CN112435050B - Method for acquiring associated enterprises, electronic equipment, computer storage medium and terminal - Google Patents
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Abstract
The invention discloses an acquisition method, electronic equipment, a computer storage medium and a terminal of an associated enterprise. The method comprises S1, a data preparation step, comprising: forming a corresponding relation set of enterprises serving as fifth, second, third and fourth prepositive data and competitor enterprises, a corresponding relation set of products and production enterprises, a corresponding relation set of products and complementary products and a corresponding relation set of products and substitute products respectively; s2, a bid product enterprise obtaining step of a target enterprise comprises the following steps: respectively obtaining a competitor enterprise set, a complementary product production enterprise set, a substitute product set and a substitute product production enterprise set according to the fifth, third, second, fourth and second correspondence; and merging the competitor enterprise set, the complementary product production enterprise set and the substitute product production enterprise set to obtain the competitive product enterprise set. The method can recommend bidding enterprises for government when the enterprises are recruited or an industrial environment is created.
Description
Technical Field
The present invention relates to the field of computer information processing technologies, and in particular, to an acquiring method, an electronic device, a computer storage medium, and a terminal for an associated enterprise.
Background
The strategy purchase is based on the core competitive advantage of the main and enterprises, and is guided by the development strategy, namely, the strategy purchase is regarded as an organic component part for realizing the strategy of the enterprises. The goal is not generally to achieve speculative revenue but rather to obtain or strengthen the core capabilities of the enterprise by purchasing and together. Strategic and purchase can be divided into: industry integration, industry expansion, new industry construction. The purchase objects are mainly customers, suppliers, competitors, complementary product and substitute manufacturers of the purchase company, and the purchase modes comprise transverse, longitudinal and oblique mixed purchase. The horizontal purchase is that the company purchases a certain competitor locally or in different places, improves and improves a certain operation link in the process or realizes complementary advantages or scale economy, and the longitudinal purchase is the purchase facing suppliers and customers, thereby enlarging the direct profit space of the company; the oblique mixed purchase is a company which utilizes the existing marketing channel to expand the company without direct relation or substitution and complementation relation with the industry. Strategic and purchase between unrelated companies often places the company in confusion and dilemma.
The strategic master baud attributes factors affecting industry competition into five competing forces, namely entry threat, substitution threat, buyer's ability to reserve price, supplier's ability to reserve price, competition among existing competitors. He believes that these five forces together determine the strength of the industry competition and the industry profit margin. The theory of baud provides a model for researching the industrial environment, and has great guiding significance for various practices in enterprises and academia.
It is therefore proposed that governments, when working in commercial establishments and creating industrial environments, need to strive to produce complementary products and alternatives in a cluster in addition to multiple enterprises that produce the same products in a competitive relationship.
However, there is no method in the market to recommend competitors, alternative product manufacturers and complementary product manufacturers of related enterprises for government when the enterprises are recruited or when the industrial environment is created, and it is difficult to satisfy the use demands of people.
Disclosure of Invention
To overcome the disadvantages of the prior art, the present invention is directed to an acquiring method of an associated business, which may be capable of recommending competitors, alternative product manufacturers, and complementary product manufacturers of the associated business for a government at the time of business recruitment or at the time of construction of an industrial environment, a second invention is directed to an electronic device in one-to-one correspondence with the acquiring method, a third invention is directed to providing a computer-readable storage medium storing an acquiring program of the associated business, which implements the acquiring method when executed by a processor, and a fourth invention is directed to a terminal, which implements the acquiring method when the processor executes the acquiring program of the associated business.
