CN116244511A - Policy pushing method and device and computer equipment - Google Patents
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Abstract
The invention discloses a policy pushing method, a policy pushing device and computer equipment. The method comprises the following steps: constructing a policy information base, adding a corresponding policy tag to each policy, and generating a corresponding policy portrait; establishing an enterprise information base, adding corresponding enterprise labels to each enterprise, and generating corresponding enterprise portraits; receiving enterprise information, calculating the matching degree between each policy in a policy information base and the received enterprise according to the corresponding enterprise image of the received enterprise and the policy image of each policy in a policy information base, and pushing the policy with the matching degree larger than a preset threshold to a user based on the matching rule; and receiving the policy tag added by the user, searching the corresponding policy in the policy information base according to the policy tag added by the user, and pushing the searched policy to the user. According to the invention, the policies accurately matched with the enterprise can be directly and completely pushed to the enterprise according to the enterprise condition, the enterprise calling policy department is not required to consult, and the communication cost and the labor cost of the enterprise for acquiring the policies are reduced.
Description
Technical Field
The present disclosure relates to the field of internet technologies, and in particular, to a policy pushing method, device and computer equipment.
Background
Enterprises as main participants of market economic activities are continuously growing along with the development of social division, and the popularization of the Internet and the coming of big data age are all providing higher requirements for the enterprises in daily operation management, and the enterprises are required to be more intelligent for self management and more efficient for the operation efficiency of the enterprises.
At present, governments are out of the way for a plurality of policies with assistance to enterprises, but the enterprises often cannot directly know clearly and comprehensively because the related policies are large in quantity and different in establishment authorities. Enterprises can often make consultations with the policy departments, and the related policies are known through confusion and answering by the policy departments. Although enterprises can directly acquire policy information through one-to-one communication, the information is limited, experience is poor, and communication cost of the two parties is increased intangibly; meanwhile, a large amount of human resources are wasted in the process, and the human cost of enterprises is increased. In addition, enterprises are difficult to accurately acquire all policies matched with the enterprises, so that the enterprises can be unaware of many benefit policies, and the long-term development of the enterprises is not facilitated.
Disclosure of Invention
Based on the above, a policy pushing method, device and computer equipment are provided to solve the technical problems in the prior art that the process communication cost and the labor cost of acquiring policies by enterprises are high, and it is difficult to accurately acquire all policies matched with the policies.
In order to achieve the above object, the present application provides the following technical solutions:
in a first aspect, a policy pushing method includes:
constructing a policy information base, adding a corresponding policy tag to each policy in the policy information base according to the policy tags contained in the pre-established policy tag base, and generating a corresponding policy portrait;
establishing an enterprise information base, adding a corresponding enterprise label to each enterprise in the enterprise information base according to enterprise labels contained in a pre-established enterprise label base, and generating a corresponding enterprise portrait;
receiving enterprise information, calculating the matching degree between each policy in a policy information base and the received enterprise according to the corresponding enterprise image of the received enterprise and the policy image of each policy in a policy information base, and pushing the policy with the matching degree larger than a preset threshold to a user based on the matching rule;
and receiving the policy tag added by the user, searching the corresponding policy in the policy information base according to the policy tag added by the user, and pushing the searched policy to the user.
Optionally, the policy sources in the policy information base include a present level release policy, a superior refundable download to a local transaction policy, a local superior other policy, and an external policy; the enterprise sources in the enterprise information library comprise library enterprises and non-library enterprises, the library enterprises comprise enterprises contained in business registration information and annual report information of a market supervision bureau/big data bureau, enterprises contained in enterprise management information of a worker bureau, a living bureau, a sending and changing bureau and a statistics bureau, and enterprises contained in enterprise history acquisition supporting condition information of a science and technology bureau, a worker bureau, a sending and changing bureau and a person and society bureau, and enterprises contained in enterprise credit information of an security bureau, an environmental protection bureau, a market supervision bureau and a tax bureau.
