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Adopting Mental Similarity Notions of Categorical Data Objects to Algorithmic Similarity Functions
Similarity functions are essential for many analytical tasks. Goal: create a similarity function based on visual-interactive user feedback to capture the Mental Similarity Notion in the heads of domain experts. Inspiring solutions for numerical data exist. However, the interpretation of user feedback for categorical data attributes poses additional challenges (see Test Case). Our Solution: a Feedback Model with an additional improvement step for categorical attributes.