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

Ching Kun Hsu; Chih Kai Chang; Gwo Jen Hwang

doi:10.1109/ICALT.2009.168

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

Ching Kun Hsu^*, Chih Kai Chang, Gwo Jen Hwang

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English
Title of host publication	Proceedings - 2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009
Pages	273-277
Number of pages	5
DOIs	https://doi.org/10.1109/ICALT.2009.168
Publication status	Published - 2009
Externally published	Yes
Event	2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009 - Riga, Latvia Duration: 2009 Jul 15 → 2009 Jul 17

Publication series

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

Other

Other	2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009
Country/Territory	Latvia
City	Riga
Period	2009/07/15 → 2009/07/17

ASJC Scopus subject areas

Computer Science Applications
Hardware and Architecture
Software

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10.1109/ICALT.2009.168

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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). Article 5194224 (Proceedings - 2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009). https://doi.org/10.1109/ICALT.2009.168

Development of a reading material recommendation system based on a multi-expert knowledge acquisition approach. / Hsu, Ching Kun; Chang, Chih Kai; Hwang, Gwo Jen.
Proceedings - 2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009. 2009. p. 273-277 5194224 (Proceedings - 2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Hsu, CK, Chang, CK & Hwang, GJ 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., 5194224, Proceedings - 2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009, pp. 273-277, 2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009, Riga, Latvia, 2009/07/15. https://doi.org/10.1109/ICALT.2009.168

Hsu CK, Chang CK, Hwang GJ. 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. 2009. p. 273-277. 5194224. (Proceedings - 2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009). doi: 10.1109/ICALT.2009.168

Hsu, Ching Kun ; Chang, Chih Kai ; Hwang, Gwo Jen. / Development of a reading material recommendation system based on a multi-expert knowledge acquisition approach. Proceedings - 2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009. 2009. pp. 273-277 (Proceedings - 2009 9th IEEE International Conference on Advanced Learning Technologies, ICALT 2009).

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

Abstract

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ASJC Scopus subject areas

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