COLLABORATIVE FILTERING RECOMMENDATION ALGORITHM BASED ON RATING REGION SUBSPACE

Collaborative filtering(CF) recommendation algorithm is widely used because of its reasonable Plastic Candy Moulds interpretability and simple process.However,datasets in recommendation systems have the characteristics of large scale,high sparsity and high dimensionality,which bring a great challenge for CF recommendation algorithms.To alleviate th