CN112184350A - User order processing method and device, storage medium and server - Google Patents

User order processing method and device, storage medium and server Download PDF

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Publication number
CN112184350A
CN112184350A CN201910597793.2A CN201910597793A CN112184350A CN 112184350 A CN112184350 A CN 112184350A CN 201910597793 A CN201910597793 A CN 201910597793A CN 112184350 A CN112184350 A CN 112184350A
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China
Prior art keywords
address
similarity
characters
level
user order
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Chinese (zh)
Inventor
于见雨
陈小伟
李佐伟
王淳
万锋
谢洪涛
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China Mobile Communications Group Co Ltd
China Mobile Group Jiangxi Co Ltd
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China Mobile Communications Group Co Ltd
China Mobile Group Jiangxi Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0633Lists, e.g. purchase orders, compilation or processing
    • G06Q30/0635Processing of requisition or of purchase orders
    • G06Q50/40

Abstract

The embodiment of the invention provides a user order processing method, a user order processing device, a storage medium and a server. In the technical scheme provided by the embodiment of the invention, the address data of the user order is divided into a plurality of levels of address fields by obtaining the address data of the user order, a first similarity is generated according to the address fields of the specified level and a second similarity is generated according to the address fields of the previous level of the specified level according to the result of judging whether the address fields of the plurality of levels comprise the address fields of the specified level, and the user order is processed according to the first similarity and the second similarity; or calculating a third similarity and a fourth similarity according to the address fields of the multiple levels, and processing the user order according to the third similarity and the fourth similarity, so that the retrieval efficiency of the address data is improved, the order placement by the user is facilitated, and the processing efficiency of the user order is improved.

Description

User order processing method and device, storage medium and server
[ technical field ] A method for producing a semiconductor device
The invention relates to the technical field of communication, in particular to a user order processing method, a user order processing device, a storage medium and a server.
[ background of the invention ]
The ordering and handling of broadband services is one of the important services of the current home services, and the handling has the characteristics of long link flow and complex home address selection. The broadband service is actually installed for the user, so when the user orders the broadband service and the product, the home address of the user needs to be accurately recorded in the system. The selection of broadband installation addresses has the current situations of high complexity, complex data, difficult selection and the like. An excellent address home address selection scheme plays an important role in simplifying the flow of the whole service.
In the existing scheme, a database is uniformly recorded into a whole provincial range and a whole amount of family resource coverage addresses, online query is carried out in an http + json mode, accurate query needs to be carried out according to accurate house addresses of users in the query process, and query efficiency is low due to huge data magnitude; and the retrieval information needs to be accurately input in the query process due to the splitting strategy of the address. In addition, in the business ordering link, the house number address of the user needs to be accurately input, so that the operation of the user client is complex, and the business handling efficiency of the user is greatly reduced.
[ summary of the invention ]
The invention provides a user order processing system which can solve the problem that in the prior art, due to the fact that the data magnitude is huge and is limited by a splitting strategy of an address, retrieval information needs to be accurately input in the query process, and therefore query efficiency is low. And the address data of the user order needs to be accurately input in the broadband service ordering link, so that the operation of the user client is more complicated, and the service handling efficiency of the user is greatly reduced.
In order to solve the above problems, the present invention provides the following solutions:
in one aspect, an embodiment of the present invention provides a user order processing method, including:
acquiring address data of a user order;
dividing address data of a user order into a plurality of levels of address fields;
judging whether the address fields of the multiple levels comprise address fields of a specified level or not;
if the address fields of the multiple levels comprise the address fields of the appointed level, generating a first similarity according to the address fields of the appointed level and generating a second similarity according to the address fields of the last level of the appointed level, and processing the user order according to the first similarity and the second similarity;
and if the address fields of the multiple levels do not comprise the address fields of the appointed level, calculating a third similarity and a fourth similarity according to the address fields of the multiple levels, and processing the user order according to the third similarity and the fourth similarity.
Optionally, before generating the first similarity according to the address field of the designated level and generating the second similarity according to the address field of the previous level of the designated level, the method further includes:
inquiring whether the historical stock data comprises an address field of a specified level;
and if the historical stock data does not comprise the address field of the specified level, executing the steps of generating the first similarity according to the address field of the specified level and generating the second similarity according to the address field of the previous level of the specified level.
Optionally, the processing the user order according to the first similarity and the second similarity includes:
judging whether the first similarity is greater than or equal to a first threshold or greater than or equal to a second threshold and smaller than the first threshold or smaller than the second threshold;
if the first similarity is judged to be larger than or equal to a first threshold value, the user order is sent to an installer client;
if the first similarity is judged to be greater than or equal to a second threshold and smaller than the first threshold, judging whether the second similarity is greater than or equal to a third threshold;
if the second similarity is judged to be larger than or equal to a third threshold value, the user order is sent to an installer client;
if the second similarity is smaller than a third threshold value, the user order is saved;
and if the first similarity is smaller than a second threshold value, saving the user order.
