CN113393221A - Enterprise ecological chain service pushing method and system based on online data - Google Patents
Enterprise ecological chain service pushing method and system based on online data Download PDFInfo
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
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Abstract
The invention discloses an enterprise ecological chain service pushing method and system based on online data, which comprises the following steps: s1, distributing and storing corresponding information of the party B in the library according to the pre-created service plate; wherein, the service plate comprises an intellectual property plate, an industrial and commercial property tax plate, an enterprise qualification plate, a product detection and qualification plate, a policy subsidy declaration plate and a financing loan plate; s2, acquiring and updating the current enterprise profile information of the accessed Party A; s3, constructing an enterprise growth tree GTr model according to the enterprise profile information; the GTr model of the enterprise growth tree correspondingly generates growth nodes according to the service plates; s4, performing node analysis on the current growing node of the enterprise growing tree; and S5, carrying out service push processing by combining the result information of the node association analysis and the service plate. The method and the system have the effect of more comprehensively providing service for the first-party client.
Description
Technical Field
The application relates to the technical field of enterprise service business pushing, in particular to an enterprise ecological chain service pushing method and system based on online data.
Background
An ecological chain in the traditional sense refers to a network of relationships that exist in nature. Similar to natural ecosystems, enterprise ecosystems can separate biological components and non-biological components, where biological components are made up of consumers, agents, and homogeneous groups of enterprises.
Patent publication No. CN110544048A discloses a business ecological chain platform, comprising: a platform login system: the system comprises a shareholder login module, an agent login module, a multi-merchant module, a distribution login module, a forum community login module and a consumer login module, wherein the forum community login module and the consumer login module are used for logging in participants of various platforms; a distribution system: for automated distribution of economic benefits to platform participants; the convenience service system comprises: the system is used for providing convenient information on work, life and the like for consumers; a value output system: a value output for bringing a commonality demand to the consumer; a community management system: establishing a community tribe according to the growth path of the consumer and based on the landmark, and using the community tribe for efficient and convenient interactive communication and resource information sharing among all groups; the convenience service system provides convenience information for consumers, attracts passenger flows to be gathered into groups, the community management system establishes community tribe locking passenger flows, the value output system outputs common value to the consumers to lock the passenger flows, and the distribution system changes the identities of various participants in the platform and generates the passenger flows through fission, so that users are provided for the platform continuously.
In view of the above related technologies, the inventor thinks that although it provides an ecological chain platform, it is deficient in assisting party b in serving, and is difficult to meet various requirements in the business development process of party a client, so this application proposes a new technical solution.
Disclosure of Invention
In order to provide services for the first-party client more comprehensively, the method and the system for pushing the enterprise ecological chain services based on the online data are provided.
In a first aspect, the present application provides an enterprise ecological chain service pushing method based on online data, which adopts the following technical scheme:
an enterprise ecological chain service pushing method based on online data comprises the following steps:
s1, distributing and storing corresponding information of the party B in the library according to the pre-created service plate; wherein, the service plate comprises an intellectual property plate, an industrial and commercial property tax plate, an enterprise qualification plate, a product detection and qualification plate, a policy subsidy declaration plate and a financing loan plate;
s2, acquiring and updating the current enterprise profile information of the accessed Party A;
s3, constructing an enterprise growth tree GTr model according to the enterprise profile information; the GTr model of the enterprise growth tree correspondingly generates growth nodes according to the service plates;
s4, performing node analysis on the current growing node of the enterprise growing tree;
and S5, carrying out service push processing by combining the result information of the node association analysis and the service plate.
Optionally, the obtaining manner of the enterprise profile information includes:
receiving basic filling information uploaded by the first party feedback; and the number of the first and second groups,
and searching the record of the business of the on-line corresponding service plate according to the basic filling information of the party A, and recording the record as a growth record.
Optionally, the constructing an enterprise spanning tree GTr model includes:
drawing a backbone by a time line according to the registration time of the enterprise;
taking the generation time of the growth record of the matters corresponding to the service plate as the position of the main node, and generating branches at the main node according to the time line of the growth record; and the number of the first and second groups,
generating sub-nodes on the branches according to the item change time of the growth record;
the main node and the sub-nodes are used as growth nodes, and the nodes are used for storing associated online information.
