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

no code implementations • 22 Jun 2023 • Shamal Shaikh, Venkateswara Rao Kagita, Vikas Kumar, Arun K Pujari

We exploit the inherent characteristics of CF algorithms to assess the confidence level of individual ratings and propose a semi-supervised approach for rating augmentation based on self-training.

Collaborative Filtering Data Augmentation +1