CN112435051A - Obtaining method of associated enterprise, electronic equipment, computer readable storage medium and terminal - Google Patents
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Abstract
The invention discloses an acquisition method of an associated enterprise, electronic equipment, a computer readable storage medium and a terminal, wherein the method comprises the following steps: s1, a data preparation step including: s11, forming a corresponding relation set of the product and the manufacturing enterprise; the corresponding relation set of the product and the production enterprise is used as second preposed data; s12, forming a corresponding relation set of the products and the upstream products; taking the corresponding relation set of the product and the upstream product as third prepositive data; s2, the upstream enterprise acquisition step of the target enterprise comprises the following steps: s21, obtaining an upstream product set of the target enterprise according to the third preposed data; and S22, obtaining the upstream enterprise set of the target enterprise according to the second prepositive data. The method can reduce the omission of the recommendation information of the upstream enterprise group and improve the complete degree and precision of the recommendation information.
Description
Technical Field
The invention relates to the technical field of computer information processing, in particular to an acquisition method of an associated enterprise, electronic equipment, a computer-readable storage medium and a terminal.
Background
Strategic investment targets for local government recruiters or industry leaders require knowledge of the industry chain of the target to determine the specific strategy for recruiting or strategic investment.
The industrial chain is extended upstream, so that the industrial chain generally enters a basic industrial link and a technology research and development link, and the industrial chain enters a market expansion link when being expanded downstream. The essence of an industry chain is the association between enterprises in different industries, and the essence of such industry association is the relationship between supply and demand among enterprises in each industry.
The upstream enterprises refer to enterprises and manufacturers at the initial stage of production and business of the industry, which mainly manufacture raw materials, primary products, and the like necessary for the downstream enterprises. Downstream businesses are primarily concerned with further processing and modification of raw materials and converting the raw materials into actual products in production and life. The upstream enterprise and the downstream enterprise are interdependent. Raw materials provided by upstream enterprises are not available, and downstream enterprises are just like skillful women and are difficult to cook rice; if no downstream enterprise produces the product to be put on the market, the materials of the upstream enterprise are too prosperous.
To this end, the chinese patent application CN108694600A discloses a method for recommending upstream and downstream enterprise groups for target enterprises, which includes the following steps:
s1, constructing an industrial chain product catalog body with upstream and downstream relations;
s2, constructing an HS coding commodity catalog body;
s3, constructing a corresponding relation between two catalog bodies, and mapping the upstream and downstream relation between industry chain products into the HS commodity catalog;
s4, constructing an export relationship between the enterprises and the HS coding commodity catalog;
and S5, calculating and forming the upstream and downstream relation among the enterprises.
According to the method, as the customs HS code commodity catalogue is used, enterprise searching can be carried out only according to upstream and downstream products divided by the HS code commodity catalogue, but as the types of the upstream and downstream products divided by the HS code commodity catalogue are rough, if products with finer types are searched, products with the types which are rough to the upstream and downstream products must be found, and therefore recommendation information of upstream and downstream enterprise groups is omitted, incomplete and poor in precision.
Moreover, the HS code commodity catalog is imported and exported commodities, and the industry of the HS code commodity catalog is limited.
Disclosure of Invention
In order to overcome the disadvantages of the prior art, a first object of the present invention is to provide an acquisition method for associated enterprises, which can effectively reduce omission of recommendation information of an upstream enterprise group and improve completeness and accuracy of the recommendation information, a second object of the present invention is to provide an electronic device corresponding to the acquisition method one to one, a third object of the present invention is to provide an acquisition program for associated enterprises, which is a computer-readable storage medium that realizes the acquisition method when executed by a processor, and a fourth object of the present invention is to provide a terminal, which realizes the acquisition method when executed by a processor.
In order to solve the above first object, the invention adopts the following technical scheme:
an acquisition method of a related enterprise comprises the following steps:
s1, the data preparation step specifically includes the following steps:
s11, traversing the products in the industry, and determining the 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 enterprise is used as second preposed data;
s12, traversing products in the industry, and determining the upstream products of each product to form a corresponding relation set of the products and the upstream products; the corresponding relation set of the product and the upstream product is used as third prepositive data;
s2, the upstream enterprise obtaining step of the target enterprise specifically includes the following steps:
s21, traversing each product of the target enterprise, and acquiring an upstream product set of the target enterprise according to the third preposed data;
and S22, traversing the upstream product set of the target enterprise, and obtaining the upstream enterprise set of the target enterprise according to the second preposed data.
