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Traversal method and system based on linear regression, equipment and storage medium

A linear regression and multiple linear regression technology, applied in the field of traversal algorithms, can solve problems such as the lack of joint evaluation of multiple parameters

Pending Publication Date: 2021-01-26
广东烟草广州市有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, the Chinese invention patent CN103942298A discloses "Recommendation Method and System Based on Linear Regression", and the publication date is July 23, 2014. Historical rating data of users and items; build a user-based linear regression model based on historical rating data; build an item-based linear regression model based on historical rating data; use the linear regression model of users and items to predict users' ratings for unrated items ;According to the user's ranking of predicted scores of all unrated items, recommend items with higher rankings to the user as candidates; in this invention, the predicted score sorting of all unrated items is realized, but it is only a simple screening of one parameter , did not achieve multiple parameters to be evaluated together, output multiple data

Method used

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  • Traversal method and system based on linear regression, equipment and storage medium
  • Traversal method and system based on linear regression, equipment and storage medium
  • Traversal method and system based on linear regression, equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0047] Such as figure 1 and figure 2 As shown, this example has data sources for the order quantity and reasonable quantification of the order details on the basis of obtaining the order details on a certain order date. This example is set to screen the combinations and proportions of suspected collocation sales according to the order quantity.

[0048] S101, obtaining order details on a certain date;

[0049] S102, loop through the order details of the day. Pass each retailer and retailer's record details as a parameter into the analysis sub-process;

[0050] S103, the current record details, judging whether the corresponding retailer is analyzed for the first time. If the retailer has not been visited and analyzed, add the record details to the sigle hash table. If so, pass the retailer as a parameter into the analysis sub-process, and then clear the sigle hash table after completion;

[0051] S104, calling the trust degree module, and comparing the data in the Res ha...

Embodiment 2

[0058] Such as image 3 As shown, this embodiment provides a device, including:

[0059] A memory 301 storing executable program codes;

[0060] a processor 302 coupled to the memory 301;

[0061] Wherein, the processor 302 invokes the executable program code stored in the memory 301 to execute a traversal method based on linear regression described in the above-mentioned sections.

[0062] It should be noted, image 3 The electronic equipment shown may also include a speaker module, a camera module, a display screen, a light projection module, a battery module, and a wireless communication module (such as a mobile communication module, a Wi-Fi module, an RF circuit, a Bluetooth module, etc.) , sensor modules (such as proximity sensors, pressure sensors, etc.), input modules (such as microphones, input buttons), and user interface modules (such as charging interfaces, external power supply interfaces, card slots, wired earphone interfaces, etc.) Components are not describe...

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Abstract

The invention relates to a traversal method and system based on linear regression, equipment and a storage medium. The traversal method comprises the following steps: obtaining order details of a certain date; circularly traversing the order details of the day, and transmitting the record details of each retailer and each retailer into an analysis sub-process as parameters; in the current record details, judging whether the corresponding retailer is analyzed for the first time or not, if not, adding the record details to the sigle hash table, and if so, transmitting the retailer as a parameterto an analysis sub-process, and emptying the sigle hash table after the end of the analysis; and calling a trust degree module, and comparing the data of the Res hash table with the data of the Mid hash table. According to the traversal method and system based on linear regression, the equipment and the storage medium, the hash table and the multivariate linear regression algorithm are utilized,the combination and proportion of optimal matching sales are directly selected out through order detail data including the types and number of cigarettes, and whether there is a suspected matching sales behavior or not is judged.

Description

technical field [0001] The present invention relates to the field of traversal algorithms, more specifically, to a linear regression-based traversal method, system, device and storage medium. Background technique [0002] Matching sales, also known as joint sales of goods, means that the buyer is required to purchase other products and services while purchasing one product or business. With the progress of market-oriented reforms, inspections of the tobacco industry have found that matching sales occur from time to time, which has an impact on market order. Among the matching sales behaviors that have been discovered (including the sales and operation data of direct-sale stores), most of them are short-selling cigarettes or high-priced cigarettes, which are paired with a certain proportion of unsalable cigarettes. At present, the tobacco industry lacks effective data screening methods for the inspection and analysis of collocation sales, mainly through the parties’ confessi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q30/06G06Q30/02G06Q30/00G06N20/00
CPCG06Q30/0635G06Q30/0201G06Q30/0203G06Q30/0185G06N20/00
Inventor 余栋柱
Owner 广东烟草广州市有限公司