visitors is inherently bounded in the performance the ranking algorithm can achieve when considering the variety of requirements of Web searchers and the proliferation of ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

IUI '01: Proceedings of the 6th international conference on Intelligent user interfaces

January 2001

174 pages

ISBN:1581133251

DOI:10.1145/359784

Chairmen:
Candy Sidner
MERL
,
Johanna Moore
Univ. of Edinburgh, Edinburgh, Scotland

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 January 2001

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Article

Conference

IUI01

Sponsor:

IUI01: International Conference on Intelligent User Interfaces 2001

January 14 - 17, 2001

New Mexico, Santa Fe, USA

Acceptance Rates

Overall Acceptance Rate 746 of 2,811 submissions, 27%

Upcoming Conference

IUI '25

Sponsor:
sigai
sigai

30th International Conference on Intelligent User Interfaces

March 24 - 27, 2025

Cagliari , Italy

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

70
Total Citations
View Citations
783
Total Downloads

Downloads (Last 12 months)3
Downloads (Last 6 weeks)0

Reflects downloads up to 06 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Brusilovsky PSmyth BShapira B(2018)Social SearchSocial Information Access10.1007/978-3-319-90092-6_7(213-276)Online publication date: 3-May-2018
https://doi.org/10.1007/978-3-319-90092-6_7
Li LQi LDeng FXiong SYuan J(2016)Enhancing keyword suggestion of web serach by leveraging microblog dataJournal of Web Engineering10.5555/3177210.317721115:3-4(181-202)Online publication date: 1-Jul-2016
https://dl.acm.org/doi/10.5555/3177210.3177211
Kittur APeters ADiriye ABove MFussell SLutters WMorris MReddy M(2014)Standing on the schemas of giantsProceedings of the 17th ACM conference on Computer supported cooperative work & social computing10.1145/2531602.2531644(999-1010)Online publication date: 15-Feb-2014
https://dl.acm.org/doi/10.1145/2531602.2531644
Niu XKelly D(2014)The use of query suggestions during information searchInformation Processing and Management: an International Journal10.1016/j.ipm.2013.09.00250:1(218-234)Online publication date: 1-Jan-2014
https://dl.acm.org/doi/10.1016/j.ipm.2013.09.002
Lucchese COrlando SPerego RSilvestri FTolomei G(2013)Discovering tasks from search engine query logsACM Transactions on Information Systems10.1145/2493175.249317931:3(1-43)Online publication date: 5-Aug-2013
https://dl.acm.org/doi/10.1145/2493175.2493179
Hamilton JGopal BBenjamin P(2013)Enabling technology for Collaborative Semantic Search (CSS)2013 International Conference on Collaboration Technologies and Systems (CTS)10.1109/CTS.2013.6567207(69-75)Online publication date: May-2013
https://doi.org/10.1109/CTS.2013.6567207
Li LXu GYang ZDolog PZhang YKitsuregawa M(2013)An efficient approach to suggesting topically related web queries using hidden topic modelWorld Wide Web10.1007/s11280-011-0151-316:3(273-297)Online publication date: 1-May-2013
https://dl.acm.org/doi/10.1007/s11280-011-0151-3
Li LZhong LYang ZKitsuregawa M(2013)QUBiCJournal of Intelligent Information Systems10.1007/s10844-013-0237-840:3(555-587)Online publication date: 1-Jun-2013
https://dl.acm.org/doi/10.1007/s10844-013-0237-8
Li LZhong LXu GKitsuregawa M(2012)A feature-free search query classification approach using semantic distanceExpert Systems with Applications: An International Journal10.1016/j.eswa.2012.02.19139:12(10739-10748)Online publication date: 1-Sep-2012
https://dl.acm.org/doi/10.1016/j.eswa.2012.02.191
Sato GAzevedo HBarthès J(2012)Agent and multi-agent applications to support distributed communities of practiceAutonomous Agents and Multi-Agent Systems10.1007/s10458-011-9170-925:1(87-129)Online publication date: 1-Jul-2012
https://dl.acm.org/doi/10.1007/s10458-011-9170-9
Show More Cited By

View Options

Login options

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

Cited By

Index Terms

Recommendations

Sponsored Search: Is Money a Motivator for Providing Relevant Results?

Focused ranking in a vertical search engine

Personalization of Content Ranking in the Context of Local Search