Optionally, the node analysis includes:
selecting a reference model corresponding to the GTr model of the enterprise growing tree from the model library according to a preselected standard; and the number of the first and second groups,
comparing the GTr model of the enterprise growing tree with the reference model to obtain node state information; the node state information includes finished node information, growing node information and inactive node information.
Optionally, the service pushing process includes:
identifying finishing node information of the GTr model of the enterprise growing tree, if the node has a deadline, identifying next updating time, and selecting a service plate block corresponding to the node and/or a plurality of second party information associated with the service plate block as push content at a pre-reminding time according with a threshold value;
wherein, a plurality of second party information associated with the service plate corresponding to the selection node includes: b party information of the same administrative region is found out according to the enterprise profile information as alternative information; and processing the alternative information by a matching algorithm to obtain a plurality of second party information.
Optionally, the service pushing process includes:
identifying the node information in the growth of the GTr model of the enterprise growth tree, and if the item corresponding to the node publishes the progress/announcement result on the network, acquiring the query website of the progress/result from the network information as the push content; and the number of the first and second groups,
and if the announcement result is identified as an incomplete item, selecting the service plate corresponding to the node and/or a plurality of second party information associated with the service plate as push content.
Optionally, the service pushing process includes:
and identifying the information of the inactivated nodes of the GTr model of the enterprise growing tree, and if the node is the next node of the finishing node or the growing node, selecting the service plate corresponding to the node and/or a plurality of second party information associated with the service plate as push content.
Optionally, the information of the second party in the library includes enterprise profile, contact information, contact address, business and quotation, service record and information of the customer condition of the first party; and the matching degree algorithm processing comprises SimHash algorithm processing according to the first-party client condition information.
In a second aspect, the present application provides an enterprise ecological chain service push system based on online data, which adopts the following technical scheme:
an enterprise ecological chain service push system based on online data comprises:
the service module comprises an intellectual property board, an industrial and commercial property tax board, an enterprise qualification plate, a product detection and qualification plate, a policy subsidy declaration board and a financing loan board, and is used for distributing and storing corresponding on-bank party B information;
the first party module is used for acquiring and updating the current enterprise profile information of the accessed first party;
the GTr model module is used for constructing an enterprise growth tree GTr model according to the enterprise profile information; and the number of the first and second groups,
and the pushing management module is used for carrying out node analysis on the current growing node of the enterprise growing tree and carrying out service pushing processing by combining the result information of the node correlation analysis and the service plate.
In summary, the present application includes at least one of the following beneficial technical effects:
1. b-party information is correspondingly distributed through the created service plate, a corresponding enterprise growth tree is generated according to the A-party information, and the current requirements of the enterprise are known through node analysis of the enterprise growth tree so as to push proper service plate information and/or B-party information, so that service is more comprehensively provided for the A-party client;
2. the method comprises the steps of selecting a proper parameter model, comparing an enterprise growing tree with a reference model, analyzing obtained node state information, identifying enterprise requirements by partitioning and classifying, determining a push service type, and further processing party B information by a matching degree algorithm to more accurately push a proper party B for a party A, so that the method can better provide service for a party A client.
Drawings
FIG. 1 is a flow chart of a method of the present application;
FIG. 2 is a schematic diagram of a service plate of the present application;
fig. 3 is a schematic structural diagram of the system of the present application.
Detailed Description
The present application is described in further detail below with reference to figures 1-3.
The embodiment of the application discloses an enterprise ecological chain service pushing method based on online data.
Referring to fig. 1 and 2, the online data-based enterprise ecological chain service push method includes:
and S1, distributing and storing the corresponding information of the party B in the library according to the pre-created service plate.
Wherein, the service plate is established on the holder and comprises an intellectual property plate, a commercial and industrial property tax plate, an enterprise qualification plate, a product detection and qualification plate, a policy subsidy declaration plate and a financing loan plate.
