Similarity Explanation

Similarity Explanation is a method that calculates and explains the similarity between data objects, aiming to reveal the associations and differences among them to provide a basis for decision-making. Its goal is to quantify similarity and generate interpretable results, helping users understand the logical relationships behind the data. This method has significant application value in recommendation systems, information retrieval, data mining, and other fields, as it can enhance the transparency and user trust of the system.