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


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

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

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Authors

Yanling Li
School of Information Technology, SEGi University, No.9, Jalan Teknologi, Taman Sains Selangor Kota Damansara, PJU 5, 47810, Petaling Jaya, Selangor, Malaysia
S. C. Ng
School of Information Technology, SEGi University, No.9, Jalan Teknologi, Taman Sains Selangor Kota Damansara, PJU 5, 47810, Petaling Jaya, Selangor, Malaysia
Felermino M. D. A. Ali
School of Information Technology, SEGi University, No.9, Jalan Teknologi, Taman Sains Selangor Kota Damansara, PJU 5, 47810, Petaling Jaya, Selangor, Malaysia

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.