Development of a reading material recommendation system based on a multi-expert knowledge acquisition approach

Ching Kun Hsu, Chih Kai Chang, Gwo Jen Hwang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

In English courses, it is very important to assign proper articles to individual students for training their reading ability. This study proposes an innovative approach for developing reading material recommendation systems by eliciting domain knowledge from multiple experts. An experiment has been conducted to evaluate the performance of the approach; moreover, a comparison on the existing approaches is given to show the advantages of applying the innovative approach.

Original languageEnglish
Title of host publicationProceedings - 2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009
Pages273-277
Number of pages5
DOIs
Publication statusPublished - 2009 Nov 20
Externally publishedYes
Event2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009 - Riga, Latvia
Duration: 2009 Jul 152009 Jul 17

Publication series

NameProceedings - 2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009

Other

Other2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009
CountryLatvia
CityRiga
Period09/7/1509/7/17

ASJC Scopus subject areas

  • Computer Science Applications
  • Hardware and Architecture
  • Software

Fingerprint Dive into the research topics of 'Development of a reading material recommendation system based on a multi-expert knowledge acquisition approach'. Together they form a unique fingerprint.

  • Cite this

    Hsu, C. K., Chang, C. K., & Hwang, G. J. (2009). Development of a reading material recommendation system based on a multi-expert knowledge acquisition approach. In Proceedings - 2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009 (pp. 273-277). [5194224] (Proceedings - 2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009). https://doi.org/10.1109/ICALT.2009.168