CN111784408A - Service promotion method and service promotion system based on Internet big data - Google Patents
Service promotion method and service promotion system based on Internet big data Download PDFInfo
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Abstract
The application provides a service promotion method and a service promotion system based on internet big data, the method is applied to the service promotion system, the service promotion system comprises an enterprise cloud platform, an enterprise cloud APP and a government service platform which are mutually wirelessly connected, an enterprise cluster is recorded on the enterprise cloud platform, and the enterprise cluster comprises a plurality of enterprises; uploading data of the enterprise cloud APP to an enterprise cloud platform for backup; the method comprises the following steps: issuing at least one type of demand information in an enterprise cloud APP by issuing enterprises in the enterprise cluster, and uploading the demand information to an enterprise cloud platform; the enterprise cloud platform obtains at least one matched enterprise according to the at least one demand information; each matching enterprise is associated with one enterprise information, and the enterprise cloud platform sends at least one enterprise information to an enterprise cloud APP of a release enterprise; the method comprises the steps that an enterprise cloud APP obtains a target enterprise of a release enterprise; the government service platform acquires the determined cooperation information of the issuing enterprise and the target enterprise. Through the mode, the demander enterprise and the demander enterprise can be accurately matched, and the method is safer and more reliable.
Description
Technical Field
The application relates to the technical field of Internet promotion, in particular to a service promotion method and a service promotion system based on Internet big data.
Background
The enterprise cloud is a business cloud system specially applied to the business field, and enterprise internal systems such as CRM customer relationship management software, HR human resource management software, Database software and the like are specially designed for business companies. In the face of opportunities and challenges brought by enterprise service cross-over development and changeable environments, CIOs should be 'cloud' covered in a tent aiming at the pressure of enterprises in the aspects of cost and resource optimization, and agile and innovative IT is promoted to be established by successfully implementing IT infrastructure transformation. A typical corporate enterprise cloud computing should include IT services that are delivered dynamically to various subsidiaries and partners in the form of applications (software as a service), platform services (platform as a service), and infrastructure services (virtual infrastructure as a service).
The inventor of the application discovers in long-term research and development that regional enterprises are recorded in the existing enterprise cloud platform, but the classification of the enterprises is unclear, a large amount of calculation and storage are wasted in the platform in the process of accurately finding the enterprises with demands, and the association of the enterprises is mainly in the forms of personal recommendation, sales visit and the like.
Disclosure of Invention
In order to overcome the defects, the application provides a service promotion method and a service promotion system based on internet big data.
In order to solve the technical problem, the application adopts a technical scheme that: the service promotion method based on the internet big data is applied to a service promotion system based on the internet big data, wherein the service promotion system comprises an enterprise cloud platform, an enterprise cloud APP and a government service platform which are mutually wirelessly connected, an enterprise cluster is recorded on the enterprise cloud platform, and the enterprise cluster comprises a plurality of enterprises; uploading the data of the enterprise cloud APP to the enterprise cloud platform backup; the method comprises the following steps:
issuing at least one type of demand information in the enterprise cloud APP by issuing enterprises in the enterprise cluster, and uploading the demand information to the enterprise cloud platform;
the enterprise cloud platform obtains at least one matched enterprise according to at least one type of demand information;
each matching enterprise is associated with one enterprise information, and the enterprise cloud platform sends at least one enterprise information to the enterprise cloud APP of the issuing enterprise;
the enterprise cloud APP acquires a target enterprise of the release enterprise;
the government service platform supervises the issuing enterprise and the target enterprise to determine cooperation information.
In an embodiment, the step of obtaining, by the enterprise cloud platform, at least one matching enterprise according to at least one piece of requirement information includes:
the enterprise cloud platform analyzes at least one type of demand information, and performs screening, matching and positioning in the enterprise cluster to obtain at least one matching enterprise;
the step of sending at least one piece of enterprise information to the enterprise cloud APP of the release enterprise by the enterprise cloud platform comprises:
the enterprise cloud platform sorts at least one matching enterprise to obtain at least one piece of enterprise information after sorting;
the enterprise cloud platform sends at least one piece of sequenced enterprise information to the enterprise cloud APP of the issuing enterprise;
the step of the government service platform supervising the issuing enterprise and the target enterprise to determine the cooperation information comprises the following steps:
and the government service platform sends the safety and credit information of the target enterprise and the issuing enterprise to the enterprise cloud APP related to the issuing enterprise and the target enterprise through the enterprise cloud platform.
