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Cited by 444

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Improved algorithms for topic distillation in a hyperlinked environment

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Bharat, Krishna, Henzinger, Monika R.·1998·Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval

Abstract

This paper addresses the problem of topic distillation on the World Wide Web, namely, given a typical user query to find quality documents related to the query topic.Connectivity analysis has been shown to be useful in identifying high quality pages within a topic specific graph of hyperlinked documents.The essence of our approach is to augment a previous connectivity analysis based algorithm with content analysis.We identify three problems with the existing approach and devise algorithms to tackle them.The results of a user evaluation are reported that show an improvement of precision at 10 documents by at least 45% over pure connectivity analysis.

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Metadata

Authors
Bharat, K., & Henzinger, M. R.
Venue
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Publisher
ACM
Published
1998-08
Pages
104-111
OpenAlex
W4240407914
Cited by
444
References
0
FWCI
21.08
Type
conference paper
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Improved algorithms for topic distillation in a hyperlinked environment. https://app.cochat.ai/papers/10.1145/290941.290972
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Bharat, K., & Henzinger, M. R. (1998). Improved algorithms for topic distillation in a hyperlinked environment. Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval. https://doi.org/10.1145/290941.290972

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