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.
Read NextAll Blog Posts
How Video Drives Cross-Channel Ad Performance
While display advertising is a tried and true means of targeting users at the buy stage of the consumer journey, cross-channel campaigns, using both display and video ad units, reveal extraordinary efficiencies.
October 20, 2016
Turn Towards Automation: Transcoding Video
At Turn, automation is part of our culture. We will try to automate anything and everything possible to increase efficiency. In this blog post, we are going to talk about an engineering automation project we did to scale digital video advertising called the “Turn Video Transcoder.”
April 4, 2017
Turn Technology Drives Marketers Forward
Turn is building industry leading technology, enabling brands and agencies to solve complex marketing challenges. Watch this new video showcasing the passion and expertise of the team that builds tech…
March 10, 2016