Tag: data visualizations

Behind the Banner, A Visualization of the Adtech Ecosystem

I’m very proud to announce “Behind the Banner“, a visualization I’ve been producing with Jer Thorp and his team from The Office for Creative Research, underwritten by Adobe as part of the upcoming CM Summit next week. You can read more about it in this release, but the real story of this project starts with my own quest to understand the world of programmatic trading of advertising inventory – a world that at times feels rather like a hot mess, and at other times, like the future of not only all media, but all data-driven experiences we’ll have as a society, period.

I’m a fan of Terry Kawaja and his Lumascapes – Terry was an advisory to us as we iterated this project. But I’ve always been a bit mystified by those diagrams – you have to be pretty well steeped in the world of adtech to grok how all those companies work together. My goal with Behind the Banner was to demystify the 200 or so milliseconds driving each ad impression – to break down the steps, identify the players, make it a living thing. I think this first crack goes a long way toward doing that – like every producer, I’m not entirely satisfied with it, but damn, it’s the best thing I’ve seen out there so far.

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Yahoo Visualizes Its Content CORE

Yahoo has always been proud of the algorithms that drive its choice of personalized content, but it’s hard to grok exactly what they do behind the scenes to make the magic happen. Today the company released a visualization of its “C.O.R.E.” (Content Optimization and Relevance Engine) technology, and the result is pretty cool. From a release sent to me by Yahoo:

 

  • C.O.R.E. (Content Optimization and Relevance Engine) is a suite of technologies developed by Yahoo! Labs to surface the stories most interesting to you, based on your reading behavior over time.
  • Every hour C.O.R.E. processes 1.2 terrabytes of data in order to learn how a user’s behaviors and interests influence the likelihood of clicking on a specific article. And, every day, C.O.R.E. personalizes 2.2 billion pieces of content for Yahoo! users.
  • Since optimizing with C.O.R.E., Yahoo!’s Homepage click-through rate has increased 300%.
  • Yahoo!’s personalization approach is a clever mix of scientific algorithms and human judgment, as editors have control to override C.O.R.E. at any time, to ensure certain stories are seen.
  • Initially developed within Yahoo! Labs, C.O.R.E. has become a vital tool used throughout the day by editors across the company to bring our users personalized news, first.

The visualization lets you see stories through filters of gender, age, and interest. The image above, for example, shows a male in may age range interested in business and finance. Well worth playing around with, and a very good example of what I call “dependent web” content.

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