CN112837094A - Region-based service matching method, server device and computer readable medium - Google Patents

Region-based service matching method, server device and computer readable medium Download PDF

Info

Publication number
CN112837094A
CN112837094A CN202110137772.XA CN202110137772A CN112837094A CN 112837094 A CN112837094 A CN 112837094A CN 202110137772 A CN202110137772 A CN 202110137772A CN 112837094 A CN112837094 A CN 112837094A
Authority
CN
China
Prior art keywords
service
information
area
demand information
determining
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202110137772.XA
Other languages
Chinese (zh)
Inventor
殷佳佳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Changsha Daojia Youxiang Home Economics Service Co ltd
Original Assignee
Changsha Daojia Youxiang Home Economics Service Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Changsha Daojia Youxiang Home Economics Service Co ltd filed Critical Changsha Daojia Youxiang Home Economics Service Co ltd
Priority to CN202110137772.XA priority Critical patent/CN112837094A/en
Publication of CN112837094A publication Critical patent/CN112837094A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90—Details of database functions independent of the retrieved data types
    • G06F16/95—Retrieval from the web
    • G06F16/951—Indexing; Web crawling techniques
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N20/00—Machine learning
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0611—Request for offers or quotes
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10—Services

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Theoretical Computer Science (AREA)
  • Strategic Management (AREA)
  • Physics & Mathematics (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • General Physics & Mathematics (AREA)
  • Development Economics (AREA)
  • General Business, Economics & Management (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Data Mining & Analysis (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Software Systems (AREA)
  • Tourism & Hospitality (AREA)
  • Databases & Information Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Primary Health Care (AREA)
  • Medical Informatics (AREA)
  • Computing Systems (AREA)
  • Evolutionary Computation (AREA)
  • Mathematical Physics (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Human Resources & Organizations (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Game Theory and Decision Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application discloses a service matching method based on a region, server-side equipment and a computer readable medium, wherein the method comprises the following steps: acquiring service demand information of a target user in a first area, wherein the service demand information comprises at least one of the following information: service address, demand category, service price information; determining a corresponding target area according to the service demand information; determining a potential service party corresponding to the service demand information based on the target area; sending the service demand information to the potential service party; and determining whether to establish a matching relationship between the first area and the potential service party based on the feedback information of the potential service party aiming at the service demand information so as to improve the recruitment efficiency of the recruitment service party.

