Training a recommendation model with dynamic embeddings noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog
Posted by Thushan Ganegedara (GDE), Haidong Rong (Nvidia), Wei Wei (Google) Modern recommenders heavily leverage embeddings to create vector representations of each user and candidate item. These embedding can then be used to calculate the similarity between users and items, so that users are… Read More »Training a recommendation model with dynamic embeddings noreply@blogger.com (TensorFlow Blog) The TensorFlow Blog