Further, traversing the corresponding relation set of the products and the production enterprises, and removing the repeated corresponding relation of the products and the production enterprises in the set to serve as the second preposed data; traversing the corresponding relation set of the products and the upstream products, and removing the repeated corresponding relation between the products and the upstream products in the set to be used as the third preposed data.
Further, the step S1 further includes a step S10 before S11, which is as follows:
normalizing the names of products in the industry to form a product name normalization dictionary; the product name normalization dictionary serves 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.
Preferably, the sources include strategic emerging industry key products and service guide catalogues and product web pages of e-commerce platforms.
Further, the source of the corresponding relationship set of the product and the manufacturing enterprise is at least one of the operation range of the manufacturing enterprise, the product catalog of the manufacturing enterprise, and the product catalog of the industry.
Further, the source of the corresponding relation set of the product and the upstream product is a production bill of materials of the product.
Preferably, the information of the production bill of materials includes, but is not limited to, a structural hierarchy of materials, a material number, a material name, a specification, a measurement unit, and a source type.
Furthermore, the method for acquiring the associated enterprise further comprises
S3, the upstream enterprise complementing step, namely:
randomly selecting leading enterprises of the industries to which the upstream enterprises belong to add into the upstream enterprise set of the target enterprise, specifically
And traversing the upstream enterprise of the industry to which the upstream enterprise belongs, generating a random number of 0-100 for each upstream enterprise, and adding the corresponding upstream enterprise into the upstream enterprise set of the target enterprise if the random number is greater than a preset threshold value.
Furthermore, the method for acquiring the associated enterprise further comprises
S4, upstream enterprise screening step, namely:
further screening upstream enterprises in the upstream enterprise set of the target enterprise according to the geographic position and/or the willingness to migrate and/or the comparison requirement of the upstream enterprises, in particular to
Traversing all businesses within the upstream set of 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 does not have the willingness of moving the address, removing the enterprise; (c) if the business is significantly out of compliance with the comparison requirements, the business is removed.
Preferably, the comparison requirements include government recruiter requirements and/or strategic investment requirements of a marketing enterprise.
Further, the method for acquiring the associated enterprise further includes step S5, where the upstream enterprise ranking step is: reading upstream products corresponding to the upstream enterprises according to second prepositive data and sequencing the upstream enterprises in the upstream enterprise set according to the quantity of the upstream products corresponding to the upstream enterprises, specifically to sequence the upstream enterprises in the upstream enterprise set
(1) Traversing all enterprises in the upstream enterprise set, and for a given enterprise, reading products corresponding to the enterprise according to the second preposed data to count the number of the products corresponding to the enterprise;
(2) and sequencing the enterprises according to the quantity of the products.
In order to achieve the second object of the present invention, the technical solution adopted by the present invention is specifically as follows:
an enterprise-associated acquisition electronic device comprising
A data preparation device, the data preparation device comprising:
the second preposed data acquisition device is used for traversing the 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 enterprise is used as second preposed data;
the third preposed data acquisition device is used for traversing the products in the industry and determining the upstream product of each product so as to form a corresponding relation set of the products and the upstream products; the corresponding relation set of the product and the upstream product is used as third prepositive data;
an upstream enterprise acquisition device of a target enterprise, the upstream enterprise acquisition device of the target enterprise comprising:
the upstream product set acquisition device of the target enterprise is used for traversing each product of the target enterprise and acquiring an upstream product set of the target enterprise according to the third preposed data;
and the upstream enterprise set acquisition device of the target enterprise is used for traversing the upstream product set of the target enterprise and acquiring the upstream enterprise set of the target enterprise according to the second preposed data.
In order to achieve the third object of the present invention, the technical solution adopted by the present invention is specifically as follows:
a computer-readable storage medium on which an enterprise-related acquisition program is stored, the enterprise-related acquisition program implementing the enterprise-related acquisition method when executed by a processor.
In order to achieve the fourth object of the present invention, the technical solution adopted by the present invention is specifically as follows:
a terminal comprises a memory, a processor and an acquisition program of an associated enterprise, wherein the acquisition program of the associated enterprise is stored on 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.
Compared with the prior art, the invention has the beneficial effects that:
1. the method for acquiring the associated enterprise directly acquires the upstream product from the product of the target enterprise and then acquires the upstream enterprise list according to the upstream product, and compared with the existing method for recommending the upstream and downstream enterprise groups for the target enterprise, which can only perform enterprise search according to the upstream and downstream products divided by the HS coded commodity catalogue, the method for acquiring the associated enterprise effectively reduces the omission of the recommendation information of the upstream enterprise groups, can improve the completeness and the precision of the recommendation information, and meets the use requirements of users.
