LambdaMART

LambdaMART is a machine learning algorithm used to improve search engine results and relevance rankings. It combines gradient boosting techniques with a focus on learning from how well search results match user preferences. Essentially, LambdaMART tweaks the order of items in a list (like search results) to better meet user needs by learning from feedback and adjusting its predictions accordingly. This approach helps deliver more accurate, relevant results efficiently, making it particularly useful for complex ranking tasks such as search engine optimization and personalized recommendations.