Loading…
Back To Schedule
Sunday, October 22 • 10:55am - 11:25am
Algorithmic Content Augmentation: Applying Data Science to Internet Media

Log in to save this to your schedule, view media, leave feedback and see who's attending!

Feedback form is now closed.
With increasing competition for internet traffic, content creators and publishers are looking for new ways to enhance user experiences. With Career Trend (careertrend.com), we wanted to provide unique, data-infused tools, and present data in a way that is new and useful to users.
We algorithmically created 340 occupation landing pages infused with data spanning several government agencies and different classification systems. We present occupation data as a time series, comparing past predictions with actual data collected, a way these data have not been presented before. An example of one of these pages is here (careertrend.com/software-developers.html), with a full listing here (careertrend.com/nav-occupations.html). We surface links to related occupations on each article page using document similarity techniques.

In addition we created unique tools like the career word cloud quiz (careertrend.com/quiz.html) using a recursive clustering algorithm which enforces (roughly) equal cluster sizes to improve the usability of the quiz.

Career Trend is powered by looking for new ways to extract value and insight from data, from presenting disparate data in a new way to inventive use of machine learning tools like clustering.

Speakers
avatar for Matthew Theisen

Matthew Theisen

Software Engineer, Leaf Group
I'm currently a software engineer at Leaf Group working on web content and analytics. I look for ways to algorithmically understand and enhance user experiences on our content channels. This includes article recommendation, finding related images, and infusing data into content pages.In... Read More →


Sunday October 22, 2017 10:55am - 11:25am PDT
Room E Room E