Optionally, the generating the first similarity according to the address field of the specified level includes:
acquiring an address field of a specified level, wherein the address field of the specified level comprises address characters of the specified level;
calculating the number of characters of the address characters of the specified level, which is the same as the number of characters of the address characters of the corresponding level in each historical stock data;
according to formula Ai=Xi/YiCalculating a first address similarity, X, corresponding to each historical inventory dataiFor the same number of characters as the address characters of the corresponding level in each historical stock data, YiThe number of address characters of the corresponding level in each historical stock data;
selecting the maximum address similarity from the corresponding first address similarities of the plurality of historical stock data as the first similarity;
the generating of the second similarity according to the address field of the previous level of the specified level includes:
acquiring an address field of an upper level of a specified level; the address field of the previous level of the specified level comprises an address character of the previous level of the specified level;
calculating the number of characters of the address character of the upper level of the specified level and the number of characters of the address character of the corresponding level in each historical stock data;
according to formula Bi=Mi/NiCalculating a second address similarity, M, corresponding to each of the historical stock dataiFor the same number of characters as the address characters of the corresponding level in each historical stock data, NiThe number of address characters of the corresponding level in each historical stock data;
and selecting the maximum address similarity from the corresponding second address similarities of the plurality of historical stock data as the second similarity.
Optionally, before calculating the third similarity and the fourth similarity according to the address fields of the multiple levels, the method further includes:
extracting a set number of address characters from the address fields of the plurality of levels;
inquiring whether the historical stock data comprises a continuous set number of address characters;
and if the historical stock data does not comprise the continuous set number of address characters, executing the step of processing the user order according to the third similarity and the fourth similarity.
Optionally, the processing the user order according to the third similarity and the fourth similarity comprises:
extracting a specified multiple of a set number of consecutive address characters from the plurality of levels of address fields; the continuous set number of address characters is the same as the specified multiple of continuous set number of address characters minus 1 character at most;
generating a third similarity according to the continuous set number of address characters of the specified multiple;
generating a fourth similarity according to the continuous set number of address characters;
judging whether the third similarity is greater than or equal to a first threshold value or is greater than or equal to a second threshold value and smaller than the first threshold value or is smaller than the second threshold value;
if the third similarity is judged to be larger than or equal to a first threshold value, the user order is sent to an installer client;
if the third similarity is judged to be greater than or equal to the second threshold and smaller than the first threshold, judging whether the fourth similarity is greater than or equal to the third threshold;
if the fourth similarity is judged to be larger than or equal to a third threshold value, the user order is sent to an installer client;
if the four similarity degrees are judged to be smaller than a third threshold value, the user order is saved;
and if the third similarity is smaller than a second threshold value, storing the user order.
Optionally, the generating a third similarity according to the specified multiple of the consecutive set number of address characters includes:
calculating the number of the characters of which the address characters are the same as the address characters in each historical stock data in the specified multiple and the number of the address characters in the specified multiple;
according to formula A1i=X1i/Y1iCalculating a third address similarity to each historical inventory data, X1iFor the same number of characters as the address character in each historical stock data, Y1iThe number of address characters in each historical stock data;
selecting the maximum address similarity from the third address similarities of the plurality of historical stock data as the third similarity;
the generating a fourth similarity according to the continuous set number of address characters includes:
calculating the number of the continuous address characters with the set number and the number of the characters with the same address characters in each historical stock data;
according to formula B1i=M1i/N1iCalculating a fourth address similarity to each historical inventory data, M1iIs prepared by reacting withNumber of characters with the same address character in each historical stock data, N1iThe number of address characters in each historical stock data;
and selecting the maximum address similarity from the fourth address similarities of the plurality of historical stock data as the fourth similarity.
In another aspect, an embodiment of the present invention provides a user order processing apparatus, including:
the acquisition module is used for acquiring address data of a user order;
the dividing module is used for dividing the address data of the user order into a plurality of levels of address fields;
the judging module is used for judging whether the address fields of the multiple levels comprise the address fields of the appointed level or not;
the first generating module is used for generating a first similarity according to the address field of the specified level and generating a second similarity according to the address field of the previous level of the specified level if the judging module judges that the address fields of the multiple levels comprise the address field of the specified level;
the second generating module is used for calculating a third similarity and a fourth similarity according to the address fields of the multiple levels if the judging module judges that the address fields of the multiple levels do not comprise the address fields of the appointed level;
and the processing module is used for processing the user order according to the first similarity and the second similarity and processing the user order according to the third similarity and the fourth similarity.
In another aspect, an embodiment of the present invention provides a storage medium, where the storage medium includes a stored program, where when the program runs, a device where the storage medium is located is controlled to execute the user order processing method according to any one of claims 1 to 7.
In another aspect, an embodiment of the present invention provides a server, including a memory for storing information including program instructions and a processor for controlling execution of the program instructions, where the program instructions are loaded and executed by the processor to implement the steps of the user order processing method according to any one of claims 1 to 7.
The embodiment of the invention provides a user order processing method, a user order processing device, a storage medium and a server. In the technical scheme provided by the embodiment of the invention, the address data of the user order is divided into a plurality of levels of address fields by obtaining the address data of the user order, a first similarity is generated according to the address fields of the specified level and a second similarity is generated according to the address fields of the previous level of the specified level according to the result of judging whether the address fields of the plurality of levels comprise the address fields of the specified level, and the user order is processed according to the first similarity and the second similarity; or calculating a third similarity and a fourth similarity according to the address fields of the multiple levels, and processing the user order according to the third similarity and the fourth similarity, so that the retrieval efficiency of the address data is improved, the order placement by the user is facilitated, and the processing efficiency of the user order is improved.
