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1. EasyStudy EasyStudy Public

   Open-source framework for interactive user studies — recommender systems, HCI, and any item-based experiment. Batteries-included: algorithms & datasets.

   Python 8 16

2. LTP LTP Public

   LTP (Long-Term Proportionality) — fair sequential group recommendation: balances long-term fairness across recommendation sessions so no group member is consistently overlooked, while preserving gr…

   Python 1

3. RLProp RLProp Public

   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-allocat…

   Python 1

4. SM-RS SM-RS Public

   SM-RS — beyond-accuracy recommender-systems dataset & benchmark linking users' self-declared propensities (relevance/diversity/novelty) with contextual impressions, selections & perceived quality. …

   Python 1

5. CALISSTA CALISSTA Public

   CALISSTA: calibrated recommendations at candidate-retrieval time via sparse-autoencoder steering + D'Hondt aggregation. Model- and dataset-agnostic (bring your own RS backbone/SAE, genres, tags, ca…

   Python

6. grouprec grouprec Public

   GroupRec: A Unified Toolkit for Reproducible and Inspectable Group Recommendation Research

   Python 1