On the universal list of dream jobs, being paid to sit around and watch TV and movies all day would almost certainly be near the top of the list. You may have heard a while back that a few lucky people do just that for Netflix. The streaming company employs about 40 individuals around the world to create metadata tags for its content. In effect, they watch TV shows and movies and enter information about them into a spreadsheet – how much violence is there, the gender of the main characters, tone and mood, is there nudity or cursing, and so on.
I had the chance to chat with Mike Hastings, who as the director of enhanced content team runs this program, during my visit to Netflix’s headquarters in Los Gatos., Calif. last week. I was curious as to why the company still uses humans for this particular task. Image recognition and machine learning has come a long way, with company’s such as Israel’s Anyclip effectively doing the same job, but without people.
“We’ve been doing this for about six years and humans were definitely the way at first,” says Hastings (no relation to chief executive Reed Hastings). “We’re still using humans today because it’s been the most reliable, trustworthy way of getting some of this data.” Read the rest of this entry »