CN112995243A - Big data-based policy information pushing method and system - Google Patents
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Abstract
The specification provides a big data-based policy information pushing method and a big data-based policy information pushing system, wherein the method comprises the following steps: monitoring network publishing platforms of each government department; when the fact that the information is released on the network releasing platform is monitored, the released information is obtained; screening the issued information, and if the issued information is policy information, acquiring text information and link information of the issued information as push information; the push information is sent to the corresponding enterprise client, so that the automatic push of the policy information is realized, the workload of manually acquiring enterprise policies of enterprises is reduced, meanwhile, the big data is used for acquiring the policy information, the coverage is wide, and the omission of the policy information is avoided.
Description
Technical Field
The specification belongs to the technical field of computers, and particularly relates to a big data-based policy information pushing method and system.
Background
With the continuous development of computer and internet technologies, paper office is gradually replaced by electronic office, and most government departments also issue some policy information, work notice, government affair information and the like through the internet. However, the government affair publishing platform has various construction levels, large geographical differences, complicated information and no analysis function, and only provides a simple retrieval function. In addition, various policies are different in types, distribution, release time, management departments to which the policies belong, and objects targeted by the policies are different. Enterprises are usually busy in their core services, and are basically not full of time to actively consider and look up the policy information, and cannot acquire the latest policy in time, thereby further influencing the response of the enterprises to government policies, adjusting the work centers of themselves or enjoying the benefits brought by the government policies.
Therefore, how to push the policy information issued by the government department to the enterprise in time is a technical problem which needs to be solved urgently in the field.
Disclosure of Invention
The embodiment of the specification aims to provide a big data-based policy information pushing method and system, and the automatic pushing of the policy information is realized.
In one aspect, an embodiment of the present specification provides a big data-based policy information pushing method, including:
monitoring network publishing platforms of each government department;
when the fact that the information is released on the network releasing platform is monitored, the released information is obtained;
screening the issued information, and if the issued information is policy information, acquiring text information and link information of the issued information as push information;
and sending the push information to a corresponding enterprise client.
Optionally, the screening the published information includes:
acquiring the title information of the issued information;
and performing word segmentation on the title information, matching the word-segmented title information with a policy title library, and if the matching is successful, determining the issued information as policy information.
Optionally, the sending the push information to the corresponding enterprise client includes:
extracting keywords from text information in the push information to obtain keyword information of the push information, wherein the keyword information comprises at least one of the following: region, deadline, industry field, award amount, policy conditions;
and adding the keyword information as the reading information of the pushed information into the pushed information, and sending the pushed information to the enterprise client.
Optionally, the sending the push information to the corresponding enterprise client includes:
classifying the push information according to text information in the push information or the title of the push information;
and sending the push information to the corresponding enterprise client according to the classified push information according to the category.
Optionally, the sending the push information to the corresponding enterprise client includes:
and sending the push information to enterprise clients of enterprises in the administrative region according to the administrative region where the issuing government department of the push information is located.
Optionally, the method further includes:
storing the push information in a policy information base, and removing the push information from the policy information base when the push information is invalid according to the invalidation time of the push information;
and when a new enterprise client is accessed, acquiring push information from the policy information base and sending the push information to the new enterprise client.
In another aspect, the present specification provides a big data based policy information pushing system, including:
the information monitoring module is used for monitoring network publishing platforms of various government departments;
the information acquisition module is used for acquiring the published information when the network publishing platform is monitored to have information published;
the information screening module is used for screening the issued information, and if the issued information is policy information, the text information and the link information of the issued information are acquired and used as push information;
and the information pushing module is used for sending the pushed information to the corresponding enterprise client.
Optionally, the information screening module is specifically configured to:
acquiring the title information of the issued information;
and performing word segmentation on the title information, matching the word-segmented title information with a policy title library, and if the matching is successful, determining the issued information as policy information.
Optionally, the information pushing module is specifically configured to:
extracting keywords from text information in the push information to obtain keyword information of the push information, wherein the keyword information comprises at least one of the following: region, deadline, industry field, award amount, policy conditions;
and adding the keyword information as the reading information of the pushed information into the pushed information, and sending the pushed information to the enterprise client.
Optionally, the system further includes an information storage module, configured to:
storing the push information in a policy information base, and removing the push information from the policy information base when the push information is invalid according to the invalidation time of the push information;
and when a new enterprise client is accessed, acquiring push information from the policy information base and sending the push information to the new enterprise client.