In a specific embodiment, the enterprise cluster includes enterprise cluster information in a text form, and the enterprise cluster information includes at least one of enterprise basic information, an enterprise location, enterprise business content, and enterprise product information.
In a specific embodiment, the step of analyzing, by the enterprise cloud platform, at least one of the demand information includes:
the enterprise cloud platform calls at least one type of enterprise cluster information of the enterprise clusters in a preset area;
the enterprise cloud platform makes at least one kind of demand information into a text, and performs qualitative analysis on keywords;
the enterprise cloud platform compares at least one type of enterprise cluster information with at least one type of demand information, and proofreads and screens the keywords in the text content;
the enterprise cloud platform selects at least one sample enterprise in the enterprise cluster according to the screening condition of the keyword;
the enterprise cloud platform combines the qualitative analysis content of the keywords to call success case information and case success rate of at least one sample enterprise;
and the enterprise cloud platform generates at least one arrangement catalog of the target enterprise according to the keyword screening comparison proportion and the case success rate.
In a specific embodiment, the step of performing collation and screening on the keywords in the text content includes:
calling a basic information record and an enterprise case record in the enterprise cluster from the enterprise cloud platform;
and carrying out double retrieval and analysis in the basic information record and the enterprise case record to obtain an accurate comparison vocabulary.
In a specific embodiment, wherein the size of the enterprise cluster is positively correlated with the regulatory domain of the government service platform.
In a specific embodiment, the step of the government service platform supervising the issuing enterprise and the target enterprise to determine the cooperation information includes:
and the docking case information of the issuing enterprise and the target enterprise is recorded and stored on the enterprise cloud platform and is monitored through the government service platform.
In a specific embodiment, the data of the enterprise cloud APP is uploaded to the enterprise cloud platform for backup according to a preset period.
In a specific embodiment, at least one of the requirement information includes first requirement information and second requirement information, the first requirement information is used for seeking the enterprise to solve the technical problem, and the second requirement information is used for seeking the client of the product requirement enterprise.
In order to solve the above technical problem, another technical solution adopted by the present application is: the service promotion system based on the internet big data is provided, wherein the service promotion system comprises an enterprise cloud platform, an enterprise cloud APP and a government service platform which are wirelessly connected with each other, an enterprise cluster is recorded on the enterprise cloud platform, and the enterprise cluster comprises a plurality of enterprises; and uploading the data of the enterprise cloud APP to the enterprise cloud platform backup.
The invention has the advantages that: the application provides a service promotion method and a service promotion system based on internet big data, the service promotion method is applied to the service promotion system based on the internet big data, the service promotion system comprises an enterprise cloud platform, an enterprise cloud APP and a government service platform which are in wireless connection with each other, an enterprise cluster is recorded on the enterprise cloud platform, and the enterprise cluster comprises a plurality of enterprises; uploading data of the enterprise cloud APP to an enterprise cloud platform for backup; the method comprises the following steps: issuing at least one type of demand information in an enterprise cloud APP by issuing enterprises in the enterprise cluster, and uploading the demand information to an enterprise cloud platform; the enterprise cloud platform obtains at least one matched enterprise according to the at least one demand information; each matching enterprise is associated with one enterprise information, and the enterprise cloud platform sends at least one enterprise information to an enterprise cloud APP of a release enterprise; the method comprises the steps that an enterprise cloud APP obtains a target enterprise of a release enterprise; the government service platform acquires the determined cooperation information of the issuing enterprise and the target enterprise. Through the cluster of receiving and recording the enterprise in enterprise cloud platform inside, the issuing enterprise can be matchd fast through enterprise cloud platform, obtain the matching enterprise according to demand information in the time of the matching, the enterprise information routing who will match the enterprise again to the enterprise cloud APP of issuing the enterprise, can obtain the definite information of target enterprise through the selection of issuing the enterprise, in the in-process of the definite cooperation of issuing enterprise and target enterprise, supervise by government platform, guide former fuzzy matching into the form of carrying out accurate analysis matching based on demand information, and is safer, and more reliable, the problem that demander enterprise and request enterprise can not be matched accurately among the prior art has been solved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the application, the drawings that are needed to be used in the description of the embodiments are briefly introduced below, it is obvious that the drawings in the following description are only some embodiments of the application, and other drawings can be obtained by those skilled in the art without inventive efforts, wherein:
fig. 1 is a schematic flowchart of an embodiment of a service promotion method based on internet big data according to the present application;
FIG. 2 is a schematic structural diagram of an embodiment of a service promotion system based on Internet big data according to the present application;
fig. 3 is a schematic flowchart of another embodiment of a service promotion method based on internet big data according to the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any inventive step based on the embodiments in the present application, are within the scope of protection of the present application.
