Unlock instant, AI-driven research and patent intelligence for your innovation.

E-commerce water army identification method based on interval segmentation

An identification method, a naval technology, applied in business, instrumentation, data processing applications, etc., can solve problems such as poor performance and poor robustness, and achieve the effect of low time complexity and easy expansion.

Active Publication Date: 2021-11-19
北京四方恒通网络信息有限公司
View PDF4 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The above algorithm does not perform very well when the amount of data is large and sparse, and its robustness is not good.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • E-commerce water army identification method based on interval segmentation
  • E-commerce water army identification method based on interval segmentation
  • E-commerce water army identification method based on interval segmentation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0064] The technical achievements of the present invention will be described in detail below in conjunction with the relevant drawings.

[0065] Such as figure 1 As shown, the present invention proposes a method for identifying e-commerce trolls based on interval segmentation, and the idea is as follows:

[0066] (1) Use triple storage for data storage. Due to the sparse distribution of the user rating matrix, we define a triplet data structure G={i, α, r}, where i, α, r represent users, products and ratings in turn. A triplet of data represents a user's behavior of scoring once. Building this data storage structure can cover all scoring behaviors with a small amount of data storage;

[0067] (2) Calculate the mean and variance of the historical rating of the commodity. We assume that the ratings of the products obey the normal distribution, and calculate the mean and variance to facilitate the standardization of the data;

[0068] (3) Use the Z-score method to normalize t...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an e-commerce water army identification method based on interval segmentation. The method comprises the following steps: standardizing initial data by using Z-score; calculating a correct scoring interval of each commodity, the score in the interval being considered to be reasonable, otherwise, the score in the interval being not reasonable; calculating the score accuracy and range of each user; calculating the distance sum from each score of the user to the correct score interval of the corresponding commodity, and calculating the reputation of the user in combination with the accuracy and range of the score of the user; and finally, selecting the first N low-reputation users as water armies. The method is tested on three data sets (MoiveLens, Netflix and Amazon), and the result shows that the method has good performance in the aspects of calculating the user reputation and identifying the water army, and has relatively high accuracy and robustness and strong expandability.

Description

technical field [0001] The invention belongs to the field of information technology in computer networks, includes precise analysis of big data, relates to a method for evaluating user credit in an e-commerce system through user scoring features, and is a method for analyzing weighted user-commodity two An evaluation and calculation method of user reputation can be obtained by using the partial map. Background technique [0002] With the development of economy and network technology, it is more convenient and affordable to complete commodity transactions online, which greatly promotes the development of e-commerce. In the transaction process, commodity ratings are a very important criterion for users to choose, so we need Create a solid scoring system. There are many problems in the current reputation scoring system, the most common of which is the scoring deviation problem caused by users' random or malicious ratings, especially the large-scale positive or negative ratings...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
IPC IPC(8): G06Q30/06G06F16/903G06F17/11G06F17/16
CPCG06Q30/0609G06F17/16G06F17/11G06F16/903
Inventor 孙宏亮刘国鑫丁俊杰钱子杰卜湛曹杰
Owner 北京四方恒通网络信息有限公司