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1.Dataset: Movielen-1m, Pinterest-20, KnowledgeBase-CC(private dataset, first public. If quoted, please cite this url.) testset includes one positive item and 99 negative items for each user.

2.Evaluation: HR@10, NDCG@10

3.Model: SVDBias, NCF, DMF, PMF, IRT-MF, BMF, BNMF

4.IRT-MF: Knowledge Recommendation based on Item Response Theory (SKG2019)

5.BLFM:Probabilistic_Latent_Factor_Model_for_Collaborative_Filtering_with_Bayesian_Inference(ICPR2020)

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Recommendation System with Bayesian inference

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