The invention relates to the technical field of intelligent customer service and customer portrait
data management, and discloses a cross-model customer portrait collaborative updating intelligent customer service method and
system. The method is used for solving the problem of leakage risk caused by non-uniform shared calibers or insufficient information caused by excessive desensitization in a traditional method. The method comprises the following steps: firstly, receiving a multi-channel dialogue request by a unified entrance, completing identity
authentication, generating a dialogue number and a link identifier, and constructing a retrieval key capable of being reused across the entrances; and aggregating the multi-information-source portrait elements based on the retrieval key and labeling sensitive levels to form an entry
list. And matching a sharing rule according to the scene and the target model, determining a sharing range and a desensitization aperture, and generating a
version identifier. And according to the input constraint, formatting and
cutting the load, splicing the historical message injection model, updating the portrait version when the session ends or the condition is triggered, and writing the portrait version into the auditing index.