Generation method and system of online shopping user large index model

An index model and user quantity technology, applied in customer relationship, data processing application, market data collection, etc., can solve problems such as consumption monitoring of non-online shopping users

Inactive Publication Date: 2018-10-19
NANJING UNIV OF POSTS & TELECOMM
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Problems solved by technology

[0007] The purpose of the present invention is to provide a method for generating a large index model of online shopping users and a system to solve the problems in the prior art th

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  • Generation method and system of online shopping user large index model
  • Generation method and system of online shopping user large index model
  • Generation method and system of online shopping user large index model

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Embodiment

[0108] The large index model of online shoppers is a statistical index model that monitors and predicts the consumption scale, consumption level, degree of satisfaction, choice of rights protection behavior and behavior characteristics of knowing fakes and buying fakes in specific regions, specific online shoppers, specific products, and specific consumption platforms. It can be used to detect and predict the consumption behavior of registered users on the platform of online e-commerce companies, and it can also be used to monitor and predict the macroscopic status of online consumption of government functional departments at a specific time, in a specific region, and in specific consumer goods.

[0109] A method for generating a large index model of online shopping users, which respectively generates an online shopping consumption index, an online shopping satisfaction index, an online shopping rights protection index, and an online shopping fake index; comprising the following...

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Abstract

The invention provides a generation method and system of an online shopping user large index model. The generation method and system generate an online shopping consumption index, an online shopping satisfaction index, an online shopping rights protection index, and an online shopping false purchasing index. The online shopping consumption index is calculated through online shopping platform transaction data. The online shopping satisfaction index is calculated through commodity comment text recognition. The online shopping rights protection index is calculated through commodity comment rightsprotection text recognition. The online shopping false purchasing index is calculated through false purchasing text recognition. On the basis of the model calculation results of the steps, an onlineshopping user large index is obtained through model integration calculation, and an online shopping user large index prediction model is obtained through an ARMA model. The calculation data of the online user large index model generated by the method and system can be easily obtained, each output result of the model is unique and stable, and the overall development state of the online consumptionlevel, satisfaction degree, rights protection behavior and false purchasing comments of specific commodities and specific consumer groups in a certain period of time can be dynamically monitored and predicted.

Description

technical field [0001] The invention relates to a method and system for generating a large index model of online shopping users. Background technique [0002] According to related searches and comparisons, related technologies include: [0003] 1. In May 2016, Ant Financial Services Research Institute relied on the data of e-commerce platforms, represented by Alipay online consumption, which accounts for a large proportion of national online consumption, and compiled a consumption index by region, group of people, and product industry. It is the new supply-ant online consumption index used to describe the consumption status and development trend of national online consumers, but it has not designed and compiled the satisfaction index, rights protection index and counterfeit purchase index. [0004] 2. The China Customer Satisfaction Index Model CCSI jointly released by China Beijing-brand rating agency Chnbrand. It comprehensively calculates the China Customer Satisfaction...

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Application Information

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IPC IPC(8): G06Q30/02G06Q30/00
CPCG06Q30/0201G06Q30/01G06Q30/0202
Inventor 陈瑞义江烨钱鹏程
Owner NANJING UNIV OF POSTS & TELECOMM
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