Addressing Delayed Feedback for Continuous Training with Neural Networks in CTR prediction

15 Jul 2019Sofia Ira KtenaAlykhan TejaniLucas TheisPranay Kumar MyanaDeepak DilipkumarFerenc HuszarSteven YooWenzhe Shi

One of the challenges in display advertising is that the distribution of features and click through rate (CTR) can exhibit large shifts over time due to seasonality, changes to ad campaigns and other factors. The predominant strategy to keep up with these shifts is to train predictive models continuously, on fresh data, in order to prevent them from becoming stale... (read more)

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