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Abstract:
Many have noted the need for software to assist people in locating information on the World Wide Web. Although effective tools exist, they typically rely on brute-force scanning and indexing of Web pages for later keyword-based retrieval. Such tools ignore at least two sources of knowledge which might prove useful in navigation and retrieval: (1) the structure of the Web as a graph, and (2) the sequence in which human users search the web. We describe a learning apprentice system, called WebWatcher, which both performs the kind of indexing used by Web catalogers like Lycos, and attempts to exploit the two sources of knowledge listed above.