In yet another aspect, the present specification provides a big data based policy information push platform, comprising: the system comprises a big data acquisition device, an information processing device and an information pushing device, wherein the big data acquisition device is connected with a network release platform of a plurality of government departments, and the information pushing device is connected with a plurality of enterprise clients;
the big data acquisition device is used for acquiring release information from a network platform of the government department by adopting a web crawler technology and sending the acquired release information to the information processing device;
the information processing device is used for screening the received release information, screening out policy information and sending the screened policy information to the information pushing device;
and the information pushing device pushes the received policy information to each enterprise client.
According to the big data-based policy information pushing method, system and platform, big data are used for collecting information issued by each government department, the collected information is screened, and then the pushing information is generated and sent to corresponding enterprises, so that each enterprise can see the policy information issued by the government department in time, and the business of the enterprise can be adjusted in time. The automatic pushing of the policy information is realized, the workload of enterprises for manually acquiring the policies of the enterprises is reduced, meanwhile, the large data is used for acquiring the policy information, the coverage is wide, and the omission of the policy information is avoided.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort.
Fig. 1 is a schematic flow chart of a big data-based policy information pushing method in one embodiment of the present specification;
FIG. 2 is a block diagram of an embodiment of a big data based policy information pushing system provided in the present specification;
FIG. 3 is a big data based policy information pushing system in yet another embodiment of this specification;
FIG. 4 is a block diagram of a big data based policy information pushing platform provided in one embodiment of the present specification;
fig. 5 is a block diagram of a hardware configuration of a big-data-based policy information push processing server in an embodiment of the present specification.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the present specification, and not all of the embodiments. All other embodiments obtained by a person skilled in the art based on the embodiments in the present specification without any inventive step should fall within the scope of protection of the present specification.
The policy information issued by the government department can guide the development direction of each enterprise, the government department usually issues the policy information through some network issuing platforms, and the enterprise can only acquire the policy information by checking the network issuing platforms of the government department in real time or regularly. Many enterprises do not check the staff of the network publishing platform of the government department, cannot acquire the latest policy information in time, and may bring certain influence to the development of the enterprises.
The big data-based policy information pushing method in the specification can be applied to a client or a server, and the client can be an electronic device such as a smart phone, a tablet computer, a smart wearable device (smart watch and the like), and a smart vehicle-mounted device.
Fig. 1 is a schematic flowchart of a big data-based policy information pushing method in an embodiment of this specification, and as shown in fig. 1, the big data-based policy information pushing method provided in an embodiment of this specification may include:
and 102, monitoring network release platforms of various government departments.
In a specific implementation process, a data interface can be set in the big data-based policy information pushing system, and the system is connected with the network publishing platforms of all government departments, so that the function of monitoring the network publishing platforms of all government departments in real time is realized. The network publishing platform of the government department may include at least one of: government information platforms, government websites, web portals, recruitment websites, bidding websites, and common information publishing platforms such as: official micro-blogging by government departments, and the like.
And 104, acquiring the released information when the network release platform is monitored to release the information.
In a specific implementation process, if it is monitored that a network publishing platform of a certain or some government departments has new information publishing, the information published by the network publishing platform can be acquired in a data mode such as a web crawler and the like. For example: if a certain government issues a piece of scientific and technological subsidy policy information on a website of the government, the piece of scientific and technological subsidy policy information can be acquired from the website by using a web crawler technology.
And 106, screening the issued information, and if the issued information is policy information, acquiring text information and link information of the issued information as push information.
In a specific implementation process, the information issued by the government department may also be some work notifications or activity information unrelated to policies, and the acquired issued information may be screened to determine whether the issued information is policy information. Policy information in some embodiments of the present description may be understood as enterprise-related policy and regulations, such as: technical-related policy information such as: the scientific and technological subsidy policy, the scientific and technological project declaration policy, and the like, and may further include some information such as bidding, and the embodiments of the present description are not specifically limited. In some embodiments of the present specification, during information screening, some invalid data or error data may also be deleted according to a data source and the like. For example: if a piece of policy information issued by a certain government department is crawled from a microblog of a certain person by using a web crawler technology, but the information is not published in an official website of the government department, the information can be regarded as error data and is directly deleted. The official seal information in the release information can be acquired through an image processing algorithm, and whether the data is accurate and effective is screened according to whether the official seal in the acquired data is accurate, which is not specifically limited in the embodiments of the present specification.
In the embodiment of the present specification, if it is determined that the released information is policy information, the link information of the released information, that is, the website link and the text information, is obtained, and the link information and the text information are used as push information. The tags in the web page content corresponding to the hyperlinks of the published information and the corresponding sub-tags under each tag can form a DOM tree form, and according to the set website rules, the title, the issuing authority, the issuing number, the publishing time and the text are extracted from the DOM tree form web page to serve as the text information of the published information.
