We are proud to have the following papers co-authored by members of IRLab accepted by the 17th ACM Conference on Recommender Systems (RecSys) 2023:

• Masked and Swapped Sequence Modeling for Next Novel Basket Recommendation in Grocery Shopping by Ming Li, Mozhdeh Ariannezhad, Andrew Yates, and Maarten de Rijke
• Collaborative filtering algorithms are prone to mainstream-taste bias by Pantelis Analytis and Philipp Hager