Andreea Iana

Andreea Iana

Postdoctoral Researcher @ DWS Group, University of Mannheim | Responsible AI, Recommender Systems, RAG, Algorithmic Bias & Cross-lingual IR

I am a postdoctoral researcher in the Data and Web Science Group at the University of Mannheim. I hold a PhD in Recommender Systems from the University of Mannheim, where I was advised advised by Prof. Heiko Paulheim (University of Mannheim) and Prof. Goran Glavaš (University of Würzburg). During my PhD, I was a visting researcher in the WüNLP Group at the University of Würzburg. Before that, I completed my M.Sc. in Business Informatics at the University of Mannheim, and my B.Sc. in Liberal Arts and Sciences from the University College Maastricht, in the Netherlands.

I am interested in advancing responsible and inclusive retrieval and recommendation technology, with a particular focus on multilinguality, cross-lingual IR, and investigating and mitigating algorithmic bias.

You can find more info on my CV.

News

Mar, 2026I successfully defended my PhD thesis "Multifaceted Neural News Recommendation: Common Components, Bias Mitigation, and Multilinguality" and was awarded my PhD with summa cum laude.
Nov, 2025Our paper "Multilinguality in MIND: Advancing Cross-lingual News Recommendation with a Multilingual Dataset" was accepted for publication in ACM Transactions on Recommender Systems!
Aug, 2025I have been awarded the Open Science Grant from the University of Mannheim for the SpatialBenchRAG project.
May, 2025Our paper "Walk&Retrieve: Simple Yet Effective Zero-shot Retrieval-Augmented Generation via Knowledge Graph Walks" was accepted to IR-RAG 2025, in conjunction with SIGIR 2025!
Dec, 2024Our paper "News Without Borders: Domain Adaptation of Multilingual Sentence Embeddings for Cross-lingual News Recommendation" was accepted to ECIR 2025!
Oct, 2024Our 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, 2024Our paper "Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation" was accepted to Findings of EMNLP 2024!