Predicting missing pairwise preferences from similarity features in group decision making and group recommendation system
-
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.
A personality-aware group recommendation system based on pairwise preferences
Two Group Recommendation Approaches based on the Contribution of the Users and Pairwise Preferences
This repository presents a rank aggregation method (description and code), in the case when dealing with uncertain data.
Add a description, image, and links to the group-decision-making topic page so that developers can more easily learn about it.
To associate your repository with the group-decision-making topic, visit your repo's landing page and select "manage topics."