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OALib Journal期刊
ISSN: 2333-9721
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APPLYING SUPERVISED AND UN-SUPERVISED LEARNING APPROACHES FOR MOVIE RECOMMENDER SYSTEM

, PP. 18-22

Keywords: Machine Learning, Classification, Clustering, Recommender System

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Abstract:

In this research paper we are trying to compare supervised and un-supervised machine learning approaches for comparing to identify the necessity of these techniques for developing a recommender system for movies. Also we are trying to adjust the training and testing samples to get the best accuracy for the recommender system.

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