Filter Bubbles in Recommender Systems: Fact or Fallacy -- A Systematic
Review

Filter Bubbles in Recommender Systems: Fact or Fallacy -- A Systematic Review

2 July 2023

Mohammad Nadeem

Amir Hussain

Papers citing "Filter Bubbles in Recommender Systems: Fact or Fallacy -- A Systematic Review"

6 / 6 papers shown

Title
Toward Holistic Evaluation of Recommender Systems Powered by Generative Models Yashar Deldjoo Nikhil Mehta M. Sathiamoorthy Shuai Zhang Pablo Castells Julian McAuley EGVM ELM 64 1 0 09 Apr 2025
Algorithmic Drift: A Simulation Framework to Study the Effects of Recommender Systems on User Preferences Erica Coppolillo Simone Mungari E. Ritacco Francesco Fabbri Marco Minici Francesco Bonchi Giuseppe Manco 21 0 0 24 Sep 2024
Developing and Evaluating a Design Method for Positive Artificial Intelligence Willem van der Maden Derek Lomas P. Hekkert 19 0 0 02 Feb 2024
Beyond RMSE and MAE: Introducing EAUC to unmask hidden bias and unfairness in dyadic regression models Jorge Paz-Ruza Amparo Alonso-Betanzos B. Guijarro-Berdiñas Brais Cancela Carlos Eiras-Franco 51 2 0 19 Jan 2024
AI in Thyroid Cancer Diagnosis: Techniques, Trends, and Future Directions Yassine Habchi Yassine Himeur Hamza Kheddar A. Boukabou Shadi Atalla A. Chouchane A. Ouamane W. Mansoor 24 50 0 25 Aug 2023
Utility-Based Context-Aware Multi-Agent Recommendation System for Energy Efficiency in Residential Buildings Valentyna Riabchuk Leon Hagel Felix Germaine Alona Zharova 13 9 0 05 May 2022