Product suggestion based on machine learning

Dr. Anumaan shah

Abstract


There has been a surge in interest in recommender systems that use machine learning approaches. Because there are so many explicit and implicit features that may be utilized to estimate user preference, scalable and accurate algorithms, as well as a system with high availability and scalability, are required. The ALS method is an improved form of latent factor models that uses matrix factorization and has high scalability and prediction accuracy.

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References


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