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Understanding Relevance Feedback in Search by ankitachandrol552 is a document available to read on EtoBox.
What is Understanding Relevance Feedback in Search about?
Relevance Feedback is an Information Retrieval technique that enhances search results based on user feedback regarding document relevance. It involves an iterative process where users provide input on initial search results, allowing the system to refine queries and improve document retrieval. The method includes explicit, implicit, and pseudo feedback types, utilizing the Rocchio Algorithm to boost precision and recall, though it requires user effort and may lead to query drift.
- Author
- ankitachandrol552
- Language
- EN