Ranking SVM

Ranking SVM is a machine learning technique designed to order items based on their relevance or importance, rather than simply classifying them as yes/no. It learns from examples where some items should be ranked higher than others, such as search results for relevant documents. By analyzing the features of items that should appear first, it develops a model that can predict the best order for new data. This approach is useful in situations like search engines or recommendation systems, helping to display the most relevant results at the top.