In this project, a collaborative filtering model with Weighted Alternating Least Squares (WALS) algorithm for Matrix Factorization for recommending products from a specific manufacturer to a store is structured using Tensorflow, and submitted to Google AI Platform.
The data pre-processing and model scripts explained in detail can be found in CF_Recommendation_System.ipynb notebook.