Optionally, the policy tag library comprises 9 primary classification tags, 4 secondary classification tags, 54 tag names and 236 tag dictionaries; the enterprise tag library comprises 4 primary classification tags, 5 secondary classification tags, 33 tag names and 282 tag dictionaries.
Optionally, the matching rule is based on the received corresponding enterprise image of the enterprise and the policy image of each policy in the policy information base, so as to calculate the matching degree between each policy in the policy information base and the received enterprise, specifically by using similarity analysis.
Optionally, the method further comprises:
each pushed policy is provided with a subscription button, the policy that the user clicks the subscription button is obtained, and a subscription policy list is generated.
Optionally, the method further comprises:
and enabling the man-machine interaction interface to present a policy searching interface, receiving keywords input by a user in the policy searching interface, searching corresponding policies in the policy information base according to the keywords input by the user, and displaying the searched policies through the man-machine interaction interface.
Optionally, the method further comprises:
the method comprises the steps of enabling a human-computer interaction interface to present a policy searching interface, receiving a policy label selected by a user on the policy searching interface, searching a corresponding policy in the policy information base according to the policy label selected by the user, and displaying the searched policy through the human-computer interaction interface.
Optionally, the method further comprises:
recording the time of each push policy, a list of push policies and information viewing status, and generating a push record.
In a second aspect, a policy pushing device includes:
the system comprises a policy information base construction module, a policy information base generation module and a policy information processing module, wherein the policy information base construction module is used for constructing a policy information base, adding corresponding policy labels to each policy in the policy information base according to policy labels contained in a pre-established policy label base, and generating corresponding policy portraits;
the enterprise information base establishing module is used for establishing an enterprise information base, adding corresponding enterprise labels to each enterprise in the enterprise information base according to enterprise labels contained in a pre-established enterprise label base, and generating corresponding enterprise portraits;
the intelligent matching module is used for receiving enterprise information, calculating the matching degree between each policy in the policy information base and the received enterprise based on the matching rule according to the corresponding enterprise image of the received enterprise and the policy image of each policy in the policy information base, and pushing the policy with the matching degree larger than a preset threshold to a user;
the label screening module is used for receiving the policy labels added by the user, searching the corresponding policies in the policy information base according to the policy labels added by the user, and pushing the searched policies to the user.
In a third aspect, a computer device comprises a memory storing a computer program and a processor implementing the steps of the method of any of the first aspects when the computer program is executed.
The invention has at least the following beneficial effects:
the invention provides a policy pushing method, which comprises the steps of constructing a policy information base, adding corresponding policy labels to each policy in the policy information base, generating corresponding policy images, establishing an enterprise information base, adding corresponding enterprise labels to each enterprise in the enterprise information base, generating corresponding enterprise images, receiving enterprise information, calculating the matching degree between each policy in the policy information base and a received enterprise based on matching rules, pushing the policy with the matching degree being greater than a preset threshold to a user, receiving the policy labels added by the user, searching the corresponding policy in the policy information base according to the policy labels added by the user, and pushing the searched policy to the user; the system can directly push the policies accurately matched with the enterprise to the enterprise according to the enterprise condition, and the enterprise does not need to consult by a one-to-one calling policy department to know related policies, so that the communication cost and the labor cost of the enterprise for acquiring the policies are reduced.
Drawings
FIG. 1 is a flowchart of a policy pushing method according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of policy sources according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of enterprise sources according to an embodiment of the present invention;
FIG. 4 is a schematic diagram illustrating the overall function of a policy pushing method according to an embodiment of the present invention;
FIG. 5 is a schematic diagram showing another general function of a policy pushing method according to an embodiment of the present invention;
FIG. 6 is a schematic diagram illustrating a policy pushing method according to an embodiment of the invention;
FIG. 7 is a block diagram illustrating a module architecture of a policy pushing device according to an embodiment of the present invention;
fig. 8 is an internal structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
In one embodiment, as shown in fig. 1, a policy pushing method is provided, including the following steps:
s101, constructing a policy information base, adding corresponding policy labels to each policy in the policy information base according to the policy labels contained in the pre-established policy label base, and generating corresponding policy portraits.
