Movie Recommendation System using the 10M MovieLens dataset
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Updated
Feb 8, 2022 - R
Movie Recommendation System using the 10M MovieLens dataset
Movie Recommendation System is an R project to enhance your Machine Learning knowledge. It is simply a recommendation system that provides consumers with various suggestions based on their history and interests.
Spring2020-Project4-spring2020-project4-group7 created by GitHub Classroom
Movie recommendation system using the 10 million MovieLens dataset.
This R package is used for generating automatic recommendations with association rule learning, using mined association rules from the arules package.
project2-cycle2-10 created by Classroom for GitHub
Fixed-volume neighborhood classifier with binary feedback
implementation of recommender system on R include:UBCF,Slope One,SVD//毕业论文测试
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