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M. Sc. Yuan Ma

Informatik / HCCS

Anschrift
Lotharstr
47048 Duisburg
Raum
LE 410
Telefon
+49 203 379 2276
Telefax
+49 203 379 3557
E-Mail
yuan.ma@uni-due.de

Funktionen

  • Wissenschaftliche/r Mitarbeiter/in, Interaktive Systeme

Aktuelle Veranstaltungen

Keine aktuellen Veranstaltungen.

Vergangene Veranstaltungen (max. 10)

Die folgenden Publikationen sind in der Online-Universitätsbibliographie der Universität Duisburg-Essen verzeichnet. Weitere Informationen finden Sie gegebenenfalls auch auf den persönlichen Webseiten der Person.

    Artikel in Zeitschriften

  • Ma, Yuan; Ziegler, Jürgen
    Investigating meta-intents: user interaction preferences in conversational recommender systems
    In: User Modeling and User-Adapted Interaction, Jg. 34, 2024, Nr. 5, S. 1535 – 1580
    DOI

    • Beiträge in Sammelwerken und Tagungsbänden

  • Ma, Yuan; Ziegler, Jürgen
    The Effect of Proactive Cues on the Use of Decision Aids in Conversational Recommender Systems
    In: Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP Adjunct '24) / 32nd ACM Conference on User Modeling, Adaptation and Personalization (UMAP Adjunct '24): Cagliari, Italy; July 1 - 4, 2024 / The Association for Computing Machinery (ACM) (Hrsg.). New York: ACM, 2024, S. 305 – 315
    DOI
  • Ma, Yuan; Donkers, Tim; Kleemann, Timm; Ziegler, Jürgen
    An Instrument for measuring users’ meta-intents
    In: CHIIR '23: Proceedings of the 2023 Conference on Human Information Interaction and Retrieval / 2023 Conference on Human Information Interaction and Retrieval ; CHIIR 2023 ; March 19–23, 2023, Austin, Texas, USA / Gwizdka, Jacek; Rieh, Soo Young (Hrsg.). Washington: ACM, 2023, S. 290 – 302
    DOI, Online Volltext
  • Ma, Yuan; Donkers, Tim; Kleemann, Timm; Ziegler, Jürgen
    Meta-Intents in Conversational Recommender Systems
    In: Proceedings of the Fourth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 16th ACM Conference on Recommender Systems (RecSys 2022) / Fourth Knowledge-aware and Conversational Recommender Systems Workshop co-located with 16th ACM Conference on Recommender Systems (RecSys 2022), Seattle, WA, USA, September 22nd, 2022 / Anelli, Vito; Basile, Pierpaolo; De Melo, Gerard (Hrsg.). Aachen: RWTH Aachen, 2022, S. 81 – 90
    Online Volltext (Open Access)
  • Ma, Yuan; Kleemann, Timm; Ziegler, Jürgen
    Psychological User Characteristics and Meta-Intents in a Conversational Product Advisor
    In: Interfaces and Human Decision Making for Recommender Systems 2022: Proceedings of the 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems / 9th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2022), 22. September 2022, hybrid Event: online & Seattle / Brusilovsky, Peter; Gemmis, Marco de; Felfernig, Alexander; Lops, Pasquale; Polignano, Marco; Semeraro, Giovanni; Willemsen, Martijn C. (Hrsg.). Aachen: RWTH Aachen, 2022, S. 18 – 32
    Online Volltext (Open Access)
  • Ma, Yuan; Kleemann, Timm; Ziegler, Jürgen
    Mixed-Modality Interaction in Conversational Recommender Systems
    In: Interfaces and Human Decision Making for Recommender Systems 2021: Proceedings of the 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems / 8th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems (IntRS 2021), 25-29 September 2021, online. Aachen: RWTH Aachen, 2021, S. 21 – 37
    Online Volltext (Open Access)
  • Aker, Ahmet; Sliwa, Alfred; Ma, Yuan; Liu, Ruishen; Borad, Niravkumar; Ziyaei, Seyedeh Fatemeh; Ghbadi, Mina
    What works and what does not : Classifier and feature analysis for argument mining
    In: Proceedings of the 4th Workshop on Argument Mining / EMNLP 2017, September 8, 2017, Copenhagen, Denmark. Stroudsburg: Association for Computational Linguistics (ACL), 2017, S. 91 – 96

    • Dissertation

  • Ma, Yuan
    Meta-Intents: Interaction Preferences in Conversational Recommender Systems
    Duisburg, Essen, 2025
    DOI, Online Volltext (Open Access)