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Deep Learning with TensorFlow - Second Edition by Md. Rezaul Karim, Giancarlo Zaccone

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Factorization machines for recommendation systems

In this section, we will see two examples of developing a more robust recommendation system using FMs. We will start with a brief explanation of FM and their application to the cold-start recommendation problem.

Then we will see a short example of using an FM to developing a real-life recommendation system. After that, we will see an example using an improved version of the FM algorithm called a Neural Factorization Machine (NFM).

Factorization machines

FM-based techniques are at the cutting edge of personalization. They have proven to be extremely powerful with enough expressive capacity to generalize existing models, such as matrix/tensor factorization and polynomial kernel regression. In other ...

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