Government affair information management method and device, equipment and storage medium

Abstract

The invention discloses a government affair information management method and device, equipment and a storage medium, and relates to the technical field of data processing, the method comprises the following steps: receiving government affair information input by a user, and identifying keywords corresponding to the government affair information; according to a fuzzy matching algorithm, keywords corresponding to the government affair information are processed to obtain user behavior data, so that a system can better understand the keywords input by a user, the related government affair information can be found even if spelling errors or deformation forms exist, and the accuracy of information retrieval is improved; user behavior data is subjected to pattern recognition and analysis through a machine learning algorithm, user access information is obtained, user preferences, government affair items with high use frequency and search habits can be recognized, and personalized recommendation and optimization service of a government affair information system are facilitated; based on the user access information, the display sequence of the government affair information list in the navigation bar is adjusted, the government affair items most frequently accessed by the user are preposed, and the working efficiency is improved.

Description

Technical Field

[0001] The present application relates to the field of data processing technology, and in particular to government information management methods, devices, equipment and storage media. Background Art

[0002] Traditional government information retrieval government information systems often ignore the personalized needs of users, provide relatively simple services and functions, and cannot meet the specific needs of different users. In addition, due to the lack of an update mechanism, government information may be time-delayed from the actual situation and cannot reflect the latest policy and regulatory changes in a timely manner, affecting the accuracy and timeliness of information. In addition, the search function is limited to precise matching, and lacks the ability to handle spelling errors, synonyms, polysemous words, and complex query statements, resulting in incomplete and inaccurate search results. It lacks an in-depth understanding of the real needs behind user queries and can often only match literally, ignoring contextual information and user potential needs, resulting in low relevance of search results.

[0003] To sum up, how to optimize the real-time and intelligent performance of government information retrieval has become a key issue that needs to be solved urgently in recent years. Summary of the invention

[0004] The main purpose of this application is to provide a government information management method, device, equipment and storage medium, aiming to solve the technical problem of how to optimize the real-time and intelligent retrieval of government information.

[0005] To achieve the above objectives, the present application proposes a government information management method, the method comprising: Receive government information input by the user and identify keywords corresponding to the government information; According to the fuzzy matching algorithm, the keywords corresponding to the government information are processed to obtain user behavior data; Performing pattern recognition and analysis on the user behavior data through a machine learning algorithm to obtain user access information; Based on the user access information, the display order of the government information list in the navigation bar is adjusted.

[0006] In one embodiment, the step of processing the keywords corresponding to the government information according to the fuzzy matching algorithm to obtain the user behavior data includes: Build a synonym thesaurus; Mapping synonyms to corresponding word roots in the synonym thesaurus; Perform fuzzy matching of keywords corresponding to government affairs information with the root word to obtain keyword search results; The search results of the keywords are analyzed to generate user behavior data.

[0007] In one embodiment, before the step of fuzzy matching the keywords corresponding to the government information with the word roots to obtain keyword search results, the step further includes: Performing text preprocessing on keywords corresponding to the government information to obtain preprocessed keywords; Converting the preprocessed keywords into corresponding vectors; The corresponding vector is input into a pre-trained deep learning model to obtain semantic information of the keywords corresponding to the government information.

[0008] In one embodiment, the step of fuzzy matching the keywords corresponding to the government information with the word roots to obtain keyword search results includes: Through the context analysis algorithm, the semantic information of the keywords corresponding to the government information is used to identify the intention of the user's query; Analyze the user's query intent to obtain key information and entity information; The key information and entity information are combined to generate search results for the keywords.

[0009] In one embodiment, after the step of combining the key information and the entity information to generate a search result of the keyword, the step further includes: The search results of the keywords are stored in a real-time index, and the real-time index is updated.

[0010] In one embodiment, the step of performing pattern recognition and analysis on the user behavior data by a machine learning algorithm to obtain user access information includes: Use machine learning algorithms to identify and analyze patterns in user behavior data and identify a list of government information that users frequently access; Based on the list of government information frequently accessed by the user, user access information is obtained.

[0011] In one embodiment, the step of adjusting the display order of the government information list in the navigation bar based on the user access information includes: Based on user access information, a strategy for adjusting the display order of the government information list in the preset navigation bar; According to the adjustment strategy, the list of government affairs information frequently accessed by the user is adjusted to a corresponding position in the navigation bar.

