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

Image credit: CIKM Conf

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.

Date
2022 Oct 17 1:00 PM — 2022 Oct 21 3:00 PM
Location
The Westin Peachtree Plaza hotel
210 Peachtree St NW, Atlanta, GA 30303
马成龙
马成龙
PhD Student in Computer Science

Advancing Recommender System: PhD Candidate on a Mission to Optimize User Experiences!