基于模糊神经网络算法构建网络购买行为预测模型

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中图分类号：TP183；F724.6 文献标识码：A 文章编号：1006-8228（2025）12-50-06

Abstract：Inthee-commerceenvironmentdrivenbybigdataaccuratelypredictinguserpurchaseintentionisakeytoenhancing platformconversionratesanduserexperience.Thispaperproposesauserpurchaseintentionpredictionmodel basedonafuzzy neuralnetworkalgorithm.Firstbasedon3OdaysrealbehavioraldatafromtheTaobaoplatform，322-dimensionalbhavioral featureswereconstructed，andtheSVM-RFEalgorithmwasusedtoselect2Oigh-contributionfeatures.Second，buildinguponthe fuzzyneuralnetworkalgorithmandincorporatingthepredictionmodelevaluationmetricsalongwiththe5-foldcro-validation method，anonlinepurchasingbehaviorpredictionmodelwasconstructed.Finallmodelevaluationverifiedthatthecostructed modelexhibitsgoodpredictiveperformanceandrobustnes.Thisresearchprovidesapracticalpredictionframeworkforreal-time personalized recommendation systems on e-commerce platforms.

Words：PurchaseIntention;FuzzyNeuralNetwork;FeatureSelection;SVM-RFE；5-foldCross-validation;PredictionMc

0引言

随着科技的快速发展，网络购物已成为主流购物方式。（剩余7033字）