The Study of User Model of Personalized Recommendation System Based on Linked Course Data

Ji Yan Wu; Chan Le Wu

doi:10.4028/www.scientific.net/AMM.519-520.1609

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 519-520The Study of User Model of Personalized...

The Study of User Model of Personalized Recommendation System Based on Linked Course Data

Abstract:

The massive information on Internet makes users obtain information become in efficient.Similarly,the users in the field of e-learning face with the problems that learning resources are inefficient and learning paths unreasonable,etc .Linked Courses data is a standard of W3C proposed will be organized the courses in the national excellent courses into a linked data database. On the basis the author design a user model to meet the user's learning requirements, which will be the most suitable learning Resources recommended to the user. Finally, the author validate the model with experimental ,the application shows that the model can indicate the user's learning requirements,and rational and efficient learning path is recommended.

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Periodical:

Applied Mechanics and Materials (Volumes 519-520)

Pages:

1609-1612

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.519-520.1609

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Online since:

February 2014

Authors:

Ji Yan Wu*, Chan Le Wu

Keywords:

E-Learning, Linked Course Data, Linked Open Data, Personalized Recommendation System, Semantic Web

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* - Corresponding Author

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