LambdaRank

LambdaRank is a machine learning technique used to improve search engine results by better ranking pages based on their relevance. It works by adjusting the scores of items (like web pages) to better match user preferences, learning from user interactions and feedback. LambdaRank uses a special approach called "pairwise comparison," where it compares two items at a time to see which should rank higher. This process helps the system understand subtle differences in relevance, resulting in a more accurate ordering of results that align more closely with what users find useful.