{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","page":"104–111","language":[{"iso":"eng"}],"extern":"1","author":[{"last_name":"Bharat","first_name":"Krishna","full_name":"Bharat, Krishna"},{"full_name":"Henzinger, Monika H","orcid":"0000-0002-5008-6530","first_name":"Monika H","last_name":"Henzinger","id":"540c9bbd-f2de-11ec-812d-d04a5be85630"}],"day":"01","year":"2003","date_published":"2003-08-01T00:00:00Z","quality_controlled":"1","article_processing_charge":"No","date_updated":"2023-02-17T14:47:44Z","publication":"21st annual international ACM SIGIR conference on Research and development in information retrieval","abstract":[{"lang":"eng","text":"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\r\ndocuments by at least 45% over pure connectivity analysis. "}],"status":"public","date_created":"2022-08-17T08:56:18Z","oa_version":"None","citation":{"short":"K. Bharat, M.H. Henzinger, in:, 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Association for Computing Machinery, 2003, pp. 104–111.","apa":"Bharat, K., &#38; Henzinger, M. H. (2003). Improved algorithms for topic distillation in a hyperlinked environment. In <i>21st annual international ACM SIGIR conference on Research and development in information retrieval</i> (pp. 104–111). Melbourne, Australia: Association for Computing Machinery. <a href=\"https://doi.org/10.1145/290941.290972\">https://doi.org/10.1145/290941.290972</a>","ama":"Bharat K, Henzinger MH. Improved algorithms for topic distillation in a hyperlinked environment. In: <i>21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval</i>. Association for Computing Machinery; 2003:104–111. doi:<a href=\"https://doi.org/10.1145/290941.290972\">10.1145/290941.290972</a>","ista":"Bharat K, Henzinger MH. 2003. Improved algorithms for topic distillation in a hyperlinked environment. 21st annual international ACM SIGIR conference on Research and development in information retrieval. SIGIR: International Conference on Research and Development in Information Retrieval, 104–111.","chicago":"Bharat, Krishna, and Monika H Henzinger. “Improved Algorithms for Topic Distillation in a Hyperlinked Environment.” In <i>21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval</i>, 104–111. Association for Computing Machinery, 2003. <a href=\"https://doi.org/10.1145/290941.290972\">https://doi.org/10.1145/290941.290972</a>.","ieee":"K. Bharat and M. H. Henzinger, “Improved algorithms for topic distillation in a hyperlinked environment,” in <i>21st annual international ACM SIGIR conference on Research and development in information retrieval</i>, Melbourne, Australia, 2003, pp. 104–111.","mla":"Bharat, Krishna, and Monika H. Henzinger. “Improved Algorithms for Topic Distillation in a Hyperlinked Environment.” <i>21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval</i>, Association for Computing Machinery, 2003, pp. 104–111, doi:<a href=\"https://doi.org/10.1145/290941.290972\">10.1145/290941.290972</a>."},"type":"conference","doi":"10.1145/290941.290972","publication_identifier":{"isbn":["978-1-58113-015-7"],"issn":["01635840"]},"_id":"11897","title":"Improved algorithms for topic distillation in a hyperlinked environment","month":"08","publication_status":"published","conference":{"end_date":"1998-08-28","location":"Melbourne, Australia","start_date":"1998-08-24","name":"SIGIR: International Conference on Research and Development in Information Retrieval"},"scopus_import":"1","publisher":"Association for Computing Machinery"}