Soumen Chakrabarti, Kunal Punera, Mallela Subramanyam  Home/Search
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Abstract: The organization of HTML into a tag tree structure, which is rendered by browsers as roughly rectangular regions with embedded text and HREF links, greatly helps surfers locate and click on links that best satisfy their information need. Can an automatic program emulate this human behavior and thereby learn to predict the relevance of an unseen HREF target page w.r.t. an information need, based on information limited to the HREF source page? Such a capability would be of great interest in... (Update)
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BibTeX entry: (Update)
S. Chakrabarti, K. Punera, and M. Subramanyam. Accelerated focused crawling through online relevance feedback. In WWW, Hawaii, May 2002. ACM. http://citeseer.ist.psu.edu/chakrabarti02accelerated.html More
@inproceedings{ chakrabarti02accelerated,
author = "S. Chakrabarti and K. Punera and M. Subramanyam",
title = "Accelerated focused crawling through online relevance feedback",
booktitle = "{WWW}, Hawaii",
month = "May",
publisher = "ACM",
year = "2002",
url = "citeseer.ist.psu.edu/chakrabarti02accelerated.html" }
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