Towards Bridging the Gap between Personalization and Information Extraction
نویسندگان
چکیده
In this paper we propose to integrate Information Extraction and Adaptive Personalization in order to empower information access and Web search experience. We describe the PIE (Personalized Information Extraction) architecture which exploits zz-structures for organizing information and user profiles for capturing personal user interests in digital libraries. We apply our model to Bibliomed system in order to extend its functionalities.
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تاریخ انتشار 2008