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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3205610
Abstract: Collaborative filtering is the most widely used method in recommendation algorithms, but it still faces the serious problem of data sparsity. Traditional collaborative filtering uses matrix decomposition to learn the latent features of users and…
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