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The algorithm is improved on the deep learning recommendation algorithm named\u00a0Wide & Deep Learning (WDL), which is a CTR (Click\u2010through rate prediction) prediction algorithm. MMF (Multi\u2010level Fusion Feature) uses collaborative filtering to replace linear methods in the wide part of WDL, introduces feature interactions to model user representations and item representations separately, and uses ResNet (Residual Network) ideas to improve deep neural network\u00a0(DNN) in the deep part to reduce the performance degradation caused by overfitting. The experimental validation was conducted on the online education data set and the public data set MovieLens\u20101M, and the AUC was improved by 1.21% and 1.46%, respectively. 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