It should be noted that the technical solutions in the embodiments may be combined with each other, but must be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, such a combination of the technical solutions should not be considered to exist, and is not within the protection scope of the present application.
Referring to fig. 1 and fig. 2, fig. 1 is a schematic flowchart illustrating an embodiment of a service promotion method based on internet big data according to the present application, and fig. 2 is a schematic structural diagram illustrating an embodiment of a service promotion system based on internet big data according to the present application. The service promotion method is applied to a service promotion system 100 based on internet big data, the service promotion system 100 comprises an enterprise cloud platform 1, an enterprise cloud APP2 and a government service platform 3 which are in wireless connection with one another, and data and signal transmission can be carried out among the enterprise cloud platform 1, the enterprise cloud APP2 and the government service platform 3, for example, safe issuing, credit uploading and the like. The enterprise cloud platform 1 includes enterprise clusters, each enterprise cluster includes a plurality of enterprises, the plurality of enterprises can be divided according to areas in the enterprise clusters, and screening according to position information among the enterprises is facilitated. Data between enterprise cloud APP2 and the enterprise cloud 1 platform can be mutually transmitted for backup, the data of enterprise cloud APP2 is uploaded to the enterprise cloud platform 1 for backup, and the enterprise cloud platform 1 can be downloaded to the enterprise cloud APP 2. The method disclosed by the embodiment comprises the following steps:
and S11, the issuing enterprise in the enterprise cluster issues at least one kind of demand information in the enterprise cloud APP and uploads the demand information to the enterprise cloud platform.
When a publishing enterprise in the enterprise cluster searches a target enterprise, at least one kind of demand information can be published in the enterprise cloud APP, and the at least one kind of demand information is uploaded to the enterprise cloud platform. The demand information may be a question, a technology, a product, a factory building, a sale, etc.
And S12, the enterprise cloud platform obtains at least one matching enterprise according to the at least one requirement information.
The enterprise cloud platform stores an enterprise cluster comprising a plurality of enterprises, so that when at least one demand information is obtained, searching can be carried out in the enterprise cloud platform to obtain at least one matched enterprise.
And S13, associating one enterprise information with each matching enterprise, and sending at least one enterprise information to the enterprise cloud APP of the issuing enterprise by the enterprise cloud platform.
When the enterprise cloud platform is used for storing enterprises, associated enterprise information is correspondingly arranged, and when the enterprise cloud platform obtains at least one matched enterprise, the corresponding enterprise information related to the matched enterprise is sent to the enterprise cloud APP of the issuing enterprise, so that the issuing enterprise can conveniently know.
And S14, acquiring the target enterprise of the publishing enterprise by the enterprise cloud APP.
The staff of the issuing enterprise compares and screens at least one enterprise information obtained by the cloud APP of the enterprise, so that the target enterprise is selected, and the cloud APP of the enterprise obtains the confirmation information of the target enterprise of the issuing enterprise.
And S15, acquiring the cooperation determining information of the issuing enterprise and the target enterprise by the government service platform.
The government service platform plays a role in supervision in cooperation between enterprises, monitors the safety and credit problems of the enterprises when information interaction is carried out between at least two enterprises, acquires, records and releases the determined cooperation information of the enterprises and target enterprises, and serves as a successful service promotion case.
