摘要
为了更好的为移动图书馆用户提供个性化服务,提出一种基于滑动窗口的移动图书馆用户行为深度挖掘算法。通过实验结果表明,本算法能够准确的挖掘出移动图书馆用户行为,且挖掘效率较高,具有一定的实际应用价值。
In order to better provide personalized services for mobile library users, a sliding window-based mobile library user behavior deep mining algorithm is proposed. The experimental results show that the algorithm based on sliding window can accurately mine mobile library user behavior, and the mining efficiency is high, which has certain practical application value.
作者
周黎源
ZHOU Li-yuan(Graphic Information Center of Shanghai Urban Construction Vocational College,Shanghai 201999 China)
出处
《自动化技术与应用》
2022年第9期52-54,86,共4页
Techniques of Automation and Applications
