Target enterprise contact chain network construction method and system, and medium

Abstract

The invention discloses an enterprise connection chain network construction method, a system with the enterprise connection chain network construction method and a medium, and the enterprise connection chain network construction method comprises the following steps: collecting public bid-winning data, respectively constructing a first-party library and a second-party library, and matching possible connection relationships in the first-party library and the second-party library; a wider visual field is provided for the second party to find potential customers, and the service range is widened.

Description

Technical Field

[0001] The present invention relates to the field of data collection, and in particular to a method and system for constructing a human connection chain network. Background Art

[0002] When choosing a partner, companies tend to choose companies they have worked with before, or companies with which they have some connection. This tendency can be called a personal connection. When companies bid for projects, personal connections with the bidding companies can increase the company's chances of winning the bid to a certain extent, thereby improving efficiency.

[0003] Some personal connections are known by the companies themselves, but there are many potential personal connections that are difficult to recognize. They need to be explored and reminded before people can be aware of the existence of personal connections. In order to avoid potential personal connections being ignored, it is necessary to provide a system that can prompt users of personal connection relationships to increase the success rate of bidding. Summary of the invention

[0004] The present invention aims to solve at least one of the technical problems existing in the prior art. To this end, the present invention proposes a method for constructing a corporate human connection network, which can select and recommend parties with potential human connections based on the units that the enterprise has cooperated with, thereby improving the success rate of bidding.

[0005] The present invention also proposes a system having the above-mentioned enterprise human connection chain network construction method.

[0006] According to the first aspect of the present invention, the method for constructing an enterprise personal network chain is characterized by comprising the following steps:

[0007] Obtaining winning bid information based on public data on the Internet, and integrating the winning bid information into a Party B database;

[0008] Based on the data in the Party B database, extract the information of the bidding project name, release time, bidding unit, winning bidder, agency, bidding product, industry category, and original announcement as key information;

[0009] Based on the key information, build a Party A library;

[0010] Compare the winning products of the target enterprise with the procurement products in the Party A database to obtain the potential customer base of the target enterprise;

[0011] The potential customer group is recommended to the target enterprise.

[0012] The method for constructing an enterprise personal network according to an embodiment of the present invention has at least the following beneficial effects: the method obtains previous winning bid information through public channels, constructs the data of Party A and Party B in the bidding process, and analyzes the interpersonal relationships of the personnel and the procurement projects, so as to match the related enterprises and thereby improve the success rate of Party B's bidding.

[0013] According to some embodiments of the present invention, after building the Party A library, the method further includes:

[0014] Each enterprise in the Party A database is divided into main circles according to the nature of the enterprise, and is divided into sub-circles according to the fields involved.

[0015] According to some embodiments of the present invention, the step of recommending the potential customer group to the target enterprise specifically includes:

[0016] Sort the potential customer group by regional distance, from near to far, and then divide them into major circles and recommend them to the target company.

[0017] According to some embodiments of the present invention, the step of recommending the potential customer group to the target enterprise specifically includes:

[0018] Compare the educational experience of employees in the potential customer base with that of employees in the target company to obtain a list of alumni of the target company;

[0019] The number of times alumni in the list have cooperated with Party A's company is used as the relationship index, and the potential customer base is sorted in reverse order according to the relationship index and cooperation time, and recommended to the target company.

[0020] According to some embodiments of the present invention, the step of constructing the Party A database requires obtaining Party A's name, unified credit society code, business status, establishment date, registered capital, legal representative, registered address, and longitude and latitude information, and logging them into the Party A database.

[0021] According to some embodiments of the present invention, the main circles include: customer circle, education circle, medical circle, and government circle; the subdivided circles include: technology, human resources, insurance, military industry, chemicals, media, automobiles, tobacco, electricity, environmental protection, and energy.

[0022] According to the second aspect of the present invention, the enterprise human connection chain network construction system is characterized by comprising:

[0023] A data collection module, capable of acquiring bid winning information based on public data on the Internet, and integrating the bid winning information into a Party B database;

[0024] The data disassembly module can extract the information of the bidding project name, release time, bidding unit, winning unit, agency, bidding product, industry category, and original announcement text from the data in the Party B database as key information;

[0025] The data integration module can build a Party A database based on the key information;

[0026] The customer group collection module can compare the winning products of the target enterprise with the procurement products in the Party A database to obtain the potential customer groups of the target enterprise;

[0027] The data recommendation module can recommend the potential customer group to the target enterprise.