[0012] In addition, to achieve the above purpose, the present application also proposes a government information management device, the government information management device comprising: A receiving module, used to receive government information input by a user and identify keywords corresponding to the government information; A processing module, used to process the keywords corresponding to the government information according to a fuzzy matching algorithm to obtain user behavior data; An identification and analysis module, used to perform pattern identification and analysis on the user behavior data through a machine learning algorithm to obtain user access information; The adjustment module is used to adjust the display order of the government information list in the navigation bar based on the user access information.

[0013] In addition, to achieve the above-mentioned purpose, the present application also proposes a government information management device, which includes: a memory, a processor, and a computer program stored in the memory and executable on the processor, and the computer program is configured to implement the steps of the government information management method described above.

[0014] In addition, to achieve the above-mentioned purpose, the present application also proposes a storage medium, which is a computer-readable storage medium, and a computer program is stored on the storage medium. When the computer program is executed by the processor, the steps of the government information management method described above are implemented.

[0015] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, it implements the steps of the government information management method described above.

[0016] The embodiments of the present application provide a government information management method, apparatus, device and storage medium, which specifically receive government information input by a user and identify the corresponding keywords of the government information, which is conducive to quickly understanding the core content of the user's query and improving work efficiency; according to the fuzzy matching algorithm, the corresponding keywords of the government information are processed to obtain user behavior data, so that the government information system can better understand the keywords input by the user, and even if there are spelling errors or deformed forms, relevant government information can be found, thereby improving the accuracy of information retrieval; through the use of machine learning algorithms, pattern recognition and analysis of user behavior data are performed to obtain user access information, and user preferences, frequently used government projects and search habits can be identified, which is helpful for personalized recommendations and optimization services of the government information system; based on the user access information, the display order of the government information list in the navigation bar is adjusted, and the government projects that the user visits most frequently or recently visits are placed in front, thereby reducing search time and improving the operating efficiency of web pages or applications. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and, together with the description, serve to explain the principles of the present application.

[0018] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0019] Figure 1 A flowchart of the first embodiment of the government information management method of this application is provided; Figure 2 This is a specific operation diagram showing a user inputting keywords provided in Example 1 of the present application; Figure 3 This is a diagram showing the operation of a user switching a government affairs information list provided in Example 1 of the present application; Figure 4 This is a diagram showing the operation of a user switching a government affairs information list provided in Example 2 of the present application; Figure 5 A flowchart of the second embodiment of the government information management method of this application is provided; Figure 6 A flowchart of the third embodiment of the government information management method of this application is provided; Figure 7 This is a schematic diagram of the module structure of the government information management device according to an embodiment of the present application; Figure 8 This is a schematic diagram of the device structure of the hardware operating environment involved in the government information management method in the embodiment of the present application.

[0020] The purpose, features and advantages of this application will be further described in conjunction with the embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0021] It should be understood that the specific embodiments described herein are only used to explain the technical solutions of the present application and are not used to limit the present application.

[0022] In order to better understand the technical solution of the present application, a detailed description will be given below in conjunction with the accompanying drawings and specific implementation methods.

[0023] The main solution of the embodiment of the present application is: receiving government information input by users and identifying the corresponding keywords of the government information; processing the corresponding keywords of the government information according to the fuzzy matching algorithm to obtain user behavior data; performing pattern recognition and analysis on the user behavior data through a machine learning algorithm to obtain user access information; and adjusting the display order of the government information list in the navigation bar based on the user access information.

[0024] Due to the existing technology, traditional government information retrieval government information systems often ignore the personalized needs of users, provide relatively simple services and functions, and cannot meet the specific needs of different users. In addition, due to the lack of an update mechanism, government information may be time-delayed from the actual situation and cannot reflect the latest policy and regulatory changes in a timely manner, affecting the accuracy and timeliness of information. In addition, the search function is limited to precise matching, and the processing capabilities for spelling errors, synonyms, polysemous words, and complex query statements are insufficient, resulting in incomplete and inaccurate search results. There is a lack of in-depth understanding of the real needs behind user queries, and often only literal matching can be performed, ignoring contextual information and potential user needs, resulting in low relevance of search results.