Description

Region-based service matching method, server device and computer readable medium
Technical Field
The present application relates to the field of home services, and in particular, to a service matching method based on a region, a server device, and a computer readable medium.
Background
In the prior art, when a service party is allocated to an area not matched with a corresponding service party, the service party is recruited for a user in the area not matched with the corresponding service party based on a billboard or an offline visiting manner, and the method wastes much recruitment time and has low recruitment efficiency.
Disclosure of Invention
The embodiment of the application provides an implementation scheme different from that in the prior art so as to be suitable for a household service scene.
Specifically, in an embodiment of the present application, a method for matching services based on a region is provided, including: acquiring service demand information of a target user in a first area, wherein the service demand information comprises at least one of the following information: service address, demand category, service price information; determining a corresponding target area according to the service demand information; determining a potential service party corresponding to the service demand information based on the target area; sending the service demand information to the potential service party; and determining whether to establish a matching relationship between the first area and the potential service party based on the feedback information of the potential service party aiming at the service demand information.
In another embodiment of the present application, a server device is provided, including: a memory and a processor; wherein the memory is used for storing programs; the processor, coupled with the memory, to execute the program stored in the memory to: acquiring service demand information of a target user in a first area, wherein the service demand information comprises at least one of the following information: service address, demand category, service price information; determining a corresponding target area according to the service demand information; determining a potential service party corresponding to the service demand information based on the target area; sending the service demand information to the potential service party; and determining whether to establish a matching relationship between the first area and the potential service party based on the feedback information of the potential service party aiming at the service demand information.
In another embodiment of the present application, there is provided a computer readable medium having stored thereon at least one instruction, at least one program, set of codes, or set of instructions, which is loaded and executed by a processor to implement the aforementioned region-based service matching method.
Embodiments of the present application provide a new solution different from the prior art, by acquiring service requirement information of a target user in a first area, where the service requirement information includes at least one of the following information: service address, demand category, service price information; determining a corresponding target area according to the service demand information; determining a potential service party corresponding to the service demand information based on the target area; sending the service demand information to the potential service party; and determining whether to establish a matching relationship between the first area and the potential service party based on the feedback information of the potential service party on the service demand information, so that the technical effect of improving the recruitment efficiency of the recruitment service party is realized.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative efforts. In the drawings:
fig. 1 is a schematic flowchart of a method for matching services based on a region according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a region-based service matching apparatus according to an embodiment of the present application;
fig. 3 is a schematic structural diagram of a server device according to another embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but 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 application.
The terminology used in the embodiments of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise, and "the" plural "generally includes at least two, but does not preclude the inclusion of at least one. It should be understood that the descriptions of "first," second, "etc. herein are used for distinguishing between different elements, devices, etc., and are not intended to indicate a sequential order, nor is it intended to be construed as limiting the types of" first "and" second. The words "if", as used herein, may be interpreted as "at … …" or "at … …" or "in response to a determination" or "in response to a monitoring", depending on the context. Similarly, the phrase "if it is determined" or "if it is monitored (a stated condition or event)" may be interpreted as "when determining" or "in response to determining" or "when monitoring (a stated condition or event)" or "in response to monitoring (a stated condition or event)", depending on the context.
It is also noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a good or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such good or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a commodity or system that includes the element.
The technical solutions provided by the embodiments of the present application will be described in detail below with reference to the accompanying drawings.
Fig. 1 is a service matching method based on a region according to an exemplary embodiment of the present application, where the method may specifically include the following steps:
101. acquiring service demand information of a target user in a first area, wherein the service demand information comprises at least one of the following information: service address, demand category, service price information;
102. determining a corresponding target area according to the service demand information;
103. determining a potential service party corresponding to the service demand information based on the target area;
104. sending the service demand information to the potential service party;
105. and determining whether to establish a matching relationship between the first area and the potential service party based on the feedback information of the potential service party aiming at the service demand information.
The first area may be an area with less matched or unmatched service capability, where the service capability is related to the number of service providers and service categories that the service providers can service, if the first area does not match the service capability, the service provider may not receive orders related to users in the first area, and if the service capability matches less, the service provider may receive demand orders related to users in the first area, or the service provider may service the users with less service categories.
For the determination manner of the first area, the method further includes the following steps:
s1, acquiring a plurality of sub-region information corresponding to the preset region;
s2, determining service heat degree information corresponding to each sub-region information in the plurality of sub-region information;
s3, determining the first region by using the service heat degree information corresponding to each of the plurality of sub-region information. Wherein the first region is one of the plurality of sub-regions.
Specifically, in order to make the service party perform targeted service when serving the user, or facilitate management of the user information and the service party information, the present application may divide the preset area into a plurality of sub-areas, the matched service capabilities of different sub-areas may be different, and the service popularity information in the foregoing S2 is positively correlated with the number of the service parties and the number of the service categories. The larger the service heat corresponding to the sub-region service heat information is, the more the number of matched service parties of the sub-region is, and the more the number of service classes which can be served by the user is. The sub-region information may be identification information corresponding to the sub-region, or address range information corresponding to the sub-region.