And step 108, sending the push information to the corresponding enterprise client.
In a specific implementation process, after the push information of the release information is acquired, the push information can be sent to the corresponding enterprise client. Such as: the push message may be directly sent to each enterprise client connected to the system, or may also be sent to an enterprise mailbox of an enterprise registered in the big-data-based policy information push system in an embodiment of this specification or a mobile phone client of an enterprise contact.
In some embodiments of the present specification, the sending the push information to the corresponding enterprise client may include:
and sending the push information to enterprise clients of enterprises in the administrative region according to the administrative region where the issuing government department of the push information is located.
In a specific implementation, each delivery department of the push information may be acquired, an administrative area where a delivery government department of the push information is located is acquired, and the push information is sent to enterprise clients of enterprises in the administrative area. Each enterprise can register in the big data-based policy information pushing system in the embodiment of the specification through an enterprise client, information such as a contact mailbox of the enterprise, a contact telephone of a contact person, the location of the enterprise and the like can be filled in the registration, and when information pushing is carried out, the pushed information can be sent to the corresponding enterprise client according to an administrative region where a government department issuing policy information is located.
For example: the enterprise a registers in the big data-based policy information pushing system in the embodiment of the present specification as a user, and when it is monitored that the government department a issues an information b on the website of the government department, and after information screening, it is determined that the information b is policy information about the technical project declaration, text information and website link information of the information b can be acquired. If the administrative region where the government department a is located is Zhejiang province and the enterprise A is also located in Zhejiang province, the text information and the website link information of the information b can be sent to the enterprise mailbox of the enterprise A or the mobile phone client of the enterprise contact of the enterprise A. If the enterprise a downloads the client application app (application) based on big data policy information push on its client during registration, the text information and the website link information of the information b may also be directly sent to the client application of the enterprise a.
It should be noted that, acquiring the push information and the administrative area of the issuing government department corresponding to the push information, may also acquire the enterprise information in the administrative area through big data, such as: in the above embodiment, when it is monitored that the government department a issues an information b on the website of the government department, and the information b is determined to be policy information about the technical project declaration through information screening, the text information and the website link information of the information b can be acquired. The administrative region where the government department a is located is Zhejiang province, enterprise information of Zhejiang province can be acquired through big data, enterprise mailboxes of various enterprises are acquired, and text information and website link information of the information b are sent to the acquired enterprise mailboxes.
And information is pushed after the administrative areas are screened, so that the information pushing amount is reduced, and unnecessary disturbance to unnecessary users is avoided.
In addition, when the policy information is pushed, the policy information can be pushed according to the pushing time set by the user. For example: when the enterprise A is registered, the information pushing time is from 9:00 in the morning to 5:00 in the afternoon of a working day, and after the pushing information is obtained, the pushing information can be pushed to the enterprise A according to the time period.
In some embodiments of this specification, the push information may be further classified according to header information, release time, expiration time, and the like of the push information, for example: the method comprises the steps of classifying the push information according to the release time, the failure time, the information release region, the data source, the information release department, the industry field and the like of the push information, and sending the same type of push information to the enterprise client so that enterprise users can compare the related policy information.
In the policy information pushing method based on big data provided in the embodiment of the present specification, big data is used to collect information issued by each government department, and after the collected information is screened, the pushed information is generated and sent to corresponding enterprises, so that each enterprise can see policy information issued by the government department in time and adjust business of the enterprise in time. The automatic pushing of the policy information is realized, the workload of enterprises for manually acquiring the policies of the enterprises is reduced, meanwhile, the large data is used for acquiring the policy information, the coverage is wide, and the omission of the policy information is avoided.
On the basis of the above embodiment, the screening the published information includes:
acquiring the title information of the issued information;
and performing word segmentation on the title information, matching the word-segmented title information with a policy title library, and if the matching is successful, determining the issued information as policy information.
In a specific implementation process, after the fact that information is released on a network release platform of a government department is monitored and the released information is obtained, the title information of the released information can be obtained, and word segmentation processing is carried out on the title information. And matching the title information after word segmentation with the policy title library, and if one or more words matched with one or more words in the title information after word segmentation are matched in the policy title library, considering the issued information as the policy information. The policy topic database can be constructed by collecting the titles of the policy information issued by each government department in advance and performing data processing such as word segmentation on the titles. The policy topic library may include the title information of the policy information issued by the government department and the word segmentation of the title such as: science and technology, projects, applications, bidding, rewards, innovation, energy and the like can be specifically constructed according to actual needs, and the embodiment of the specification is not specifically processed.
