Just as IBM's Watson beat two Jeopardy champions, I wondered, could my company's technology beat me, the founder and CEO of Filtered?
I went up against magpie, the set of algorithms that Filtered uses to recommend learning content to people at businesses who are looking to pick up new skills. The challenge involved 200 Harvard Business Review articles. One slice of the work our algorithms carry out is to classify articles according to their value in helping someone learn useful skills. One of the most important aspects of this is tagging — applying certain labels to each article so that it will appear for users in the right places, at the right times.
Who did a better job? The short answer is that it was a blow out victory for magpie — but the one way in which I did better was important and instructive.
From Scientific American
View Full Article – May Require Paid Subscription