The application provides a service promotion method based on internet big data, which is applied to a service promotion system based on the internet big data, wherein the service promotion system comprises an enterprise cloud platform, an enterprise cloud APP and a government service platform which are in wireless connection with each other, an enterprise cluster is recorded on the enterprise cloud platform, and the enterprise cluster comprises a plurality of enterprises. And uploading the data of the enterprise cloud APP to an enterprise cloud platform for backup. The method comprises the following steps: and issuing at least one type of demand information in the enterprise cloud APP by issuing enterprises in the enterprise cluster, and uploading the demand information to the enterprise cloud platform. And the enterprise cloud platform obtains at least one matching enterprise according to the at least one demand information. Each matching enterprise is associated with one enterprise information, and the enterprise cloud platform sends at least one enterprise information to the enterprise cloud APP of the issuing enterprise. The enterprise cloud APP obtains target enterprises of the issuing enterprises. The government service platform acquires the determined cooperation information of the issuing enterprise and the target enterprise. Through the enterprise cluster that is received and recorded in enterprise cloud platform inside, the issuing enterprise can be through enterprise cloud platform can the quick matching, obtains the matching enterprise according to demand information in the time of the matching, and the enterprise information transmission who will match the enterprise again to the enterprise cloud APP of issuing the enterprise, can obtain the definite information of target enterprise through the selection of issuing the enterprise, and at the in-process of the definite cooperation of issuing enterprise and target enterprise, supervise by the government platform, it is safer, reliable.
On the basis of the foregoing embodiments, please refer to fig. 3, and fig. 3 is a schematic flowchart of another embodiment of a service promotion method based on internet big data according to the present application. The method disclosed by the embodiment comprises the following steps:
and S21, the issuing enterprise in the enterprise cluster issues at least one kind of demand information in the enterprise cloud APP and uploads the demand information to the enterprise cloud platform.
The enterprise cluster may also include enterprise cluster information in text form, for example, the enterprise cluster information may include at least one of enterprise basic information, enterprise location, enterprise business content, enterprise product information. In this embodiment, the enterprise cluster information may be stored on the enterprise cloud platform in the form of text information.
The size of the enterprise cluster is positively correlated with the management range of the government service platform. In particular, the enterprise cluster can shrink or expand according to the management range of the government service platform, and the larger the management range of the government service platform is, the larger the enterprise cluster is, and the more enterprises are in the enterprise cluster. With enterprise cluster modularization, the release enterprise can filter the enterprise that corresponds regional module through enterprise cloud APP according to cost or activity region.
The data of the enterprise cloud APP is uploaded to the enterprise cloud platform backup according to a preset period, for example, the uploading of the data to the enterprise cloud platform backup in the preset period may be performed once every hour, once every day, and once every week. In this embodiment, the data of the enterprise cloud APP is uploaded to the enterprise cloud platform in real time for backup.
And S22, the enterprise cloud platform analyzes the at least one type of demand information, and performs screening, matching and positioning in the enterprise cluster to obtain at least one matching enterprise.
The at least one requirement information includes first requirement information for seeking the enterprise to solve the technical problem and second requirement information for seeking the customer of the product requirement enterprise. The issuing enterprise can issue first demand information to issue problems according to needs, issue second demand information to issue products, and technology docking enterprises and product docking enterprises of real demand products, which can solve the problems, can be screened out corresponding to different demand information.
In a specific embodiment, when the enterprise cloud platform analyzes the requirement information, steps S221 to S226 may be included.
S221, the enterprise cloud platform calls at least one enterprise cluster information of the enterprise clusters in the preset area.
After receiving the two kinds of demand information, the enterprise cloud platform may invoke at least one kind of information of the enterprise cluster in the preset area, for example, various kinds of information of the enterprise cluster are to be invoked in this embodiment.
In a specific embodiment, the enterprise cloud platform may include information such as enterprise information listing, enterprise location positioning, and enterprise business classification.
S222, the enterprise cloud platform makes at least one type of demand information into a text and carries out qualitative analysis on the keywords.