As for the aforementioned S3, the first area may be an area with the lowest service heat degree corresponding to the corresponding service heat degree information among the plurality of sub-area information. The server matched in the first area may be 0, and may not be 0, which is not limited in this application.
In some optional embodiments of the present application, in the foregoing step 101, acquiring the service requirement information of the target user in the first area includes:
acquiring service request information of a target user in a first area;
and analyzing the service request information to obtain service demand information.
The target users may be all users in the first area, or may be a first preset number of partial users in the first area. According to the scheme, the service demand information can be obtained through analysis according to the analysis of the service request information.
In other optional embodiments of the present application, the acquiring the service requirement information of the target user in the first area includes:
acquiring historical order information corresponding to the target user in a first area;
and analyzing the historical order information to obtain the service demand information.
The historical order information corresponding to the target user in the first area may be order information of other non-domestic services related to the target user corresponding to the first area within a preset time period, for example, order information of online shopping.
Specifically, analyzing the historical order information to obtain the service demand information includes:
taking the historical order information as a parameter of a locally stored preset model, and executing the preset model to obtain the service demand information; wherein the preset model is a machine learning model trained by training samples.
Furthermore, according to the scheme of the application, the off-site public information, such as forum information, chat information and the like, of the target user in the first area can be obtained through a web crawler technology, and the service requirement information is obtained through the off-site public information. Further, potential service parties with addresses possibly in the non-service area can be selected through system prediction, and recruitment short messages or recruitment notifications are sent to the potential service parties, so that the potential service parties can conveniently and quickly enter the first area (namely, the matching relation between the potential service parties and the first area is established), and the vacancy of the service power of the first area is filled.
Further, the method further comprises:
acquiring at least one second area corresponding to the first area;
determining a corresponding target area according to the service demand information includes:
determining the target area according to the service demand information and the at least one second area.
Specifically, determining the target area according to the service requirement information and the at least one second area includes:
acquiring service characteristic information corresponding to a service party to be analyzed in each second area in the at least one second area;
and determining the target area according to the service demand information and the service characteristic information corresponding to the service party to be analyzed in each second area. Wherein the service characteristic information includes at least one of the following information: destination address, class of service, and commuter tool.
The second region may be a region adjacent to the first region, or may include the first region itself, and the two second regions may have a covering and covering relationship.
Further, determining the target area according to the service demand information and the service characteristic information corresponding to the service party to be analyzed in each second area includes:
and selecting a corresponding target area with the highest matching index from the at least one second area by using the service demand information and the service characteristic information corresponding to the service party to be analyzed in each second area.
The service party to be analyzed may be all service parties in the second area, or a second preset number of partial service parties. In the second area, the higher the matching degree of the corresponding service characteristic information and the service requirement information is, the higher the matching index corresponding to the service party to be analyzed is; the matching index corresponding to each second region is: the total of the matching indexes corresponding to each service party to be analyzed in a plurality of service parties to be analyzed.
Further, for each service party to be analyzed, the target address in the service characteristic information corresponding to the service party to be analyzed may be the home address of the service party or the address of the home store corresponding to the service party to be analyzed; the service class is a technical class which can provide services for the service party to be analyzed, such as: dust removal, mite removal, nurse, monthly search and the like.
In some optional embodiments, for the service to be analyzed, the matching degree between the service requirement information and the service characteristic information of the service to be analyzed may be determined by a sub-matching degree between various information in the service requirement information and at least one information (which needs to correspond to at least one information in the service requirement information) in the service characteristic information of the service to be analyzed, for example: the closer the demand category in the service demand information is to the service category in the service characteristic information, the greater the sub-matching degree of the demand category and the service category is; the closer the service address in the service demand information is to the target address in the service characteristic information, the greater the sub-matching degree between the service address and the target address is; and when the service tool in the service characteristic information is the autonomous driving tool, the sub-matching degree of the service price information and the commuting tool is less than or equal to the preset price. Because, if the distance is far away, but the service price is high, the service party has stronger intention to serve the corresponding user, and the commute time can be ensured through autonomous driving, thereby improving the user experience. The total of the sub-matching degrees of the plurality of information in the service demand information and the plurality of information in the service characteristic information of the service party to be analyzed (which need to be in one-to-one correspondence with the plurality of information in the service demand information) can constitute the matching degree of the service demand information and the service characteristic information of the service party to be analyzed. And the information in the service requirement information corresponds to the information in the service characteristic information and the sub-matching degree one by one.
The required product category in the service requirement information and the service product category in the service characteristic information may be determined according to a configuration instruction of a relevant person. For example, the proximity degree of the dust removal requirement class in the configurable service requirement information and the mite removal service class in the service characteristic information is greater than the proximity degree of the dust removal requirement class in the configurable service requirement information and the month-to-law service class in the service characteristic information.
Further, the potential service party in step 104 may be a plurality of service parties in the target area, where the matching degree between the corresponding service characteristic information and the service requirement information is the highest, and when the feedback information of the potential service party for the service requirement information is serviceable or agrees to match, a matching relationship between the first area and the potential service party is established; after the matching relationship between the first area and the potential service party is established, the potential service party can directly receive the order sent by the user corresponding to the first area.
