2 papers
cs.IR2026
Aligning Recommendations with User Popularity Preferences
Mona Schirmer, Anton Thielmann, Pola Schwöbel +4
Popularity bias is a pervasive problem in recommender systems, where recommendations disproportionately favor popular items. This not only results in "rich-get-richer" dynamics and…
cs.IR2023
Unbiased Offline Evaluation for Learning to Rank with Business Rules
Matej Jakimov, Alexander Buchholz, Yannik Stein +1
For industrial learning-to-rank (LTR) systems, it is common that the output of a ranking model is modified, either as a results of post-processing logic that enforces business requ…