Dr. Andreea Schmidt-Iana
Researcher
University of Mannheim
B6, 26, Room B 018
D-68159 Mannheim
Email: andreea.iana (at) uni-mannheim.de
Webpage: https://andreeaiana.github.io/
Research Interests
- Responsible and inclusive AI for information access
- Recommender systems
- Information retrieval
- Natural language processing
Teaching
- Master and Bachelor Thesis Supervision (2023 – Present)
- Seminar on Fairness in Recommendation and Ranking – Supervision and Organization (Fall 2026)
- Data Mining – Tutorials (Fall 2024, Spring 2025, Fall 2026)
- Data Mining 2 - Tutorials (Spring 2024)
- Data Mining 1 – Tutorials (Fall 2023)
- Team Projects – Supervision and Organization (Spring 2022, Fall 2023, Spring/
Fall 2025, Spring/ Fall 2026)
Projects
- SpatialBenchRAG: developing a multimodal, multilingual benchmark for evaluating retrieval-augmented generation systems grounded in spatial knowledge graphs
- ReNewRS: investigating the influence of algorithmic news selection on shaping public opinion
Community Service
Chair
- Chair of 14th International Workshop on News Recommendation and Analytics (INRA 2026 @ UMAP 2026)
- Chair of 13th International Workshop on News Recommendation and Analytics (INRA 2025 @ RecSys 2025)
PC Member Conferences
- 20th ACM Conference on Recommender Systems (RecSys 2026) – Main Track
- 35th ACM International Conference on Information and Knowledge Management (CIKM 2026) – Full Research Track & Resources Track
- 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2026) – Resources Papers Track & Reproducibility Track
- 48th European Conference on Information Retrieval (ECIR 2026) – Resource Track
- 23rd European Semantic Web Conference (ESWC 2026) – Resource Track
- 19th ACM Conference on Recommender Systems (RecSys 2025) – Late Breaking Results Track
- 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025) – Resource & Reproducibility Track
- 21th Extended Semantic Web Conference (ESWC 2024) – Resource Track
- 19th Extended Semantic Web Conference (ESWC 2022) – Research Track
- Sub-reviewer for 18th Extended Semantic Web Conference (ESWC 2021) – Research Track
PC Member Workshops
- 6th International Workshop on Computational Methods for Online Discourse Analysis (BeyondFacts'26 @ WWW 2026)
- 5th International Workshop on Computational Methods for Online Discourse Analysis (BeyondFacts'25 @ WWW 2025)
- Second Workshop on Natural Language Processing for Political Sciences (PoliticalNLP @ LREC-COLING 2024)
- 4th International Workshop on Computational Methods for Online Discourse Analysis (BeyondFacts'24 @ WWW 2024)
- 3rd International Workshop on Knowledge Graphs for Online Discourse Analysis (BeyondFacts’23 @ WWW 2023)
- Workshop on Deep Learning for Knowledge Graphs (DL4KG @ ISWC 2023)
- Workshop on Deep Learning for Knowledge Graphs (DL4KG @ ISWC 2022)
- First Workshop on Natural Language Processing for Political sciences (PoliticalNLP @ LREC 2022)
Reviewer
Publications
- Iana, A., Glavaš, G. und Paulheim, H. (2026). Multilinguality in MIND: Advancing cross-lingual news recommendation with a multilingual dataset. ACM Transactions on Recommender Systems, 4, 1–36.
- Iana, A., Alam, M. und Paulheim, H. (2024). A survey on knowledge-aware news recommender systems. Semantic Web, 15, 21–82.
- Breit, A., Waltersdorfer, L., Ekaputra, F. J., Sabou, M., Ekelhart, A., Iana, A., Paulheim, H., Portisch, J., Revenko, A., Teije, A. . und van Harmelen, F. (2023). Combining machine learning and semantic web: A systematic mapping study. ACM Computing Surveys : CSUR, 55, 1–41.
- Ludwig, K., Grote, A., Iana, A., Alam, M., Paulheim, H., Sack, H., Weinhardt, C. und Müller, P. (2023). Divided by the algorithm? The (limited) effects of content- and sentiment-based news recommendation on affective, ideological, and perceived polarization. Social Science Computer Review : SSCORE, 41, 2188-2210.
- Treuillier, C., Iana, A., Yadav, V., Kille, B., Lommatzsch, A. und Özgöbek, . (2026). The 14th International Workshop on News Recommendation and Analytics (INRA 2026). In , UMAP 2026 : proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, Gothenburg, Sweden, June 8–11, 2026 (S. 694–697). , ACM: New York, NY.
