Scalable evaluation of rule-based recommender systems : algorithms and benchmarks

Source
Lecture notes in computer science-16144 (2026) p. 90-107

What data is really necessary? A feasibility study of inference data minimization for recommender systems

Source
34th Conference on Information and Knowledge Management-CIKM, NOV 10-14, 2025, South Korea- (2025) p. 1519-1529

APS explorer : navigating algorithm performance spaces for informed dataset selection

Source
19th Conference on Recommender Systems-RECSYS-Annual, SEP 22-26, 2025, Prague, Czech Republic- (2025) p. 1322-1324
Author(s)

Extending shallow collaborative filtering methods : interactive, probabilistic and time-aware

Source
Antwerp, University of Antwerp, Faculty of Science, 2025,vii, 101 p.
Author(s)