NEST: Simulating Pandemic-like Events for Collaborative Filtering by Modeling User Needs Evolution

Abstract

The COVID-19 pandemic has profoundly impacted people’s life and behavior. How do recommender systems behave given these changes in user behavior and preferences? We propose a Need Evolution Simulator to study this. This video briefly shows our motivation, research questions, methodology and experiment results.

Chenglong Ma

Ph.D. | Research Fellow at ADM+S

Advancing Recommender System: Ph.D. on a Mission to Optimize User Experiences!