Abstract

Web page recommendation system is one kind of the recommendation system based on the user's current web navigation behavior that automatically recommends web pages in which a particular user is most interesting. For effective web page recommendations, it is very crucial and difficult to find the useful and sufficient knowledge from web usage data. This paper discusses taxonomy of recommendation system techniques and some of open challenges and issues in development of recommendation systems. The paper has performed the case studies of some of main web page recommendation frameworks based on semantic web usage mining.

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