Each plate is refined again according to specific matters, specifically, if the intellectual property plate divides: operating trademarks, patent copyright, foreign intellectual property rights and intellectual property rights; the trademark is divided into: applying trademarks, changing, renewing, searching and monitoring, and filing customs. Other boards are similar according to actual services.
The specific sub items of each plate are respectively allocated to the second party with business service capability, namely the allocation to the second party. For this purpose, the party b information should include at least business profiles, contact addresses, business and quote and service records, for distribution, etc.; the information of the second party can be automatically uploaded to an information base by the second party providing the service.
And S2, acquiring and updating the current enterprise profile information of the accessed party A.
The acquisition of the enterprise general information comprises at least two parts, wherein one part is obtained by receiving basic filling information which is automatically filled and uploaded by a first party according to a provided form; and secondly, searching and searching the obtained basic information from each platform/open source database through the Internet, wherein the specific searched content is determined according to the service plate of the application except verifying and updating the content, namely the searched information is searched for the corresponding online record aiming at the service content and is recorded as a growth record.
And S3, constructing the GTr model of the enterprise growing tree according to the enterprise profile information. The GTr model of the enterprise growth tree correspondingly generates growth nodes according to the service plates.
Specifically, the method comprises the following steps:
drawing a backbone in a time line according to the registration time of an enterprise (Party A);
taking the generation time of the growth record of the matters (namely intellectual property rights and the like) corresponding to the service plate as the position of the main node, and generating branches at the main node according to the time line of the growth record; and the number of the first and second groups,
generating child nodes on the branches according to the item change time of the growth record.
The main nodes and the sub-nodes are used as growth nodes, the nodes are used for storing associated on-line information, if the main nodes are intellectual property rights, a time line is extended until a time node appears as a patent application sub-node; at the moment, a time line is extended from the child node, the time line specifically records the application records of each patent, corresponding branches are branched again, and each branch node and the like correspond to specific information of recorded items; by analogy, the growing trees of a plurality of enterprises with branches can be constructed. At this time, the development status of an enterprise can be judged according to the luxuriant degree of branches of the grown trees of the enterprise.
And S4, performing node analysis on the current growing node of the enterprise growing tree.
The analysis of the nodes includes:
and selecting a reference model corresponding to the GTr model of the enterprise growing tree from the model library according to a preselected standard, and comparing the GTr model of the enterprise growing tree with the reference model to obtain node state information.
Pre-selecting standard, selecting the same type of model, wherein the same type of model is defined as enterprise type (textile, software, intelligent equipment manufacturing and the like), enterprise scale (on-scale, off-scale and the like) … …; in addition to the above, it may be more specifically directed to administrative districts (city level) and the like. And a proper reference model is selected, so that the analysis accuracy can be improved, and the conversion rate of the pushed information is improved.
The reference model can be obtained by acquiring various types of sample enterprises from the market and converting the GTr model by related workers. With the use of the method, more and more samples are recorded, and clustering analysis can be carried out at the later stage, and more models can be updated or generated for comparison.
The obtained node state information comprises finishing node information, growing node information and inactive node information.
And S5, carrying out service push processing by combining the result information of the node association analysis and the service plate.
Specifically, the method comprises the following steps:
A. and identifying finish node information of the GTr model of the enterprise, if the node has a deadline, identifying next updating time, and selecting a service plate block corresponding to the node and/or a plurality of second party information associated with the service plate block as push content at a pre-reminding time meeting a threshold value, such as the first three deadline.
The service plate corresponding to the node, namely the corresponding service; such as with a brand service as a push message. The push mode is that according to the recorded party A contact telephone, the push message is sent by short message; or pushing the corresponding account through the internal message of the App.
The information of a plurality of parties associated with the service plate corresponding to the selection node comprises: b party information of the same administrative region (such as the city level) is found out according to the enterprise profile information as alternative information; and processing the alternative information by a matching algorithm to obtain a plurality of second party information.
