Method for mining potential purchased commodities and categories of users based on user behavior characteristics

Abstract

The invention belongs to the field of user behavior analysis and data mining, and relates to a method for mining potential purchased commodities and categories of a user based on user behavior characteristics, which comprises the following steps of: performing data coding on preprocessed data, and performing characteristic engineering processing to obtain user behavior characteristic data; carrying out positive and negative sample analysis and classification on the sample data, and carrying out dynamic undersampling processing on positive and negative samples to generate a plurality of samplesubsets as trained positive and negative sample data; training the decision tree model through the positive and negative sample data, training a plurality of single prediction models, and fusing the single prediction models in a stacking mode to generate a plurality of fused prediction models; and predicting the potential purchased commodities and categories of the user based on the plurality of fusion prediction models, and processing and analyzing the prediction result of each fusion prediction model to obtain the potential purchased commodities and categories of the user with weights. According to the invention, merchants can be helped to explore users with high potential purchase intention, and the user consumption conversion rate of marketing is improved.

Description

technical field [0001] The invention belongs to the field of user behavior analysis and data mining, and relates to a method for mining potential commodities and categories purchased by users based on user behavior characteristics. Background technique [0002] Today, with the rapid development of e-commerce, proactive marketing can make merchants stand out in a market flooded with homogeneous products, attract users and effectively increase the conversion rate of marketing users. How to actively market, the traditional method is through advertising and media communication, but these methods are all about traffic, and the conversion rate of acquiring users is basically a game of luck, so we need to find a more effective way to improve user consumption conversion The key lies in how to accurately acquire target users and push the most likely product information to them, and how to acquire target users and target products involves mining and forecasting. Contents of the inve...

AI Technical Summary

Problems solved by technology

How to actively market, the traditional method is through advertising and media communication, but these methods are all about traffic, and the conversion rate of acquiring users is basically a game of luck, so we need to find a more effective way to improve user consumption conversion rate, the key lies in how to accurately acquire target users and push them the most likely purchase product information, and how to acquire target users and target products involves mining and forecasting

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