I am a final-year PhD student at the University of Mannheim, Germany, advised by Prof. Heiko Paulheim (University of Mannheim) and Prof. Goran Glavaš (University of Würzburg). I am interested in exploring algorithmic bias and diversity in (news) recommender systems, as well as in multilingual, cross-lingual and few-shot information retrieval.
Between Dec 2023 and Feb 2024, I was a visting researcher in the WüNLP Group at the University of Würzburg. Previously, I completed my M.Sc. in Business Informatics at the University of Mannheim, where I worked as a research assistant in the Data and Web Science Group.
You can find more info on my CV.
News
Oct, 2024 | Our paper "Peeling Back the Layers: An In-Depth Evaluation of Encoder Architectures in Neural News Recommenders" was accepted to INRA'24, in conjunction with RecSys 2024! |
Sep, 2024 | Our paper "Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation" was accepted to Findings of EMNLP 2024! |
May, 2024 | We released xMINDlarge and xMINDsmall now also on HuggingFace. |
May, 2024 | We released the multilingual PolyNews and PolyNewsParallel datasets on HuggingFace. |
Mar, 2024 | Our paper "MIND Your Language: A Multilingual Dataset For Cross-lingual News Recommendation" was accepted to SIGIR 2024, in the Resource and Reproducibility Track! |
Mar, 2024 | I gave a talk about my work on the xMIND multingual news dataset at the MCDS Academic Speed Dating on Data Science. |
Dec, 2023 | I've started my research visit in the WüNLP Group at the University of Würzburg under the supervision of Prof. Goran Glavaš, working on multilingual and cross-lingual news recommendation. |
Oct, 2023 | Our paper "NewsRecLib: A PyTorch-Lightning Library for Neural News Recommendation" was accepted to EMNLP 2023, Systems Demonstration! |
Sep, 2023 | Our paper "NeMig - A Bilingual News Collection and Knowledge Graph about Migration" was accepted to INRA'23, in conjunction with RecSys 2023! |
Apr, 2023 | Our paper "Simplifying Content-Based Neural News Recommendation: On User Modeling and Training Objectives" was accepted to SIGIR 2023! |