Publications by Timm Kleemann
Published in 2024
An integrated approach for transparent, multi-level decision support in interactive recommender systems
Kleemann, T. (2024). [PhD thesis].
Harnessing Latent Space Semantics for Enhanced Interpretability of Recommender Systems in Item Retrieval and Online Communication Dynamics
Donkers, T. (2024). [PhD thesis].
Published in 2023
Blending Conversational Product Advisors and Faceted Filtering in a Graph-Based Approach
Kleemann, T., & Ziegler, J. (2023). In J. Abdelnour Nocera, Kristı́n Lárusdóttir Marta, H. Petrie, A. Piccinno, & M. Winckler (Eds.), Human-Computer Interaction – INTERACT 2023 : 19th IFIP TC13 International Conference, York, UK, August 28 – September 1, 2023, Proceedings, Part III (Vol. 14144, pp. 137–159). Springer Nature Switzerland.
An Instrument for measuring users’ meta-intents
Ma, Y., Donkers, T., Kleemann, T., & Ziegler, J. (2023). In J. Gwizdka & S. Y. Rieh (Eds.), CHIIR ’23: Proceedings of the 2023 Conference on Human Information Interaction and Retrieval (pp. 290–302). ACM.
Published in 2022
Psychological User Characteristics and Meta-Intents in a Conversational Product Advisor
Ma, Y., Kleemann, T., & Ziegler, J. (2022). Proceedings of the 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems, 3222, 18–32.
Meta-Intents in Conversational Recommender Systems
Yuan, M., Donkers, T., Kleemann, T., & Jürgen, Z. (2022). Proceedings of the 4th Edition of Knowledge-Aware and Conversational Recommender Systems (KaRS) Workshop @ RecSys 2022.
Towards Multi-Method Support for Product Search and Recommending
Kleemann, T., Loepp, B., & Ziegler, J. (2022). Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (UMAP ’22), 74–79.
Published in 2021
Mixed-Modality Interaction in Conversational Recommender Systems
Ma, Y., Kleemann, T., & Ziegler, J. (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.
Published in 2020
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.
Published in 2019
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.
Published in 2018
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.
Published in 2015
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.