When the issuing enterprise issues the demand information, the demand information can be issued in the forms of voice, image, text, video and the like, so that when the enterprise cloud platform acquires at least one kind of demand information, the demand information is converted into text, for example, the voice demand information is subjected to voice-to-text processing, the demand information of the image is subjected to word processing on the image, and the voice demand information of the video is subjected to voice-to-word processing and image extraction word processing. And after the textual demand information is obtained, performing qualitative analysis on the keywords.
And S223, the enterprise cloud platform compares the at least one enterprise cluster information with the at least one requirement information, and checks and screens the keywords in the text content. In this embodiment, various types of information enterprise cluster information may be compared with two types of demand information, and corresponding checking and screening processing of keywords is performed in text content.
And calling a basic information record and an enterprise case record in the enterprise cluster in the enterprise cloud platform. And carrying out double retrieval and analysis in the basic information record and the enterprise case record to obtain accurate comparison words. Specifically, during the checking of the keywords, a basic information record and an enterprise case record of the text property of the enterprise need to be called, and after double retrieval and analysis, an accurate comparison vocabulary is finally selected.
S224, the enterprise cloud platform selects at least one sample enterprise in the enterprise cluster according to the screening condition of the keywords.
And S225, the enterprise cloud platform combines the qualitative analysis content of the keywords to call the success case information and the case success rate of at least one sample enterprise.
S226, the enterprise cloud platform generates at least one arrangement catalog of the target enterprise according to the keyword screening comparison proportion and the case success rate.
And S23, associating one enterprise information with each matching enterprise, and sending at least one enterprise information to the enterprise cloud APP of the issuing enterprise by the enterprise cloud platform.
And the enterprise cloud platform sorts at least one matched enterprise to obtain at least one piece of enterprise information after sorting. For example, the ranking may be according to preset priority conditions, and the priority conditions may be price, number of people, location, success case information including preset conditions, case success rate, and the like.
And the enterprise cloud platform sends the sequenced at least one enterprise information to an enterprise cloud APP of the issuing enterprise. The issuing enterprise can perform comprehensive evaluation on the enterprise cloud APP, and select the determined target enterprise.
And S24, the government service platform sends the safety and credit information of the target enterprise and the issuing enterprise to the enterprise cloud APP related to the issuing enterprise and the target enterprise through the enterprise cloud platform.
When the determined target enterprise is selected, the safety and credit information of the target enterprise can be fed back to the enterprises of the two parties through the government service platform, so that the cooperation can be determined only after the two parties confirm the safety and credit information.
And S25, acquiring the target enterprise of the publishing enterprise by the enterprise cloud APP.
The staff of the issuing enterprise compares and screens at least one enterprise information obtained by the cloud APP of the enterprise, so that the target enterprise is selected, and the cloud APP of the enterprise obtains the confirmation information of the target enterprise of the issuing enterprise. In this embodiment, the issuing enterprise and the target enterprise on the screened ranking directory may perform double-selection confirmation to obtain accurate positioning requirement information.
And S26, acquiring the cooperation determining information of the issuing enterprise and the target enterprise by the government service platform.
And issuing the information of the butting cases of the enterprise and the target enterprise, recording and storing the information on the enterprise cloud platform, and monitoring the information through a government service platform. In this embodiment, the information of the docking cases of the publishing enterprise and the target enterprise may be gradually recorded and stored on the enterprise cloud platform, and may be stored by using a block chain technology and monitored by the government service platform.
In one embodiment, when the publishing enterprise seeks technical breakthrough of the product to publish the first requirement information:
issuing enterprises in the enterprise cluster issue first requirement information on the enterprise cloud APP according to needs, wherein the first requirement information is used for seeking the enterprises to solve the technical problem.
The method comprises the steps that text information of first requirement information is uploaded to an enterprise cloud platform, the enterprise cloud platform analyzes basic information of the first requirement information, the basic information includes fields, product types and technical feature elements related to the first requirement information, and classification, sequential screening, matching and positioning are conducted on the same fields, types and features of the collected enterprise cluster through comparison.