Embodiments of the present application provide a new solution different from the prior art, by acquiring service requirement information of a target user in a first area, where the service requirement information includes at least one of the following information: service address, demand category, service price information; determining a corresponding target area according to the service demand information; determining a potential service party corresponding to the service demand information based on the target area; sending the service demand information to the potential service party; and determining whether to establish a matching relationship between the first area and the potential service party based on the feedback information of the potential service party on the service demand information, so that the technical effect of improving the recruitment efficiency of the recruitment service party is realized.
Fig. 2 is a schematic structural diagram of a data processing apparatus according to an exemplary embodiment of the present application;
wherein, the device includes: an acquisition module 21, a first determination module 22, a second determination module 23, a sending module 24 and a third determination module 25; wherein:
an obtaining module 21, configured to obtain service requirement information of a target user in a first area, where the service requirement information includes at least one of the following information: service address, demand category, service price information;
a first determining module 22, configured to determine a corresponding target area according to the service demand information;
a second determining module 23, configured to determine, based on the target area, a potential service party corresponding to the service demand information;
a sending module 24, configured to send the service requirement information to the potential service provider;
a third determining module 25, configured to determine whether to establish a matching relationship between the first area and the potential service provider based on the feedback information of the potential service provider regarding the service demand information.
Optionally, the apparatus is further configured to:
acquiring a plurality of sub-region information corresponding to a preset region;
determining service heat degree information corresponding to each sub-region information in the plurality of sub-region information;
and determining the first region by using the service heat degree information corresponding to each sub-region information in the plurality of sub-region information.
Optionally, the apparatus is further configured to:
acquiring at least one second area corresponding to the first area;
determining a corresponding target area according to the service demand information includes:
determining the target area according to the service demand information and the at least one second area.
Specifically, when the apparatus is configured to determine the target area according to the service requirement information and the at least one second area, the apparatus is specifically configured to:
acquiring service characteristic information corresponding to a service party to be analyzed in each second area in the at least one second area;
and determining the target area according to the service demand information and the service characteristic information corresponding to the service party to be analyzed in each second area.
Optionally, the service feature information includes at least one of the following information: destination address, class of service, and commuter tool.
Optionally, the obtaining module 21, when configured to obtain the service requirement information of the target user in the first area, is specifically configured to:
acquiring service request information of a target user in a first area;
and analyzing the service request information to obtain service demand information.
Optionally, when the obtaining module 21 is configured to obtain the service requirement information of the target user in the first area, the obtaining module may further specifically be configured to:
acquiring historical order information corresponding to the target user in a first area;
and analyzing the historical order information to obtain the service demand information.
The obtaining module 21 is specifically configured to, when being configured to analyze the historical order information to obtain the service demand information:
taking the historical order information as a parameter of a locally stored preset model, and executing the preset model to obtain the service demand information;
wherein the preset model is a machine learning model trained by training samples.
For the related implementation of the components related to the embodiment of the present apparatus, reference may be made to the foregoing description, and details are not described herein.
Fig. 3 is a schematic structural diagram of a server device according to an exemplary embodiment of the present application, including: a memory 31 and a processor 32; wherein the content of the first and second substances,
the memory 31 is used for storing programs;
the processor 32, coupled with the memory, is configured to execute the program stored in the memory 51 to:
acquiring service demand information of a target user in a first area, wherein the service demand information comprises at least one of the following information: service address, demand category, service price information;
determining a corresponding target area according to the service demand information;
determining a potential service party corresponding to the service demand information based on the target area;
sending the service demand information to the potential service party;
and determining whether to establish a matching relationship between the first area and the potential service party based on the feedback information of the potential service party aiming at the service demand information.
In physical implementation, the server device may be any device capable of providing computing service, responding to a service request, and performing processing; for example, the server device may be a conventional server, a cloud host, a virtual center, and the like. The server device mainly comprises a processor, a hard disk, a memory, a system bus and the like, and is similar to a general computer architecture.
The memory 31 may be configured to store other various data to support operations on the server device. Examples of such data include instructions for any application or method operating on the server device. The memory 31 may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks. The processor 32 may also implement other functions besides the above functions when executing the program in the memory 31, which may be specifically referred to the description of the foregoing embodiments.
Further, as shown in fig. 3, the server device further includes: a display 33, a power supply component 34, a communication component 35, etc. Only some components are schematically shown in fig. 3, and the server device is not meant to include the components shown in fig. 3.
For the specific implementation corresponding to this embodiment, reference may be made to the foregoing description, and details are not described herein again.
Accordingly, embodiments of the present application also provide a computer-readable medium having at least one instruction, at least one program, a set of codes, or a set of instructions stored thereon, which is loaded and executed by a processor to implement the aforementioned region-based service matching method.
The above-described embodiments of the apparatus are merely illustrative, and 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 modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment. One of ordinary skill in the art can understand and implement it without inventive effort.
Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware. With this understanding in mind, the above-described technical solutions may be embodied in the form of a software product, which can be stored in a computer-readable storage medium such as ROM/RAM, magnetic disk, optical disk, etc., and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the methods described in the embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solutions of the present application, and not to limit the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions in the embodiments of the present application.

