relevance feedback

Relevance feedback is a process used in information retrieval systems, like search engines, to improve results based on user input. When a user searches for something and reviews the initial results, they can indicate which ones are helpful or not. The system then uses this feedback to refine the search, adjusting its criteria to better match what the user wants. This iterative process helps deliver more accurate and personalized results over time, making searches more effective by learning from the user's preferences.