And in the enterprise cloud platform, the first requirement information of the issuing enterprise is subjected to textualization, and the qualitative analysis of the keywords is performed. Comparing at least one type of enterprise cluster information with the requirement of the first requirement information, and correspondingly checking and screening the keywords in the text content, wherein the checking and screening comprises checking the characteristic words, screening sample enterprises and the like. And selecting sample enterprises in the enterprise cluster according to the corresponding screening condition of the keyword content to form a sample enterprise case success case. And (4) calling all success case information of the sample enterprise by combining the qualitative analysis content of the keywords. And finally, generating the arrangement catalog of the target enterprise according to the keyword screening comparison proportion and the success rate of all cases of the enterprise.
And finally, performing specified sequencing on the generated matching enterprises, feeding back the information of the sequenced matching enterprises to the issuing enterprise through the enterprise cloud APP communicated with the enterprise cloud platform, performing comprehensive evaluation on the issuing enterprise, and selecting the determined target enterprise.
When the determined target enterprise is selected, the safety and credit information of the target enterprise can be fed back to the two enterprises through the government service platform, and finally, cooperation is determined mutually.
In one embodiment, when the second demand information of the publishing enterprise seeks customers of the product demand enterprise:
and issuing the second requirement information by the issuing enterprise in the enterprise cluster at the enterprise cloud APP according to the requirement, wherein the second requirement information seeks the application enterprise.
And uploading the text information of the second requirement information to an enterprise cloud platform, analyzing the basic information of the released product by the enterprise cloud platform, analyzing the field, the product type, the technical characteristic elements and the product application related to the second requirement information, classifying and sequentially screening, matching and positioning the same field, type and characteristic of the collected enterprise cluster, and expecting to obtain the situation which is exactly suitable for the current requirement of the enterprise of the other party.
In the enterprise cloud platform, second requirement information of an enterprise is published for textualization, and qualitative analysis of keywords is performed, such as areas related to the product, such as the field, the product type, the technical characteristic elements and the product application. At this time, information modularization filling of the second requirement information can be carried out on the enterprise cloud platform, namely, the information modularization filling is divided into text information of module areas such as a background, a technical field, a problem solving area and a product status. And comparing at least one type of enterprise cluster information with the second requirement information in a regional mode one by one, and correspondingly checking and screening the keywords of the relevant regional positions in the text content. And selecting sample enterprises in the enterprise cluster according to the screening condition corresponding to the keyword content. And (4) calling all success case information of the sample enterprise by combining the qualitative analysis content of the keywords. And finally, generating the arrangement catalog of the target enterprise according to the keyword screening comparison proportion and the success rate of all cases of the enterprise.
And finally, performing specified sequencing on the generated matching enterprises, feeding back the information of the sequenced matching enterprises to the issuing enterprise through the enterprise cloud APP communicated with the enterprise cloud platform, performing comprehensive evaluation on the issuing enterprise, and selecting the determined target enterprise.
When the determined target enterprise is selected, the safety and credit information of the target enterprise can be fed back to the two enterprises through the government service platform, and finally, cooperation is determined mutually.
The application provides a service promotion method based on internet big data, which is applied to a service promotion system based on the internet big data, wherein the service promotion system comprises an enterprise cloud platform, an enterprise cloud APP and a government service platform which are in wireless connection with each other, an enterprise cluster is recorded on the enterprise cloud platform, and the enterprise cluster comprises a plurality of enterprises. And uploading the data of the enterprise cloud APP to an enterprise cloud platform for backup. The method comprises the following steps: and issuing at least one type of demand information in the enterprise cloud APP by issuing enterprises in the enterprise cluster, and uploading the demand information to the enterprise cloud platform. And the enterprise cloud platform obtains at least one matching enterprise according to the at least one demand information. Each matching enterprise is associated with one enterprise information, and the enterprise cloud platform sends at least one enterprise information to the enterprise cloud APP of the issuing enterprise. The enterprise cloud APP obtains target enterprises of the issuing enterprises. The government service platform acquires the determined cooperation information of the issuing enterprise and the target enterprise. Through the enterprise cluster that is received and recorded in enterprise cloud platform inside, the issuing enterprise can be through enterprise cloud platform can the quick matching, obtains the matching enterprise according to demand information in the time of the matching, and the enterprise information transmission who will match the enterprise again to the enterprise cloud APP of issuing the enterprise, can obtain the definite information of target enterprise through the selection of issuing the enterprise, and at the in-process of the definite cooperation of issuing enterprise and target enterprise, supervise by the government platform, it is safer, reliable. The enterprise cloud platform comprises an enterprise cluster of regional enterprises, product promotion and technical requirements of a certain enterprise, can be matched quickly through the platform, is based on a case of technical solution of a target company and the product requirements of the target company during matching, records the process of the case on the platform, and searches for matching if the region cannot be matched with the case. The platform can be used for fast matching, when in matching, based on the cases solved by the target company and the product requirements of the target company, basic information and case information are analyzed through big data, keywords are compared, and target enterprises are generated and arranged according to the quantity and the success rate for selection of issuing enterprises.