As shown in fig. 2, the policy sources in the policy information base include 2 major classes and 4 minor classes:
this level of release policy: the present level issues policy and the upper level can be honored and put down to the local handling policy;
comprehensive policy at all levels: local superordinate other policies, external policies (local and foreign).
That is, the application firstly ensures the warehousing of the present level policy, secondly enriches the higher level cashable policy and puts the policy into the present level transacted policy; the product level may consider collecting peer policies, superior policies, for the current level policy formulation references. The policy department can maintain the policy information and issue the policies externally according to the policy enforcement plan.
Policy collection approaches mainly include manual + directional crawling:
this level of release policy: manually uploading and labeling;
comprehensive policy at all levels: the recent operator manually uploads the data, and the long term is crawled according to the policy portrait orientation.
Based on the policy information, the labels of the policy portrait (comprising 9 primary classifications, 4 secondary classifications, 54 label marks and 236 label dictionary) are extracted, and the policy department can perform the operations of adding, deleting and checking the policy labels to perfect a policy label library. And then marking a single policy with a label according to the policy structure and characteristics, and forming a policy image after the policy is marked. For example, policy tags may include support means, item categories, industry categories, legal categories, and the like.
S102, establishing an enterprise information base, adding corresponding enterprise labels to each enterprise in the enterprise information base according to enterprise labels contained in the pre-established enterprise label base, and generating corresponding enterprise portraits.
As shown in fig. 3, the enterprise sources in the enterprise information base include the library enterprises and non-library enterprises, the library enterprises include the enterprises included in the business registration information and the annual report information of the market supervision bureau/big data bureau, the enterprises included in the enterprise management information of the industry bureau, the living construction bureau, the issuing and changing bureau and the statistics bureau, the enterprises included in the supporting situation information obtained by the enterprise histories of the science and technology bureau, the industry bureau, the issuing and changing bureau and the personal and social bureau, and the enterprises included in the enterprise credit information of the security supervision bureau, the environmental protection bureau, the market supervision bureau and the tax bureau.
That is, the enterprise information sources comprise in-store enterprises and non-in-store enterprises, and the in-store enterprises select local business and other information base synchronization; the long-term open enterprise registers, attracts foreign enterprises with policies, and a recruiter department can check which enterprises check which policies, and the assistance is accurate to recruit. When the enterprise uses, whether the enterprise is in a library is checked, different layers of services are given out according to the checking result, and the enterprise is guided to supplement perfect data information.
Aiming at the in-library enterprises, the platform is used for docking big data bureau/market supervision data and synchronizing local business information; for non-in-store enterprises, the platform opens enterprise registration. And providing different layers of services according to the perfection degree of the enterprise information, and guiding the enterprise to supplement and perfect data information. The platform analyzes the enterprise information based on the big data and extracts the labels (4 primary classifications, 5 secondary classifications, 33 label names and 282 label dictionaries) of the enterprise portraits. The district department can perform the operations of adding, deleting and checking the enterprise labels to establish an enterprise policy label library. The platform marks a single enterprise according to the enterprise portrait structure to generate an enterprise portrait. And (3) the portrait of the enterprise is initially established in enterprise registration, and policy embedded point perfection is checked later to form and gradually optimize the portrait.
And S103, receiving enterprise information, calculating the matching degree between each policy in the policy information base and the received enterprise according to the corresponding enterprise image of the received enterprise and the policy image of each policy in the policy information base based on the matching rule, and pushing the policy with the matching degree larger than a preset threshold to a user.
Based on the matching rule, calculating the matching degree between each policy in the policy information base and the received enterprise according to the corresponding enterprise image of the received enterprise and the policy image of each policy in the policy information base, and specifically calculating by using similarity analysis. The preset threshold may be set according to the actual situation, and may be set to 40%, for example.