In order to achieve the first object, the present invention adopts the following technical scheme:
an acquisition method of an associated enterprise comprises the following steps:
s1, a data preparation step, which specifically comprises the following steps:
s11, traversing enterprises in the industry, and determining competitor enterprises of each enterprise to form a corresponding relation set of the enterprises and the competitor enterprises; the corresponding relation set of the enterprise and the competitor enterprise is used as fifth prepositive data;
s12, traversing products in the industry, and determining production enterprises of each product to form a corresponding relation set of the products and the production enterprises; the corresponding relation set of the product and the production enterprises is used as second preposed data;
s13, traversing products in the industry, and determining complementary products of each product to form a corresponding relation set of the products and the complementary products; the corresponding relation set of the product and the complementary product is used as third prepositive data;
s14, traversing products in the industry, and determining a substitute product of each product to form a corresponding relation set of the product and the substitute product; the corresponding relation set of the product and the substitute product is used as fourth preposed data;
s2, acquiring a bid product enterprise of a target enterprise, which specifically comprises the following steps:
s21, obtaining a competitor enterprise set of the target enterprise according to the fifth prepositive data;
s22, traversing each product of the target enterprise, and obtaining a complementary product set of the target enterprise according to the third preposed data;
s23, traversing the complementary product set of the target enterprise, and obtaining the complementary product production enterprise set of the target enterprise according to the second preposed data;
s24, traversing each product of the target enterprise, and obtaining a substitute product set of the target enterprise according to the fourth preposed data;
s25, traversing the substitute product set of the target enterprise, and obtaining a substitute product production enterprise set of the target enterprise according to the second preposed data;
s26, combining the competitor enterprise set, the complementary product production enterprise set and the substitute product production enterprise set, and obtaining the bid enterprise set of the target enterprise.
Further, the step S1 further includes a step S10 before the step S11, specifically as follows:
normalizing names of products in the industry to form a product name normalization dictionary; the product name normalization dictionary is used as first prepositive data.
Preferably, the name normalization of the product comprises the following steps:
s101, collecting product names from a plurality of sources;
s102, calculating approximate product names, putting all the approximate product names exceeding a threshold value into a set, and randomly selecting one of the approximate product names as a normalized product name;
s103, collecting the normalized product names to form a product name normalization dictionary.
Further, the source of the corresponding relation set of the enterprise and the competitor enterprise is at least one of self-described competitive clients and industry news.
Further, the source of the corresponding relation set of the product and the production enterprise is at least one of the operation range of the production enterprise, the product catalog of the production enterprise and the product catalog of the industry.
Still further, the method for acquiring the associated enterprise according to the present invention further comprises
S3, a competitive product enterprise complement step, namely:
randomly selecting a tap enterprise of the industry to which the bidding enterprise belongs to be added into a bidding enterprise set of the target enterprise, specifically
Traversing the tap enterprises of the industries to which the bidding enterprises belong, generating a random number of 0-100 for each tap enterprise, and adding the corresponding tap enterprise into the bidding enterprise set of the target enterprise if the random number is larger than a preset threshold value.
Still further, the method for acquiring the associated enterprise according to the present invention further comprises
S4, screening steps of bidding enterprises, namely:
further screening bidding enterprises in the bidding enterprise set of the target enterprises according to geographic positions and/or site-transfer willingness of the bidding enterprises and/or comparison requirements and/or change conditions of core technicians, in particular
Traversing all businesses within the collection of bidding-related businesses, for a given one of the businesses, (a) removing the business if the geographic distance of the business exceeds a threshold; (b) If the enterprise has no intention to migrate, removing the enterprise; (c) If the business is clearly out of compliance with the comparison requirements, the business is removed.
Preferably, the comparison demand includes government recruitment demand and/or strategic investment demand of a marketable business.
Further, the method for acquiring the associated enterprises of the present invention further comprises S5, a bid enterprise ordering step, namely: and reading products corresponding to each bidding enterprise according to the second prepositive data for the bidding enterprises in the bidding enterprise set, and sequencing according to the occurrence quantity of the products corresponding to each bidding enterprise.
In order to achieve the second object of the present invention, the following is a specific technical solution:
an acquiring electronic device of an associated enterprise, comprising
A data preparation device, the data preparation device comprising:
the fifth front-end data acquisition device is used for traversing enterprises in the industry and determining competitor enterprises of each enterprise to form a corresponding relation set of the enterprises and the competitor enterprises; the corresponding relation set of the enterprise and the competitor enterprise is used as fifth prepositive data;
the second prepositive data acquisition device is used for traversing products in the industry and determining the production enterprises of each product so as to form a corresponding relation set of the products and the production enterprises; the corresponding relation set of the product and the production enterprises is used as second preposed data;
the third prepositive data acquisition device is used for traversing products in the industry and determining complementary products of each product so as to form a corresponding relation set of the products and the complementary products; the corresponding relation set of the product and the complementary product is used as third prepositive data;
the fourth prepositive data acquisition device is used for traversing products in the industry and determining a substitute product of each product so as to form a corresponding relation set of the products and the substitute products; the corresponding relation set of the product and the substitute product is used as fourth preposed data;
a bid enterprise acquisition device of a target enterprise, the bid enterprise acquisition device of the target enterprise comprising:
the competitor enterprise set acquisition device of the target enterprise is used for acquiring a competitor enterprise set of the target enterprise according to the fifth prepositive data;
the complementary product set acquisition device of the target enterprise is used for traversing each product of the target enterprise and acquiring a complementary product set of the target enterprise according to the third preposed data;
the complementary product production enterprise set acquisition device of the target enterprise is used for traversing the complementary product set of the target enterprise and acquiring the complementary product production enterprise set of the target enterprise according to the second preposed data;
the substitute product set acquisition device of the target enterprise is used for traversing each product of the target enterprise and acquiring a substitute product set of the target enterprise according to the fourth preposed data;
the substitute product production enterprise set acquisition device of the target enterprise is used for traversing the substitute product set of the target enterprise and acquiring the substitute product production enterprise set of the target enterprise according to the second preposed data;
and the bid enterprise set acquisition device is used for combining the competitor enterprise set, the complementary product production enterprise set and the substitute product production enterprise set to acquire the bid enterprise set of the target enterprise.
