Developing comprehensive recommendation systems is a tedious and complicated effort for both novices and experts. It involves several steps starting with obtaining a dataset, embedding the vectors, and, most importantly, the complete coding technique To avoid the complexity in developing the recommender systems, TensorFlow has launched an open-source package called Tensorflow Recommenders. Here in this article, we will discuss the concept behind Tensorflow Recommenders and with its implementation, we will see how quickly we can set up a system. The major points to be covered further are listed below.
Points to be Discussed
- What are Tensorflow Recommenders?
- Retrieval System
- Implementing Tensorflow Recommenders