2. The method for acquiring the associated enterprises further comprises an upstream enterprise complement step, so that the completeness of the recommendation information of the upstream enterprise group can be further improved, and can reach more than 85%.
3. The method for acquiring the associated enterprises further comprises the step of screening the upstream enterprises, so that the accuracy of the recommendation information of the upstream enterprise group can be further improved, and the accuracy reaches 70%.
4. The method for acquiring the associated enterprises further comprises an upstream enterprise sequencing step, and can be used for helping the enterprises to preferentially select the corresponding upstream enterprises.
The present invention will be described in further detail with reference to the accompanying drawings and specific embodiments.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a preferred embodiment of the acquisition method for associated enterprises in the present invention.
Detailed Description
As shown in fig. 1, the method for acquiring an associated enterprise of the present invention includes the following steps:
s1, the data preparation step specifically includes the following steps:
s11, traversing the products in the industry, and determining the 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 enterprise is used as second preposed data;
s12, traversing products in the industry, and determining the upstream products of each product to form a corresponding relation set of the products and the upstream products; the corresponding relation set of the product and the upstream product is used as third prepositive data;
s2, the upstream enterprise obtaining step of the target enterprise specifically includes the following steps:
s21, traversing each product of the target enterprise, and acquiring an upstream product set of the target enterprise according to the third preposed data;
and S22, traversing the upstream product set of the target enterprise, and obtaining the upstream enterprise set of the target enterprise according to the second preposed data.
In order to improve the accuracy of the obtained second pre-positioned data and third pre-positioned data, as an improvement of this embodiment, a set of correspondence relationships between the products and the manufacturing enterprises is traversed, and the repeated correspondence relationships between the products and the manufacturing enterprises in the set are removed to serve as the second pre-positioned data; traversing the corresponding relation set of the products and the upstream products, and removing the repeated corresponding relation between the products and the upstream products in the set to be used as the third preposed data.
In order to further improve the accuracy of the obtained second preamble data and third preamble data, as a further improvement of the embodiment, the step S1 further includes a step S10 before S11, specifically as follows:
normalizing the names of products in the industry to form a product name normalization dictionary; the product name normalization dictionary serves as first prepositive data.
Specifically, 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.
In order to simplify the source and reduce the use cost, the source comprises key products and service guide catalogues of strategic emerging industries and product webpages of E-commerce platforms.
Specifically, the source of the corresponding relationship set of the product and the manufacturing enterprise is at least one of the operation range of the manufacturing enterprise, the product catalog book of the manufacturing enterprise, and the product catalog book of the industry.
Specifically, the source of the corresponding relationship set of the product and the upstream product is a production bill of materials of the product. The information of the production bill of materials includes, but is not limited to, a structural hierarchy of materials, a material number, a material name, a specification, a measurement unit, and a source type.
In order to further increase the completeness of the recommendation information of the upstream enterprise group, as an improvement of this embodiment, the method for acquiring the associated enterprise further includes
S3, the upstream enterprise complementing step, namely:
randomly selecting leading enterprises of the industries to which the upstream enterprises belong to add into the upstream enterprise set of the target enterprise, specifically
And traversing the upstream enterprise of the industry to which the upstream enterprise belongs, generating a random number of 0-100 for each upstream enterprise, and adding the corresponding upstream enterprise into the upstream enterprise set of the target enterprise if the random number is greater than a preset threshold value.
In order to further improve the accuracy of the recommendation information of the upstream enterprise group, so as to make the accuracy reach 80-90%, as an improvement of this embodiment, the method for acquiring the associated enterprise further includes
S4, upstream enterprise screening step, namely:
further screening upstream enterprises in the upstream enterprise set of the target enterprise according to the geographic position and/or the willingness to migrate and/or the comparison requirement of the upstream enterprises, in particular to
Traversing all businesses within the upstream set of 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 does not have the willingness of moving the address, removing the enterprise; (c) if the business is significantly less compatible with the comparison requirements, e.g., the business to which the business belongs is not a strategic investment requirement of the business of the government sponsor and/or the business being marketed, then the business is removed.
Further, in order to facilitate the enterprise to preferentially select the corresponding upstream enterprise, as a further improvement of the embodiment, the method for obtaining associated enterprises further includes step S5, where the upstream enterprise ranking step is: reading upstream products corresponding to the upstream enterprises according to second prepositive data and sequencing the upstream enterprises in the upstream enterprise set according to the quantity of the upstream products corresponding to the upstream enterprises, specifically to sequence the upstream enterprises in the upstream enterprise set
(1) Traversing all enterprises in the upstream enterprise set, and for a given enterprise, reading products corresponding to the enterprise according to the second preposed data to count the number of the products corresponding to the enterprise;
(2) and sequencing the enterprises according to the quantity of the products.
