DGRM: Diffusion-GAN recommendation model to alleviate the mode collapse problem in sparse environments.

A novel joint neural collaborative filtering incorporating rating reliability.

Matrix factorization recommender based on adaptive Gaussian differential privacy for implicit feedback.

A novel fuzzy neural collaborative filtering for recommender systems.

Providing prediction reliability through deep neural networks for recommender systems.

Probabilistic Matrix Factorization Recommendation Approach for Integrating Multiple Information Sources.

Sentiment based multi-index integrated scoring method to improve the accuracy of recommender system.

An efficient and accurate recommendation strategy using degree classification criteria for item-based collaborative filtering.

A Novel K-medoids clustering recommendation algorithm based on probability distribution for collaborative filtering.

融合Jensen-Shannon散度的推荐算法 (Recommendation Algorithm Based on Jensen-Shannon Divergence).

A similarity measure based on Kullback-Leibler divergence for collaborative filtering in sparse data.

An intuitionistic fuzzy set based hybrid similarity model for recommender system.

A hybrid user similarity model for collaborative filtering.