Abstract
With the development of society, the total amount of library is orders of magnitude increase, people faced a large number
of books and literature don’t know how to choice, and the traditional book retrieval technology is not to provide readers with the
active and personalized search results. Recommendation system is an intelligent system, it is the user to the target object selection,
evaluation of large amounts of information through specific algorithms for processing, according to the processing results in the formation
of recommendation list is recommended to the user, in order to provide decision-making reference. This article will study and
discuss the collaborative filtering recommendation system based on classification.
Key words
collaborative filtering /
collaborative filtering based on classification /
recommendation system
Cite this article
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Chen Zebo.
Research on the Application of Collaborative Filtering Recommendation System Based on
Classification[J]. Computer & Telecommunication. 2015(9): 60-62
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