RLProp — results-level proportional selection for multi-objective recommender systems: pick top-k items so relevance, diversity, novelty & fairness appear in the ratios you set, via mandate-allocation / fuzzy-D'Hondt. Pure-NumPy, pip-installable Python library. Re-ranking · MOO · SIGIR'22.
64
3
0