[ description of the drawings ]
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive labor.
Fig. 1 is a flowchart of a user order processing method according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a user order processing method according to another embodiment of the present invention;
fig. 3 is a schematic structural diagram of a user order processing apparatus according to an embodiment of the present invention;
FIG. 4 is a schematic structural diagram of a processing module of a user order processing apparatus according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a server according to an embodiment of the present invention.
[ detailed description ] embodiments
For better understanding of the technical solutions of the present invention, the following detailed descriptions of the embodiments of the present invention are provided with reference to the accompanying drawings.
It should be understood that the described embodiments are only some embodiments of the invention, and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terminology used in the embodiments of the invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used in the examples of the present invention and the appended claims, the singular forms "a," "an," and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It should be understood that the term "and/or" as used herein is merely one type of associative relationship that describes an associated object, meaning that three types of relationships may exist, e.g., A and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship.
Fig. 1 is a flowchart of a user order processing method according to an embodiment of the present invention, as shown in fig. 1, the method includes:
step 101, address data of a user order is obtained.
Step 102, dividing address data of a user order into a plurality of levels of address fields.
Step 103, judging whether the address fields of the multiple levels comprise the address fields of the appointed level, if so, executing step 104; if not, go to step 105.
And 104, generating a first similarity according to the address field of the specified level and a second similarity according to the address field of the previous level of the specified level, and processing the user order according to the first similarity and the second similarity.
And 105, calculating a third similarity and a fourth similarity according to the address fields of the multiple levels, and processing the user order according to the third similarity and the fourth similarity.
The embodiment of the invention provides a technical scheme of a user order processing method, which comprises the steps of dividing address data of a user order into a plurality of levels of address fields by obtaining the address data of the user order, generating a first similarity according to the address fields of the specified levels and a second similarity according to the address fields of the previous level of the specified levels according to the result of judging whether the address fields of the plurality of levels comprise the address fields of the specified levels, and processing the user order according to the first similarity and the second similarity; or calculating a third similarity and a fourth similarity according to the address fields of the multiple levels, and processing the user order according to the third similarity and the fourth similarity, so that the retrieval efficiency of the address data is improved, the order placement by the user is facilitated, and the processing efficiency of the user order is improved.
Fig. 2 is a flowchart of a user order processing method according to another embodiment of the present invention, as shown in fig. 2, the method includes:
step 201, address data of a user order is obtained.
The steps of the embodiments of the present invention may be performed by a server.
Wherein, step 201 may specifically include:
step 2011, the user order is obtained.
In the embodiment of the invention, a user can fill a user order for the broadband installation service at a user client, wherein the user order comprises user identity information, a contact way and address data. Then, the user client sends the user order to the server.
Step 2012, extracting address data of the user order from the user order.
In the embodiment of the invention, the address data is included in the user order, so that the server can directly extract the address data from the user order after receiving the user order.
Step 202, address data of the user order is divided into a plurality of levels of address fields.
In the embodiment of the invention, the address data of the user order is divided into a plurality of levels of address fields, wherein the plurality of levels comprise a city, a district and county, a town street, a road/administrative village name, a district/natural village/village name/school name, a district, a building/number/building name, a unit number name, a floor name and a house name. In the embodiment of the present invention, according to the above levels, the user order address is divided into ten levels of address fields. Specifically, as shown in tables 1 and 2 below, table 1 is a standard address division table for residential districts, and table 2 is a standard address division table for dormitory buildings.
TABLE 1
Figure BDA0002118170300000091
TABLE 2
Figure BDA0002118170300000092
In the embodiment of the invention, the specific division mode is as follows: the city is a first-level address, the district and county is a second-level address, the town street is a third-level address, the name of the road/administrative village is a fourth-level address, the name of the district/natural village/town/school is a fifth-level address, the name of the parcel is a sixth-level address, the name of the building/number/building is a seventh-level address, the name of the unit number is an eight-level address, the name of the floor is a nine-level address, and the name of the house is a ten-level address. Wherein the address fields of the plurality of levels are fields included in addresses of the plurality of levels. For example, as shown in table 1 above, the first-level address field is eagle lake, the second-level address field is a lake region, the third-level address field is a white street, the fourth-level address field is Tianjie West road, the fifth-level address field is gorgeous, the sixth-level address field is empty, the seventh-level address field is 2 frames, the eighth-level address field is 1 unit, the ninth-level address field is 3 layers, and the tenth-level address field is 301 rooms.
Step 203, judging whether the address fields of the multiple levels comprise the address fields of the appointed level, if so, executing step 204; if not, go to step 211.
In the embodiment of the invention, the address field of the specified level is a five-level address field. For example, the address data of the user order includes 2 unit 2 layer 101 rooms on 3 st cell 2 on wayscraper, 3 st cell on sundew street in hawk lake region, and the fifth-level address field is wayscraper, and it can be determined that the address data of the user order includes the fifth-level address field: gorgeous scenes.
And step 204, inquiring whether the historical stock data comprises an address field of a specified level, if so, executing step 205, and if not, executing step 206.
In the embodiment of the invention, the historical stock data is address data of a user order which is historically and normally finished with broadband installation. For example, if the five-level address field in the address data of the user order is "magnificent view", it is queried from the history stock data whether or not the address field of "magnificent view" is included.
And step 205, sending the user order to an installer client.
