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Optimizing for Multiple Performance Metrics

by Amobee, June 28, 2016

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.



About Amobee

Founded in 2005, Amobee is an advertising platform that understands how people consume content. Our goal is to optimize outcomes for advertisers and media companies, while providing a better consumer experience. Through our platform, we help customers further their audience development, optimize their cross channel performance across all TV, connected TV, and digital media, and drive new customer growth through detailed analytics and reporting. Amobee is a wholly owned subsidiary of Tremor International, a collection of brands built to unite creativity, data and technology across the open internet.

If you’re curious to learn more, watch the on-demand demo or take a deep dive into our Research & Insights section where you can find recent webinars on-demand, media plan insights & activation templates, and more data-driven content. If you’re ready to take the next step into a sustainable, consumer-first advertising future, contact us today.

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