The matching rule is initialized manually, and based on the two tag libraries, the AI deep learning algorithm can be utilized to perform accurate matching and fuzzy matching, so as to obtain the matching degree. Therefore, according to enterprise conditions in the area, policy services of accurate pushing can be provided for different enterprises respectively.
S104, receiving the policy labels added by the user, searching corresponding policies in the policy information base according to the policy labels added by the user, and pushing the searched policies to the user.
After the enterprise adds the label, the relevant policy list can be pushed for clients according to the label at random. The enterprise sequentially inputs enterprise labels according to the system guide, and can automatically acquire a self-defined matched policy list and review the policy list. The enterprise can evaluate satisfaction degree of the custom matching service effect according to the service experience.
After registering the account number, the enterprise information and the contact person information are perfected in an account number information menu. After the enterprise perfects the enterprise information and the contact person information, the enterprise can be marked in an enterprise information menu, so that the enterprise portrait is further perfected, the better intelligent matching and accurate pushing service is enjoyed, and more accurate policy information is acquired.
The enterprise belongs to a library enterprise, the enterprise portrait is perfect, and the district office can inform the enterprise that the enterprise can acquire and consult the noninductive matching policy list pushed by the platform by only logging in an account and clicking an intelligent matching button. The enterprise can evaluate satisfaction degree of the noninductive matching service effect according to service experience.
After the enterprise enters a push reminding menu, a precisely pushed policy list is automatically displayed, and related information of the policy can be checked by clicking a single policy. Enterprises can evaluate satisfaction degree of the precisely pushed service effect according to service experience.
Further, the method further comprises:
each pushed policy is provided with a subscription button, the policy that the user clicks the subscription button is obtained, and a subscription policy list is generated.
After receiving the pushed policies, the enterprise can subscribe or cancel the collection of the policies, and clicking on a single policy can view specific information. In the subscription policy list, all policies favoring subscriptions can be viewed.
Further, the method further comprises:
the man-machine interaction interface is enabled to present a policy searching interface, keywords input by a user in the policy searching interface are received, corresponding policies are searched in the policy information base according to the keywords input by the user, and the searched policies are displayed through the man-machine interaction interface.
That is, the present invention also provides a keyword (word) query function, and a policy list satisfying keywords can be obtained by inputting keywords in the policy global search interface.
Further, the method further comprises:
the man-machine interaction interface is enabled to present a policy searching interface, the policy label selected by the user in the policy searching interface is received, the corresponding policy is searched in the policy information base according to the policy label selected by the user, and the searched policy is displayed through the man-machine interaction interface. In the policy presentation interface, the user may review or collect policies of interest.
That is, the present invention also provides a tag filtering function, which can obtain a policy list conforming to a selected policy tag by selecting some policy tags from the policy tag list in a policy global search interface.
Further, the method further comprises:
recording the time of each push policy, a list of push policies and information viewing status, and generating a push record.
The enterprise can check the push reminding log in the push record menu, acquire the policy push reminding time, the policy push list and the information check state, and click on a single policy to check the relevant information of the policy.
The general functional schematic of a policy pushing method proposed in the present application can be seen in fig. 4-5, and the schematic architecture of the policy pushing method is shown in fig. 6.
According to the policy pushing method provided by the application, if enterprise operation is affected, the local enterprise A hopes to find the help of the policy, after the account information is perfected through registering the policy knowledge network, more latest information can be obtained on the policy knowledge network, and convenience of the benefit enterprise policy to directly reach the enterprise account is enjoyed. The specific operation mode is enterprise registration and enterprise information maintenance, global searching, subscription management, accurate pushing, intelligent matching and policy subscription management. In order to increase financial support to enterprises in the local area and push the policies to directly share quickly, the policy knowledge network can ensure that the enterprises know the network-to-network inquiry again, and the policies are pushed to be in the middle of a stroke.