In the embodiment of the present invention, for example, if the address field including "marchand" is queried from the historical stock data, it indicates that the "marchand" cell has a user order for normally completing the broadband service installation. Therefore, the obtained address data of the user order is the address data capable of installing the broadband service, the server sends the user order to the client of the installer, and the installer installs the broadband for the user at home according to the user order. In the embodiment of the invention, the installer client further comprises a maintenance agent client.
Step 206, generating a first similarity according to the address field of the designated level.
Wherein, step 206 may specifically include:
step 2061, obtain the address field of the appointed level, the address field of the appointed level includes the address character of the appointed level.
In the embodiment of the present invention, for example, as shown in table 1, if the address field of the designated level is "magnificent scene", the "magnificent scene" field includes 4 address characters "hua", "chang", "beautiful" and "scene".
Step 2062, calculating the number of characters in which the address character of the specified level is the same as the address character of the corresponding level in each historical stock data.
In the embodiment of the present invention, for example, if the "gorgeous view" is the address field at the specified level, then the "gorgeous", "chang", "beautiful" and "view" are the address characters at the specified level, that is, the five-level address characters, and then the number of characters of the "gorgeous", "chang", "beautiful" and "view" that are the same as each of the five-level address characters in the history stock data is calculated.
Step 2063, according to formula Ai=Xi/YiCalculating a first address similarity, X, corresponding to each historical inventory dataiFor the same number of characters as the address characters of the corresponding level in each historical stock data, YiThe number of address characters for the corresponding level in each historical inventory data.
In the embodiment of the present invention, for example, as shown in table 1, where "hua", "chang", "beautiful" and "jing" are address characters at the specified level, that is, five-level address characters, and a certain five-level address character is "hua", "tai", "country" and "international", and includes 4 characters, it is calculated that "hua", "chang", "beautiful", "jing" and "hua", "tai", "country" and "international" include 1 identical character, that is, a "hua" character, and therefore, X is 1, Y is 4, and the address similarity is 25%.
Step 2064, selecting the maximum address similarity from the first address similarities corresponding to the plurality of historical stock data as the first similarity.
In the embodiment of the present invention, the first address similarity corresponding to the plurality of historical stock data may be calculated through step 208, and the address similarity with the maximum similarity is selected as the first similarity. For example, when the first address similarity calculated to correspond to the plurality of historical stock data includes 0%, 25%, 50%, and 75%, 75% is selected as the first similarity.
Step 207, generating a second similarity according to the address field of the previous level of the specified level.
Wherein, step 207 may specifically include:
step 2071, obtain the address field of the previous level of the specified level, where the address field of the previous level of the specified level includes the address character of the previous level of the specified level.
In the embodiment of the present invention, for example, as shown in table 1, the "gorgeous view" is an address field at a specific level, and if the specific level address is a five-level address, the previous level of the five-level address is a four-level address. The address field of the name of the road/administrative village is required to be obtained, and if the four-level address field is "Tian Jie xi Lu" from table 1, the four-level address field "Tian Jie xi Lu" includes 4 address characters of "Tian", "Jie", "xi", and "Lu".
Step 2072, calculating the number of characters in which the address character of the upper level of the designated level is the same as the address character of the corresponding level in each historical stock data.
In the embodiment of the present invention, for example, if the address field at the previous level is "Tian Jie xi Lu", the address characters are "Tian", "Jie", "West" and "Lu", and if the address field at the fourth level corresponding to a certain history stock data obtained from the history stock data is "Wan Bao Xiu", the address characters are "Wan", "Bao", "West" and "Lu", and therefore, the same address characters of the two address fields are calculated as "West" and "Lu", and the number of the same characters is 2.
Step 2073, according to formula Bi=Mi/NiCalculating a second address similarity, M, corresponding to each of the historical stock dataiFor the same number of characters as the address characters of the corresponding level in each historical stock data, NiThe number of address characters for the corresponding level in each historical inventory data.
In the embodiment of the present invention, for example, as shown in table 1, the "day", "clean", "west", and "way" are address characters of the upper level of the designated level, that is, four-level address characters, and a certain four-level address character is "ten thousand", "bao", "west", and "way", and includes 4 characters, and it is calculated that the "day", "clean", "west", "way" and "ten thousand", "bao", "west", and "way" include 2 identical characters, that is, "west" and "way" characters, so that X is 2, Y is 4, and the address similarity is 50%.
Step 2074, select the maximum address similarity from the corresponding second address similarities of the plurality of historical stock data as the second similarity.
In the embodiment of the present invention, the second address similarity corresponding to the plurality of historical stock data may be calculated through step 212, and the address similarity with the maximum similarity is selected as the second similarity. For example, when the second address similarity degrees corresponding to the plurality of historical stock data are calculated to include 0%, 25%, 50%, and 75%, 75% is selected as the second similarity degree.
Step 208, determining whether the first similarity is greater than or equal to a first threshold, or is greater than or equal to a second threshold and smaller than the first threshold, or is smaller than the second threshold, and if the first similarity is greater than or equal to the first threshold, performing step 205; if the first similarity is greater than or equal to the second threshold and smaller than the first threshold, go to step 209; if the first similarity is smaller than the second threshold, step 210 is executed.
