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GitHub / RozaAbolghasemi / Predicting-missing-pairwise-preferences-in-GDM

Predicting missing pairwise preferences from similarity features in group decision making and group recommendation system

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RozaAbolghasemi%2FPredicting-missing-pairwise-preferences-in-GDM

Stars: 9
Forks: 1
Open issues: 0

License: mit
Language: Python
Size: 1.19 MB
Dependencies parsed at: Pending

Created at: almost 3 years ago
Updated at: 8 months ago
Pushed at: about 1 year ago
Last synced at: about 1 month ago

Topics: bpr, data-science, decision-making, fuzzy-preference-relations, group-decision-making, group-recommendation-system, group-recommendations, group-recommender, group-recommender-systems, machine-learning, matrix-factorization, missing-value-imputation, missing-values, mpr, pairwise-comparison, pairwise-preferences, ranking, recommendation-system, recommender-system, recommender-systems

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