Learning-To-Rank

Learning to Rank is the application of machine learning in building ranking models, aiming to optimize the order of information through algorithms to improve the relevance and user experience in scenarios such as search results and news recommendations. This technology learns user preferences and behavior patterns by training on large amounts of data, thereby achieving more accurate personalized recommendations and information retrieval.