[0028] According to some embodiments of the present invention, the system further comprises:

[0029] The Party A database stratification module can divide each enterprise in the Party A database into main circles according to the nature of the enterprise, and divide it into sub-circles according to the field involved.

[0030] According to some embodiments of the present invention, the data recommendation module includes:

[0031] Sort the potential customer group by regional distance, from near to far, and then divide them into major circles and recommend them to the target company.

[0032] According to some embodiments of the present invention, the data recommendation module includes:

[0033] The alumni screening component can compare the educational experience of employees in the potential customer base with that of employees in the target company to obtain a list of alumni of the target company.

[0034] The customer sorting component can use the number of times the alumni list has cooperated with Party A's company as the relationship index, and sort the potential customer base in reverse order according to the relationship index and cooperation time, and recommend them to the target company.

[0035] According to some embodiments of the present invention, the data integration module needs to obtain Party A's name, unified credit society code, business status, establishment date, registered capital, legal representative, registered address, and longitude and latitude information, and log them into the Party A database.

[0036] According to some embodiments of the present invention, the main circles include: customer circle, education circle, medical circle, and government circle; the subdivided circles include: technology, human resources, insurance, military industry, chemicals, media, automobiles, tobacco, electricity, environmental protection, and energy.

[0037] Additional aspects and advantages of the present invention will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] The above and / or additional aspects and advantages of the present invention will become apparent and easily understood from the description of the embodiments in conjunction with the following drawings, in which:

[0039] Figure 1 A schematic diagram of the steps of a method for constructing an enterprise personal network chain provided by an embodiment of the present invention;

[0040] Figure 2 This is a structural block diagram of the enterprise personal network construction system provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0041] Embodiments of the present invention are described in detail below, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are only used to explain the present invention, and cannot be understood as limiting the present invention.

[0042] In the description of the present invention, it should be understood that descriptions involving orientations, such as up, down, front, back, left, right, etc., and orientations or positional relationships indicated are based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as a limitation on the present invention.

[0043] In the description of the present invention, "several" means one or more, "more" means more than two, "greater than", "less than", "exceed" etc. are understood as not including the number itself, and "above", "below", "within" etc. are understood as including the number itself. If there is a description of "first" or "second", it is only used for the purpose of distinguishing the technical features, and cannot be understood as indicating or implying the relative importance or implicitly indicating the number of the indicated technical features or implicitly indicating the order of the indicated technical features.

[0044] In the description of the present invention, unless otherwise clearly defined, terms such as setting, installing, connecting, etc. should be understood in a broad sense, and technicians in the relevant technical field can reasonably determine the specific meanings of the above terms in the present invention based on the specific content of the technical solution.

[0045] The embodiment of the present invention provides a method for constructing an enterprise human connection chain network. Figure 1 As shown, the following steps are included:

[0046] Step S100: Obtain winning bid information based on Internet public data, and integrate the winning bid information into a Party B database.

[0047] The winning bid information of enterprises is collected from public information on the Internet, and the winning bid information is integrated into the Party B database. It can be understood that if the enterprise human connection chain network provided by the present invention is used later, the winning bid information of the enterprise can be obtained first and added to the Party B database for integration to increase the capacity of the database and improve the matching effect.

[0048] Step S200: Based on the data in the Party B database, extract the information including the name of the bidding project, release time, bidding unit, winning bidder, agency, bidding product, industry category, and original announcement text as key information.

[0049] Step S300: construct a Party A library based on the key information.

[0050] According to the key information extracted in step S200, a Party A library is constructed.

[0051] Furthermore, it is necessary to collect Party A's name, unified credit society code, business status, establishment date, registered capital, legal representative, registered address, longitude and latitude information, and log them into the Party A database.

[0052] Preferably, in order to better organize the Party A database, when constructing the Party A database, it also includes: dividing each enterprise in the Party A database into main circles according to the nature of the enterprise, and dividing it into sub-circles according to the field involved. Specifically, Party A can be divided into main circles such as customer circle, education circle, medical circle, government circle, and other sub-circles such as technology, human resources, insurance, military industry, chemical industry, media, automobile, tobacco, electricity, environmental protection, energy, etc.

