[r/ML] [R] Literature on optimizing user feedback in the form of Thumbs up/ Thumbs down?

Summary

An ML practitioner is seeking literature on optimizing AI models using only existing binary user feedback (thumbs up/down) from a dataset. They need methods to evaluate and fine-tune their model without generating new responses for user interaction. This addresses the challenge of improving models with limited, pre-collected user preference data.

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