معرفی
Assoc. Prof. Dr. Eva Zangerle is an Associate Professor at the Department of Computer Science, University of Innsbruck. Her research focuses on Recommender Systems, Music Information Retrieval, and Natural Language Processing. She leads projects on hypergraph-based recommendation, emotion-driven music systems, and NLP tasks like authorship analysis. Notable contributions include the PAN workshop series, the EMMA emotion database, and studies on algorithm fairness.
Her work integrates machine learning with interdisciplinary applications, such as analyzing lyrical complexity trends and detecting generative AI content. She organizes international workshops like PERSPECTIVES on Recommender Systems Evaluation and contributes to initiatives like the MediaEval challenges. Her research bridges technical innovation with societal impact, addressing ethical AI and user-centric evaluation methodologies.
Eva Zangerle is affiliated with the DBIS group and actively publishes in top-tier conferences/journals. Her lab develops open-source tools for music recommendation and text analysis, emphasizing reproducibility and real-world applicability.