In the policy pushing method, a policy information base is constructed, corresponding policy labels are added to each policy in the policy information base, and corresponding policy portraits are generated; establishing an enterprise information base, adding a corresponding enterprise label to each enterprise in the enterprise information base, and generating a corresponding enterprise portrait; receiving enterprise information, calculating the matching degree between each policy in the policy information base and the received enterprise based on the matching rule, and pushing the policy with the matching degree larger than a preset threshold to a user; receiving a policy tag added by a user, searching a corresponding policy in a policy information base according to the policy tag added by the user, and pushing the searched policy to the user; the policies accurately matched with the enterprise can be directly and completely pushed to the enterprise according to the enterprise condition, and the enterprise does not need to consult with a one-to-one calling policy department to know related policies, so that the communication cost and the labor cost of the enterprise for acquiring the policies are reduced; the method can provide policy service of accurate pushing for different enterprises according to enterprise conditions in the area.
According to the method, the policy pushing service is provided for enterprises by integrating the big data information of the related policy pushing information and constructing an online collaborative operation mechanism, so that the docking with the municipal policy redemption platform is completed. The invention realizes accurate pushing of regional policies of enterprises in jurisdictions through an informatization means, and changes enterprise policy finding into enterprise policy finding.
The invention provides a one-stop label management solution, wherein the sustainable data operation mode considers demands of departments and enterprises, continuously verifies rationality and accuracy of an AI algorithm, and enables a policy to specify planning at the front end and enables the policy to be optimized at the rear end.
It should be understood that, although the steps in the flowchart of fig. 1 are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least a portion of the steps in fig. 1 may include a plurality of steps or stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily sequential, but may be performed in rotation or alternatively with at least a portion of the steps or stages in other steps or other steps.
In one embodiment, as shown in fig. 7, there is provided a policy pushing device including the following program modules:
a policy information base construction module 701, configured to construct a policy information base, add a corresponding policy tag to each policy in the policy information base according to policy tags included in a policy tag base that is built in advance, and generate a corresponding policy portrait;
an enterprise information base establishing module 702, configured to establish an enterprise information base, add a corresponding enterprise tag to each enterprise in the enterprise information base according to enterprise tags included in a pre-established enterprise tag base, and generate a corresponding enterprise portrait;
the intelligent matching module 703 is configured to receive enterprise information, calculate a matching degree between each policy in the policy information base and the received enterprise based on the matching rule and according to the corresponding enterprise image of the received enterprise and the policy image of each policy in the policy information base, and push the policy with the matching degree greater than a preset threshold to the user;
and the tag screening module 704 is configured to receive a policy tag added by a user, search a corresponding policy in the policy information base according to the policy tag added by the user, and push the searched policy to the user.
For specific limitations of a policy pushing device, reference may be made to the above limitation of a policy pushing method, and no further description is given here. The modules in the policy pushing device may be implemented in whole or in part by software, hardware, or a combination thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a server, and the internal structure of which may be as shown in fig. 8. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, computer programs, and a database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program when executed by a processor implements a policy pushing method.
It will be appreciated by those skilled in the art that the structure shown in fig. 8 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, including a memory and a processor, the memory having stored therein a computer program, involving all or part of the flow of the methods of the embodiments described above.
In one embodiment, a computer readable storage medium having a computer program stored thereon is provided, involving all or part of the flow of the methods of the embodiments described above.