The following further describes a specific acquisition process of the related enterprise according to the present invention with reference to specific examples:
given the enterprise i, to determine whether the enterprise j is an upstream enterprise of the enterprise i, the "upstream score" Sj ═ alpha ═ upstream enterprise coefficient Qj + (1-alpha) × upstream product coefficient Pj — geographic distance coefficient Gj of the enterprise j is used. The idea of scoring is as follows: (a-1) first, consider the upstream and downstream relationships known to the two enterprises; (a-2) secondly, considering the product of the two enterprises to form a raw material supply relationship; (b) by taking the above two relationships into consideration,
wherein alpha is a real number greater than or equal to 0 and less than or equal to 1; the value of alpha is adjusted according to the requirement; for example, in a scene where demand comes from a government recruiter, the composition of an industrial chain is more emphasized, so the value of alpha is closer to 1; for another example, when the demand comes from the scenes of supply chain finance, strategic investment and the like, the trading relation of the product is more emphasized, so the value of alpha is closer to 0; (c) the impact of non-productivity is removed, specifically, geographical distance is taken into account.
An upstream business coefficient. Given n-1 enterprises, q1, …, q (i-1), q (i +1), …, qn is the 1 st, …, i-1, i +1, …, n is the upstream enterprise value for the given enterprise i, i.e., qj is the upstream enterprise value for enterprise i for the jth enterprise, with the value range being an integer greater than or equal to 0;
wherein qj takes the following values: given the aforementioned "upstream Business Collection" of Business i, the number of occurrences of Business j in this collection is qj.
The upstream business coefficient Qj of the jth business is Qj/(q1+ … + q (i-1) + q (i +1) + … + qn.) all Qj values are real numbers greater than or equal to 0 and less than or equal to 1, according to the formula.
(2) The upstream product factor. Given n-1 enterprises, p1, …, p (i-1), p (i +1), …, pn is 1, …, i-1, i +1, …, n is the upstream product value of the enterprise 1, …, i.e., pj is the upstream product value of the enterprise j for enterprise i, and the value range is an integer greater than or equal to 0;
wherein the values of pj are as follows:
given the aforementioned "product-upstream product correspondence set", all tuples (products from enterprise i, products from enterprise j) are traversed and counted. The counting result is pj.
The upstream product factor Pj of the jth business is Pj/(p1+ … + p (i-1) + p (i +1) + … + pn) all values of Pj are real numbers greater than or equal to 0 and less than or equal to 1, according to the formula.
A geographic distance coefficient. The distance between the enterprise j headquarters and the enterprise i headquarters is given, and the geographic distance coefficient Gj takes the following values: (a) the coefficient is 0.0, if the distance is 0-100 km; (b) the coefficient is 0.5, if the distance is 500 km; (c) the coefficient is 0.75 if the distance is more than 500 km.
And (4) sorting the n-1 enterprises from large to small according to the value of Sj, and outputting the sorted enterprises to obtain an upstream enterprise list of the given enterprise _ i.
The invention also discloses an acquisition electronic device of the associated enterprise, and the acquisition system of the associated enterprise comprises
A data preparation device, the data preparation device comprising:
the second preposed data acquisition device is used for traversing the 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 enterprise is used as second preposed data;
the third preposed data acquisition device is used for traversing the products in the industry and determining the upstream product of each product so as to form a corresponding relation set of the products and the upstream products; the corresponding relation set of the product and the upstream product is used as third prepositive data;
an upstream enterprise acquisition device of a target enterprise, the upstream enterprise acquisition device of the target enterprise comprising:
the upstream product set acquisition device of the target enterprise is used for traversing each product of the target enterprise and acquiring an upstream product set of the target enterprise according to the third preposed data;
and the upstream enterprise set acquisition device of the target enterprise is used for traversing the upstream product set of the target enterprise and acquiring the upstream enterprise set of the target enterprise according to the second preposed data.
The invention also discloses a computer readable storage medium, on which the acquisition program of the associated enterprise is stored, and the acquisition program of the associated enterprise realizes the acquisition method of the associated enterprise when being executed by a processor.
The invention also discloses a terminal which comprises a memory, a processor and an acquisition program of the associated enterprise, wherein the acquisition program of the associated enterprise is stored on the memory and can be operated 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 protection scope of the present invention is not limited thereby, and any insubstantial changes and substitutions made by those skilled in the art based on the present invention are within the protection scope of the present invention.
