A learners' personalization preference analysis model applied to E-learning content recommendation in consideration of time effect

Gwo Haur Hwang; Beyin Chen; Sherry Y. Chen

A learners' personalization preference analysis model applied to E-learning content recommendation in consideration of time effect

Gwo Haur Hwang, Beyin Chen, Sherry Y. Chen

網路學習科技研究所

研究成果: 會議貢獻類型 › 會議論文 › 同行評審

摘要

The accelerative update of the knowledge makes lifelong learning become important. But learners' preference may change over time. Therefore, in this paper, a personalization preference analysis model for e-learning content recommendation is proposed. The model is modified from e-commerce and is based on the half-life theory. It is expected that the model can also be applied to e-books' recommendation.

原文	???core.languages.en_GB???
頁面	735-737
頁數	3
出版狀態	已出版 - 2012
事件	20th International Conference on Computers in Education, ICCE 2012 - Singapore, Singapore 持續時間: 26 11月 2012 → 30 11月 2012

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	20th International Conference on Computers in Education, ICCE 2012
國家/地區	Singapore
城市	Singapore
期間	26/11/12 → 30/11/12

引用此

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title = "A learners' personalization preference analysis model applied to E-learning content recommendation in consideration of time effect",

abstract = "The accelerative update of the knowledge makes lifelong learning become important. But learners' preference may change over time. Therefore, in this paper, a personalization preference analysis model for e-learning content recommendation is proposed. The model is modified from e-commerce and is based on the half-life theory. It is expected that the model can also be applied to e-books' recommendation.",

keywords = "E-learning content recommendation, Half-life theory, Personalization preference",

author = "Hwang, {Gwo Haur} and Beyin Chen and Chen, {Sherry Y.}",

year = "2012",

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T1 - A learners' personalization preference analysis model applied to E-learning content recommendation in consideration of time effect

AU - Hwang, Gwo Haur

AU - Chen, Beyin

AU - Chen, Sherry Y.

PY - 2012

Y1 - 2012

N2 - The accelerative update of the knowledge makes lifelong learning become important. But learners' preference may change over time. Therefore, in this paper, a personalization preference analysis model for e-learning content recommendation is proposed. The model is modified from e-commerce and is based on the half-life theory. It is expected that the model can also be applied to e-books' recommendation.

AB - The accelerative update of the knowledge makes lifelong learning become important. But learners' preference may change over time. Therefore, in this paper, a personalization preference analysis model for e-learning content recommendation is proposed. The model is modified from e-commerce and is based on the half-life theory. It is expected that the model can also be applied to e-books' recommendation.

KW - E-learning content recommendation

KW - Half-life theory

KW - Personalization preference

UR - http://www.scopus.com/inward/record.url?scp=84896333870&partnerID=8YFLogxK

M3 - 會議論文

AN - SCOPUS:84896333870

SP - 735

EP - 737

T2 - 20th International Conference on Computers in Education, ICCE 2012

Y2 - 26 November 2012 through 30 November 2012

ER -

A learners' personalization preference analysis model applied to E-learning content recommendation in consideration of time effect

摘要

???event.eventtypes.event.conference???

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