Automatic Identification of Home Pages on the Web

Authors:
Alistair Kennedy;Michael Shepherd
Affiliations:
Dalhousie University, Halifax, Canada;Dalhousie University, Halifax, Canada
Venue:
HICSS '05 Proceedings of the Proceedings of the 38th Annual Hawaii International Conference on System Sciences (HICSS'05) - Track 4 - Volume 04
Year:
2005

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Abstract

The research reported in this paper is the first phase of a larger project on the automatic classification of Web pages by their genres. The long term goal is the incorporation of web page genre into the search process to improve the quality of the search results. In this phase, a neural net classifier was trained to distinguish home pages from non-home pages and to classify those home pages as personal home page, corporate home page or organization home page. Results indicate that the classifier is able to distinguish home pages from non-home pages and within the home page genre it is able to distinguish personal from corporate home pages. Organization home pages, however, were more difficult to distinguish from personal and corporate home pages.