The Yahoo Academic Relations team consists of campus relations managers and program managers to create a customized approach to campus engagements. Covering about 30 schools in the U.S. and more than 10 in India, the team works with key contacts on campus to strengthen Yahoo’s relationship with academia and get the most value for Yahoo’s business. We recently caught up with the team’s campus relations managers last month to capture what they do on their visits.
At Ad Age Digital Conference, Duncan Watts Explains His Model for Predicting Value of Influencers on Twitter
In the wake of last year’s Ideological Search success, the team at Yahoo Labs did our best yesterday to further our understanding of deep April Fool’s science. We used sophisticated methods from context-insensitive grammars, nonlinear pessimization and pseudorandom variables.
I love Austin. It's a fine city with weather so great in March that it makes me scared to visit in June. This was our first time at University of Texas in Austin, but we had an awesome visit.
This time we brought a mighty party of folks from Yahoo to do some classes. I gave a talk about how to optimize web applications for mobile and how YQL can be used for that.
David Reiley kicked of the 2010 India Big Thinkers Series on March 19th presenting "Does Retail Advertising Work? Measuring the Effects of Advertising on Sales via a Controlled Experiment on Yahoo".
Yahoo has built a new tool for this year’s tournament intended to determine which of these results are most likely.
We invite you to join a new experiment we cooked up at Yahoo Labs called Predictalot, a game that takes NCAA tournament pick ‘em to entirely new extremes.
Forget the brackets in the office NCAA Tournament pool. This year, Yahoo is offering an application drawing on the wisdom of crowds to make sense out of March Madness.
The responsibility to earn and keep our users’ trust is not just a matter of Yahoo policy (although that is critical too), it’s also a technical challenge that requires scientific innovation to continuously improve and maintain.
Even though machine learning has such a broad influence on the Internet, it can be quite difficult to recognize. This is primarily because machine learning’s benefits are often hidden -- they are the spam emails you don't see, the uninteresting news articles you don't see, and the irrelevant search results you don't see, just to name a few.