Structured Conformal Inference for Matrix Completion with Applications to Group Recommender Systems

arXiv:2404.17561v1 Announce Type: cross
Abstract: We develop a conformal inference method to construct joint confidence regions for structured groups of missing entries within a sparsely observed matrix. This method is useful to provide reliable uncertainty estimation for group-level collaborative filtering; for example, it can be applied to help suggest a movie for a group of friends to watch together. Unlike standard conformal techniques, which make inferences for one individual at a time, our method achieves stronger group-level guarantees by carefully …

abstract applications arxiv collaborative collaborative filtering confidence construct example filtering inference matrix recommender systems stat.me stat.ml systems type uncertainty