6 projects
easystudy
A modular framework for quick & easy deployment of customizable user studies — for recommender systems and any other item-based interactive system.
grouprec
Group recommender systems for Python: results aggregation and profile aggregation as first-class citizens behind one API. Preference aggregation, group recommendation, fairness.
calissta
Calibrated recommendations via sparse-autoencoder steering and top-k (D'Hondt) aggregation.
ltp-rs
Long-Term Proportionality: fair sequential group recommendation via proportional, cross-session selection.
rlprop-rs
Results-level proportionality for multi-objective recommendation (mandate-allocation / fuzzy-D'Hondt selection).
sm-rs
SM-RS benchmark: data loaders and canonical task evaluators for the single- and multi-objective recommendations dataset.
