Predicting missing pairwise preferences from similarity features in group decision making and group recommendation system
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Updated
Mar 5, 2024 - Python
Predicting missing pairwise preferences from similarity features in group decision making and group recommendation system
A Jupyter notebook for a project centered around 'Group Recommendation Systems (GRS)' utilizing the 'GcPp' clustering approach.
Adversarial Preference Learning with Pairwise Comparisons for Group recommendation System
A personality-aware group recommendation system based on pairwise preferences
Two Group Recommendation Approaches based on the Contribution of the Users and Pairwise Preferences
Group Recommendation Systems with Diversity-based Clustering and Game Theory
A series of recommender systems projects for DATA.ML.360-2024-2025-1 Recommender Systems at Tampere University
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