EAN: 9783031007149

SYNTHESIS LECTURES ON DATA MANAGEMENT WEB PAG...

One of the application areas of data mining is the World Wide Web (WWW or Web)  which serves as
a huge  widely distributed  global information service for every kind of information such as
news  advertisements  consumer information  financial management  education  government 
e-commerce  health services  and many other information services. The Web also contains a rich
and dynamic collection of hyperlink information  Web page access and usage information 
providing sources for data mining. The amount of information on the Web is growing rapidly  as
well as the number of Web sites and Web pages per Web site. Consequently  it has become more
difficult to find relevant and useful information for Web users. Web usage mining is concerned
with guiding the Web users to discover useful knowledge and supporting them for
decision-making. In that context  predicting the needs of a Web user as she visits Web sites
has gained importance. The requirement for predicting user needs in order to guide the user in
a Web site and improve the usability of the Web site can be addressed by recommending pages to
the user that are related to the interest of the user at that time. 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. Table of
Contents: Introduction to Web Page Recommender Systems   Preprocessing for Web Page Recommender
Models   Pattern Extraction   Evaluation Metrics

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