The science of online dating

Suggest encoding ‘dislikes’ and ‘matches’ alongside ‘likes’ information to learn better latent representations for users. Based on this, they combine a suite of matrix factorization, learning-to-rank and neural network algorithms with a profile metadata-driven strategy to cope with cold users. Introduces a representation based on complex numbers that jointly captures likeness and similarity between users, …