Yuan Ma

Yuan studied Computer Engineering at the University of Duisburg-Essen, focusing on machine learning and deep learning. He did an internship in the Bosch Research Center for Automatic Optical Inspection (Image Processing) and wrote his master thesis at the Volkswagen Group Innovation for Autonomous Driving (3D Object Detection). Yuan joined the interactive system group in 2020 as a PhD candidate, mainly researching the application of AI-based methods in interactive systems and recommender systems.

Contact

Mail
Phone +49 (203) 379-2276
Fax +49 (203) 379-3557
Office LE 412
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Publications

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.

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.

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.

What works and what does not: Classifier and feature analysis for argument mining

Aker, A., Sliwa, A., Ma, Y., Liu, R., Borad, N., Ziyaei, S. F., & Ghbadi, M. (2017). Proceedings of the 4th Workshop on Argument Mining, 91–96.

Main research topic

Recommender Systems