In the embodiment of the invention, for example, the first threshold value is set to 65% and the second threshold value is set to 35%. And when the first similarity is greater than or equal to 65%, the server sends the user order to the client of the installer, and the installer installs the broadband for the user according to the user order. And when the first similarity is less than 35%, the server stores the user order.
Step 209, determining whether the second similarity is greater than or equal to a third threshold, and if the second similarity is greater than or equal to the third threshold, executing step 205; if the second similarity is smaller than the third threshold, go to step 210.
In the embodiment of the present invention, the third threshold is set to be 50%. For example, when the first similarity is 50% and the second similarity is 60%, the server sends the user order to the installer client, and the installer installs the broadband for the user to enter the door according to the user order. And when the first similarity is 50% and the second similarity is 30%, the server stores the user order.
And step 210, storing the user order.
In the embodiment of the invention, the server stores the user order and feeds back the processing result of the user order, which cannot install the broadband service, to the user client because the address data of the user order does not meet the conditions for installing the broadband service.
Step 211, calculating a third similarity and a fourth similarity according to the address fields of the plurality of levels.
Wherein, step 211 may specifically include:
step 2111, extracting a set number of address characters from said plurality of levels of address fields.
In the embodiment of the present invention, for example, the user order address data is "eagle lake region, moon lake region, aigren street, and west road", where "eagle lake" is a first-level address field, "moon lake region" is a second-level address field, "aigren street" is a third-level address field, and "tianjiexie road" is a fourth-level address field, and 4 consecutive address characters are extracted from the address fields of multiple levels, for example, "eagle", "pool", "month", "lake", or "street", "day", "clean", and the like may be extracted.
Step 2112, inquiring whether the historical stock data comprises a continuous set number of address characters, if so, executing step 205; if not, go to step 219.
And step 2113, extracting a preset number of address characters with specified multiple from the address fields of multiple levels.
In this embodiment of the present invention, the consecutive address characters of the set number are the same as the address characters of the designated multiple, which are at most consecutive to the set number minus 1. For example, in the embodiment of the present invention, the designated multiple is 2.5 times, and the number of consecutive address characters of the set number is 4, so that the number of consecutive address characters of the designated multiple of the set number is 10. The user order address data is "eagle lake moon region white street heaven clean west road", so the extracted 10 characters are "eagle lake moon region white street heaven", and so on, and the extracted 4 address characters are the same as the extracted 10 address characters by at most 3 characters. Such as "street cleaning".
And step 2114, calculating the number of the address characters of the specified multiple, which are the same as the number of the address characters in each historical stock data.
Step 2115, according to formula A1i=X1i/Y1iCalculating a third address similarity to each historical inventory data, X1iFor the same number of characters as the address character in each historical stock data, Y1iThe number of address characters in each historical inventory data.
Step 2116, selecting the maximum address similarity from the third address similarities of the plurality of historical stock data as the third similarity.
Step 2117, calculating the number of the characters of which the continuous set number of address characters is the same as the number of the address characters in each historical stock data.
Step 2118, according to formula B1i=M1i/N1iCalculating a fourth address similarity to each historical inventory data, M1iFor the same number of characters as the address character in each historical inventory data, N1iThe number of address characters in each historical inventory data.
Step 2119, selecting the maximum address similarity from the fourth address similarities of the plurality of historical stock data as the fourth similarity.
Step 212, determining whether the third similarity is greater than or equal to a first threshold, or is greater than or equal to a second threshold and smaller than the first threshold, or is smaller than the second threshold, and if the third similarity is greater than or equal to the first threshold, performing step 205; if the third similarity is greater than or equal to the second threshold and smaller than the first threshold, go to step 213; if the third similarity is smaller than the second threshold, go to step 210.
Step 213, determining whether the fourth similarity is greater than or equal to a third threshold, if so, executing step 205; if not, go to step 210.
In this embodiment of the present invention, after the step 209 of determining that the second similarity is smaller than the third threshold and after the step 213 of determining that the fourth similarity is smaller than the third threshold, the method further includes sending address data of the user order to a construction requirement platform. And the construction demand platform constructs corresponding broadband service resource points according to the address data of the user order. For example, the fifth-level address field in the address data of a certain user order belongs to the case that the second similarity is smaller than the third threshold or the fourth similarity is smaller than the third threshold, that is, the fifth-level address field belongs to the region where the broadband service installation condition is temporarily not met. And the construction demand platform performs data acquisition and broadband service infrastructure on the area, and when the number of the order users in the area reaches a certain threshold value, the area is considered to meet the broadband service construction demand, and a corresponding broadband service resource point is constructed for the area in the following period.
The embodiment of the invention provides a technical scheme of a user order processing device, which comprises the steps of dividing address data of a user order into a plurality of levels of address fields by obtaining the address data of the user order, generating a first similarity according to the address fields of the specified levels and a second similarity according to the address fields of the previous level of the specified levels according to the result of judging whether the address fields of the plurality of levels comprise the address fields of the specified levels, and processing the user order according to the first similarity and the second similarity; or calculating a third similarity and a fourth similarity according to the address fields of the multiple levels, and processing the user order according to the third similarity and the fourth similarity, so that the retrieval efficiency of the address data is improved, the order placement by the user is facilitated, and the processing efficiency of the user order is improved.
Fig. 3 is a schematic structural diagram of a user order processing apparatus according to an embodiment of the present invention, as shown in fig. 3, the apparatus includes: the device comprises an acquisition module 11, a dividing module 12, a judgment module 13, a first generation module 14, a second generation module 15 and a processing module 16.
