ecommerce

Group-by data augmentation for e-commerce datasets Motivation Data augmentation ingredients KeyGenerator Elements of model design Results Further evaluation and future work Conclusion

Introducing a latest training strategy for learning user preferences to multi-attribute offers based on a multi-task approachThe most important intuition is as follows: the group-by training forces a model to make sense of all...

Find out how to predict the acquisition intent of users in e-commerce marketplaces

Learn how we use machine learning to focus on marketplace users with promoting campaigns based on their specific interests.An introduction to the Adevinta marketplaces projectThe concept is straightforward: at Adevinta, we would like to...

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