- Böckling, M., Paulheim, H. und Iana, A. (2025). Walk&Retrieve: Simple yet effective zero-shot retrieval-augmented generation via knowledge graph walks. In , IR-RAG 2025 : Proceedings of the Workshop on Information Retrieval's Role in RAG Systems (IR-RAG 2025) co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025), Padova, Italy, July 17, 2 (S. 1–11). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
- Iana, A., Glavaš, G. und Paulheim, H. (2025). Peeling back the layers: An in-depth evaluation of encoder architectures in neural news recommenders. In , INRA 2024 : Proceedings of the International Workshop on News Recommendation and Analytics co-located with the 2024 ACM Conference on Recommender Systems (RecSys 2024) (S. 1–15). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
- Iana, A., Schmidt, F. D., Glavaš, G. und Paulheim, H. (2025). News without borders: Domain adaptation of multilingual sentence embeddings for cross-lingual news recommendation. In , Advances in Information Retrieval : 47th European Conference on Information Retrieval, ECIR 2025, Lucca, Italy, April 6–10, 2025, Proceedings, Part II (S. 119–137). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
- Iana, A., Treuillier, C., Yadav, V., Kille, B., Lommatzsch, A. und Özgöbek, . (2025). The 13th International Workshop on News Recommendation and Analytics (INRA 2025). In , RecSys '25 : proceedings of the nineteenth ACM Conference on Recommender Systems : Prague, Czech Republic, 22–26 September 2025 (S. 1399-1403). , Association for Computing Machinery: New York, NY, USA.
- Iana, A., Glavaš, G. und Paulheim, H. (2024). MIND Your Language: A multilingual dataset for cross-lingual news recommendation (extended abstract). In , KI 2024: Advances in Artificial Intelligence : 47th German Conference on AI, Würzburg, Germany, September 25–2, 2024, proceedings (S. 335–340). Lecture Notes in Computer Science, Springer: Berlin [u. a.].
- Iana, A., Glavaš, G. und Paulheim, H. (2024). MIND your language: A multilingual dataset for cross-lingual news recommendation. In , Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14–18, 2024 (S. 553–563). , ACM: New York.
- Iana, A., Glavaš, G. und Paulheim, H. (2024). Train once, use flexibly: A modular framework for multi-aspect neural news recommendation. In , Findings of EMNLP 2024 : The 2024 Conference on Empirical Methods in Natural Language Processing : November 12–16, 2024 (S. 9555-9571). , Association for Computational Linguistics: Miami, Florida, USA.
- Iana, A., Alam, M., Grote, A., Nikolajevic, N., Ludwig, K., Müller, P., Weinhardt, C. und Paulheim, H. (2023). NeMig – A bilingual news collection and knowledge graph about migration. In , Proceedings of the International Workshop on News Recommendation and Analytics co-located with the 2023 ACM Conference on Recommender Systems (RecSys 2023) (S. 1–22). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.
- Iana, A., Glavaš, G. und Paulheim, H. (2023). NewsRecLib: A PyTorch-Lightning library for neural news recommendation. In , EMNLP 2023, The 2023 Conference on Empirical Methods in Natural Language Processing : proceedings of the system demonstrations (S. 296–310). , Association for Computational Linguistics, ACL: Stroudsburg, PA.
- Iana, A., Glavaš, G. und Paulheim, H. (2023). Simplifying content-based neural news recommendation: On user modeling and training objectives. In , Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '23) (S. 2384-2388). , Association for Computing Machinery: New York, NY, United States.
- Alam, M., Iana, A., Grote, A., Ludwig, K., Müller, P. und Paulheim, H. (2022). Towards analyzing the bias of news recommender systems using sentiment and stance detection. In , WWW '22 companion : Companion proceedings of the Web Conference 2022 (S. 448–457). , ACM: New York, NY.
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Iana, A. und Paulheim, H. (2021). GraphConfRec: A Graph Neural Network-Based Conference Recommender System.
In , 2021 ACM/
IEEE Joint Conference on Digital Libraries (JCDL), Sept. 27 2021 to Sept. 30 2021, Champaign, IL, USA : conference proceedings (S. 90–99). , IEEE: New York, NY.
- Breit, A., Waltersdorfer, L., Ekaputra, F. J., Iana, A., Paulheim, H. und Et altera, . (2023). Combining machine learning and semantic web: a systematic mapping study (extended abstract). NeSy 2023: 17th International Workshop on Neural-Symbolic Learning and Reasoning, La Certosa di Pontignano, Siena, Italy.
- Waltersdorfer, L., Breit, A., Ekaputra, F. J., Sabou, M., Ekelhart, A., Iana, A., Paulheim, H., Portisch, J., Revenko, A., Teije, A. . und van Harmelen, F. (2023). Semantic web machine learning systems: An analysis of system patterns. In Compendium of neurosymbolic artificial intelligence (S. 77–99). Amsterdam: IOS Press.
- Iana, A. (2026). Multifaceted neural news recommendation : common components, bias mitigation, and multilinguality. Dissertation. Mannheim.