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MatteoFasulo/H-M-Recommendations

H&M Personalized Fashion Recommendations: an Implicit ALS Product Recommendations System

H-M-Recommendations

H&M Personalized Fashion Recommendations an Implicit ALS Product Recommendations System

Kaggle

Kaggle competition to develop product recommendations based on data from previous transactions, as well as from customer and product meta data. The available meta data spans from simple data, such as garment type and customer age, to text data from product descriptions, to image data from garment images.

Notebook (Kaggle)

https://www.kaggle.com/code/matteofasuloo/user-item-alternating-least-squares

Dataset (Kaggle)

https://www.kaggle.com/competitions/h-and-m-personalized-fashion-recommendations/data

Competition (Kaggle)

https://www.kaggle.com/competitions/h-and-m-personalized-fashion-recommendations/overview

Contributors

Apache License 2.0
Created October 30, 2022
Updated October 8, 2023
MatteoFasulo/H-M-Recommendations | GitHunt