Collaborative filtering generates recommendations by exploiting user-item similarities based on rating data, which often contains numerous unrated items. To predict scores for unrated items, matrix ...

Abstract: Trust-aware recommender system (TARS) can provide more relevant recommendation and more accurate rating predictions than the traditional recommender system by taking the trust network into ...

A modern Python toolkit for analyzing antimicrobial resistance (AMR) surveillance data using matrix factorization techniques. This package implements collaborative filtering approaches to predict ...

1 International Institute of Finance, School of Management, University of Science and Technology of China, Hefei, China 2 Department of Preventive Medicine, Shantou University Medical College, Shantou ...

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