Cross-social media user identity recognition method and system based on attention mechanism

The invention discloses a cross-social media user identity recognition method and method based on an attention mechanism. The method comprises the following steps: acquiring data of different modalities of a plurality of users on different social media to serve as training data; for data of different modalities, respectively adopting different models to learn potential representations of the data,and training a user identity recognition model; calculating the similarity of the data between the users on different social media by combining a time sequence relation and confidence coefficients ofthe data of different modalities; mapping the similarity between the users to a probability space by using a multi-layer perceptron to obtain the probability that the users on different social mediapoint to the same user entity; constructing an objective function by adopting cross entropy, and carrying out iterative optimization solution on model parameters, wherein the model is used for determining whether to point to th