On the basis of the foregoing embodiments, the present application provides an internet big data-based service promotion system, a schematic structural diagram of the service promotion system 100 is shown in fig. 2, the service promotion system 100 includes an enterprise cloud platform 1, an enterprise cloud APP2 and a government service platform 3 that are wirelessly connected to each other, an enterprise cluster is included on the enterprise cloud platform 1, and the enterprise cluster includes a plurality of enterprises. And uploading the data of the enterprise cloud APP2 to the enterprise cloud platform 1 for backup.
The service promotion system 100 can implement the service promotion method in the above embodiment, the service promotion system 100 includes the enterprise cloud platform 1, the enterprise cloud APP2 and the government service platform 3 that are wirelessly connected with each other, and data and signal transmission, such as secure delivery, credit upload and the like, can be performed between the enterprise cloud platform 1, the enterprise cloud APP2 and the government service platform 3. The enterprise cloud platform 1 includes enterprise clusters, each enterprise cluster includes a plurality of enterprises, the plurality of enterprises can be divided according to areas in the enterprise clusters, and screening according to position information among the enterprises is facilitated. Data between enterprise cloud APP2 and enterprise cloud platform 1 can be transmitted mutually and backed up, and enterprise cloud APP 2's data upload to enterprise cloud platform 1 backup, and enterprise cloud platform 1 can download to enterprise cloud APP2 in. The detailed description of the embodiments is omitted here.
The application provides a service promotion system 100 based on internet big data, which can accurately match an demander enterprise and a demander enterprise and is safer and more reliable.
In the several embodiments provided in the present application, it should be understood that the system, apparatus and method disclosed in the present application can be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, the division of the modules or units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The embodiments of the present application have been described in detail, but the description is only for the preferred embodiments of the present application and should not be construed as limiting the scope of the application. All equivalent changes and modifications made within the scope of the present application shall fall within the scope of the present application.
Claims (10)
1. A service promotion method based on Internet big data is applied to a service promotion system based on Internet big data, and is characterized in that the service promotion system comprises an enterprise cloud platform, an enterprise cloud APP and a government service platform which are wirelessly connected with each other, an enterprise cluster is recorded on the enterprise cloud platform and comprises a plurality of enterprises; uploading the data of the enterprise cloud APP to the enterprise cloud platform backup; the method comprises the following steps:
issuing at least one type of demand information in the enterprise cloud APP by issuing enterprises in the enterprise cluster, and uploading the demand information to the enterprise cloud platform;
the enterprise cloud platform obtains at least one matched enterprise according to at least one type of demand information;
each matching enterprise is associated with one enterprise information, and the enterprise cloud platform sends at least one enterprise information to the enterprise cloud APP of the issuing enterprise;
the enterprise cloud APP acquires a target enterprise of the release enterprise;
the government service platform supervises the issuing enterprise and the target enterprise to determine cooperation information.
2. The service promotion method according to claim 1, wherein the step of the enterprise cloud platform obtaining at least one matching enterprise according to at least one of the demand information comprises:
the enterprise cloud platform analyzes at least one type of demand information, and performs screening, matching and positioning in the enterprise cluster to obtain at least one matching enterprise;
the step of sending at least one piece of enterprise information to the enterprise cloud APP of the release enterprise by the enterprise cloud platform comprises:
the enterprise cloud platform sorts at least one matching enterprise to obtain at least one piece of enterprise information after sorting;
the enterprise cloud platform sends at least one piece of sequenced enterprise information to the enterprise cloud APP of the issuing enterprise;
the step of the government service platform supervising the issuing enterprise and the target enterprise to determine the cooperation information comprises the following steps:
and the government service platform sends the safety and credit information of the target enterprise and the issuing enterprise to the enterprise cloud APP related to the issuing enterprise and the target enterprise through the enterprise cloud platform.
