arXiv Machine Learning July 17, 2026 By Hector J. Garcia, Nick Clayton

Mutable Low-Rank Sketches for Retrain-Free Recommendation

Read the original on arXiv Machine Learning →

arXiv:2607. 15242v1 Announce Type: new Abstract: A common bottleneck in two-stage recommendation is embedding staleness: when a user rates a new item, their embedding remains fixed until the next retrain cycle.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Machine Learning.

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