Predicting method for user behavior in e-commerce

Abstract

The invention discloses a predicting method for user behavior in e-commerce, and belongs to the technical fields of e-commerce and data processing. The predicting method comprises the following steps of S1, recording all behaviors of a user in an e-commerce system to a database of the e-commerce system; S2, carrying out data mining processing on primary data in the database so as to obtain a knowledge base; S3, building an MVC framework according to the knowledge base, according to the pruning algorithm, obtaining a success rate sequence from high to low of a next link by a Controller, removing the links with lower success rates, putting the links with higher success rates at the most marked position of a page, and outputting a corresponding View; S4, after a user click a link, selecting a corresponding score in a game tree by the Controller according to the selection of the user, and storing the score in a data source database and the database of the e-commerce system. Next possible selection of the user can be predicted through the pruning algorithm based on MVC probability, and further, e-commerce purchasing instructions can be provided for the e-commerce and the user.

Description

technical field [0001] The invention relates to the technical field of electronic commerce and data processing, in particular to a method for predicting user behavior in electronic commerce. Background technique [0002] In recent decades, due to the rise of the Internet, many websites and companies have accumulated a large amount of data, but the ability of computers to collect and store data far exceeds the ability to analyze, summarize and extract knowledge from data. In the face of massive data, people hope that computers can automatically and intelligently analyze and extract the knowledge and information contained in it, because people deeply understand that there are valuable information in the accumulated data, and these valuable information are important for business development and science. Research or formulation of policies has significant economic or social benefits, so data mining has attracted the attention of many companies. [0003] Data mining integrates t...

AI Technical Summary

Problems solved by technology

[0007] At present, in large-scale e-commerce websites, the user’s purchase behavior prediction is very weak. The category navigation of the website, recommended products, etc. are displayed to all users in a fixed style, but there is no personalized navigation arrangement and accurate product recommendation.

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