Claims (10)

1. A method for matching services based on regions, comprising:
acquiring service demand information of a target user in a first area, wherein the service demand information comprises at least one of the following information: service address, demand category, service price information;
determining a corresponding target area according to the service demand information;
determining a potential service party corresponding to the service demand information based on the target area;
sending the service demand information to the potential service party;
and determining whether to establish a matching relationship between the first area and the potential service party based on the feedback information of the potential service party aiming at the service demand information.
2. The method of claim 1, further comprising:
acquiring a plurality of sub-region information corresponding to a preset region;
determining service heat degree information corresponding to each sub-region information in the plurality of sub-region information;
and determining the first region by using the service heat degree information corresponding to each sub-region information in the plurality of sub-region information.
3. The method of claim 1, further comprising:
acquiring at least one second area corresponding to the first area;
determining a corresponding target area according to the service demand information includes:
determining the target area according to the service demand information and the at least one second area.
4. The method of claim 3, wherein determining the target area according to the service requirement information and the at least one second area comprises:
acquiring service characteristic information corresponding to a service party to be analyzed in each second area in the at least one second area;
and determining the target area according to the service demand information and the service characteristic information corresponding to the service party to be analyzed in each second area.
5. The method of claim 4, wherein the service feature information comprises at least one of the following information: destination address, class of service, and commuter tool.
6. The method of claim 1, wherein obtaining service requirement information of target users in the first area comprises:
acquiring service request information of a target user in a first area;
and analyzing the service request information to obtain service demand information.
7. The method of claim 1, wherein obtaining service requirement information of target users in the first area comprises:
acquiring historical order information corresponding to the target user in a first area;
and analyzing the historical order information to obtain the service demand information.
8. The method of claim 7, wherein analyzing the historical order information to obtain the service demand information comprises:
taking the historical order information as a parameter of a locally stored preset model, and executing the preset model to obtain the service demand information;
wherein the preset model is a machine learning model trained by training samples.
9. A server-side device, comprising: a memory and a processor; wherein the content of the first and second substances,
the memory is used for storing programs;
the processor, coupled with the memory, to execute the program stored in the memory to:
acquiring service demand information of a target user in a first area, wherein the service demand information comprises at least one of the following information: service address, demand category, service price information;
determining a corresponding target area according to the service demand information;
determining a potential service party corresponding to the service demand information based on the target area;
sending the service demand information to the potential service party;
and determining whether to establish a matching relationship between the first area and the potential service party based on the feedback information of the potential service party aiming at the service demand information.
10. A computer readable medium having stored thereon at least one instruction, at least one program, a set of codes, or a set of instructions, which is loaded and executed by a processor to implement the region-based service matching method according to any of claims 1 to 9.
CN202110137772.XA 2021-02-01 2021-02-01 Region-based service matching method, server device and computer readable medium Pending CN112837094A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202110137772.XA CN112837094A (en) 2021-02-01 2021-02-01 Region-based service matching method, server device and computer readable medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202110137772.XA CN112837094A (en) 2021-02-01 2021-02-01 Region-based service matching method, server device and computer readable medium

Publications (1)

Publication Number Publication Date
CN112837094A true CN112837094A (en) 2021-05-25

Family

ID=75931272

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202110137772.XA Pending CN112837094A (en) 2021-02-01 2021-02-01 Region-based service matching method, server device and computer readable medium

Country Status (1)

