The current implementation generates antidote data for matrix factorization based recommender systems. The framework consists of the following components: ("MF.py") provides an abstraction of a ...

Matrix factorization. Perhaps the most common type of recommender system algorithm is matrix factorization. The idea behind matrix factorization is to break a user-item feature matrix into a ...

This is the repository for the Master of Science thesis titled "GAN-based Matrix Factorization for Recommender Systems". - edervishaj/gan-mf ... In order to run the code and experiments you need ...

However, learning optimal binary codes for them is challenging due to binary constraints, even if squared loss is optimized. In this article, we propose a general framework for discrete matrix ...