Design of contents recommendation model based on gray system theory

Li Hua Zhang, Yi Wei Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to improve evaluation of e-learning systems, this paper introduces a model of learning content recommendation based on grey systems theory and gray relational analysis algorithms. This work analyses e-learners' behaviours of e-learning and log files of the platform, find the most resemble e-learner, use his/her learning trail to recommend e-learning resources. The gray system theory can solve the problem of lacking historical data. And this model reach the purpose of selecting individual teaching contents intelligently.

Original languageEnglish
Title of host publicationApplied Science, Materials Science and Information Technologies in Industry
Pages1536-1539
Number of pages4
DOIs
Publication statusPublished - 2014
Event2014 International Conference on Advances in Materials Science and Information Technologies in Industry, AMSITI 2014 - Xian, China
Duration: 11 Jan 201412 Jan 2014

Publication series

NameApplied Mechanics and Materials
Volume513-517
ISSN (Print)1660-9336
ISSN (Electronic)1662-7482

Conference

Conference2014 International Conference on Advances in Materials Science and Information Technologies in Industry, AMSITI 2014
Country/TerritoryChina
CityXian
Period11/01/1412/01/14

Keywords

  • Data mining
  • E-learning contents recommendation
  • Grey systems

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