Behavior analysis method, system and equipment of e-commerce user and readable medium

• Main Authors: XU XIANCAI, PANG CHAO, XIONG LEI, WEI HAOHAO
• Format: Patent
• Language: Chinese; English
• Published: 23.12.2022
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

A behavior analysis method, system and device for an e-commerce user and a readable medium, the analysis method comprising: acquiring user data and commodity data of an e-commerce platform, and inputting the user data and the commodity data into a user behavior prediction model to obtain a probability of a user behavior type; the user behavior prediction model is a deep learning model obtained by training based on a user behavior data sample set and a corresponding user behavior type label, and predicting the user behavior according to the probability of the user behavior type. According to the invention, modeling is carried out on user behaviors by using a deep learning method, and intelligent marketing of enterprises is helped. 一种电商用户的行为分析方法、系统、设备及可读介质，该分析方法包括：获取电商平台的用户数据和商品数据，将所述用户数据和商品数据输入用户行为预测模型，得到用户行为类型的概率；所述用户行为预测模型是基于用户行为数据样本集和对应的用户行为类型标签训练得到的深度学习模型，根据所述用户行为类型的概率，预测用户行为。本申请利用深度学习的方法对用户行为进行建模，帮助企业智能化营销。