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Store recall method and device, electronic equipment and storage medium

A technology of store and peer door, applied in the field of communication, can solve the problems of low recall efficiency and inability to deal with store recalls, and achieve the effect of improving recall efficiency and utilization rate

Pending Publication Date: 2021-04-20
BEIJING SANKUAI ONLINE TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, some important characteristics of distribution, such as unit price, customer group distribution, table ratio, etc., are generally unable to handle, which leads to low recall efficiency of similar stores

Method used

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  • Store recall method and device, electronic equipment and storage medium
  • Store recall method and device, electronic equipment and storage medium
  • Store recall method and device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0053] refer to figure 1 , which shows a flow chart of the steps of a method for recalling a peer store provided by an embodiment of the present disclosure, as figure 1 As shown, the method for recalling stores in the same industry may specifically include the following steps:

[0054]Step 101: According to the first business data of the target type in the target store, calculate the average in-bucket offset corresponding to multiple set bucket distances.

[0055] The embodiments of the present disclosure may be applied in a scenario where a target store is recalled from a peer store in combination with a hash index value.

[0056] The target store refers to the store that needs to recall the same store. Understandably, the target store can be a store of BI products, or a store of location selection. Specifically, it can be determined according to business needs. be restricted.

[0057] The first business data refers to the business data of the target type in the target sto...

Embodiment 2

[0087] refer to figure 2 , shows a flow chart of steps of another method for recalling peer stores provided by an embodiment of the present disclosure, such as figure 2 As shown, the method for recalling stores in the same industry may specifically include the following steps:

[0088] Step 201: According to the first business data of the target type in the target store, calculate the average in-bucket offset corresponding to multiple set bucket distances.

[0089] The embodiments of the present disclosure may be applied in a scenario where a target store is recalled from a peer store in combination with a hash index value.

[0090] The target store refers to the store that needs to recall the same store. Understandably, the target store can be a store of BI products, or a store of location selection. Specifically, it can be determined according to business needs. be restricted.

[0091] The first business data refers to the business data of the target type in the target ...

Embodiment 3

[0144] refer to Figure 5 , shows a schematic structural diagram of a peer store recall device provided by an embodiment of the present disclosure, as shown in Figure 5As shown, the recall device 300 of the same store can specifically include the following modules:

[0145] The offset calculation module 310 is used to calculate the average offset in the bucket corresponding to a plurality of set bucket distances according to the first business data of the target type in the target store;

[0146] The target bucket distance screening module 320 is used to screen out the target bucket distance from the plurality of set bucket distances according to the average inner bucket offset;

[0147] A bucketing data acquisition module 330, configured to divide the first business data according to the target bucket distance to obtain a plurality of bucketing business data;

[0148] The first index value generating module 340 is configured to generate a first hash index value according t...

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Abstract

The invention discloses a store recall method and device, electronic equipment and a storage medium. The method comprises the steps of calculating average in-bucket deviation degrees corresponding to a plurality of set bucket distances according to first service data of a target type in a target store; screening out a target bucket distance from the plurality of set bucket distances according to the average in-bucket deviation degree; dividing the first service data according to the target bucket distance to obtain a plurality of bucket service data; generating a first hash index value according to the plurality of bucket service data; generating a second hash index value corresponding to the candidate peer store according to the second business data of the target type in the candidate peer store and the target bucket distance; and according to the first hash index value and the second hash index value, obtaining a target peer store in the candidate peer stores, and recommending the target peer store to the target store. According to the invention, the recall index is established in combination with the certain type of business data of the store, so that the store recall efficiency is improved while the utilization rate of the business data of the store is improved.

Description

technical field [0001] The embodiments of the present disclosure relate to the field of communication technologies, and in particular, to a store recall method, device, electronic equipment, and storage medium. Background technique [0002] In many products for B-end merchants, the data information of similar (or competing) stores with our store will be provided. This is one of the important functions of many B-end products to reflect their own data value and service capabilities. For example, in BI products such as Merchant Operations Daily, merchant managers can not only see their own business data, but also see the rankings of similar merchants in the surrounding areas, business districts, and even the city, as well as the status of competing stores. In the recent situation, you can know yourself and the enemy. Or, in location selection products such as location assistants, the operating conditions of similar stores in the current area can be given based on the informati...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06F16/22G06F16/2458G06F16/28G06F17/18
Inventor 赵成明
Owner BEIJING SANKUAI ONLINE TECH CO LTD
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