Gaussian Embeddings for Collaborative Filtering

Abstract

Most collaborative filtering systems, such as matrix factorization, use vector representations for items and users. Those representations are deterministic, and do not allow modeling the uncertainty of the learned representation, which can be useful when a user has a small number of rated items (cold start), or when there is conflicting information about… (More)
DOI: 10.1145/3077136.3080722

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