The invention discloses a
team management application OA intelligent
processing system and method, and relates to the technical field of enterprise team digital management, and the
system comprises a data collection layer, a data storage layer, a
data analysis layer, and an
application layer. According to the method,
team management optimization is realized by sequentially solving the problems of
system adaptability of skill dynamic change and task
adaptation and employee behavior
habit change and task allocation
collaboration based on biological
rhythm and group psychology; firstly, based on an operation sequence similarity
algorithm and the like, the real-time problem of skill dynamic change and task
adaptation is solved, skill change is accurately captured, and matching accuracy is improved; based on the result, a deep
reinforcement learning model and the like are used for solving the system adaptability problem, so that the system quickly adapts to behavior
mode change; and finally, according to the previous two problem achievements, task allocation
collaboration is achieved through a multi-
dimensional analysis method, employee potential is exerted, multi-aspect deep fusion optimization is achieved, and extra steps and
software and hardware investment are not needed in the whole process.