The invention provides an e-commerce advertisement putting strategy optimization method and
system based on multi-source
perception. The method comprises the following steps: firstly, extracting a user interest vector representing user interests and preferences and a scene vector representing current interaction scene
semantics and a user instant state; a preference association evaluation quantity is generated based on the user interest vector and the candidate advertisement
feature vector; under the guidance of an advertisement putting strategy template, on the basis of the scene vector and the candidate advertisement
feature vector, generating a scene
adaptation evaluation quantity representing the
adaptation degree of the candidate advertisement to the current interaction scene; and performing fusion evaluation on the current advertisement putting decision through the preference association evaluation quantity and the scene
adaptation evaluation quantity to obtain a strategy decision
score of advertisement putting, and adjusting and executing an advertisement putting strategy for the target user in the current interaction scene according to the strategy decision
score. By adopting the scheme of the invention, the robustness of the advertisement putting
system can be improved based on the dynamic decision of collaborative analysis of the user interest preference and the real-time interaction scene.