The obtaining module 11 is configured to obtain address data of a user order. The dividing module 12 is configured to divide the address data of the user order into a plurality of levels of address fields. The judging module 13 is configured to judge whether the address fields of the plurality of levels include an address field of a specific level. The first generating module 14 is configured to generate a first similarity according to the address field of the designated level and generate a second similarity according to the address field of the previous level of the designated level if it is determined that the address fields of the multiple levels include the address field of the designated level. The second generating module 15 is configured to calculate a third similarity and a fourth similarity according to the address fields of the multiple levels if the determining module 13 determines that the address fields of the multiple levels do not include the address field of the specified level. The processing module 16 is configured to process the user order according to the first similarity and the second similarity. And processing the user order according to the third similarity and the fourth similarity.
In the embodiment of the present invention, the apparatus further includes: a first query module 17.
The first query module 17 is configured to query whether the historical inventory data includes an address field at a specified level, and if the historical inventory data does not include the address field at the specified level, trigger the first generation module 14 to perform the steps of generating the first similarity according to the address field at the specified level and generating the second similarity according to the address field at the level higher than the specified level.
In the embodiment of the present invention, the processing module 16 specifically includes: a first judgment sub-module 161, a second judgment sub-module 162, and a transmission sub-module 163. As shown in fig. 4:
the first determining sub-module 161 is configured to determine whether the first similarity is greater than or equal to a first threshold, or is greater than or equal to a second threshold and smaller than the first threshold, or is smaller than the second threshold.
The second determining submodule 162 is configured to determine whether the second similarity is greater than or equal to a third threshold value if the first determining submodule 161 determines that the first similarity is greater than or equal to the second threshold value and smaller than the first threshold value.
The first sending submodule 163 is configured to send the user order to the installer client if the first judging submodule 161 judges that the first similarity is greater than or equal to the first threshold; if the second judgment sub-module 162 judges that the second similarity is greater than or equal to the third threshold, sending the user order to the installer client; if the second judgment sub-module 162 judges that the second similarity is smaller than the third threshold, the user order is saved; if the first judging sub-module 161 judges that the first similarity is smaller than the second threshold, the user order is saved.
In this embodiment of the present invention, the first generating module 14 specifically includes: a first calculation submodule 141 and a second calculation submodule 142.
A first computation submodule 141, configured to obtain an address field at a specified level, where the address field at the specified level includes address characters at the specified level; calculating the number of characters of the address characters of the specified level, which is the same as the number of characters of the address characters of the corresponding level in each historical stock data; according to formula Ai=Xi/YiCalculating a first address similarity, X, corresponding to each historical inventory dataiThe number of characters is the same as the number of address characters of the corresponding level in each historical stock data; y isiThe number of address characters of the corresponding level in each historical stock data; selecting the maximum address similarity from the corresponding first address similarities of the plurality of historical stock data as the first similarity;
a second calculation submodule 142, configured to obtain an address field of a level higher than the designated level; the address field of the previous level of the specified level comprises an address character of the previous level of the specified level; calculating the number of characters of the address character of the upper level of the specified level and the number of characters of the address character of the corresponding level in each historical stock data; according to formula Bi=Mi/NiCalculating a correspondence to each of the historical inventory dataSecond address similarity, MiFor the same number of characters as the address characters of the corresponding level in each historical stock data, NiThe number of address characters of the corresponding level in each historical stock data; and selecting the maximum address similarity from the corresponding second address similarities of the plurality of historical stock data as the second similarity.
In the embodiment of the present invention, the apparatus further includes: an extraction module 18 and a second query module 19.
An extracting module 18, configured to extract a set number of address characters from the address fields of the multiple levels;
the second query module 19 queries whether the historical stock data includes a continuous set number of address characters, and if the historical stock data does not include the continuous set number of address characters, triggers the second generation module 15 to execute the step of processing the user order according to the third similarity and the fourth similarity.
In this embodiment of the present invention, the processing module 16 further includes: an extraction submodule 164, a third decision module 165 and a fourth decision submodule 166. As shown in fig. 4:
an extraction sub-module 164 for extracting a specified multiple of a set number of consecutive address characters from the plurality of levels of address fields; the continuous set number of address characters is the same as the specified multiple of continuous set number of address characters minus 1 character at most;
a third determining submodule 165, configured to determine whether the third similarity is greater than or equal to the first threshold, or is greater than or equal to the second threshold and smaller than the first threshold, or is smaller than the second threshold;
a fourth determining submodule 166, configured to determine, by the third determining submodule 165, whether the third similarity is greater than or equal to the second threshold and smaller than the first threshold, whether the fourth similarity is greater than or equal to the third threshold;
the sending submodule 163 is further configured to send the user order to the installer client if the third similarity determined by the third determining submodule 165 is greater than or equal to the first threshold; if the fourth judgment submodule 166 judges that the fourth similarity is greater than or equal to the third threshold, the user order is sent to the installer client; if the fourth judging submodule 166 judges that the four similarities are smaller than the third threshold, the user order is saved; if the third determining sub-module 165 determines that the third similarity is smaller than the second threshold, the user order is saved.
In this embodiment of the present invention, the second generating module 15 specifically includes: a third computation submodule 151 and a fourth computation submodule 152.