For the processing of the alternative information, the conventional matching algorithm has big data analysis in which the second party with the first to the Nth service times is selected as the pushed choice. However, considering the services represented by the present application, after the services are actually applied, the test evaluation is relatively poor, so for the content targeted by the present application, when the information of the second party is collected, the condition information of the first party client is also required to be collected, that is, the basic condition requirements of the second party on the first party, such as the a service, which is a software enterprise, must have actual development capability rather than proxy operation; at this time, the matching algorithm processing includes performing SimHash algorithm processing according to the first-party customer condition information.
Regarding SimHash algorithm processing, it can be understood as dimension reduction processing, that is, mapping a high-dimensional feature vector to a low-dimensional feature vector, and determining whether the customer condition information of party A provided by party B is repeated or highly similar to the information of party A in the library through Hamming Distance of the two vectors to complete matching degree analysis; the above process includes word segmentation, hash, weighting, merging, and weft descending, and specific examples are as follows: text1, text2 provide the first party client condition information and the first party library information for the second party
from simhash import Simhash
def simhash_similarity(text1,text2):
a_simhash = Simhash(text1)
b_simhash = Simhash(text2)
print(a_simhash.value)
print(b_simhash.value)
max_hashbit=max(len(bin(a_simhash.value)),len(bin(b_simhash.value)))
print(max_hashbit)
Thereafter, Hamming distance processing is performed, i.e., the similarity result
print(similar)
text1.close()
text2.close()
B. Identifying the node information in the growth of the GTr model of the enterprise growth tree, and if the item corresponding to the node publishes the progress/announcement result on the network, acquiring the query website of the progress/result from the network information as the push content; and the number of the first and second groups,
and if the announcement result is identified as an incomplete item, selecting the service plate corresponding to the node and/or a plurality of second party information associated with the service plate as push content.
C. And identifying the information of the inactivated nodes of the GTr model of the enterprise growing tree, and if the node is the next node of the finishing node or the growing node, selecting the service plate corresponding to the node and/or a plurality of second party information associated with the service plate as push content.
According to the contents, when the first party is pushed to provide the required service, the second party which is more consistent with the enterprise is also pushed, and the contribution rate of the cooperation of the two parties is provided.
The embodiment of the application also discloses an enterprise ecological chain service pushing system based on the online data.
Referring to fig. 3, the online data-based enterprise ecological chain service push system includes:
the service module comprises an intellectual property board, an industrial and commercial property tax board, an enterprise qualification plate, a product detection and qualification plate, a policy subsidy declaration board and a financing loan board, and is used for distributing and storing corresponding on-bank party B information;
the first party module is used for acquiring and updating the current enterprise profile information of the accessed first party;
the GTr model module is used for constructing an enterprise growth tree GTr model according to the enterprise profile information; and the number of the first and second groups,
and the pushing management module is used for carrying out node analysis on the current growing node of the enterprise growing tree and carrying out service pushing processing by combining the result information of the node correlation analysis and the service plate.
The module of the system may be a module corresponding to a software program, or may be a hardware module for loading and executing the above contents, which is intended to implement the contents described in the method in the previous embodiment.
In summary, the present application has the following effects:
1. b-party information is correspondingly distributed through the created service plate, a corresponding enterprise growth tree is generated according to the A-party information, and the current requirements of the enterprise are known through node analysis of the enterprise growth tree so as to push proper service plate information and/or B-party information, so that service is more comprehensively provided for the A-party client;
2. the method comprises the steps of selecting a proper parameter model, comparing an enterprise growing tree with a reference model, analyzing obtained node state information, identifying enterprise requirements by partitioning and classifying, determining a push service type, and further processing party B information by a matching degree algorithm to more accurately push a proper party B for a party A, so that the method can better provide service for a party A client.
The above embodiments are preferred embodiments of the present application, and the protection scope of the present application is not limited by the above embodiments, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (9)
1. An enterprise ecological chain service pushing method based on online data is characterized by comprising the following steps:
s1, distributing and storing corresponding information of the party B in the library according to the pre-created service plate; wherein, the service plate comprises an intellectual property plate, an industrial and commercial property tax plate, an enterprise qualification plate, a product detection and qualification plate, a policy subsidy declaration plate and a financing loan plate;
s2, acquiring and updating the current enterprise profile information of the accessed Party A;
s3, constructing an enterprise growth tree GTr model according to the enterprise profile information; the GTr model of the enterprise growth tree correspondingly generates growth nodes according to the service plates;
s4, performing node analysis on the current growing node of the enterprise growing tree;
and S5, carrying out service push processing by combining the result information of the node association analysis and the service plate.
