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Searching the workplace web
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Source International World Wide Web Conference archive
Proceedings of the 12th international conference on World Wide Web table of contents
Budapest, Hungary
SESSION: Link-based ranking 2 table of contents
Pages: 366 - 375  
Year of Publication: 2003
ISBN:1-58113-680-3
Authors
Ronald Fagin  IBM Almaden Research Center, San Jose, CA
Ravi Kumar  IBM Almaden Research Center, San Jose, CA
Kevin S. McCurley  IBM Almaden Research Center, San Jose, CA
Jasmine Novak  IBM Almaden Research Center, San Jose, CA
D. Sivakumar  IBM Almaden Research Center, San Jose, CA
John A. Tomlin  IBM Almaden Research Center, San Jose, CA
David P. Williamson  IBM Almaden Research Center, San Jose, CA
Sponsor
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 19,   Downloads (12 Months): 131,   Citation Count: 32
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ABSTRACT

The social impact from the World Wide Web cannot be underestimated, but technologies used to build the Web are also revolutionizing the sharing of business and government information within intranets. In many ways the lessons learned from the Internet carry over directly to intranets, but others do not apply. In particular, the social forces that guide the development of intranets are quite different, and the determination of a "good answer" for intranet search is quite different than on the Internet. In this paper we study the problem of intranet search. Our approach focuses on the use of rank aggregation, and allows us to examine the effects of different heuristics on ranking of search results.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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James Allan, Margaret E. Connel, W. Bruce Croft, Fang-Fang Feng, David Fisher, and Zioayan Li. INQUERY and TREC-9. http://trec.nist.gov/pubs/trec9/papers/umass-trec9.pdf In Proc. 9th TREC, pages 551--562, 2000.
 
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Soumen Chakrabarti, Byron E. Dom, David Gibson, Ravi Kumar, Prabhakar Raghavan, Sridhar Rajagopalan, and Andrew Tomkins. Experiments in topic distillation http://www.almaden.ibm.com/cs/k53/abstract.html. In SIGIR Workshop on Hypertext Information Retrieval, pages 13--21, 1998.
 
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Djoerd Hiemstra. Using Language Models for Information Retrieval http://wwwhome.cs.utwente.nl/~hiemstra/papers/thesis.pdf. PhD thesis, University of Twente, Twente, The Netherlands, 2001.
 
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M. Huynh, L. Popkin, and M. Stecker. Constructing a corporate memory infrastructure from internet discovery technologies http://archive.ncsa.uiuc.edu/SDG/IT94/Proceedings/CorInfSys/huynh/cmi.html. In Proc. 2nd WWW, 1994.
 
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Kaitlin Duck Sherwood. Technical and sociological aspects of developing campus-wide webs: UIUC college of engineering http://archive.ncsa.uiuc.edu/SDG/IT94/Proceedings/Campus.Infosys/sherwood/sherwood.html. In Proc. 2nd WWW, 1994.
 
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Thijs Westerveld, Wessel Kraaij, and Djoerd Hiemstra. Retrieving web pages using content, links, URLs and anchors http://trec.nist.gov/pubs/trec10/papers/TNO-UTwente-trec10-final.pdf. In Proc. 10th TREC, pages 663--672, 2001.

CITED BY  32

Collaborative Colleagues:
Ronald Fagin: colleagues
Ravi Kumar: colleagues
Kevin S. McCurley: colleagues
Jasmine Novak: colleagues
D. Sivakumar: colleagues
John A. Tomlin: colleagues
David P. Williamson: colleagues