The invention relates to the technical field of computers, and discloses a
data processing method, device and
system based on multi-dimensional parameter hierarchical matching. In order to solve the technical problem that the figure matching precision and efficiency under
mass data are difficult to consider at the same time, the core of the invention is executed by a
server by the following steps: acquiring a
body size parameter set of a user and a
content creator, and configuring importance weights based on fitness; and performing hierarchical matching through a multi-level index
structure based on a weight sequence, performing iterative screening on the candidate set on each parameter dimension in sequence, taking a result as a next round of input, and finally outputting a candidate
result set with the highest matching degree. According to the method, the
key size matching precision is guaranteed preferentially, the calculation complexity is reduced from O (n) to O (logn) by means of an iterative screening mechanism optimization calculation path based on multi-level indexes, the calculation load and resource overhead of a
server are remarkably reduced, and high-precision real-time matching in a
mass data environment is achieved.