Systems and methods for determining items in a target domain to recommend to a user whom has not previously interacted with items in the target domain is described. The method comprises generating an auxiliary domain user embedding based on user affinities for each of a plurality of items in an auxiliary domain and embeddings for each of the plurality of items in the auxiliary domain, providing the auxiliary domain user embedding as input to a neural network configured to output a target domain user embedding, predicting target domain user affinities for items in the target domain based, at least in part, on a similarity measure between the target domain user embedding and an embedding for at least one item in the target domain, and determining a set of items in the target domain to recommend to the user based, at least in part, on the predicted target domain user affinities.