In order to achieve the third object of the present invention, the following is a specific technical solution:
a computer-readable storage medium having stored thereon an associated enterprise acquisition program that when executed by a processor implements the associated enterprise acquisition method.
In order to achieve the fourth object of the present invention, the present invention adopts the following technical solutions:
a terminal comprises a memory, a processor and an acquisition program of an associated enterprise stored in the memory and capable of running on the processor, wherein the processor realizes the acquisition method of the associated enterprise when executing the acquisition program of the associated enterprise.
It should be noted that the bidding enterprise of the present invention includes a competitor enterprise, a complementary product manufacturing enterprise and a substitute product manufacturing enterprise.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method for acquiring the associated enterprises, the competitor enterprise set is firstly found out from the target enterprises, then the complementary products and the substitute products are acquired according to the products produced by the target enterprises, then the complementary product production enterprise set and the substitute product production enterprise set of the target enterprises are respectively and correspondingly acquired through the complementary products and the substitute products, and then the competitor enterprise set, the complementary product production enterprise set and the substitute product production enterprise set are combined to obtain the bid enterprise set of the target enterprises, so that the bid enterprises of the related enterprises can be recommended for the government when the enterprises are recruited or the industrial environment is created, and the use requirements of people are met.
2. The method for acquiring the associated enterprises further comprises the step of supplementing the bidding product enterprises, so that the completeness of the recommended information of the bidding product enterprises can be further improved, and the completeness reaches more than 85%.
3. The method for acquiring the associated enterprises further comprises a screening step of the bidding enterprise, and the accuracy of the bidding enterprise group recommendation information can be further improved.
4. The method for acquiring the associated enterprises further comprises a bid enterprise ordering step, so that the enterprises can be helped to preferentially select the corresponding bid enterprises.
The invention is described in further detail below with reference to the drawings and the detailed description.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a method for acquiring an associated enterprise according to a preferred embodiment of the present invention.
Detailed Description
As shown in fig. 1, the method for acquiring the associated enterprise of the present invention includes the following steps:
s1, a data preparation step, which specifically comprises the following steps:
s11, traversing enterprises in the industry, and determining competitor enterprises of each enterprise to form a corresponding relation set of the enterprises and the competitor enterprises; the corresponding relation set of the enterprise and the competitor enterprise is used as fifth prepositive data;
s12, traversing products in the industry, and determining production enterprises of each product to form a corresponding relation set of the products and the production enterprises; the corresponding relation set of the product and the production enterprises is used as second preposed data;
s13, traversing products in the industry, and determining complementary products of each product to form a corresponding relation set of the products and the complementary products; the corresponding relation set of the product and the complementary product is used as third prepositive data;
s14, traversing products in the industry, and determining a substitute product of each product to form a corresponding relation set of the product and the substitute product; the corresponding relation set of the product and the substitute product is used as fourth preposed data;
s2, acquiring a bid product enterprise of a target enterprise, which specifically comprises the following steps:
s21, obtaining a competitor enterprise set of the target enterprise according to the fifth prepositive data;
s22, traversing each product of the target enterprise, and obtaining a complementary product set of the target enterprise according to the third preposed data;
s23, traversing the complementary product set of the target enterprise, and obtaining the complementary product production enterprise set of the target enterprise according to the second preposed data;
s24, traversing each product of the target enterprise, and obtaining a substitute product set of the target enterprise according to the fourth preposed data;
s25, traversing the substitute product set of the target enterprise, and obtaining a substitute product production enterprise set of the target enterprise according to the second preposed data;
s26, combining the competitor enterprise set, the complementary product production enterprise set and the substitute product production enterprise set, and obtaining the bid enterprise set of the target enterprise.
