STELLA meets MLentory: Evaluating Search for Machine Learning Models
MLentory, developed by ZB MED as part of NFDI4DS, brings together machine learning model metadata from platforms such as Hugging Face, OpenML and AI4Life into a unified discovery portal. As a relatively new registry, MLentory faces a familiar challenge: without years of interaction data, it is difficult to know whether search rankings actually reflect what users find relevant. To better understand how search rankings perform in practice, MLentory has now been integrated with the STELLA evaluation framework, enabling live evaluation of lexical and semantic search approaches directly within the portal.