Original article was published by /u/Yuqing7 on Deep Learning
Google is one of the leading companies in recommender system research, development and deployment, and has been utilizing deep learning techniques such as multi-task learning, reinforcement learning and better user representations and fairness objectives to make its recommendations more personalized and effective. A group of researchers from Google Brain recently introduced a new open-sourced TensorFlow package, TensorFlow Recommenders (TFRS) designed to simplify the process of building, evaluating, and serving sophisticated recommender models.
Here is a quick read: Google Introduces TensorFlow Recommenders, ‘Helping Users Find What They Love’
TensorFlow Recommenders is now open-sourced on GitHub.