Conceptrelevance feedback
Relevance Feedback
An iterative mechanism in information retrieval in which users mark initial search results as relevant or irrelevant and the system adjusts subsequent retrieval strategies accordingly; in AI dialogue it is internalized as a correction signal across multiple rounds of follow-up questions.
Timeline (last 90 days)
Oct 30
In the field of information retrieval, the iterative process of 'query-feedback-requery' is called relevance feedback.
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