Those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile memory may include Read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, or the like. Volatile memory can include Random access memory (Random AccessMemory, RAM) or external cache memory. By way of illustration, and not limitation, RAM can take many forms, such as static random access memory (StaticRandomAccessMemory, SRAM) or dynamic random access memory (DynamicRandomAccessMemory, DRAM), among others.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (10)
1. A policy pushing method, comprising:
constructing a policy information base, adding a corresponding policy tag to each policy in the policy information base according to the policy tags contained in the pre-established policy tag base, and generating a corresponding policy portrait;
establishing an enterprise information base, adding a corresponding enterprise label to each enterprise in the enterprise information base according to enterprise labels contained in a pre-established enterprise label base, and generating a corresponding enterprise portrait;
receiving enterprise information, calculating the matching degree between each policy in a policy information base and the received enterprise according to the corresponding enterprise image of the received enterprise and the policy image of each policy in a policy information base, and pushing the policy with the matching degree larger than a preset threshold to a user based on the matching rule;
and receiving the policy tag added by the user, searching the corresponding policy in the policy information base according to the policy tag added by the user, and pushing the searched policy to the user.
2. The policy pushing method according to claim 1, wherein the policy sources in the policy information base include present-level release policies, upper-level honorable down-put to local transacting policies, local upper-level other policies and external policies; the enterprise sources in the enterprise information library comprise library enterprises and non-library enterprises, the library enterprises comprise enterprises contained in business registration information and annual report information of a market supervision bureau/big data bureau, enterprises contained in enterprise management information of a worker bureau, a living bureau, a sending and changing bureau and a statistics bureau, and enterprises contained in enterprise history acquisition supporting condition information of a science and technology bureau, a worker bureau, a sending and changing bureau and a person and society bureau, and enterprises contained in enterprise credit information of an security bureau, an environmental protection bureau, a market supervision bureau and a tax bureau.
3. The policy pushing method according to claim 1, wherein the policy tag library comprises 9 primary class tags, 4 secondary class tags, 54 tag names and 236 tag dictionary; the enterprise tag library comprises 4 primary classification tags, 5 secondary classification tags, 33 tag names and 282 tag dictionaries.
4. The policy pushing method according to claim 1, wherein the matching degree between each policy in the policy information base and the received enterprise is calculated based on the matching rule according to the corresponding enterprise image of the received enterprise and the policy image of each policy in the policy information base, in particular by using similarity analysis.
5. The policy pushing method according to claim 1, wherein said method further comprises:
each pushed policy is provided with a subscription button, the policy that the user clicks the subscription button is obtained, and a subscription policy list is generated.
6. The policy pushing method according to claim 1, wherein said method further comprises:
and enabling the man-machine interaction interface to present a policy searching interface, receiving keywords input by a user in the policy searching interface, searching corresponding policies in the policy information base according to the keywords input by the user, and displaying the searched policies through the man-machine interaction interface.
7. The policy pushing method according to claim 1, wherein said method further comprises:
the method comprises the steps of enabling a human-computer interaction interface to present a policy searching interface, receiving a policy label selected by a user on the policy searching interface, searching a corresponding policy in the policy information base according to the policy label selected by the user, and displaying the searched policy through the human-computer interaction interface.
8. The policy pushing method according to claim 1, wherein said method further comprises:
recording the time of each push policy, a list of push policies and information viewing status, and generating a push record.
9. A policy pushing device, comprising:
the system comprises a policy information base construction module, a policy information base generation module and a policy information processing module, wherein the policy information base construction module is used for constructing a policy information base, adding corresponding policy labels to each policy in the policy information base according to policy labels contained in a pre-established policy label base, and generating corresponding policy portraits;
the enterprise information base establishing module is used for establishing an enterprise information base, adding corresponding enterprise labels to each enterprise in the enterprise information base according to enterprise labels contained in a pre-established enterprise label base, and generating corresponding enterprise portraits;
the intelligent matching module is used for receiving enterprise information, calculating the matching degree between each policy in the policy information base and the received enterprise based on the matching rule according to the corresponding enterprise image of the received enterprise and the policy image of each policy in the policy information base, and pushing the policy with the matching degree larger than a preset threshold to a user;
the label screening module is used for receiving the policy labels added by the user, searching the corresponding policies in the policy information base according to the policy labels added by the user, and pushing the searched policies to the user.
10. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 7 when the computer program is executed.
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