Abstract: Scientific research is becoming more and more crucial to contemporary society as the backbone of the nation's innovation-driven development. The rapid growth of information technology and the rise of information technology in scientific research both contribute to the globalization of scientific research. Small research groups still don't have a place to showcase and share their accomplishments, though. In order to integrate scientific research information and combine personalised recommendation technology to suggest developments of interest to users through their historical behaviour data, the study proposes a personalised recommendation and sharing management system for scientific and technological achievements based on the Ruby on Rails framework. According to the testing results, the system had a 299ms request response time, a maximum 1KB request resource size, and a 20ms data transfer time. Additionally, the study's user-based collaborative filtering recommendation algorithm has an accuracy rate of 41% when the nearest neighbor parameter is set to 50, there are 10 information suggestions, and there are 0.7 training sets, which essentially satisfies the system criteria. In conclusion, the research suggested that a personalised recommendation and sharing management system for scientific and technological accomplishments can essentially satisfy the needs of small research teams to communicate and share scientific accomplishments, as well as realise the sharing of scientific achievements.

Shan Zuo, Kai Xiao and Taitian Mao, “Design of Personalized Recommendation and Sharing Management System for Science and Technology Achievements based on WEBSOCKET Technology” International Journal of Advanced Computer Science and Applications(IJACSA), 14(9), 2023. http://dx.doi.org/10.14569/IJACSA.2023.0140968

@article{Zuo2023,
title = {Design of Personalized Recommendation and Sharing Management System for Science and Technology Achievements based on WEBSOCKET Technology},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2023.0140968},
url = {http://dx.doi.org/10.14569/IJACSA.2023.0140968},
year = {2023},
publisher = {The Science and Information Organization},
volume = {14},
number = {9},
author = {Shan Zuo and Kai Xiao and Taitian Mao}
}