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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.
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CITED BY 32
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Ronald Fagin , Ravi Kumar , Mohammad Mahdian , D. Sivakumar , Erik Vee, Comparing and aggregating rankings with ties, Proceedings of the twenty-third ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, June 14-16, 2004, Paris, France
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Hang Li , Yunbo Cao , Jun Xu , Yunhua Hu , Shenjie Li , Dmitriy Meyerzon, A new approach to intranet search based on information extraction, Proceedings of the 14th ACM international conference on Information and knowledge management, October 31-November 05, 2005, Bremen, Germany
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Zaiqing Nie , Yunxiao Ma , Shuming Shi , Ji-Rong Wen , Wei-Ying Ma, Web object retrieval, Proceedings of the 16th international conference on World Wide Web, May 08-12, 2007, Banff, Alberta, Canada
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