A Weblog Recommender using Machine Learning and Semantic Web Technologies
نویسندگان
چکیده
The semantic web is an extension of the existing web that adds a layer of information semantically describing the data on the web. It is an emergent technology that has great potential. In this paper we give a discussion of the background to the semantic web followed by an introduction to one of the areas where it is starting to be introduced – weblogging. A Weblog or blog is a website that aggregates data from other, usually similar, websites. This paper goes on to propose a system that will make use of machine learning technologies to classify and recommend weblogs to users. CONTENTS
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تاریخ انتشار 2003