A third calculation submodule 151 configured to calculate the number of characters in which the address characters of the specified multiple are the same as the address characters in each historical stock data; according to formula A1i=X1i/Y1iCalculating a third address similarity to each historical inventory data, X1iThe number of characters is the same as the number of address characters in each historical stock data; y1iThe number of address characters in each historical stock data; selecting the maximum address similarity from the third address similarities of the plurality of historical stock data as the third similarity;
a fourth calculation submodule 152 configured to calculate the number of the consecutive address characters of the set number, which is the same as the number of the address characters in each of the historical stock data; according to formula B1i=M1i/N1iCalculating a fourth address similarity to each historical inventory data, M1iThe number of characters is the same as the number of address characters in each historical stock data; n1iThe number of address characters in each historical stock data; and selecting the maximum address similarity from the fourth address similarities of the plurality of historical stock data as the fourth similarity.
In the technical scheme of the user order processing device provided by the embodiment of the invention, the address data of a user order is divided into a plurality of levels of address fields by obtaining the address data of the user order, a first similarity is generated according to the address fields of the specified level and a second similarity is generated according to the address fields of the previous level of the specified level according to the result of judging whether the address fields of the plurality of levels comprise the address fields of the specified level, and the user order is processed according to the first similarity and the second similarity; or calculating a third similarity and a fourth similarity according to the address fields of the multiple levels, and processing the user order according to the third similarity and the fourth similarity, so that the retrieval efficiency of the address data is improved, the order placement by the user is facilitated, and the processing efficiency of the user order is improved.
An embodiment of the present invention provides a storage medium, where the storage medium includes a stored program, where each step of the embodiment of the user order processing method is executed by controlling a device where the storage medium is located when the program runs, and an embodiment of the user order processing method that can be applied to a case is specifically described.
An embodiment of the present invention provides a server, including a memory and a processor, where the memory is used to store information including program instructions, and the processor is used to control execution of the program instructions, and the program instructions are loaded and executed by the processor to implement the steps of the user order processing method. Embodiments of the user order processing method described above are described in detail.
Fig. 4 is a schematic diagram of a server according to an embodiment of the present invention. As shown in fig. 4, the server 1 of this embodiment includes: the processor 21, the memory 22, and the computer program 23 stored in the memory 22 and capable of running on the processor 21, where the computer program 23 when executed by the processor 21 implements the method applied to the user order processing in the embodiment, and in order to avoid repetition, the details are not repeated herein. Alternatively, the computer program is executed by the processor 21 to implement the functions of the models/units applied to the user order processing apparatus in the embodiment, which are not described herein again to avoid redundancy.
The server 1 includes, but is not limited to, a processor 21, a memory 22. Those skilled in the art will appreciate that fig. 4 is merely an example of the server 1 and does not constitute a limitation of the server 1 and may include more or less components than those shown, or combine certain components, or different components, e.g., the server 1 may also include input output devices, network access devices, buses, etc.
The Processor 21 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 22 may be an internal storage unit of the server 1, such as a hard disk or a memory of the server 1. The memory 22 may also be an external storage device of the server 1, such as a plug-in hard disk provided on the server 1, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the memory 22 may also include both an internal storage unit of the server 1 and an external storage device. The memory 22 is used for storing computer programs and other programs and data required by the server 1. The memory 22 may also be used to temporarily store data that has been output or is to be output.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described systems, apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the embodiments provided in the present invention, it should be understood that the disclosed system, apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the units is only one logical division, and there may be other divisions in actual implementation, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional unit.
The integrated unit implemented in the form of a software functional unit may be stored in a computer readable storage medium. The software functional unit is stored in a storage medium and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device) or a Processor (Processor) to execute some steps of the methods according to the embodiments of the present invention. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (10)

1. A method for processing a user order, the method comprising:
acquiring address data of a user order;
dividing address data of a user order into a plurality of levels of address fields;
judging whether the address fields of the multiple levels comprise address fields of a specified level or not;
if the address fields of the multiple levels comprise the address fields of the appointed level, generating a first similarity according to the address fields of the appointed level and generating a second similarity according to the address fields of the last level of the appointed level, and processing the user order according to the first similarity and the second similarity;
and if the address fields of the multiple levels do not comprise the address fields of the appointed level, calculating a third similarity and a fourth similarity according to the address fields of the multiple levels, and processing the user order according to the third similarity and the fourth similarity.
2. The method of processing a user order according to claim 1, wherein generating the first similarity according to the address field of the designated level and generating the second similarity according to the address field of the previous level of the designated level further comprises:
inquiring whether the historical stock data comprises an address field of a specified level;
and if the historical stock data does not comprise the address field of the specified level, executing the steps of generating the first similarity according to the address field of the specified level and generating the second similarity according to the address field of the previous level of the specified level.
3. The user order processing method according to claim 1, wherein said processing the user order according to the first similarity and the second similarity comprises:
judging whether the first similarity is greater than or equal to a first threshold or greater than or equal to a second threshold and smaller than the first threshold or smaller than the second threshold;
if the first similarity is judged to be larger than or equal to a first threshold value, the user order is sent to an installer client;
if the first similarity is judged to be greater than or equal to a second threshold and smaller than the first threshold, judging whether the second similarity is greater than or equal to a third threshold;
if the second similarity is judged to be larger than or equal to a third threshold value, the user order is sent to an installer client;
if the second similarity is smaller than a third threshold value, the user order is saved;
and if the first similarity is smaller than a second threshold value, saving the user order.