2. The method for pushing enterprise ecological chain service based on online data according to claim 1, wherein the manner of acquiring the enterprise profile information includes:
receiving basic filling information uploaded by the first party feedback; and the number of the first and second groups,
and searching the record of the business of the on-line corresponding service plate according to the basic filling information of the party A, and recording the record as a growth record.
3. The online-data-based enterprise ecological chain service pushing method according to claim 2, wherein the building of the enterprise growth tree GTr model comprises:
drawing a backbone by a time line according to the registration time of the enterprise;
taking the generation time of the growth record of the matters corresponding to the service plate as the position of the main node, and generating branches at the main node according to the time line of the growth record; and the number of the first and second groups,
generating sub-nodes on the branches according to the item change time of the growth record;
the main node and the sub-nodes are used as growth nodes, and the nodes are used for storing associated online information.
4. The online data-based enterprise ecological chain service pushing method according to claim 1, wherein the node analysis comprises:
selecting a reference model corresponding to the GTr model of the enterprise growing tree from the model library according to a preselected standard; and the number of the first and second groups,
comparing the GTr model of the enterprise growing tree with the reference model to obtain node state information; the node state information includes finished node information, growing node information and inactive node information.
5. The method for pushing the enterprise ecological chain service based on the online data according to the claim 4, wherein the service pushing process comprises: identifying finishing node information of the GTr model of the enterprise growing tree, if the node has a deadline, identifying next updating time, and selecting a service plate block corresponding to the node and/or a plurality of second party information associated with the service plate block as push content at a pre-reminding time according with a threshold value;
wherein, a plurality of second party information associated with the service plate corresponding to the selection node includes: b party information of the same administrative region is found out according to the enterprise profile information as alternative information; and processing the alternative information by a matching algorithm to obtain a plurality of second party information.
6. The method for pushing the enterprise ecological chain service based on the online data according to the claim 5, wherein the service pushing process comprises the following steps:
identifying the node information in the growth of the GTr model of the enterprise growth tree, and if the item corresponding to the node publishes the progress/announcement result on the network, acquiring the query website of the progress/result from the network information as the push content; and the number of the first and second groups,
and if the announcement result is identified as an incomplete item, selecting the service plate corresponding to the node and/or a plurality of second party information associated with the service plate as push content.
7. The method for pushing the enterprise ecological chain service based on the online data according to the claim 5, wherein the service pushing process comprises the following steps:
and identifying the information of the inactivated nodes of the GTr model of the enterprise growing tree, and if the node is the next node of the finishing node or the growing node, selecting the service plate corresponding to the node and/or a plurality of second party information associated with the service plate as push content.
8. The online data-based enterprise ecological chain service pushing method according to claim 5, characterized in that: the information of the second party in the database comprises enterprise brief introduction, contact information, contact addresses, business and quotation, service records and the information of the customer condition of the first party; and the matching degree algorithm processing comprises SimHash algorithm processing according to the first-party client condition information.
9. The utility model provides an enterprise ecological chain service push system based on online data which characterized in that includes:
the service module comprises an intellectual property board, an industrial and commercial property tax board, an enterprise qualification plate, a product detection and qualification plate, a policy subsidy declaration board and a financing loan board, and is used for distributing and storing corresponding on-bank party B information;
the first party module is used for acquiring and updating the current enterprise profile information of the accessed first party;
the GTr model module is used for constructing an enterprise growth tree GTr model according to the enterprise profile information; and the number of the first and second groups,
and the pushing management module is used for carrying out node analysis on the current growing node of the enterprise growing tree and carrying out service pushing processing by combining the result information of the node correlation analysis and the service plate.
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