3. The service promotion method of claim 2, wherein the enterprise cluster includes enterprise cluster information in text form, and the enterprise cluster information includes at least one of enterprise basic information, enterprise location, enterprise business content, and enterprise product information.
4. The service promotion method according to claim 2, wherein the step of analyzing at least one of the demand information by the enterprise cloud platform comprises:
the enterprise cloud platform calls at least one type of enterprise cluster information of the enterprise clusters in a preset area;
the enterprise cloud platform makes at least one kind of demand information into a text, and performs qualitative analysis on keywords;
the enterprise cloud platform compares at least one type of enterprise cluster information with at least one type of demand information, and proofreads and screens the keywords in the text content;
the enterprise cloud platform selects at least one sample enterprise in the enterprise cluster according to the screening condition of the keyword;
the enterprise cloud platform combines the qualitative analysis content of the keywords to call success case information and case success rate of at least one sample enterprise;
and the enterprise cloud platform generates at least one arrangement catalog of the target enterprise according to the keyword screening comparison proportion and the case success rate.
5. The service promotion method of claim 4, wherein the step of performing collation and filtering on the keywords in the text content comprises:
calling a basic information record and an enterprise case record in the enterprise cluster from the enterprise cloud platform;
and carrying out double retrieval and analysis in the basic information record and the enterprise case record to obtain an accurate comparison vocabulary.
6. The service promotion method of claim 1, wherein the size of the enterprise cluster is positively correlated to the regulatory domain of the government service platform.
7. The service promotion method of claim 1, wherein the step of the government service platform supervising the issuing enterprise and the target enterprise to determine collaboration information comprises:
and the docking case information of the issuing enterprise and the target enterprise is recorded and stored on the enterprise cloud platform and is monitored through the government service platform.
8. The service promotion method of claim 1, wherein the data of the enterprise cloud APP is uploaded to the enterprise cloud platform backup according to a preset period.
9. The service promotion method according to claim 1, wherein at least one of the demand information includes first demand information for seeking a company to solve a technical problem and second demand information for seeking a customer of a product demand company.
10. The service promotion system based on the internet big data is characterized by comprising an enterprise cloud platform, an enterprise cloud APP and a government service platform which are wirelessly connected with each other, wherein an enterprise cluster is recorded on the enterprise cloud platform and comprises a plurality of enterprises; and uploading the data of the enterprise cloud APP to the enterprise cloud platform backup.
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| CN202010667812.7A CN111784408A (en) | 2020-07-13 | 2020-07-13 | Service promotion method and service promotion system based on Internet big data |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112527965A (en) * | 2020-12-18 | 2021-03-19 | 国家电网有限公司客户服务中心 | Automatic question answering implementation method and device based on combination of professional library and chatting library |
| CN113256385A (en) * | 2021-06-03 | 2021-08-13 | 北京德风新征程科技有限公司 | Big data industry internet popularization system |
| CN114926222A (en) * | 2022-06-06 | 2022-08-19 | 山东浪潮爱购云链信息科技有限公司 | Core enterprise popularization method, device and medium |
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2020
- 2020-07-13 CN CN202010667812.7A patent/CN111784408A/en not_active Withdrawn
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112527965A (en) * | 2020-12-18 | 2021-03-19 | 国家电网有限公司客户服务中心 | Automatic question answering implementation method and device based on combination of professional library and chatting library |
| CN113256385A (en) * | 2021-06-03 | 2021-08-13 | 北京德风新征程科技有限公司 | Big data industry internet popularization system |
| CN114926222A (en) * | 2022-06-06 | 2022-08-19 | 山东浪潮爱购云链信息科技有限公司 | Core enterprise popularization method, device and medium |
| CN114926222B (en) * | 2022-06-06 | 2024-05-10 | 山东浪潮爱购云链信息科技有限公司 | Popularization method, equipment and medium for core enterprises |
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Application publication date: 20201016 |