Feedback Forensics: An open-source toolkit to measure AI personality changes
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Jun 1, 2025 - Python
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pairwise-preferences
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Performs pairwise preference ranking for a given trainfile and testfile with binary class labels (1 and not 1). The binary classification on the pairwise test data gives a prediction from each pair of test items: which of the two should be ranked higher. From these pairwise preferences a ranking can be created using a greedy sort algorithm.
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Jul 12, 2017 - Python
Predicting missing pairwise preferences from similarity features in group decision making and group recommendation system
data-science machine-learning decision-making matrix-factorization ranking bpr recommendation-system recommender-system recommender-systems pairwise-preferences pairwise-comparison mpr missing-values group-recommendations missing-value-imputation group-decision-making fuzzy-preference-relations group-recommender group-recommender-systems group-recommendation-system
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Mar 5, 2024 - Python
A personality-aware group recommendation system based on pairwise preferences
data-science machine-learning decision-making consensus matrix-factorization ranking bpr recommendation-system recommender-system recommender-systems pairwise-preferences personality-traits pairwise-comparison bayesian-personalized-ranking group-decision-making group-recommender-systems group-recommendation-system
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Mar 5, 2024 - Python
Two Group Recommendation Approaches based on the Contribution of the Users and Pairwise Preferences
data-science machine-learning decision-making generative-adversarial-network recommendation-system recommender-system generative-adversarial-networks pairwise-preferences pairwise-comparison group-recommendations shapley-value shapley-values clustering-users group-decision-making user-contribution group-recommender group-recommender-systems group-recommendation-system user-diversity wonderful-life-utility
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Aug 1, 2024 - Python
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