Abstract: Aiming at the problems of low accuracy, recall, coverage and push efficiency of university archives business data, a university archives business data push system based on big data mining technology is designed. Firstly, the overall architecture and topological structure of the university archives business data push system are designed, and then the functional modules of the system are designed. Using big data mining technology to mine user behavior, modeling according to user behavior sequence, and designing a model to predict user behavior sequence based on hidden Markov model theory. Finally, the user behavior sequence is analyzed, and the factors such as user collaboration, similarity of user behavior sequence and data timeliness are comprehensively considered to push university archives business data for users. The experimental results show that the proposed method has high data push accuracy, recall, coverage and push efficiency, and can effectively push the required business data for users.

Zhongke Wang and Jun Li, “Design of University Archives Business Data Push System Based on Big Data Mining Technology” International Journal of Advanced Computer Science and Applications(IJACSA), 14(11), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0141105

@article{Wang2023,
title = {Design of University Archives Business Data Push System Based on Big Data Mining Technology},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0141105},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0141105},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {11},
author = {Zhongke Wang and Jun Li}
}