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Machine Learning to Be Used in Recommendation Systems by Shashank H V is a Engineering article available to read on EtoBox.

What is Machine Learning to Be Used in Recommendation Systems about?

Abstract: Basic information on machine learning and recommendation systems, as well as case studies, are included in the paper. The techniques used in such systems, known as machine learning, were investigated in greater detail. The essay concentrated on content filtering algorithms as well as proximity- based filtering algorithms. There are explanations of the commonalities, restrictions, and benefits of different algorithms, along with measures for evaluating the algorithm and calculating thesampling result of the assessment prediction. The categorization of the used information from the Movie critic portal kicks off the project's planning phase. The technology, design, and deployment of the aforementioned algorithms are then displayed.The next part gives an overview of the findings and suggestions development of computer simulations of how the algorithms work. At the end of the assessment, you'll find a summary, an evaluation of the effectiveness of suggestion methods, and lessons learned from the study, as well as a request for more research on the subject.

Who reads Machine Learning to Be Used in Recommendation Systems?

Author

Shashank H V

Publisher

International Journal for Research in Applied Science and Engineering Technology (IJRASET)

Published

2022

Language

EN

Field

Engineering (Physical Sciences)