A Framework for Web Host Quality Detection

With the rapid growth of World Wide Web, finding useful and desired information in a short amount of time becomes an important issue for Web users. Search engines and focused crawlers help people to navigate the internet. A user expresses her information need in the form of a query and there is huge number of Web pages returning to this query. However, the majority of users view only a single page (the top 10 Web pages as ranked by the search engine) returned by a search engine. Even if the returned Web pages do not provide the exact information they need, the users also do not refine their query based on the returning results of their initial query. Thus, not only finding relevant Web pages but also ranking them plays an important role for the search engines. For this reason, determining the quality of Web pages is one of the main priorities of search engines, since low quality Web pages cause search engines results to be extremely vague and flooded with irrelevant Web pages. In this paper, we propose a novel method for determining the quality of Web pages. The proposed method first identifies the genre of Web pages and then it determines the quality of Web pages based on their genre. Our experimental results show that our proposed method is very effective and efficient.