4. The user order processing method according to claim 1, wherein said generating a first similarity according to the address field of the specified level comprises:
acquiring an address field of a specified level, wherein the address field of the specified level comprises address characters of the specified level;
calculating the number of characters of the address characters of the specified level, which is the same as the number of characters of the address characters of the corresponding level in each historical stock data;
according to formula Ai=Xi/YiCalculating a first address similarity, X, corresponding to each historical inventory dataiFor the same number of characters as the address characters of the corresponding level in each historical stock data, YiThe number of address characters of the corresponding level in each historical stock data;
selecting the maximum address similarity from the corresponding first address similarities of the plurality of historical stock data as the first similarity;
the generating of the second similarity according to the address field of the previous level of the specified level includes:
acquiring an address field of an upper level of a specified level; the address field of the previous level of the specified level comprises an address character of the previous level of the specified level;
calculating the number of characters of the address character of the upper level of the specified level and the number of characters of the address character of the corresponding level in each historical stock data;
according to formula Bi=Mi/NiCalculating a second address similarity, M, corresponding to each of the historical stock dataiFor the same number of characters as the address characters of the corresponding level in each historical stock data, NiThe number of address characters of the corresponding level in each historical stock data;
and selecting the maximum address similarity from the corresponding second address similarities of the plurality of historical stock data as the second similarity.
5. The method of processing a user order according to claim 1, wherein calculating a third similarity and a fourth similarity according to the address fields of the plurality of levels further comprises:
extracting a set number of address characters from the address fields of the plurality of levels;
inquiring whether the historical stock data comprises a continuous set number of address characters;
and if the historical stock data does not comprise the continuous set number of address characters, executing the step of processing the user order according to the third similarity and the fourth similarity.
6. The user order processing method according to claim 1 or 5, wherein said processing the user order according to the third similarity and the fourth similarity comprises:
extracting a specified multiple of a set number of consecutive address characters from the plurality of levels of address fields; the continuous set number of address characters is the same as the specified multiple of continuous set number of address characters minus 1 character at most;
generating a third similarity according to the continuous set number of address characters of the specified multiple;
generating a fourth similarity according to the continuous set number of address characters;
judging whether the third similarity is greater than or equal to a first threshold value or is greater than or equal to a second threshold value and smaller than the first threshold value or is smaller than the second threshold value;
if the third similarity is judged to be larger than or equal to a first threshold value, the user order is sent to an installer client;
if the third similarity is judged to be greater than or equal to the second threshold and smaller than the first threshold, judging whether the fourth similarity is greater than or equal to the third threshold;
if the fourth similarity is judged to be larger than or equal to a third threshold value, the user order is sent to an installer client;
if the four similarity degrees are judged to be smaller than a third threshold value, the user order is saved;
and if the third similarity is smaller than a second threshold value, storing the user order.
7. The method of claim 6, wherein generating a third similarity from a specified multiple of a consecutive set number of address characters comprises:
calculating the number of the characters of which the address characters are the same as the address characters in each historical stock data in the specified multiple and the number of the address characters in the specified multiple;
according to formula A1i=X1i/Y1iCalculating a third address similarity to each historical inventory data, X1iFor the same number of characters as the address character in each historical stock data, Y1iThe number of address characters in each historical stock data;
selecting the maximum address similarity from the third address similarities of the plurality of historical stock data as the third similarity;
the generating a fourth similarity according to the continuous set number of address characters includes:
calculating the number of the continuous address characters with the set number and the number of the characters with the same address characters in each historical stock data;
according to formula B1i=M1i/N1iCalculating a fourth address similarity to each historical inventory data, M1iFor the same number of characters as the address character in each historical inventory data, N1iThe number of address characters in each historical stock data;
and selecting the maximum address similarity from the fourth address similarities of the plurality of historical stock data as the fourth similarity.
8. A user order processing apparatus, comprising:
the acquisition module is used for acquiring address data of a user order;
the dividing module is used for dividing the address data of the user order into a plurality of levels of address fields;
the judging module is used for judging whether the address fields of the multiple levels comprise the address fields of the appointed level or not;
the first generating module is used for generating a first similarity according to the address field of the specified level and generating a second similarity according to the address field of the previous level of the specified level if the judging module judges that the address fields of the multiple levels comprise the address field of the specified level;
the second generating module is used for calculating a third similarity and a fourth similarity according to the address fields of the multiple levels if the judging module judges that the address fields of the multiple levels do not comprise the address fields of the appointed level;
and the processing module is used for processing the user order according to the first similarity and the second similarity and processing the user order according to the third similarity and the fourth similarity.
9. A storage medium, characterized in that the storage medium comprises a stored program, wherein when the program runs, a device where the storage medium is located is controlled to execute the user order processing method according to any one of claims 1 to 7.
10. A server comprising a memory for storing information including program instructions and a processor for controlling the execution of the program instructions, characterized in that the program instructions are loaded and executed by the processor to implement the steps of the user order processing method of any of claims 1 to 7.
CN201910597793.2A 2019-07-04 2019-07-04 User order processing method and device, storage medium and server Pending CN112184350A (en)

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