International Journal of Scientific Engineering and Technology
  • Year: 2015
  • Volume: 4
  • Issue: 11

Design of a Reading Recommendation Method Based on User Preference for Online Learning

  • Author:
  • Yanling Li, S. C. Ng, Felermino M. D. A. Ali
  • Total Page Count: 4
  • Page Number: 519 to 522

School of Information Technology, SEGi University No.9, Jalan Teknologi, Taman Sains Selangor Kota Damansara, PJU 5, 47810, Petaling Jaya, Selangor, Malaysia

*67028728@qq.com

**ashleyng@segi.edu.my

***feleminoali@gmail.com

Online published on 28 March, 2017.

Abstract

A design of reading recommendation method based on user preference for online learning namely, RM-UP is proposed. The aim of this study is to design an online learning recommendation system to support automatic information extract, dynamic user preference analysis and conduct an accurate recommendation of reading materials to relevant users.

Keywords

Recommendation method, Knowledge base, User preference, Online learning