Automatic Quality Assessment for Internet Pages
Thomas Mandl · IGI Global eBooks · 2008
Automatic quality assessment of Web pages needs to complement human information work in the current situation of an information overload. Several systems for this task have been developed and evaluated. Automatic quality assessments are most often based on the features of a Web page itself or on external information. Promising results have been achieved by systems learning to associate human judgments with Web page features. Automatic evaluation of Internet resources according to various quality criteria is a new research field emerging from several disciplines. This chapter presents the most prominent systems and prototypes implemented so far and analyzes the knowledge sources exploited for these approaches.