In order to protect users'privacy data and improve the recommendation service level in location network,a point of interests(POI)recommendation model based on privacy protection is proposed.A privacy protection mechanism is randomly added to the original data to prevent attackers from attacking users with recommendation results.The data of each user are pro-cessed through the privacy protection mechanism and abided by relevant legal constraints,uploaded to the remote server.The data information is analyzed through the recommendation model.Simulation results show that when the extended radius is 2,the accuracy of the proposed privacy protection model is 0.762,which is 0.026 and 0.009 higher than two comparative models,respectively.It shows that the model provides a reference for data privacy when users recommend in location network.
维普
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