For example: the title information of the information released by a certain government department is 'declaration notice about green energy items', and the title information can be obtained by word segmentation: regarding green, energy, project, declaration and notification, matching the information after word segmentation with a policy title library, wherein if the energy, project and declaration are successfully matched, the information can be regarded as policy information.
The embodiment of the specification adopts natural language processing methods such as word segmentation and matching, so that rapid and accurate information screening of the issued information is realized, and an accurate data basis is provided for accurate pushing of subsequent policy information.
On the basis of the foregoing embodiments, in some embodiments of the present specification, the sending the push information to the corresponding enterprise client includes:
extracting keywords from text information in the push information to obtain keyword information of the push information, wherein the keyword information comprises at least one of the following: region, deadline, industry field, award amount, policy conditions;
and adding the keyword information as the reading information of the pushed information into the pushed information, and sending the pushed information to the enterprise client.
In a specific implementation process, after the push information of the issued information of the government department is acquired, keyword extraction can be performed on the text information of the push information, for example: the method comprises the steps of extracting information about areas, deadline, industry fields, reward amount, policy conditions and the like in text information, adding the extracted keyword information serving as reading information into the pushed information, and sending the information to an enterprise, so that the enterprise can quickly see the content of the pushed information and know whether the pushed information is the information which the enterprise needs to know as soon as possible, the reading time of the enterprise is saved, and the user experience is improved.
Of course, a keyword extraction algorithm may also be used to extract the keywords in the push information according to actual needs, and this specification is not limited specifically.
On the basis of the foregoing embodiments, in some embodiments of the present specification, the sending the push information to the corresponding enterprise client includes:
classifying the push information according to text information in the push information and/or a title of the push information;
and sending the push information to the corresponding enterprise client according to the classified push information according to the category.
In a specific implementation process, after the acquired release information is determined to be policy information, the acquired policy information can be classified. Such as: the policy information may be classified according to the title of the acquired policy information, or may be classified according to a natural language processing manner such as keyword extraction for text information of the acquired policy information. Classification rules such as: classification is performed based on the level of the issue unit of the policy information or the administrative area to which the issue unit belongs, and may also be performed according to the technical fields related to the policy information, such as: the new energy field, the financial field, the computer field, and the like, classify the policy information, or may further classify the policy information according to attributes of the policy information, such as: subsidy policy, bidding policy, and the like, and classifies the acquired policy information. One policy information may have multiple categories, such as: the subsidy policy information can also belong to the new energy field, and the administrative region released by the subsidy policy information can be Zhejiang province. After classification, the obtained policy information may be sent to the user according to categories, such as: the policies of the bid class are sent to the user together for comparison by the user. And according to the classified categories of the policy information, marking category marks on each policy information, and sending the category marks to the user as the interpretation information or summary information of the policy information, so that the user can quickly and intuitively know the key information of the received policy information.
On the basis of the above embodiments, in some embodiments of the present specification, the method further includes:
storing the push information in a policy information base, and removing the push information from the policy information base when the push information is invalid according to the invalidation time of the push information;
and when a new enterprise client is accessed, acquiring push information from the policy information base and sending the push information to the new enterprise client.
In a specific implementation process, the acquired push information may be stored in a policy information base, and the policy information base may be updated according to the expiration time of each piece of push information. The expiration time can be understood as the effective deadline of the policy in the pushed information, such as: if the expiration date of the declaration time of a project issued by a certain government department is 12 and 31 days in 2019, the 12 and 31 days in 2019 can be used as the expiration time of the push message. If the push information does not indicate the deadline, the distribution time of the push information may be, for example, within a preset time period: and taking 3 months after the release time as the failure time of the push information. And when the push information is invalid, deleting the push information from the policy database. When a new enterprise is registered or an enterprise client is accessed to the big data-based policy information pushing system in the embodiment of the present specification, corresponding pushing information may be acquired from the policy information base and sent to the newly accessed enterprise client.
For example: and when new push information is acquired, the push information is stored in the policy information base, a tag of expiration time can be marked on each piece of push information, and the policy information base is updated periodically. Enterprise B accesses the big data based policy information push system for the first time, for example: when the enterprise B registers as a user of the big-data-based policy information pushing system through the client, the corresponding pushing information can be acquired from the policy information base and sent to the enterprise mailbox of the enterprise B or the client of the enterprise contact person. And push information issued by a government department of the enterprise location of the enterprise B can be acquired from the administrative information base according to the enterprise location filled by the enterprise B and is sent to the enterprise B.
