Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)
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Updated
Jul 6, 2023 - Python
Code for GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation (SIGIR 2020)
Predicting missing pairwise preferences from similarity features in group decision making and group recommendation system
Two Group Recommendation Approaches based on the Contribution of the Users and Pairwise Preferences
A hybrid group recommendation system for film and TV content using Letterboxd profile data
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.
Constructive Preference Elicitation for Social Choice With Setwise max-margin Learning.
The recommender written during my thesis.
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