Recommendation is always a hot topic in Big Data area. Many popular meth-ods are based on model-based collaborative filtering, improving the model and algorithm within the framework of matrix factorization. Some models exploits contents of the items to optimize the latent feature matrix of the items. How-ever, these models tend to prefer the data of the item contents, while ignoring the similarity of the items in rating matrix, though this similairty is the core of the traditional memory-based collaborative...
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