A Case Study of Machine Learning Techniques for Ad Click-Through Rate Prediction

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Source arXiv

Machine Learning

Information Retrieval

A Case Study of Machine Learning Techniques for Ad Click-Through Rate Prediction

On the Factory Floor: ML Engineering for Industrial-Scale Ads Recommendation Models

Predictive prediction of ad click-through rate(ctr)is a central problem for industrial-scale advertising systems.

This paper presents an industry case study highlighting important areas of current machine learning research and illustrating how impactful new machine learning methods are evaluated and madeuseful in a large-scale industrial setting.

Authors

Rohan Anil, Sandra Gadanho, Da Huang, Nijith Jacob, Zhuoshu Li, Dong Lin, Todd Phillips, Cristina Pop, Kevin Regan, Gil I. Shamir, Rakesh Shivanna, Qiqi Yan

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