Web Page Classification: Features and Algorithms

Xiaoguang Qi and Brian D. Davison

Abstract
Classification of web page content is essential to many tasks in web information retrieval such as maintaining web directories and focused crawling. The uncontrolled nature of web content presents additional challenges to web page classification as compared to traditional text classification, but the interconnected nature of hypertext also provides features that can assist the process.

As we review work in web page classification, we note the importance of these web-specific features and algorithms, describe state-of-the-art practices, and track the underlying assumptions behind the use of information from neighboring pages.

To be published in ACM Computing Surveys. Accepted June 2008; expected publication in Vol. 41, Issue 3 (September 2009).

An earlier draft was published as X. Qi and B. D. Davison, Web Page Classification: Features and Algorithms, Technical Report LU-CSE-07-010, Dept. of Computer Science and Engineering, Lehigh University, June 2007.

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Last modified: 9 November 2008 Brian D. Davison