In the embodiment of the description, the policy information base is established, and the policy information base is updated according to the failure time of the push information. After a new enterprise is registered as a user, the corresponding push information can be acquired from the policy information base and sent to the new enterprise, so that the enterprise can acquire the previously issued policy information without inquiring the policy information of each government department one by one, and the inquiry time of the policy information is greatly saved.
In the present specification, each embodiment of the method is described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. The relevant points can be obtained by referring to the partial description of the method embodiment.
Based on the policy information pushing method based on big data, one or more embodiments of the present specification further provide a policy information pushing system based on big data. The system may include systems (including distributed systems), software (applications), modules, components, servers, clients, etc. that employ the methods described in the embodiments of the present specification in conjunction with any necessary hardware for implementation. Based on the same innovative concept, the embodiments of the present specification provide systems in one or more embodiments as described in the following embodiments. Because the implementation scheme for solving the problem of the system is similar to the method, the implementation of the system in the embodiment of the present specification may refer to the implementation of the foregoing method, and repeated details are not repeated. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. While the system described in the embodiments below is preferably implemented in software, implementations in hardware, or a combination of software and hardware are also possible and contemplated.
Specifically, fig. 2 is a schematic block diagram of an embodiment of a big data based policy information pushing system provided in this specification, and as shown in fig. 2, the big data based policy information pushing system provided in this specification may include: information monitoring module 21, information acquisition module 22, information screening module 23, information push module 24, wherein:
the information monitoring module 21 can be used for monitoring network publishing platforms of various government departments;
the information obtaining module 22 may be configured to obtain published information when it is monitored that the network publishing platform has published information;
the information screening module 23 may be configured to screen the published information, and if the published information is policy information, obtain text information and link information of the published information as push information;
and the information pushing module 24 may be configured to send the pushed information to the corresponding enterprise client.
The big data-based policy information pushing system provided by the embodiment of the specification collects information issued by each government department by using big data, screens the collected information, generates pushing information and sends the pushing information to corresponding enterprises, so that each enterprise can see the policy information issued by the government department in time and adjust the business of the enterprise in time. The workload of acquiring enterprise policies manually by enterprises is reduced, meanwhile, the big data is used for acquiring the policy information, the coverage is wide, and omission of the policy information is avoided.
On the basis of the foregoing embodiments, in some embodiments of the present specification, the information screening module is specifically configured to:
acquiring the title information of the issued information;
and performing word segmentation on the title information, matching the word-segmented title information with a policy title library, and if the matching is successful, determining the issued information as policy information.
In the embodiment of the specification, natural language processing methods such as word segmentation and matching are adopted, so that rapid and accurate information screening of the issued information is realized, and an accurate data basis is provided for accurate pushing of subsequent policy information.
On the basis of the foregoing embodiments, in some embodiments of this specification, the information pushing module is specifically configured to:
extracting keywords from text information in the push information to obtain keyword information of the push information, wherein the keyword information comprises at least one of the following: region, deadline, industry field, award amount, policy conditions;
and adding the keyword information as the reading information of the pushed information into the pushed information, and sending the pushed information to the enterprise client.
In the embodiment of the specification, the extracted keyword information is used as the reading information, added to the push information and sent to the enterprise, so that the enterprise can quickly see the content of the push information and know whether the push information is the information which the enterprise needs to know as soon as possible, the reading time of the enterprise is saved, and the user experience is improved.
Fig. 3 is a big data based policy information pushing system in another embodiment of the present specification, and as shown in fig. 3, on the basis of the above embodiment, in some embodiments of the present specification, the system further includes an information storage module 31 for:
storing the push information in a policy information base, and removing the push information from the policy information base when the push information is invalid according to the invalidation time of the push information;
and when a new enterprise client is accessed, acquiring push information from the policy information base and sending the push information to the new enterprise client.
In the embodiment of the present specification, a policy information base is established, and the policy information base is updated according to the expiration time of the push information. After a new enterprise is registered as a user, the corresponding push information can be acquired from the policy information base and sent to the new enterprise, so that the enterprise can acquire the previously issued policy information without inquiring the policy information of each government department one by one, and the inquiry time of the policy information is greatly saved.
It should be noted that the above-described system may also include other embodiments according to the description of the method embodiment. The specific implementation manner may refer to the description of the above corresponding method embodiment, and is not described in detail herein.
