The invention relates to the technical field of advertisement
data analysis, and provides a user interaction behavior-based mobile advertisement effect
evaluation system, which comprises an acquisition and judgment module for performing judgment after advertisement
exposure, simultaneously sensing three types of signals in a preset window, calculating a door domain consistency
score and acquiring an interaction event, generating a local statistical vector and an
interaction strength score; the service evaluation module is used for performing
causal inference by adopting a random control experiment, decomposing each contact contribution based on a multi-contact attribution model, obtaining an advertisement increment effect and a
confidence interval thereof, and generating an
evaluation result according to three levels of creativity, advertisement and crowd; the cooperative control module is used for monitoring the state, performing online adjustment on the sampling rate, the
feature dimension and the return frequency, controlling the evaluation variance
not to exceed a preset threshold value, and dynamically balancing the endurance and the evaluation precision; and the privacy convergence block is used for protecting data by adopting a
differential privacy noise injection and
federated learning mode, and is also responsible for recording and managing agreement states and withdrawal requests of the users.