It should be noted that the bidding enterprise of the present invention includes a competitor enterprise, a complementary product manufacturing enterprise and a substitute product manufacturing enterprise.
Further, the step S1 further includes a step S10 before the step S11, specifically as follows:
normalizing names of products in the industry to form a product name normalization dictionary; the product name normalization dictionary is used as first prepositive data.
In order to further improve the accuracy of the obtained second preamble data and third preamble data, as a further improvement of the present embodiment, the name normalization of the product includes the steps of:
s101, collecting product names from a plurality of sources;
s102, calculating approximate product names, putting all the approximate product names exceeding a threshold value into a set, and randomly selecting one of the approximate product names as a normalized product name;
s103, collecting the normalized product names to form a product name normalization dictionary.
In order to simplify the source and reduce the use cost, the source comprises a product webpage of a strategically emerging industry key product and service guidance catalog and an electronic commerce platform.
Specifically, the source of the corresponding relation set of the enterprise and the competitor enterprise is at least one of self-described competitive clients and industry news.
Specifically, the source of the corresponding relation set of the product and the production enterprise is at least one of the operation range of the production enterprise, the product catalog of the production enterprise and the product catalog of the industry.
In order to further improve the completeness of the recommended information of the bid enterprise group, as an improvement of the embodiment, the method for acquiring the associated enterprise of the invention further comprises the following steps of
S3, a competitive product enterprise complement step, namely:
randomly selecting a tap enterprise of the industry to which the bidding enterprise belongs to be added into a bidding enterprise set of the target enterprise, specifically
Traversing the tap enterprises of the industries to which the bidding enterprises belong, generating a random number of 0-100 for each tap enterprise, and adding the corresponding tap enterprise into the bidding enterprise set of the target enterprise if the random number is larger than a preset threshold value.
In order to further improve the accuracy of the bid enterprise group recommendation information, as an improvement of the embodiment, the method for acquiring the associated enterprise of the present invention further includes
S4, screening steps of bidding enterprises, namely:
further screening bidding enterprises in the bidding enterprise set of the target enterprises according to geographic positions and/or site-transfer willingness of the bidding enterprises and/or comparison requirements and/or change conditions of core technicians, in particular
Traversing all businesses within the collection of bidding-related businesses, for a given one of the businesses, (a) removing the business if the geographic distance of the business exceeds a threshold; (b) If the enterprise has no intention to migrate, removing the enterprise; (c) An enterprise is removed if the enterprise is clearly out of compliance with the demand for comparison, e.g., the industry to which the enterprise belongs does not belong to the government tenderer's industry and/or the strategic investment requirements of the marketed enterprise.
Still further, in order to facilitate the enterprises to select the corresponding bidding enterprises preferentially, as a further improvement of the embodiment, the method for acquiring the associated enterprises further includes S5, a bidding enterprise ordering step, that is: and reading products corresponding to each bidding enterprise according to the second prepositive data for the bidding enterprises in the bidding enterprise set, and sequencing according to the occurrence quantity of the products corresponding to each bidding enterprise.
The following describes the specific sorting process of the related enterprises according to the present invention with reference to specific examples:
given enterprise i, to determine whether enterprise v is a bidding enterprise of enterprise i, use "bidding score" cv=alpha for enterprise v for bidding enterprise coefficient ev+ (1-alpha) for complementary product coefficient Fv-talent difference coefficient Bv. The idea of scoring: (a-1) first, consider a known competing relationship of the two enterprises; (a-2) secondly, taking into account the complementary relationship of the products of the two enterprises; (b) Considering the above two relationships in combination,
wherein alpha is a real number greater than or equal to 0 and less than or equal to 1; and the value of alpha is regulated according to the requirements; for example, when compared with the scene that the demand comes from a sponsor, the construction of the industry chain is more emphasized, so that the alpha value is closer to 1; for another example, when the demand comes from the scenes of supply chain finance, strategic investment and the like, the buying and selling relationship of the product is more emphasized, so that the alpha value is closer to 0; (c) The influence of non-productivity is removed, specifically, the difference in talent composition of two enterprises is considered.
