Andreea 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

Recommender systems
Information retrieval
Natural language processing

Teaching

Teaching Assistant:

Data Mining (HWS 2024, FSS 2025)
Data Mining 2 (FSS 2024)
Data Mining 1 (HWS 2023)
Team Project (FSS 2025 – HWS 2025): Aligning Embeddings for Biomedical Applications
Team Project (HWS 2023 – FSS 2024): A Chatbot for Study Advice
Team Project (FSS 2022 – HWS 2022): Developing a Python Library for News Recommenders

Thesis Co-supervisor

“Diversified Scientific Publication Recommendation”
“A Comparative Analysis of Negative Sampling Techniques for News Recommenders”

Projects

Responsible News Recommender Systems (ReNewRS) – Investigating the influence of algorithmic news selection on shaping public opinion

Community Service

ARR
PC Member of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2025)
PC Member of the Second Workshop on Natural Language Processing for Political Sciences (PoliticalNLP)
Reviewer for 21th Extended Semantic Web Conference (ESWC 2024) – Resource Track
PC Member of 4th International Workshop on Computational Methods for Online Discourse Analysis (BeyondFacts'24)
PC Member of 3rd International Workshop on Knowledge Graphs for Online Discourse Analysis (BeyondFacts’23)
Reviewer for Workshop on Deep Learning for Knowledge Graphs (DL4KG)
PC Member of the First Workshop on Natural Language Processing for Political sciences (PoliticalNLP)
Reviewer for 19th Extended Semantic Web Conference (ESWC 2022) – Research Track
Sub-reviewer for 18th Extended Semantic Web Conference (ESWC 2021) – Research Track
Reviewer for Journal of Web Semantics

Iana, A., Alam, M. and 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. . and 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. and 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.

Iana, A., Glavaš, G. and 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. and 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., Glavaš, G. and 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. and 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. and 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. and 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. and 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. and 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. and 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.
Iana, A. and 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.
Iana, A. and Paulheim, H. (2020). More is not always better: The negative impact of A-box materialization on RDF2vec knowledge graph embeddings. In , CIKMW2020 : Proceedings of the CIKM 2020 Workshops co-located with 29th ACM International Conference on Information and Knowledge Management (CIKM 2020) Galway, Ireland, October 19–23, 2020 (S. Paper 5, 15–8). CEUR Workshop Proceedings, RWTH Aachen: Aachen, Germany.

Breit, A., Waltersdorfer, L., Ekaputra, F. J., Iana, A. and Paulheim, H. (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. . and 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.