Avoiding burnout is difficult to write about, because the basic premise is obnoxious. Burnout is a rich man’s game. Rice farmers don’t get burned out and spend long afternoons thinking about whether to switch to sorghum. Most people don’t have the luxury of thinking about their lives in those terms. But at the rarefied socioeconomic heights of computerland, it’s true that if you run a popular project by yourself for a long time, there’s a high risk that it will wear you out.
IAC is giddy over its investment. “Services like Tinder and OkCupid acclimate new groups of people to meeting online,” CEO Gregory Blatt said on a July 31 earnings call. “Once people have used technology to meet other people, no matter what the service was they initially used, a barrier’s been broken, and they’re more likely to do it again.” Tinder may one day draw revenue of its own, but for now it’s essentially a gateway drug to Match.com, which had operating income of $205 million for 2012. “The more people we can get to try these services, whether we own them or not, the more likely they are to use our other services,” Blatt added. “Of course, it’s better when we own them.”

A facial recognition search system identifies one or more likely names (or other personal identifiers) corresponding to the facial image(s) in a query as follows. After receiving the visual query with one or more facial images, the system identifies images that potentially match the respective facial image in accordance with visual similarity criteria. Then one or more persons associated with the potential images are identified. For each identified person, person-specific data comprising metrics of social connectivity to the requester are retrieved from a plurality of applications such as communications applications, social networking applications, calendar applications, and collaborative applications. An ordered list of persons is then generated by ranking the identified persons in accordance with at least metrics of visual similarity between the respective facial image and the potential image matches and with the social connection metrics. Finally, at least one person identifier from the list is sent to the requester.