An embodiment of the present specification further provides a data processing device for big data-based policy information push, including: at least one processor and a memory for storing processor-executable instructions, where the processor executes the instructions to implement the big-data-based policy information pushing method in the above embodiments, such as:
monitoring network publishing platforms of each government department;
when the fact that the information is released on the network releasing platform is monitored, the released information is obtained;
screening the issued information, and if the issued information is policy information, acquiring text information and link information of the issued information as push information;
and sending the push information to a corresponding enterprise client.
Fig. 4 is a schematic structural diagram of a big data-based policy information pushing platform provided in an embodiment of this specification, and as shown in fig. 4, the big data-based policy information pushing platform in the embodiment of this specification may include a big data collecting device, an information processing device, and an information pushing device, and as shown in fig. 4, the big data collecting device is connected to network publishing platforms of multiple government departments, each government department may correspond to multiple network publishing platforms, the information pushing device is connected to multiple enterprise clients, and each enterprise user may correspond to multiple enterprise clients;
the big data acquisition device is used for acquiring release information from a network platform of the government department by adopting a web crawler technology and sending the acquired release information to the information processing device;
the information processing device is used for screening the received release information, screening out policy information and sending the screened policy information to the information pushing device;
and the information pushing device pushes the received policy information to each enterprise client.
It should be noted that the above-described processing device and system may also include other embodiments according to the description of the method embodiment. The specific implementation manner may refer to the description of the above corresponding method embodiment, and is not described in detail herein.
The big data-based policy information pushing system or processing device or system provided by the specification can also be applied to various data analysis and processing systems. The system or processing device may include any of the big data based policy information pushing systems in the above embodiments. The system or processing device may be a single server or may comprise a cluster of servers, a system (including a distributed system), software (applications), an actual operating system, logical gate systems, quantum computers, etc. that use one or more of the methods or systems of one or more embodiments of the present description in conjunction with a terminal system that implements the hardware as necessary. The system for checking for discrepancies may comprise at least one processor and a memory storing computer-executable instructions that, when executed by the processor, implement the steps of the method of any one or more of the embodiments described above.
The method embodiments provided by the embodiments of the present specification can be executed in a mobile terminal, a computer terminal, a server or a similar computing system. Taking an example of the policy information pushing system running on a server, fig. 5 is a block diagram of a hardware structure of a big data-based policy information pushing processing server in an embodiment of this specification, where the server may be the big data-based policy information pushing system, the business right recommendation data processing device, or the system in the above embodiment. As shown in fig. 5, the server 10 may include one or more (only one shown) processors 100 (the processors 100 may include, but are not limited to, a processing system such as a microprocessor MCU or a programmable logic device FPGA), a memory 200 for storing data, and a transmission module 300 for communication functions. It will be understood by those of ordinary skill in the art that the structure shown in fig. 5 is merely illustrative and is not intended to limit the structure of the electronic system described above. For example, the server 10 may also include more or fewer components than shown in FIG. 5, and may also include other processing hardware, such as a database or multi-level cache, a GPU, or have a different configuration than shown in FIG. 5, for example.
The memory 200 may be used to store software programs and modules of application software, such as program instructions/modules corresponding to the big-data based policy information pushing method in the embodiment of the present specification, and the processor 100 executes various functional applications and resource data updates by executing the software programs and modules stored in the memory 200. Memory 200 may include high speed random access memory and may also include non-volatile memory, such as one or more magnetic storage systems, flash memory, or other non-volatile solid-state memory. In some examples, memory 200 may further include memory located remotely from processor 100, which may be connected to a computer terminal through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The transmission module 300 is used for receiving or transmitting data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the computer terminal. In one example, the transmission module 300 includes a Network adapter (NIC) that can be connected to other Network devices through a base station so as to communicate with the internet. In one example, the transmission module 300 may be a Radio Frequency (RF) module, which is used for communicating with the internet in a wireless manner.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The method or system provided by the present specification and described in the foregoing embodiments may implement the service logic through a computer program and record the service logic on a storage medium, where the storage medium may be read and executed by a computer, so as to implement the effect of the solution described in the embodiments of the present specification.
The storage medium may include a physical system for storing information, typically by digitizing the information and storing it in a medium using electrical, magnetic or optical means. The storage medium may include: systems that store information using electrical energy, such as various types of memory, e.g., RAM, ROM, etc.; systems that store information using magnetic energy such as hard disks, floppy disks, tapes, magnetic core memories, bubble memories, and usb disks; systems that store information optically, such as CDs or DVDs. Of course, there are other ways of storing media that can be read, such as quantum memory, graphene memory, and so forth.