Country Link
CN (1) CN112837094A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113837613A (en) * 2021-09-26 2021-12-24 河北冀联人力资源服务集团有限公司 Task matching method, system, electronic equipment and readable storage medium
CN115293790A (en) * 2022-09-30 2022-11-04 中信建投证券股份有限公司 User loss prediction method and device

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107844930A (en) * 2017-06-26 2018-03-27 北京小度信息科技有限公司 Order allocation method and device
CN109102135A (en) * 2017-06-21 2018-12-28 北京嘀嘀无限科技发展有限公司 Order allocation method and device
CN109636121A (en) * 2018-11-16 2019-04-16 拉扎斯网络科技（上海）有限公司 Dispense Transport capacity dispatching method, order allocation method and device, electronic equipment
CN109685309A (en) * 2018-11-15 2019-04-26 拉扎斯网络科技（上海）有限公司 Order allocation method, device, electronic equipment and storage medium
CN110678885A (en) * 2017-07-20 2020-01-10 北京嘀嘀无限科技发展有限公司 System and method for capacity scheduling
CN111861175A (en) * 2020-07-09 2020-10-30 北京嘀嘀无限科技发展有限公司 Supply and demand state determination method, device, server and storage medium
CN112036738A (en) * 2020-08-28 2020-12-04 中国建设银行股份有限公司 Service order distribution method and device, electronic equipment and storage medium

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109102135A (en) * 2017-06-21 2018-12-28 北京嘀嘀无限科技发展有限公司 Order allocation method and device
CN107844930A (en) * 2017-06-26 2018-03-27 北京小度信息科技有限公司 Order allocation method and device
CN110678885A (en) * 2017-07-20 2020-01-10 北京嘀嘀无限科技发展有限公司 System and method for capacity scheduling
CN109685309A (en) * 2018-11-15 2019-04-26 拉扎斯网络科技（上海）有限公司 Order allocation method, device, electronic equipment and storage medium
CN109636121A (en) * 2018-11-16 2019-04-16 拉扎斯网络科技（上海）有限公司 Dispense Transport capacity dispatching method, order allocation method and device, electronic equipment
CN111861175A (en) * 2020-07-09 2020-10-30 北京嘀嘀无限科技发展有限公司 Supply and demand state determination method, device, server and storage medium
CN112036738A (en) * 2020-08-28 2020-12-04 中国建设银行股份有限公司 Service order distribution method and device, electronic equipment and storage medium

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113837613A (en) * 2021-09-26 2021-12-24 河北冀联人力资源服务集团有限公司 Task matching method, system, electronic equipment and readable storage medium
CN115293790A (en) * 2022-09-30 2022-11-04 中信建投证券股份有限公司 User loss prediction method and device

Similar Documents

Publication Publication Date Title
CN110688598B (en) Service parameter acquisition method and device, computer equipment and storage medium
CN112837094A (en) Region-based service matching method, server device and computer readable medium
CN108369709A (en) Network-based ad data service delay reduces
US20200151656A1 (en) Information operation
CN104243598A (en) Information recommendation method and device
CN109408561A (en) Business Name matching process and device
CN112749863A (en) Keyword price adjusting method and device and electronic equipment
CN112367345A (en) Data processing method, server device and computer readable storage medium
CN110990244B (en) Target equipment identification determining method and device, electronic equipment and readable storage medium
CN113609401A (en) Dynamic display method of book city channel page, electronic equipment and storage medium
CN111382183A (en) Data query method and device
CN113487328A (en) Service identity switching method and device
CN112801584A (en) Grouping-based order distribution method, server-side equipment and computer readable medium
CN114520830A (en) Message pushing method, device and system
CN112685115A (en) International cue language generating method, system, computer equipment and storage medium
CN111767481A (en) Access processing method, device, equipment and storage medium
CN108960378B (en) Data downloading method, system, device and storage medium
CN110719325A (en) Method and device for responding to user request
CN106202302A (en) Collecting method, Apparatus and system
CN109783185B (en) Cloud virtual machine creating method and device and cloud equipment
KR20200045789A (en) System for advertisement platform based big data
CN112035773A (en) Data processing method and server side equipment
CN112527991A (en) Information processing method, apparatus and medium
CN103051607B (en) Access method, equipment and system
CN111625588A (en) Method and system for sharing distributed data acquisition data

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20210525

RJ01 Rejection of invention patent application after publication