GitHub topics: pairwise-preferences
RozaAbolghasemi/Predicting-missing-pairwise-preferences-in-GDM
Predicting missing pairwise preferences from similarity features in group decision making and group recommendation system
Language: Python - Size: 1.19 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 1
RozaAbolghasemi/User_Contribution_GRS
Two Group Recommendation Approaches based on the Contribution of the Users and Pairwise Preferences
Language: Python - Size: 103 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
RozaAbolghasemi/Shaply_GRS
Group Recommendation Systems with Diversity-based Clustering and Game Theory
Language: Jupyter Notebook - Size: 3.31 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 1 - Forks: 0
RozaAbolghasemi/Group_Recommendation_Syatem_GcPp_clustering
A Jupyter notebook for a project centered around 'Group Recommendation Systems (GRS)' utilizing the 'GcPp' clustering approach.
Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 5 - Forks: 0
RozaAbolghasemi/GRS_Personality_PairwiseComparison
A personality-aware group recommendation system based on pairwise preferences
Language: Python - Size: 1.51 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0
RozaAbolghasemi/GRS_crGAN
Adversarial Preference Learning with Pairwise Comparisons for Group recommendation System
Language: Jupyter Notebook - Size: 124 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0
suzanv/PairwisePreferenceLearning
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.
Language: Python - Size: 545 KB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 13 - Forks: 2
