Research on Personalized Push of Mobile Education Resources Based on Mobile Social Network Big Data

Nowadays, mobile social networks and mobile educational resources have become two mainstream directions in internet applications. How to combine these two to achieve more personalized and intelligent learning resource push has become a relatively important research direction. Therefore, the research on personalized push of mobile education resources based on mobile social network Big data is proposed. Starting from the mobile social network, the user interest model is constructed by using Big data analysis technology, machine learning, recommendation system and other technical means, and it is matched with the mobile education resource database to achieve personalized recommendation of education resources. The experimental results demonstrate that this method has high recommendation accuracy, with a recommendation accuracy of 95%. It can provide intelligent and efficient learning resource push solutions for mobile learning, promoting the development of mobile learning.