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Taylor Foust

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From Valid to Useful: Post-Verification Acquisition for Recursive Self-Improving Recommendation

Tonmoy Hasan, Taylor Foust, Shao Tang وآخرون · 2026

Sequential recommenders can generate synthetic interaction sequences and retrain on the augmented corpus in a recursive self-improvement loop. To limit error accumulation, current methods verify each generated sequence remains predictive of the user's real interactions and discard those that drift away from it. Verific …

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