Personal Document Recommendation System Based on Data Mining Techniques

Authors:
S. M. Hsieh;S. J. Huang;C. C. Hsu;H. C. Chang
Affiliations:
Hwa-Hsia College of Technology and Commerce, Taiwan;National Taiwan University of Science and Technology, Taiwan;National Taiwan University of Science and Technology, Taiwan;Hwa-Hsia College of Technology and Commerce, Taiwan
Venue:
WI '04 Proceedings of the 2004 IEEE/WIC/ACM International Conference on Web Intelligence
Year:
2004

Citing 0
Cited 1

Social Recommendations within the Multimedia Sharing Systems

WSKS '08 Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society

Quantified Score

Hi-index	0.00

Visualization

Abstract

Most existing recommendation systems may not be very effective due to the lack of the adequate knowledge of user's behavior or interests.Some systems are not] efficient enough because of the huge on-line computational demand.In this paper, we propose a personal documents recommendation system that effectively filters the on-line news on WWW for each individual user.The proposed system recommends useful news by employing the profiling techniques of modified content- and collaborative-based filtering.In order to reduce the on-line computation and improve the recommendation quality, we design a tree-based data mining algorithm that treats users' behavior and interest as input and filter the news documents efficiently.