[0053] Step S400: Compare the winning products of the target enterprise with the procurement products in the Party A database to obtain the potential customer base of the target enterprise.

[0054] According to the projects in which Party B's company has won bids, search for the winning history of the same or similar products, find Party A who is willing to bid, and recommend Party A to Party B, so as to expand Party B's business scope.

[0055] Step S500: recommending the potential customer group to the target enterprise.

[0056] When recommending customer groups to target enterprises, they can be sorted by regional distance, from near to far, and then divided into major circles and recommended to the target enterprises.

[0057] Because Party A companies usually choose to cooperate with companies that are close to them, recommending them in order can further enhance the effect of the embodiments of the present application.

[0058] Preferably, if Party B wants to reach Party A, it can do so by attracting alumni of Party B's company that has cooperated with Party A. By reaching Party A through alumni, the probability of successful cooperation can be increased to a certain extent.

[0059] The number of times the alumni have cooperated with Party A is used as the relationship index, and the relationship index and the time of most recent cooperation are arranged in reverse order to increase the probability of being reachable.

[0060] Then step S500 may specifically include:

[0061] Step S501: Compare the education experience of employees in the potential customer group with the education experience of employees in the target enterprise to obtain a list of alumni of the target enterprise.

[0062] Step S502: Use the number of times the alumni in the list have cooperated with Party A's enterprise as a relationship index, and sort the potential customer base in reverse order of the relationship index and cooperation time, and recommend them to the target enterprise.

[0063] Another embodiment of the present application provides a system for building a corporate network of connections. Figure 2 As shown, the system 20 includes:

[0064] The data collection module 201 can obtain the winning bid information based on the public data on the Internet and integrate the winning bid information into the Party B database;

[0065] The data disassembly module 202 can extract the information of the bidding project name, release time, bidding unit, winning unit, agency, bidding product, industry category, and original announcement text from the data in the Party B database as key information;

[0066] The data integration module 203 can build a Party A database based on the key information;

[0067] The customer group collection module 204 can compare the winning products of the target enterprise with the procurement products in the Party A database to obtain the potential customer groups of the target enterprise;

[0068] The data recommendation module 205 can recommend the potential customer group to the target enterprise.

[0069] Furthermore, the system further includes:

[0070] The Party A database stratification module can divide each enterprise in the Party A database into main circles according to the nature of the enterprise, and divide it into sub-circles according to the field involved.

[0071] Furthermore, the data recommendation module 205 includes:

[0072] Sort the potential customer group by regional distance, from near to far, and then divide them into major circles and recommend them to the target company.

[0073] Furthermore, the data recommendation module 205 includes:

[0074] The alumni screening component can compare the educational experience of employees in the potential customer base with that of employees in the target company to obtain a list of alumni of the target company.

[0075] The customer sorting component can use the number of times the alumni list has cooperated with Party A's company as the relationship index, and sort the potential customer base in reverse order according to the relationship index and cooperation time, and recommend them to the target company.

[0076] Furthermore, the data integration module 203 needs to obtain the name, unified credit society code, business status, establishment date, registered capital, legal representative, registered address, longitude and latitude information of Party A, and log it into the Party A database.

[0077] Furthermore, the above-mentioned main circles include: customer circle, education circle, medical circle, and government circle; the subdivided circles include: technology, human resources, insurance, military industry, chemicals, media, automobiles, tobacco, electricity, environmental protection, and energy.

[0078] Another embodiment of the present application provides a computer-readable storage medium storing computer-executable instructions for executing the above-mentioned Figure 1 The method of building a corporate network of personal connections is shown.

[0079] The embodiment of the present application collects public bid winning data, builds a Party A database and a Party B database respectively, and matches the possible personal connections therein, thereby providing Party B with a broader perspective for finding potential customers and expanding the business scope.

