Publications can be found on the Webis website, DBLP, Google Scholar, or Semantic Scholar.
Research Experience
From 2008 to 2013, Matthias Hagen led the junior research group “Intelligentes Lernen” (intelligent learning) at Bauhaus-Universität Weimar and from 2013 to 2018 he was Juniorprofessor of “Big Data Analytics” and leader of the junior research group “Big Data Analytics” in Weimar. In 2018, Matthias Hagen was appointed professor of “Big Data Analytics” at Martin-Luther-Universität Halle-Wittenberg, from where he moved to Jena in 2022.
Education
He studied computer science at Friedrich-Schiller-Universität Jena where he also obtained his PhD with a thesis on “Algorithmic and Computational Complexity Issues of MONET”.
Background
His current research interests include information retrieval (e.g., query understanding, conversational search, comparative and causal questions, known-item search, user simulation, reproducible experiments), natural language processing (e.g., clickbait, argumentation), and web data mining (information extraction from large web archives).