What is relevance feedback?

Information Retrieval Questions



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What is relevance feedback?

Relevance feedback is a technique used in information retrieval systems to improve the accuracy and relevance of search results. It involves obtaining feedback from the user regarding the relevance of the initially retrieved documents and using this feedback to modify the search query or ranking algorithm. This iterative process helps to refine the search results and better match the user's information needs. Relevance feedback can be explicit, where the user explicitly indicates the relevance of documents, or implicit, where the system infers relevance based on user behavior and interactions.