Timm Kleemann, M. Sc.

Timm Kleemann joined the Interactive Systems group in 2016. He started working as a student assistant and, after receiving his master’s degree in 2017, is now continuing as a researcher. His research focuses in the field of interactive recommending systems, user interfaces and user experience.

Contact

Mail	timm [dot] kleemann [at] uni-due [dot] de
Phone	+49 (203) 379-2716
Fax	+49 (203) 379-3557
Office	LF 289
LSF	view

Publications

Mixed-Modality Interaction in Conversational Recommender Systems

Ma, Y., Kleemann, T., & Ziegler, J. (2021). Interfaces and Human Decision Making for Recommender Systems 2021: Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 2948, 21–37.

Modeling User Interaction at the Convergence of Filtering Mechanisms, Recommender Algorithms and Advisory Components

Kleemann, T., Wagner, M., Loepp, B., & Ziegler, J. (2021). Mensch Und Computer 2021 – Tagungsband, 531–543.

Distribution sliders: Visualizing data distributions in range selection sliders

Kleemann, T., & Ziegler, J. (2020). Conference on "Mensch Und Computer", 67–78.

Explaining Recommendations by Means of Aspect-Based Transparent Memories

Donkers, T., Kleemann, T., & Ziegler, J. (2020). In F. Paternò & N. Oliver (Eds.), Proceedings of the 25th International Conference on Intelligent User Interfaces (pp. 166–176). The Association for Computing Machinery.

Impact of Consuming Suggested Items on the Assessment of Recommendations in User Studies on Recommender Systems

Loepp, B., Donkers, T., Kleemann, T., & Ziegler, J. (2019). Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI ’19), 6201–6205.

Integration of Dialog-based Product Advisors into Filter Systems

Kleemann, T., & Ziegler, J. (2019). Proceedings of the Conference on Mensch Und Computer, 67–77.

Interactive Recommending with Tag-Enhanced Matrix Factorization (TagMF)

Loepp, B., Donkers, T., Kleemann, T., & Ziegler, J. (2019). International Journal of Human Computer Studies, 121, 21–41.

Impact of Item Consumption on Assessment of Recommendations in User Studies

Loepp, B., Donkers, T., Kleemann, T., & Ziegler, J. (2018). Proceedings of the 12th ACM Conference on Recommender Systems (RecSys ’18), 49–53.

ConceptCloud -Entwicklung einer Applikation zur Unterstützung von Reflexionsprozessen im Online-Lernportal Go-Lab

Angenendt, K., Bormann, J., Donkers, T., Goebel, T., Kizina, A., Kleemann, T., Michael, L., Raja, H., Sachs, F., Schneegass, C., Sinzig, L.-M., Steffen, J., Manske, S., Hecking, T., & Hoppe, U. H. (2015). In S. Rathmayer & H. Pongratz (Eds.), Proceedings of DeLFI Workshops 2015 (Vol. 1443, pp. 132–135). CEUR-WS.