We’re gonna tag how much romance is in a movie. We’re not gonna tell you how much romance is in it, but we’re gonna rec­om­mend it,” Yellin said. “You’re gonna get an action row and it may have more or less romance in it based on what we know about you.” […] They could have pure­ly used com­pu­ta­tion. For exam­ple, look­ing at peo­ple with sim­i­lar view­ing habits and rec­om­mend­ing movies based on what they watched. (And Net­flix does use this kind of data, too.) But they went beyond that approach to look at the con­tent itself. “It’s a real com­bi­na­tion: machine-learned, algo­rithms, algo­rith­mic syn­tax,” Yellin said, “and also a bunch of geeks who love this stuff going deep.

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Kars Alfrink

Kars is a designer, researcher and educator focused on emerging technologies, social progress and the built environment.