document: Accelerated focused crawling through online relevance feedback 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 focused crawling and resource discovery , because it can fine-tune the priority of unvisited URLs in the crawl frontier , and reduce the number of irrelevant pages which are fetched and discarded .
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