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A Novel Design of Education Video Personalized Recommendation System Based on Collaborative Filtering Recommendation Technology

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Ubiquitous Computing Application and Wireless Sensor

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 331))

Abstract

With rapid development of internet, the expansion of information restricts the effect of learning. This paper designs an education video personalized recommendation system based on collaborative filtering recommendation technology. We design this system mainly based on collaborative technology and content analysis technology. This system can increase the effect of teaching, also can increase the learning autonomy of students and make students studying high-efficiency. This system has been applied to Shanghai Lifelong Learning Network and achieves significant influence.

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Acknowledgments

This research was supported by Engineering Technology Research Centre of Shanghai Science and Technology Research Program (13DZ2252200), and also supported by Innovation Program of Shanghai Municipal Education Commission.

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Authors and Affiliations

  1. Shanghai Engineering Research Centre of Open Distance, Education Shanghai Open University, Shanghai, China

    Xiao Jun & Wang Min

Authors
  1. Xiao Jun
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  2. Wang Min
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Corresponding author

Correspondence to Wang Min .

Editor information

Editors and Affiliations

  1. Computer Science and Engineering, Seoul National University of Science & Technology SeoulTech, Seoul, Korea, Republic of (South Korea)

    James J. (Jong Hyuk) Park

  2. Department of Computer Science, Georgia State University, Atlanta, Georgia, USA

    Yi Pan

  3. President, National Ilan University, Yilan City, Taiwan

    Han-Chieh Chao

  4. Computer Science & Engineering, Gangneung-Wonju Natioanl University, Wonju, Korea, Republic of (South Korea)

    Gangman Yi

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© 2015 Springer Science+Business Media Dordrecht

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Jun, X., Min, W. (2015). A Novel Design of Education Video Personalized Recommendation System Based on Collaborative Filtering Recommendation Technology. In: Park, J., Pan, Y., Chao, HC., Yi, G. (eds) Ubiquitous Computing Application and Wireless Sensor. Lecture Notes in Electrical Engineering, vol 331. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-9618-7_47

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  • DOI: https://doi.org/10.1007/978-94-017-9618-7_47

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-017-9617-0

  • Online ISBN: 978-94-017-9618-7

  • eBook Packages: EngineeringEngineering (R0)

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