(1) Bidding enterprise coefficients. Given n-1 enterprises, e1, …, e (i-1), e (i+1), …, en is 1, …, i-1, i+1, …, n enterprise bid enterprise value for given enterprise i, i.e., ev is bid enterprise value for enterprise i for v enterprise, with a value range of integer greater than or equal to 0; wherein ev is given the following value: given the aforementioned "bid enterprise set" for enterprise i, the number of occurrences of enterprise v in this set is ev.
The bid enterprise coefficient ev=ev/(e1+ … +e (i-1) +e (i+1) + … +en) of the v-th enterprise according to the formula, all values of Ev are real numbers greater than or equal to 0 and less than or equal to 1.
(2) Complementary product coefficients. Given n-1 enterprises, f1, …, f (i-1), f (i+1), …, fn are the complementary product values of 1, …, i-1, i+1, … for the n enterprises for the given enterprise i, i.e., fv is the complementary product value for the v enterprise for the enterprise i, and the value range is an integer greater than or equal to 0;
wherein, the value of fv is as follows: given the aforementioned "set of correspondence between products and complementary products", all (product from enterprise i, product from enterprise v) tuples are traversed and counted, with the result of the count being fv.
The complementary product coefficients fv=fv/(f1+ … +f (i-1) +f (i+1) + … +fn) of the v-th enterprise all Fv values are real numbers greater than or equal to 0 and less than or equal to 1 according to the formula.
(3) Talent difference coefficient. Given the enterprise v recruitment post classification and the enterprise i recruitment post classification, the talent difference coefficient Bv takes the following values: (a) Coefficient=0.0, if the overlapped classifications are above 10; (b) coefficient=0.5, if the overlap classification is between 5-9; (c) coefficient=0.75 if the overlap classification is between 0 and 4.
And sequencing n-1 enterprises from big to small according to the value of Cj, and outputting the sequenced enterprises to obtain a bid enterprise list of the given enterprise i.
The invention also discloses an electronic device for acquiring the associated enterprises, which comprises
A data preparation device, the data preparation device comprising:
the fifth front-end data acquisition device is used for traversing enterprises in the industry and determining competitor enterprises of each enterprise to form a corresponding relation set of the enterprises and the competitor enterprises; the corresponding relation set of the enterprise and the competitor enterprise is used as fifth prepositive data;
the second prepositive data acquisition device is used for traversing products in the industry and determining the production enterprises of each product so as to form a corresponding relation set of the products and the production enterprises; the corresponding relation set of the product and the production enterprises is used as second preposed data;
the third prepositive data acquisition device is used for traversing products in the industry and determining complementary products of each product so as to form a corresponding relation set of the products and the complementary products; the corresponding relation set of the product and the complementary product is used as third prepositive data;
the fourth prepositive data acquisition device is used for traversing products in the industry and determining a substitute product of each product so as to form a corresponding relation set of the products and the substitute products; the corresponding relation set of the product and the substitute product is used as fourth preposed data;
a bid enterprise acquisition device of a target enterprise, the bid enterprise acquisition device of the target enterprise comprising:
the competitor enterprise set acquisition device of the target enterprise is used for acquiring a competitor enterprise set of the target enterprise according to the fifth prepositive data;
the complementary product set acquisition device of the target enterprise is used for traversing each product of the target enterprise and acquiring a complementary product set of the target enterprise according to the third preposed data;
the complementary product production enterprise set acquisition device of the target enterprise is used for traversing the complementary product set of the target enterprise and acquiring the complementary product production enterprise set of the target enterprise according to the second preposed data;
the substitute product set acquisition device of the target enterprise is used for traversing each product of the target enterprise and acquiring a substitute product set of the target enterprise according to the fourth preposed data;
the substitute product production enterprise set acquisition device of the target enterprise is used for traversing the substitute product set of the target enterprise and acquiring the substitute product production enterprise set of the target enterprise according to the second preposed data;
and the bid enterprise set acquisition device is used for combining the competitor enterprise set, the complementary product production enterprise set and the substitute product production enterprise set to acquire the bid enterprise set of the target enterprise.
The invention also discloses a computer readable storage medium, on which an acquisition program of the associated enterprise is stored, which when executed by a processor, implements the acquisition method of the associated enterprise.
The invention also discloses a terminal, which comprises a memory, a processor and an acquisition program of the associated enterprise, wherein the acquisition program is stored in the memory and can run on the processor, and the acquisition method of the associated enterprise is realized when the processor executes the acquisition program of the associated enterprise.
