Recommendation System, Machine Learning, AI, Artificial Intelligence, Programming.
is widely used for recommender system testing and benchmarking.. The results we got can be seen below. Pure CF method based on SVD Matrix Factorization The default sparsity of the user-item matrix was 99.28%, and the average RMSE error tends to be around 1.0682 with minimum standard deviation.