Convolutional Gaussian Embeddings for Personalized Recommendation with Uncertainty

Junyang Jiang, Deqing Yang, Yanghua Xiao +1

Most of existing embedding based recommendation models use embeddings (vectors) corresponding to a single fixed point in low-dimensional space, to represent users and items. Such e…