[0080] The device embodiments described above are only illustrative, and the units described as separate components may or may not be physically separated, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0081] It will be appreciated by those skilled in the art that all or some of the steps and systems in the disclosed method above may be implemented as software, firmware, hardware and appropriate combinations thereof. Some physical components or all physical components may be implemented as software executed by a processor, such as a central processing unit, a digital signal processor or a microprocessor, or may be implemented as hardware, or may be implemented as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or a non-transitory medium) and a communication medium (or a temporary medium). As known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, disk storage or other magnetic storage devices, or any other medium that may be used to store desired information and may be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

[0082] The above is a specific description of the preferred implementation of the present application, but the present application is not limited to the above-mentioned implementation mode. Technical personnel familiar with the field can also make various equivalent deformations or substitutions without violating the spirit of the present application. These equivalent deformations or substitutions are all included in the scope defined by the claims of the present application.

Claims

1. A method for constructing an enterprise human connection chain network, characterized in that: The following steps are involved: Obtaining winning bid information based on public data on the Internet, and integrating the winning bid information into a Party B database; Based on the data in the Party B database, extract the information of the bidding project name, release time, bidding unit, winning bidder, agency, bidding product, industry category, and original announcement as key information; Based on the key information, build a Party A library; Compare the winning products of the target enterprise with the procurement products in the Party A database to obtain the potential customer base of the target enterprise; The potential customer group is recommended to the target enterprise.

2. The method according to claim 1, characterized in that After building the Party A library, it also includes: Each enterprise in the Party A database is divided into main circles according to the nature of the enterprise, and is divided into sub-circles according to the fields involved.

3. The method according to claim 2, characterized in that The step of recommending the potential customer group to the target enterprise specifically includes: Sort the potential customer group by regional distance, from near to far, and then divide them into major circles and recommend them to the target company.

4. The method according to claim 1, characterized in that The step of recommending the potential customer group to the target enterprise specifically includes: Compare the educational experience of employees in the potential customer base with that of employees in the target company to obtain a list of alumni of the target company; The number of times alumni in the list have cooperated with Party A's company is used as the relationship index, and the potential customer base is sorted in reverse order according to the relationship index and cooperation time, and recommended to the target company.

5. The method according to claim 1, characterized in that: The step of constructing the Party A database requires obtaining Party A's name, unified credit society code, business status, establishment date, registered capital, legal representative, registered address, and longitude and latitude information, and logging them into the Party A database.

6. The method according to claim 2, characterized in that The main circles include: customer circle, education circle, medical circle, and government circle; the subdivided circles include: technology, human resources, insurance, military industry, chemicals, media, automobiles, tobacco, electricity, environmental protection, and energy.

7. A corporate human connection network construction system, characterized in that: include: A data collection module, capable of acquiring bid winning information based on public data on the Internet, and integrating the bid winning information into a Party B database; The data disassembly module can extract the information of the bidding project name, release time, bidding unit, winning unit, agency, bidding product, industry category, and original announcement text from the data in the Party B database as key information; The data integration module can build a Party A database based on the key information; The customer group collection module can compare the winning products of the target enterprise with the procurement products in the Party A database to obtain the potential customer groups of the target enterprise; The data recommendation module can recommend the potential customer group to the target enterprise.

8. The system according to claim 7, characterized in that The system further comprises: The Party A database stratification module can divide each enterprise in the Party A database into main circles according to the nature of the enterprise, and divide it into sub-circles according to the field involved.

9. The system according to claim 8, characterized in that The data recommendation module includes: Sort the potential customer group by regional distance, from near to far, and then divide them into major circles and recommend them to the target company.

10. The system according to claim 7, characterized in that The data recommendation module includes: The alumni screening component can compare the educational experience of employees in the potential customer base with that of employees in the target company to obtain a list of alumni of the target company. The customer sorting component can use the number of times the alumni list has cooperated with Party A's company as the relationship index, and sort the potential customer base in reverse order according to the relationship index and cooperation time, and recommend them to the target company.

11. The system according to claim 7, characterized in that The data integration module needs to obtain Party A's name, unified credit society code, business status, establishment date, registered capital, legal representative, registered address, and longitude and latitude information, and log them into the Party A database.

12. The system according to claim 8, characterized in that The main circles include: customer circle, education circle, medical circle, and government circle; the subdivided circles include: technology, human resources, insurance, military industry, chemicals, media, automobiles, tobacco, electricity, environmental protection, and energy.

13. A computer-readable storage medium storing computer-executable instructions, wherein the computer-executable instructions are used to execute the method according to any one of claims 1 to 6.

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