most citedData augmentation and refinement for recommender system: A semi-supervised approach using maximum margin matrix factorization

2 citations · 2 across the 1 of their papers we have counts for

collaborators

1 paper

cs.IR2023★ 2 cited

Data augmentation and refinement for recommender system: A semi-supervised approach using maximum margin matrix factorization

Shamal Shaikh, Venkateswara Rao Kagita, Vikas Kumar +1

Collaborative filtering (CF) has become a popular method for developing recommender systems (RSs) where ratings of a user for new items are predicted based on her past preferences…