Book Recommending Using Text Categorization with Extracted Information

Abstract

Content-based recommender systems suggest documents , items, and services to users based on learning a proole of the user from rated examples containing information about the given items. Text categoriza-tion methods are very useful for this task but generally rely on unstructured text. We have developed a book-recommending system that utilizes semi… (More)

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