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.

Mail
Phone +49 (203) 379-2716
Fax +49 (203) 379-3557
Office LF 289
LSF view

Publications

Integration dialogbasierter Produktberater in Filtersysteme

Kleemann, T., & Ziegler, J. (2019). In MuC’19: Proceedings of Mensch und Computer 2019 (pp. 67–77). New York: ACM Press.

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). In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI ’19) (pp. 6201–6205). IJCAI Organization.

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). In Proceedings of the 12th ACM Conference on Recommender Systems (RecSys ’18) (pp. 49–53). New York, NY: ACM.

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., … Hoppe, U. H. (2015). In S. Rathmayer & H. Pongratz (Eds.), Proceedings of DeLFI Workshops 2015 (Vol. 1443, pp. 132–135). Aachen: CEUR-WS.

Main research topics

Recommender Systems

Context-adaptivity

User Interface Engineering