A utility-based news recommendation system
Abstract
This paper presents a utility-based approach for news recommendation systems, improving user engagement through personalized content delivery.
Type
Publication
Decision Support Systems
This work introduces utility-based methods for enhancing news recommendation systems through personalized content delivery.
Morteza Zihayat
Principal Investigator
Dr. Morteza Zihayat is an Assistant Professor in the School of Information Technology Management at Toronto Metropolitan University and the Director of the Human-Centered Machine Intelligence Lab.