Optimizing for Multiple Performance Metrics

Recently, Turn research scientists Sergey Faleev and Jianqiang Shen and others from the applied science team wrote a paper accepted by the KDD conference, one of the most prestigious conferences in the data science field.

The paper, called “Joint Optimization of Multiple Performance Metrics in Online Video Advertising,” proposes a framework based on a feedback mechanism where multiple video-specific performance indicators are optimized, all the while making sure advertisers’ delivery constraints, such as budget and user reach, are satisfied.

Download the paper here, and see the video below for an explanation of the technology from Turn research scientists Sergey Faleev and Jianqiang Shen, and director of product management Ethan Lubka.

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