News

Harrie Oosterhuis was part of the organization of the 2nd edition of the CONSEQUENCES workshop at the 2023 ACM RecSys conference, speakers at the workshop included Prof. Micheal I. Jordan from Berkeley and dr. Minmin Chen from Google. More information at: https://sites.google.com/view/consequences2023/home .

Harrie Oosterhuis is one of three winners of this year's Radboud science awards for his research on search and recommendation: https://www.ru.nl/en/about-us/news/radboud-science-awards-2023-conscientious-language-searching-computers-and-smell .

Harrie Oosterhuis received a NWO Veni grant for his project titled: "Search Systems with a Bayesian Understanding of Their Users (BAYES-SEARCH)": https://www.ru.nl/en/research/research-news/nwo-veni-grants-for-research-into-frontline-workers-social-media-and-more .

The data science group had five paper presentations and a half-day tutorial at the 2023 ACM SIGIR conference on Information Retrieval in Taipei: https://sigir.org/sigir2023/ .

Inge Wortel moderated the course “AI in Perspectief” from the Radboud Academy on how AI impacts our life, which further featured contributions from Frederik Zuiderveen Borgesius, Martha Larson, and Tom Heskes.

On March 23, the AI for Energy Grids Lab was officially launched. Within this lab, Charlotte Cambier van Nooten studies how graph neural networks can improve the efficiency and reliability of our energy grid under daily supervision of Yuliya Shapovalova and Tom van de Poll (Alliander).

Tom Heskes contributed to the Studio Oost NL podcast on how small and medium-sized enterprises (SMEs) can get started with AI: [https://www.ru.nl/ai/news-events/news/vm-eigen-news/studio-oost-nl-how-can-smes-get-started-ai/].

Chris Kamphuis (with Faegheh Hasibi and Arjen de Vries) had his paper on entity annotations for the MS Marco collections accepted for 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR’23)! Furthermore, two full papers ("Cross-Market E-Commerce Question Answering by Jointly Ranking Questions and Products" by Negin Ghasemi, Arjen de Vries, Djoerd Hiemstra et al.; "Safe Deployment for Counterfactual Learning to Rank with Exposure-Based Risk Minimization" by Harrie Oosterhuis et al.) and a tutorial ("Recent Advances in the Foundations and Applications of Unbiased Learning to Rank" by Harrie Oosterhuis et al.) have been accepted at SIGIR'23 and will be presented in Taipei.

The paper titled "Fairness Gerrymandering: Unfair, Undetectable Manipulation" by Tim de Jonge and Djoerd Hiemstra was accepted at the annual ACM Conference on Fairness Accountability and Transparency (ACM FAccT 2023).

Harrie Oosterhuis presented a keynote talk titled: Counterfactual Learning to Rank for Search and Recommendation at the Fourth International Workshop on Algorithmic Bias in Search and Recommendation (BIAS 2023), which was held as part of the 45th European Conference on Information Retrieval (ECIR 2023): https://biasinrecsys.github.io/ecir2023/#keynote .

The data science group is covered in the April edition of the I/O magazine: https://ict-research.nl/wordpress/wp-content/uploads/2023/04/IO-magazine-NR1-2023.pdf . Additionally, the edition features an article on Hannes Mühleisen and his DuckDB spin-off.

The paper titled "Personal Entity, Concept, and Named Entity Linking in Conversations" by Hideaki and Faegheh, has been accepted at CIKM 2022. Check out its arXiv version at https://arxiv.org/abs/2206.07836 if you are interested.

The paper titled "Find the Funding: Entity Linking with Incomplete Funding Knowledge Bases" by Faegheh, in collaboration with Gizem, Amin, and Georgios, has been accepted at COLING 2022. Check out its arXiv version at https://arxiv.org/abs/2209.00351 if you are interested.

The paper titled "On Success and Simplicity: A Second Look at Transferable Targeted Attacks" by Zhengyu, Zhuoran, and Martha has been accepted at NeurIPS 2021. Check out its arXiv version at https://arxiv.org/abs/2012.11207 if you are interested.