The policy information pushing method or system based on big data provided in the embodiments of this specification may be implemented in a computer by a processor executing corresponding program instructions, for example, implemented in a PC using a c + + language of a windows operating system, implemented in a linux system, or implemented in an intelligent terminal using android, iOS system programming languages, implemented in processing logic based on a quantum computer, and the like.
It should be noted that the descriptions of the system, the computer storage medium, and the system described above according to the related method embodiments may also include other embodiments, and specific implementations may refer to the descriptions of the corresponding method embodiments, which are not described in detail herein.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the hardware + program class embodiment, since it is substantially similar to the method embodiment, the description is simple, and the relevant points can be referred to only the partial description of the method embodiment.
The embodiments of the present description are not limited to what must be consistent with industry communications standards, standard computer resource data updating and data storage rules, or what is described in one or more embodiments of the present description. Certain industry standards, or implementations modified slightly from those described using custom modes or examples, may also achieve the same, equivalent, or similar, or other, contemplated implementations of the above-described examples. The embodiments using the modified or transformed data acquisition, storage, judgment, processing and the like can still fall within the scope of the alternative embodiments of the embodiments in this specification.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the systems included therein for performing the various functions may also be considered as structures within the hardware component. Or even a system for performing various functions can be considered to be a software module implementing the method or a structure within a hardware component.
The systems, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a vehicle-mounted human-computer interaction device, a cellular telephone, a camera phone, a smart phone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
Although one or more embodiments of the present description provide method operational steps as described in the embodiments or flowcharts, more or fewer operational steps may be included based on conventional or non-inventive approaches. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. When a practical system or end product executes, it may execute sequentially or in parallel (e.g., in the context of parallel processors or multi-threaded processing, or even in the context of distributed resource data update) according to the embodiments or methods shown in the drawings. The terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, the presence of additional identical or equivalent elements in a process, method, article, or apparatus that comprises the recited elements is not excluded. The terms first, second, etc. are used to denote names, but not any particular order.
For convenience of description, the above system is described with the functions divided into various modules, which are described separately. Of course, when implementing one or more of the present description, the functions of each module may be implemented in one or more software and/or hardware, or a module implementing the same function may be implemented by a combination of multiple sub-modules or sub-units, etc. The above-described system embodiments are merely illustrative, and for example, the division of the units is only one logical functional 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, systems or units, and may be in an electrical, mechanical or other form.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, systems (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable resource data updating apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable resource data updating apparatus, create a system for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable resource data update apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including an instruction system which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable resource data update apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage, graphene storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
As will be appreciated by one skilled in the art, one or more embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, one or more embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, one or more embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
One or more embodiments of the present description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. One or more embodiments of the present specification can also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for system embodiments, since they are substantially similar to method embodiments, the description is relatively simple, and the relevant points can be referred to only part of the description of the method embodiments. In the description of the specification, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the specification. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
The above description is merely exemplary of one or more embodiments of the present disclosure and is not intended to limit the scope of one or more embodiments of the present disclosure. Various modifications and alterations to one or more embodiments described herein will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement or the like made within the spirit and principle of the present specification should be included in the scope of the claims.
Claims (10)
1. A big data-based policy information pushing method is characterized by comprising the following steps:
monitoring network publishing platforms of each government department;
when the fact that the information is released on the network releasing platform is monitored, the released information is obtained;
screening the issued information, and if the issued information is policy information, acquiring text information and link information of the issued information as push information;
and sending the push information to a corresponding enterprise client.
2. The method of claim 1, wherein the screening the published information comprises:
acquiring the title information of the issued information;
and performing word segmentation on the title information, matching the word-segmented title information with a policy title library, and if the matching is successful, determining the issued information as policy information.
3. The method of claim 1, wherein the sending the push information to the corresponding enterprise client comprises:
extracting keywords from text information in the push information to obtain keyword information of the push information, wherein the keyword information comprises at least one of the following: region, deadline, industry field, award amount, policy conditions;
and adding the keyword information as the reading information of the pushed information into the pushed information, and sending the pushed information to the enterprise client.
4. The method of claim 1, wherein the sending the push information to the corresponding enterprise client comprises:
classifying the push information according to text information in the push information and/or a title of the push information;
and sending the push information to the corresponding enterprise client according to the classified push information according to the category.
5. The method of claim 1, wherein the sending the push information to the corresponding enterprise client comprises:
and sending the push information to enterprise clients of enterprises in the administrative region according to the administrative region where the issuing government department of the push information is located.
