Andreea Iana

Researcher

University of Mannheim
B6, 26, Room B 018
D-68159 Mannheim

Email: andreea.iana (at) uni-mannheim.de

Research Interests

Teaching Assistant:

Data Mining 1 (HWS 2023)
Team Project (FSS 2022 – HWS 2022): Developing a Python Library for News Recommenders
Team Project (HWS 2023 – FSS 2024): A Chatbot for Study Advice

Thesis Co-supervisor

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

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)
Reviewer for First Workshop on Natural Language Processing for Political sciences (PoliticalNLP)
Reviewer for 19th Extended Semantic Web Conference 2022 - Research Track
Sub-reviewer for 18th Extended Semantic Web Conference 2021 – Research Track
Reviewer for Journal of Web Semantics

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.
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.
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, 1–23.
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.

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., Alam, M. and Paulheim, H. (2022). A survey on knowledge-aware news recommender systems. Semantic Web, 1–59.

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.

Iana, A., Jung, S., Naeser, P., Birukou, A., Hertling, S. and Paulheim, H. (2019). Building a conference recommender system based on SciGraph and WikiCFP. In , Semantic Systems. The Power of AI and Knowledge Graphs : 15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9–12, 2019, Proceedings (S. 117–123). Lecture Notes in Computer Science, Springer: Berlin [u.a.].