arXiv Machine Learning August 3, 2026 By Seungho Han, Byeongchang Kim, Jin Yu

Don't Contrast the Impossible: Region-Constrained Batching for Contrastive User Modeling on a Local Community Platform

Read the original on arXiv Machine Learning →

arXiv:2607. 28971v1 Announce Type: cross Abstract: Contrastive learning is widely used for user modeling in large-scale recommender systems, where standard in-batch negatives implicitly assume universal exposure that any user can be shown any item.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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