Matchmaking Audiences to Content
At BuzzFeed, it’s our mission to keep our social media audiences maximally engaged, by leveraging the hundreds of original articles, videos, and graphics we produce daily. With our vast network of social media distribution channels, we have a team of human curators who handpick the content that is most relevant and interesting to each channel’s audience. Of course, as our content production scales, curation becomes increasingly difficult. To this end, we’ve built a curation service, powered by natural language processing and deep learning techniques. I’ll discuss the implications of this use case, how we developed our methods, and how the service cohabitates with existing human curation.