In the AdTech mobile-app industry, bidding for each and every ad-request at a suitable price and in real-time is absolutely critical. Thus, there is always a need for more scalable and more accurate prediction models, which drive higher revenue.
Given the strengths of Deep learning to evaluate higher-order interactions between features and accordingly weight these, and the ability of Factorisation machines to reduce the cardinality of categorical features, the NFFM is a model that can work with high-cardinality categorical features and make better predictions than traditional logistic regression and tree models. Furthermore, the NFFM can also provide decent generalized predictions for unseen feature values.
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Time & Date
Start: July 25, 2018 at
End: July 25, 2018 at