A Personalized Recommendation System for Electronic Program Guide

This paper proposes an idea for constructing a personalized recommendation system for the Electronic Program Guide (EPG). This system would use a basic statistics method with feedback process to predict television programs. We have applied this method to personal prediction of online Internet Electronic Program Guide (IEPG). The system was found to have good accuracy and dynamically adaptive capability.

• Type: Conference
• Year: 2005
• Where: AUSAI
• Authors: Jin An Xu, Kenji Araki
• Keywords: Artificial Intelligence, AUSAI 2005, Basic Statistics Method, Electronic Program Guide, Internet Electronic Program