Eugene Yan • 1/6/2020

Building a Strong Baseline Recommender in PyTorch, on a Laptop

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This technical article details the process of building a baseline recommender system using PyTorch on a standard laptop. It covers data acquisition from the Amazon review dataset, parsing large JSON files, and implementing seven different recsys approaches, including matrix factorization and techniques from graphs and NLP, with comparisons on real-world data.

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#Machine Learning #matrix factorization #Pytorch
Building a Strong Baseline Recommender in PyTorch, on a Laptop

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