A Top-N Algorithm-based Personalized Learning Recommendation System for Digital Library

Authors

  • Xin Gao North China University of Science and Technology
  • Wen-xue Huang North China University of Science and Technology
  • Ning Wang North China University of Science and Technology
  • Yan-chao Yang North China University of Science and Technology
  • Ying Yan North China University of Science and Technology

DOI:

https://doi.org/10.3991/ijet.v11i11.6256

Keywords:

Top-N algorithm, library, Personalized learning recommendation system

Abstract


The digital library brings convenience, but meanwhile, it also brings the problems of overloaded information and over-diversified forms,thus search becomes difficult. Personalized Learning Recommendation System is the key to solve the problems, and suitable for the situation with user diversification and demand diversification. With the System, users spend the least time and energy in accurately finding the information they need, where efficiency is improved to the greatest extent. The research conclusion of personalized learning recommendation system based on Top-N algorithm is based on the calculation of the experimental results from the analysis of the related theory and technology based on Top-N algorithm.

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Published

2016-11-29

How to Cite

Gao, X., Huang, W.- xue, Wang, N., Yang, Y.- chao, & Yan, Y. (2016). A Top-N Algorithm-based Personalized Learning Recommendation System for Digital Library. International Journal of Emerging Technologies in Learning (iJET), 11(11), pp. 55–59. https://doi.org/10.3991/ijet.v11i11.6256

Issue

Vol. 11 No. 11 (2016)

Section

Papers

License

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