A Complete Guide To Tensorflow Recommenders (with Python code)

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

  1. What are Tensorflow Recommenders?
  2. Retrieval System
  3. Implementing Tensorflow Recommenders

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