A utility-based news recommendation system

Morteza Zihayat, Anteneh Ayanso, Xing Zhao, Heidar Davoudi, Aijun An
January 2019

Abstract

This paper presents a utility-based approach for news recommendation systems, improving user engagement through personalized content delivery.

Type
Journal article
Publication
Decision Support Systems

This work introduces utility-based methods for enhancing news recommendation systems through personalized content delivery.

Recommendation Systems News Recommendation Utility Theory Decision Support Personalization
Morteza Zihayat
Morteza Zihayat
Principal Investigator

Dr. Morteza Zihayat is a Canada Research Chair (CRC) in Human-Centered AI and Associate Professor at Toronto Metropolitan University, Faculty of Engineering and Architectural Science. He also holds appointments as Adjunct Associate Professor at the University of Waterloo (Management Sciences) and IBM Faculty Fellow at IBM Centre for Advanced Studies. He is the Director of the Human-Centered Machine Intelligence Lab.