Can AI recommendation algorithms provoke new interests instead of recycling familiar preferences?

 

 

Resources Academic


 

Recommendations Algorithms, Freedom, Genhumanism. 2025, at AI Between Freedom and Servitude, University of Trento Law School, University of Trento

The Freedom Recommendation, at Advancing the Frontiers of AI Research, Roundtable hosted by Alma Mater Artificial Intelligence Center, Alma Mater Europaea University, Austria, February 8, 2025.

AI Recommendation Algorithms and Human Freedom, Roundtable, Pace University, 2024.

Deep Learning Models for Serendipity Recommendations: A Survey and New Perspectives

Controlling Polarization in Personalization: An Algorithmic Framework

Smart Algorithm Bursts Social Networks' Filter Bubbles

Multimodal Recommender Systems: A Survey

Recommender Systems . Com information website

ACM Transactions on Intelligent Systems and Technology: SECTION: Special Issue on Responsible Recommender Systems

Captivating algorithms: Recommender systems as traps

Decoding Algorithm Fatigue: The Role of Algorithmic Literacy, Information Cocoons, and Algorithmic Opacity

Modeling User Fatigue for Sequential Recommendation

Values of Exploration in Recommender Systems, RecSys Conference, 2021

Survey of Serendipity in Recommender Systems

On the Negative Perception of Crossdomain Recommendations and Explanations

Change Your Perspective, Widen Your Worldview! Societally Beneficial Perceptual Filter Bubbles in Personalized Reality

Serendipity in Recommender Systems: A Systematic Literature Review 2017

Bridging Systems: Open problems for countering destructive divisiveness across ranking, recommenders, and governance

Prosocial Ranking Challenge

Introducing Serendipity in a Content-based Recommender System