Information filtering based on user behavior analysis and best match text retrieval
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In this paper, we propose an automatic rating technique to collect the interest of users on the contents, such as e-books and electronic catalogs that are composed of XML documents, for developing a personalized recommender system. Our approach focuses on a method to collect implicit rating values for the elements in an XML document accessed by a user, when the content is converted into HTML format. In general, existing implicit rating techniques collect rating values after analyzing access logs in batch mode, however our method can collect the rating values in realtime. As a result ofexp erimentation, we show that the implicit rating values collected by the proposed method are strongly correlated with explicit rating values.