A user identity matching method based on integrating account attributes
A user identity matching method based on integrating account attributes is a scholarly work, published in 2018 in ''Journal of Physics: Conference Series''. The main subjects of the publication include measure, complex network, Choquet integral, mathematics, data mining, particle swarm optimization, artificial intelligence, identity, computer science, similarity, similarity measure, graph neural network, recommender system, blossom algorithm, matching, machine learning, pattern recognition, and fuzzy logic. The experimental results in multiple sets of data showed that the average F1 value of the proposed algorithm reaching 84.5%.