Deutsch Intern
    Data Science Chair

    Elisabeth Fischer, M.Sc.

    Chair of Data Science (Informatik X)
    University of Würzburg
    Campus Hubland Nord
    Emil-Fischer-Straße 50
    97074 Würzburg
    Germany

    Email: elisabeth.fischer[at]informatik.uni-wuerzburg.de

    Phone: (+49 931)  31-89539

    Office: Room 50.03.018 (Building G50, Institutsgebäude Künstliche Intelligenz)

    Projects and Research Interests

    I joined the DMIR group for my PhD studies after receiving my masters degree in Computer Science at the university of Würzburg in spring 2017.

    I'm working on the topic of sequential recommendation, especially on enriching the sequence with additional context and content information.

    Teaching

    Seminar "Selected Topics of Machine Learning":

    Other

    Best Paper Award: "Enhancing Sequential Next-Item Prediction through Modelling Non-Item Pages" , Elisabeth Fischer, Daniel Schlör, Albin Zehe, Andreas Hotho on the Fourth International Workshop on Advanced Neural Algorithms and Theories for Recommender Systems (NeuRec) at ICDM 2023

    Publications

    2024[ to top ]
    • Modeling and Analyzing the Influence of Non-Item Pages on Sequential Next-Item Prediction. Fischer, Elisabeth; Schlör, Daniel; Zehe, Albin; Hotho, Andreas. 2024, October.
    • Adapting Sequential Recommender Models to Content Recommendation in Chat Data using Non-Item Page-Models. Zehe, Albin; Fischer, Elisabeth; Kaiser, Jonas; Wagner, Toni; Hotho, Andreas. In Proceedings of the Sixth Knowledge-aware and Conversational Recommender Systems Workshop. 2024.
    2023[ to top ]
    • Enhancing Sequential Next-Item Prediction through Modelling Non-Item Pages. Fischer, Elisabeth; Schlör, Daniel; Zehe, Albin; Hotho, Andreas. 2023.
    2022[ to top ]
    • Personalization through User Attributes for Transformer-based Sequential Recommendation. Fischer, Elisabeth; Dallmann, Alexander; Hotho, Andreas. 2022.
    2021[ to top ]
    • Comparison of Transformer-Based Sequential Product Recommendation Models for the Coveo Data Challenge. Fischer, Elisabeth; Zoller, Daniel; Hotho, Andreas. In SIGIR Workshop On eCommerce. 2021.
    2020[ to top ]
    • Integrating Keywords into BERT4Rec for Sequential Recommendation. Fischer, Elisabeth; Zoller, Daniel; Dallmann, Alexander; Hotho, Andreas. In KI 2020: Advances in Artificial Intelligence. 2020.