6. The method of claim 1, wherein the method further comprises:
storing the push information in a policy information base, and removing the push information from the policy information base when the push information is invalid according to the invalidation time of the push information;
and when a new enterprise client is accessed, acquiring push information from the policy information base and sending the push information to the new enterprise client.
7. A big-data-based policy information pushing system, comprising:
the information monitoring module is used for monitoring network publishing platforms of various government departments;
the information acquisition module is used for acquiring the published information when the network publishing platform is monitored to have information published;
the information screening module is used for screening the issued information, and if the issued information is policy information, the text information and the link information of the issued information are acquired and used as push information;
and the information pushing module is used for sending the pushed information to the corresponding enterprise client.
8. The system of claim 7, wherein the information screening module is to:
acquiring the title information of the issued information;
and performing word segmentation on the title information, matching the word-segmented title information with a policy title library, and if the matching is successful, determining the issued information as policy information.
9. The system of claim 7, wherein the information push module is configured to:
extracting keywords from text information in the push information to obtain keyword information of the push information, wherein the keyword information comprises at least one of the following: region, deadline, industry field, award amount, policy conditions;
and adding the keyword information as the reading information of the pushed information into the pushed information, and sending the pushed information to the enterprise client.
10. A big data-based policy information push platform, comprising: the system comprises a big data acquisition device, an information processing device and an information pushing device, wherein the big data acquisition device is connected with a network release platform of a plurality of government departments, and the information pushing device is connected with a plurality of enterprise clients;
the big data acquisition device is used for acquiring release information from a network platform of the government department by adopting a web crawler technology and sending the acquired release information to the information processing device;
the information processing device is used for screening the received release information, screening out policy information and sending the screened policy information to the information pushing device;
and the information pushing device pushes the received policy information to each enterprise client.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116204562A (en) * | 2023-05-04 | 2023-06-02 | 广东政沣云计算有限公司 | Policy information processing method and device, electronic equipment and storage medium |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108491438A (en) * | 2018-02-12 | 2018-09-04 | 陆夏根 | A kind of technology policy retrieval analysis method |
| CN109063065A (en) * | 2018-07-20 | 2018-12-21 | 政和科技股份有限公司 | A kind of method and device of policy information push |
| CN109145183A (en) * | 2017-06-19 | 2019-01-04 | 腾讯科技（深圳）有限公司 | Push the method and device of information to be presented |
| CN109271523A (en) * | 2018-11-23 | 2019-01-25 | 中电科大数据研究院有限公司 | A kind of government document subject classification method based on information retrieval |
| CN109670183A (en) * | 2018-12-21 | 2019-04-23 | 北京锐安科技有限公司 | A kind of calculation method, device, equipment and the storage medium of text importance |
| CN109902225A (en) * | 2019-01-22 | 2019-06-18 | 广州高企云信息科技有限公司 | A kind of policy information inquiry supplying system and method based on big data |
| CN110275935A (en) * | 2019-05-10 | 2019-09-24 | 平安科技（深圳）有限公司 | Processing method, device and storage medium, the electronic device of policy information |
-
2019
- 2019-12-02 CN CN201911213761.4A patent/CN112995243A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109145183A (en) * | 2017-06-19 | 2019-01-04 | 腾讯科技（深圳）有限公司 | Push the method and device of information to be presented |
| CN108491438A (en) * | 2018-02-12 | 2018-09-04 | 陆夏根 | A kind of technology policy retrieval analysis method |
| CN109063065A (en) * | 2018-07-20 | 2018-12-21 | 政和科技股份有限公司 | A kind of method and device of policy information push |
| CN109271523A (en) * | 2018-11-23 | 2019-01-25 | 中电科大数据研究院有限公司 | A kind of government document subject classification method based on information retrieval |
| CN109670183A (en) * | 2018-12-21 | 2019-04-23 | 北京锐安科技有限公司 | A kind of calculation method, device, equipment and the storage medium of text importance |
| CN109902225A (en) * | 2019-01-22 | 2019-06-18 | 广州高企云信息科技有限公司 | A kind of policy information inquiry supplying system and method based on big data |
| CN110275935A (en) * | 2019-05-10 | 2019-09-24 | 平安科技（深圳）有限公司 | Processing method, device and storage medium, the electronic device of policy information |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116204562A (en) * | 2023-05-04 | 2023-06-02 | 广东政沣云计算有限公司 | Policy information processing method and device, electronic equipment and storage medium |
| CN116204562B (en) * | 2023-05-04 | 2023-09-19 | 广东政沣云计算有限公司 | Policy information processing method and device, electronic equipment and storage medium |
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