Web Page Recommendation Models

This monograph gives an overview of the research in the area of discovering and modeling the users' interest in order to recommend related Web pages. The Web page recommender systems studied in this monograph are categorized according to the data mining algorithms they use for recommendation. One of the application areas of data mining: the World Wide Web (WWW) serves as a huge, widely distributed, global information service center for every kind of information (e.g., news, advertisements, consumer information, financial management, education, government, e-commerce, and health services). The amount of information on the Web is also growing rapidly, along with the number of Web sites and Web pages per Web site. This growth makes it more difficult to find relevant and useful information to be used as a guide for Web users to discover useful knowledge that supports decision-making. Therefore, the ability to predict the needs of a Web user as (s)he visits Web sites has gained importance.