Publications related to What works and what does not: Classifier and feature analysis for argument mining
Investigating meta-intents: user interaction preferences in conversational recommender systems
Ma, Y., & Ziegler, J. (2024). User Modeling and User-Adapted Interaction, in press.
The Effect of Proactive Cues on the Use of Decision Aids in Conversational Recommender Systems
Ma, Y., & Ziegler, J. (2024). In The Association for Computing Machinery (ACM) (Ed.), Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP Adjunct ’24) (pp. 305–315). ACM.
The Effect of Proactive Cues on the Use of Decision Aids in Conversational Recommender Systems
Ma, Y., & Ziegler, J. (2024). Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization.
Meta-Intents in Conversational Recommender Systems
Ma, Y., Donkers, T., Kleemann, T., & Ziegler, J. (2022). In V. Anelli, P. Basile, & G. De Melo (Eds.), Proceedings of the Fourth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 16th ACM Conference on Recommender Systems (RecSys 2022) (Vol. 3294, pp. 81–90). RWTH Aachen.