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A hybrid movie recommender system and rating prediction model
(International Journal of Information Technology and Applied Sciences, 2021-07-01)
In the current era, a rapid increase in data volume produces redundant information on the internet. This predicts
the appropriate items for users a great challenge in information systems. As a result, recommender systems ...
Sparse data embedding and prediction by tropical matrix factorization
(BMC Bioinformatics, 2021)
Background Matrix factorization methods are linear models, with limited capability to model complex relations. In our work, we use tropical semiring to introduce non-linearity into matrix factorization models. We propose ...