The above embodiments are only preferred embodiments of the present invention, and the scope of the present invention is not limited thereto, but any insubstantial changes and substitutions made by those skilled in the art on the basis of the present invention are intended to be within the scope of the present invention as claimed.
Claims (3)
1. The method for acquiring the associated enterprises is characterized by comprising the following steps:
s1, a data preparation step, which specifically comprises the following steps:
s10, normalizing names of products in the industry to form a product name normalization dictionary; the product name normalization dictionary is used as first prepositive data, and the product name normalization comprises the following steps:
s101, collecting product names from a plurality of sources;
s102, calculating approximate product names, putting all the approximate product names exceeding a threshold value into a set, and randomly selecting one of the approximate product names as a normalized product name;
s103, collecting the normalized product names to form a product name normalization dictionary;
s11, traversing enterprises in the industry, and determining competitor enterprises of each enterprise to form a corresponding relation set of the enterprises and the competitor enterprises; the corresponding relation set of the enterprise and the competitor enterprise is used as fifth prepositive data; the source of the corresponding relation set of the enterprise and the competitor enterprise is at least one of self-describing competitive clients and industry news of the enterprise;
s12, traversing products in the industry, and determining production enterprises of each product to form a corresponding relation set of the products and the production enterprises; the corresponding relation set of the product and the production enterprises is used as second preposed data; the source of the corresponding relation set of the product and the production enterprise is at least one of the operation range of the production enterprise, the product catalog of the production enterprise and the product catalog of the industry;
s13, traversing products in the industry, and determining complementary products of each product to form a corresponding relation set of the products and the complementary products; the corresponding relation set of the product and the complementary product is used as third prepositive data;
s14, traversing products in the industry, and determining a substitute product of each product to form a corresponding relation set of the product and the substitute product; the corresponding relation set of the product and the substitute product is used as fourth preposed data;
s2, acquiring a bid product enterprise of a target enterprise, which specifically comprises the following steps:
s21, obtaining a competitor enterprise set of the target enterprise according to the fifth prepositive data;
s22, traversing each product of the target enterprise, and obtaining a complementary product set of the target enterprise according to the third preposed data;
s23, traversing the complementary product set of the target enterprise, and obtaining the complementary product production enterprise set of the target enterprise according to the second preposed data;
s24, traversing each product of the target enterprise, and obtaining a substitute product set of the target enterprise according to the fourth preposed data;
s25, traversing the substitute product set of the target enterprise, and obtaining a substitute product production enterprise set of the target enterprise according to the second preposed data;
s26, combining the competitor enterprise set, the complementary product production enterprise set and the substitute product production enterprise set to obtain a bid enterprise set of the target enterprise;
the method for acquiring the associated enterprises further comprises the following steps:
s3, a competitive product enterprise complement step, namely:
randomly selecting a tap enterprise of the industry to which the bidding enterprise belongs to be added into a bidding enterprise set of the target enterprise, specifically
Traversing the tap enterprises of the industries to which the bidding enterprises belong, generating a random number of 0-100 for each tap enterprise, and adding the corresponding tap enterprise into the bidding enterprise set of the target enterprise if the random number is greater than a preset threshold;
or also include
S4, screening steps of bidding enterprises, namely:
further screening bidding enterprises in the bidding enterprise set of the target enterprises according to geographic positions and/or site-transfer willingness of the bidding enterprises and/or comparison requirements and/or change conditions of core technicians, in particular
Traversing all businesses within the collection of bidding-related businesses, for a given one of the businesses, (a) removing the business if the geographic distance of the business exceeds a threshold; (b) If the enterprise has no intention to migrate, removing the enterprise; (c) If the enterprise is clearly out of compliance with the comparison requirement, the enterprise is removed;
or, the method further comprises S5, namely, the step of ordering the bidding enterprises is that: and reading products corresponding to each bidding enterprise according to the second prepositive data for the bidding enterprises in the bidding enterprise set, and sequencing according to the occurrence quantity of the products corresponding to each bidding enterprise.
2. A computer-readable storage medium, characterized by: an associated-enterprise acquisition program stored thereon, which when executed by a processor, implements the associated-enterprise acquisition method of claim 1.
3. A terminal, characterized by: the method for acquiring the associated enterprise comprises a memory, a processor and an associated enterprise acquisition program which is stored in the memory and can run on the processor, wherein the processor realizes the method for acquiring the associated enterprise according to claim 1 when executing the associated enterprise acquisition program.
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