Claims (10)
1. An acquisition method of a related enterprise is characterized by comprising the following steps:
s1, the data preparation step specifically includes the following steps:
s11, traversing the products in the industry, and determining the 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 enterprise is used as second preposed data;
s12, traversing products in the industry, and determining the upstream products of each product to form a corresponding relation set of the products and the upstream products; the corresponding relation set of the product and the upstream product is used as third prepositive data;
s2, the upstream enterprise obtaining step of the target enterprise specifically includes the following steps:
s21, traversing each product of the target enterprise, and acquiring an upstream product set of the target enterprise according to the third preposed data;
and S22, traversing the upstream product set of the target enterprise, and obtaining the upstream enterprise set of the target enterprise according to the second preposed data.
2. The associated enterprise acquisition method according to claim 1, wherein the corresponding relation set of the product and the production enterprise is traversed, and the repeated corresponding relation of the product and the production enterprise in the set is removed to serve as the second pre-positioned data; traversing the corresponding relation set of the products and the upstream products, and removing the repeated corresponding relation between the products and the upstream products in the set to be used as the third preposed data.
3. The method for acquiring related enterprises as claimed in claim 1, wherein the step S1 further includes a step S10 before S11, specifically as follows:
normalizing the names of products in the industry to form a product name normalization dictionary; the product name normalization dictionary serves as first prepositive data.
4. The method for acquiring related enterprises according to claim 3, wherein the name normalization of the products 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.
5. The method according to claim 1, wherein the source of the product-to-manufacturing-enterprise correspondence set is at least one of a business scope of the manufacturing enterprise, a product catalog of the manufacturing enterprise, and a product catalog of an industry.
6. The method according to claim 1, wherein the source of the corresponding relationship set between the product and the upstream product is a production bill of materials of the product.
7. The method for acquiring related enterprises according to any one of claims 1 to 6, further comprising
S3, the upstream enterprise complementing step, namely:
randomly selecting leading enterprises of the industries to which the upstream enterprises belong to add into the upstream enterprise set of the target enterprise, specifically
Traversing the leading enterprises of the industries to which the upstream enterprises belong, generating a random number of 0-100 for each leading enterprise, and adding the corresponding leading enterprise into the upstream enterprise set of the target enterprise if the random number is greater than a preset threshold value;
alternatively, the first and second electrodes may be,
also comprises
S4, upstream enterprise screening step, namely:
further screening upstream enterprises in the upstream enterprise set of the target enterprise according to the geographic position and/or the willingness to migrate and/or the comparison requirement of the upstream enterprises, in particular to
Traversing all businesses within the upstream set of 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 does not have the willingness of moving the address, removing the enterprise; (c) if the enterprise obviously does not accord with the comparison requirement, removing the enterprise;
alternatively, the first and second electrodes may be,
further comprising S5, an upstream business ranking step, namely: reading upstream products corresponding to the upstream enterprises according to second prepositive data and sequencing the upstream enterprises in the upstream enterprise set according to the quantity of the upstream products corresponding to the upstream enterprises, specifically to sequence the upstream enterprises in the upstream enterprise set
(1) Traversing all enterprises in the upstream enterprise set, and for a given enterprise, reading products corresponding to the enterprise according to the second preposed data to count the number of the products corresponding to the enterprise;
(2) and sequencing the enterprises according to the quantity of the products.
8. An acquiring electronic device for an associated enterprise, comprising
A data preparation device, the data preparation device comprising:
the second preposed data acquisition device is used for traversing the 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 enterprise is used as second preposed data;
the third preposed data acquisition device is used for traversing the products in the industry and determining the upstream product of each product so as to form a corresponding relation set of the products and the upstream products; the corresponding relation set of the product and the upstream product is used as third prepositive data;
an upstream enterprise acquisition device of a target enterprise, the upstream enterprise acquisition device of the target enterprise comprising:
the upstream product set acquisition device of the target enterprise is used for traversing each product of the target enterprise and acquiring an upstream product set of the target enterprise according to the third preposed data;
and the upstream enterprise set acquisition device of the target enterprise is used for traversing the upstream product set of the target enterprise and acquiring the upstream enterprise set of the target enterprise according to the second preposed data.
9. A computer-readable storage medium characterized by: an enterprise-related acquisition program stored thereon, which when executed by a processor implements an enterprise-related acquisition method as claimed in any one of claims 1 to 7.
10. A terminal, characterized by: the system comprises a memory, a processor and an enterprise-related acquisition program which is stored on the memory and can run on the processor, wherein the processor realizes the enterprise-related acquisition method according to any one of claims 1 to 7 when executing the enterprise-related acquisition program.
Priority Applications (1)
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