User portrait construction based on deep learning and its application in marketing
In order to discuss the application of deep learning technology in the construction of user portrait and its impact on marketing strategies,a multi-dimensional user portrait is constructed by collecting user information,behavioral data and context information,data analysis,processing,user label modeling combined with deep learning framework,and the optimization of deep model.The research results show that deep learning technology can effectively build user portraits,which can then help enterprises to accurately locate target users and achieve precise marketing strategies,optimize product design and user experience,predict user behavior,and improve the marketing effect.The results can provide a good reference for enterprises to build user portraits and implement marketing strategies.
deep learninguser portraitmarketing strategymarket segmentationprivacy protection
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