Cross-social network user identity matching method based on entropy weight method, medium and device

The invention provides a cross-social network user identity matching method based on an entropy weight method, a medium and a device. The method comprises the following steps: S10, data collection: collecting user attribute information of a plurality of social networks; s20, feature extraction and fusion: extracting and fusing user attribute features based on the user attribute information; s30, similarity calculation: calculating the similarity of different attribute characteristics of the two users; s40, identity matching: distributing weights for different attributes of the two users by using an entropy weight method, and calculating the overall similarity of the two users based on the similarity and the weights of different attribute characteristics of the two users; and S50, outputting a result: judging whether the identities of the two users are matched or not according to the overall similarity of the two users. According to the method, the user identity is matched through a multi-dimensional informati