This afternoon I was reading a New York Times article about improving Netflix’s Cinematch video suggestion algorithm. The article is a great overview about the benefits of using consumer activity data for commercial purposes. The more data we have about consumer activity, the more likely we are able to predict their purchase behavior. One thing that is missing from the equation, as the New York Times points out, is the ability to track consumer emotion when they are browsing the web.
In one sense, collaborative filtering is less personalized than a store clerk. The clerk, in theory anyway, knows a lot about you, like your age and profession and what sort of things you enjoy; she can even read your current mood. (Are you feeling lousy? Maybe it’s not the day for “Apocalypse Now.”) A collaborative-filtering program, in contrast, knows very little about you — only what you’ve bought at a Web site and whether you rated it highly or not.
So can’t Facebook or someone on the platform develop an application for judging your emotion based on your Facebook status? Someone once jokingly told me that Facebook can predict whether or not you will break up with your significant other in the near future based on your Facebook activity. With all that data, can’t Facebook also likely tell you what sort of emotional state you are in?
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