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.
Highlights
Personalized learning recommendation service is a kind of creative and active service, and it is an effective solution to solve the problem of information overloading
Considering that the knowledge in books has the application value only in a specific environment, this paper introduces the application environment of books into the book recommendation system to improve the accuracy and efficiency of the book recommendation
This paper, starting from the problem of information overloading existing in current digital library, discusses the method of solving the problem, analyses the origin of the problem of information overloading, and proposes digital library Personalized learning recommendation system based on Top-N algorithm
Summary
Personalized learning recommendation service is a kind of creative and active service, and it is an effective solution to solve the problem of information overloading. Its biggest characteristic is that it has clear target[1,2,3] This kind of new service model breaks the traditional passive service model. Many institutions have increased the research investment on personalized information service technology of library[7,8]. At present, China has not yet developed a set of perfect library personalized information service system. With the development of information technology, more and more institutions have shown the trend of researching and developing personalized information service system, such as Beijing University library and Shanghai Communication University library, China Agricultural University library and so on. Personalized information service system has a good development prospect in China
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Emerging Technologies in Learning (iJET)
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
