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.
This repository contains a Python script that implements a novel group recommender system based on the research paper titled "A novel group recommender system based on members’ influence and leader impact" by Reza Barzegar Nozari and Hamidreza Koohi.
Two Group Recommendation Approaches based on the Contribution of the Users and Pairwise Preferences
dl-cf-groups-deep-aggregation
Add a description, image, and links to the group-recommender topic page so that developers can more easily learn about it.
To associate your repository with the group-recommender topic, visit your repo's landing page and select "manage topics."