A personalized recommendation system for electronic program guide

Authors:
Jin An Xu;Kenji Araki
Affiliations:
Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan;Graduate School of Information Science and Technology, Hokkaido University, Sapporo, Japan
Venue:
AI'05 Proceedings of the 18th Australian Joint conference on Advances in Artificial Intelligence
Year:
2005

Citing 1
Cited 5

A simple but powerful automatic term extraction method

COMPUTERM '02 COLING-02 on COMPUTERM 2002: second international workshop on computational terminology - Volume 14

SVM and Collaborative Filtering-Based Prediction of User Preference for Digital Fashion Recommendation Systems

IEICE - Transactions on Information and Systems
Web-Based Recommender Systems and User Needs --the Comprehensive View

Proceedings of the 2008 conference on New Trends in Multimedia and Network Information Systems
3PRS: a personalized popular program recommendation system for digital TV for P2P social networks

Multimedia Tools and Applications
A study on user satisfaction evaluation about therecommendation techniques of a personalized EPG system on digital TV

HCI'07 Proceedings of the 12th international conference on Human-computer interaction: intelligent multimodal interaction environments
CPRS: a cloud-based program recommendation system for digital TV platforms

GPC'10 Proceedings of the 5th international conference on Advances in Grid and Pervasive Computing

Quantified Score

Hi-index	0.01

Visualization

Abstract

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.