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

Xin Gao, Wen-xue Huang, Ning Wang, Yan-chao Yang, Ying Yan


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.


Top-N algorithm;library;Personalized learning recommendation system

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Copyright (c) 2017 Xin Gao, Wen-xue Huang, Ning Wang, Yan-chao Yang, Ying Yan

International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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