My research is focused on the development and integration of algorithms for community detection, ranking and recommendations into collaborative tagging systems. Further topics of interest include citation and link analysis, entity matching and resolution, and social network analysis.
Furthermore, I am leading the development of our own system, BibSonomy, which is used as test-bed for our methods and results.
M. Stubbemann, and G. Stumme. Machine Learning and Knowledge Discovery in Databases: Research Track - European Conference, ECML PKDD 2023, Turin, Italy, September 18-22, 2023, Proceedings, Part III
, volume 14171 of Lecture Notes in Computer Science, page 177--192. Springer, (2023)
M. Stubbemann, T. Hanika, and G. Stumme. Advances in Intelligent Data Analysis XVIII - 18th International Symposium on Intelligent Data Analysis, IDA 2020, Konstanz, Germany, April 27-29, 2020, Proceedings
, volume 12080 of Lecture Notes in Computer Science, page 496--508. Springer, (2020)
S. Doerfel, D. Zoller, P. Singer, T. Niebler, A. Hotho, and M. Strohmaier. Proceedings of the Companion Publication of the 23rd International Conference on World Wide Web Companion
, page 251-252. Republic and Canton of Geneva, Switzerland, International World Wide Web Conferences Steering Committee, (2014)