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World Congress 2023 • Oct 6, 2023

How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)

Dora Petrella

A data science team replaced their underperforming SQL recommender with a Meta-Prod2Vec neural network. Learn how injecting article metadata solved long-tail recommendations and boosted product coverage by 45 percent.

How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale) thumbnail

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Matching moments

1:50 min

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