The program for DIR2021½ is out. DIR 2021½ will run on four consecutive Fridays as online Search Engine Amsterdam meetups. Register now!
Session 1, 4 February 2022
- Keynote 1 by Maria Maistro (Uni. of Copenhagen): How can we measure reproducibility of IR experiments?
Session 2, 11 February 2022
- Ali Vardasbi (University of Amsterdam): Mixture-Based Correction for Position and Trust Bias in Counterfactual Learning to Rank
- Sepideh Mesbah (Randstad Groep): Using RobBERT and eXtreme Multi-Label Classification to Extract Implicit and Explicit Skills From Dutch Job Descriptions
- Hideaki Joko (Radboud University): Conversational Entity Linking: Problem Definition and Datasets
- Liesbeth Allein (KU Leuven): Time-aware evidence ranking for fact-checking
- Mozhdeh Ariannezhad (University of Amsterdam): Understanding Multi-channel Customer Behavior in Retail
Session 3, 18 February 2022
- Garett Allen (TU Delft): Supercalifragilisticexpialidocious: Why Using the “Right” Readability Formula in Children’s Web Search Matters
- Carsten Schnober (WizeNoze): Neural Information Retrieval for Educational Resources
- Olivier Jeunen (Amazon): Embarrassingly shallow auto-encoders for dynamic collaborative filtering
- Zhe Roger (TU Delft): Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users
- Harrie Oosterhuis (Radboud University): Computationally Efficient Optimization of Plackett-Luce Ranking Models for Relevance and Fairness
Session 4, 25 February 2022
- Keynote 2 by Gabriella Kazai (Microsoft Research): IR Evaluation – An Industry Perspective