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Covariate-assisted Sparse Tensor Completion
[article]
2022
arXiv
pre-print
We aim to provably complete a sparse and highly-missing tensor in the presence of covariate information along tensor modes. Our motivation comes from online advertising where users click-through-rates (CTR) on ads over various devices form a CTR tensor that has about 96% missing entries and has many zeros on non-missing entries, which makes the standalone tensor completion method unsatisfactory. Beside the CTR tensor, additional ad features or user characteristics are often available. In this
arXiv:2103.06428v3
fatcat:y6ysnxhjqrba7hgi33zqebtdp4