
About
Claudio Pomo is an Assistant Professor at Polytechnic University of Bari, affiliated with SisinfLab. His research focuses on artificial intelligence, machine learning, and recommender systems, with particular expertise in multimodal recommendation systems and information retrieval.
Research interests include developing frameworks for reproducible research in information retrieval, addressing challenges in multimodal recommendation systems, and creating standardized datasets and evaluation metrics. His work emphasizes balancing algorithmic accuracy with ethical considerations in real-world deployments.
Recent publications demonstrate a strong focus on reproducibility in recommender systems research, multimodal feature extraction, and handling incomplete data. Trends include increasing attention to temporal dynamics in content recommendation and explainable AI approaches.
Dr. Pomo teaches courses in Artificial Intelligence and Machine Learning and Big Data Analytics. He is actively involved in organizing academic events such as the International Conference on Web Engineering.
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