[0025] The present application provides a solution, which uses a fuzzy matching algorithm to process the corresponding keywords of government information, so that the government information system can better understand the corresponding keywords of government information, and even if there are spelling errors or deformed forms, it can still find relevant government information, thereby improving the accuracy of retrieved information; building a synonym thesaurus and identifying synonyms through a word vector model helps to expand the coverage of the search; through the use of real-time indexing technology, it ensures that the search results of government information are up-to-date and can reflect any changes in the data in a timely manner; through the use of machine learning algorithms to perform pattern recognition and analysis on the user behavior data, it can understand the user's personalized needs and behaviors, and provide users with customized services and functions, such as personalized settings, customized navigation bars, etc., to enhance user stickiness and satisfaction.

[0026] It should be noted that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or an electronic device capable of realizing the above functions, etc. The following takes a mobile phone as an example to illustrate this embodiment and the following embodiments.

[0027] Based on this, the present application embodiment provides a government information management method, referring to Figure 1 , Figure 1 This is a flow chart of the first embodiment of the government information management method of this application.

[0028] In this embodiment, the government information management method includes steps S10 to S40: Step S10, receiving government information input by a user, and identifying keywords corresponding to the government information; Processing the keywords corresponding to the government information according to a fuzzy matching algorithm; When users want to find relevant government information in the government APP or website, they can click on the relevant section and enter relevant keywords in the search bar at the top of the navigation bar of the section. Figure 2 , Figure 2An operation diagram showing a specific user inputting keywords.

[0029] After receiving government information, the government information system will initiate a series of processing processes to provide accurate and efficient information retrieval services.

[0030] Step S20, processing the keywords corresponding to the government information according to a fuzzy matching algorithm to obtain user behavior data; It should be noted that fuzzy matching algorithms allow government information systems to identify and match inaccurate or partially matching strings when processing user input, database queries, text analysis, and other scenarios.

[0031] In addition, it should be noted that user behavior data includes browsing history, click records, search keywords, dwell time, etc.

[0032] In this embodiment, a fuzzy matching algorithm, such as an edit distance algorithm, is used to process keywords corresponding to government information. In order to find words or phrases similar to keywords corresponding to government information, the fuzzy matching function provided by the open source library can be used, or the fuzzy matching algorithm can be implemented by oneself.

[0033] In order for the government information system to better understand the keywords input by the user, and to be able to find relevant government information even if there are spelling errors or deformations, step S20 is executed to improve the accuracy of information retrieval.

[0034] In a feasible implementation, step S20 may include steps S21 to S24: Step S21, constructing a synonym word library; It should be noted that a synonym database refers to a database or resource that collects and organizes a large number of words with the same or similar meanings.

[0035] In order to find synonyms related to keywords corresponding to government information from the synonym database, in this embodiment, it is necessary to collect words and their meanings related to government information from dictionaries, corpora, network texts, etc.

[0036] For the synonym database related to government information, it should include professional vocabulary and synonyms in the fields of policies, regulations, public services, etc. For example, possible synonyms of "policy" include "policy", "regulations", "strategy", etc.

[0037] Step S22, mapping the synonyms to corresponding roots in the synonym database; Specifically, after defining the synonym database related to government information, each synonym in the synonym database is mapped to a common root. The root is the representative word in the synonym group, usually the most commonly used or most standard word. The purpose of mapping is to simplify the subsequent fuzzy matching process, because all synonym matching will be attributed to the matching of the root. For example, "policy", "guidelines", and "regulations" are all mapped to the root "policy".

[0038] Step S23, fuzzy matching the keywords corresponding to the government information with the root word to obtain keyword search results; Specifically, when a user enters a keyword, the government information system will use a fuzzy matching algorithm to compare the corresponding keyword of the government information with the root word. The fuzzy matching algorithm can handle problems such as spelling errors, abbreviations, and variant forms, ensuring that even if the user input is not completely accurate, relevant search results can be found. For example, if the user enters "policy", the system can still recognize that this is a spelling variant of "policy" and map it to the root word "policy".

[0039] Further, in a feasible implementation manner, step S23 may include steps A1 to A3: Step A1, using a context analysis algorithm to perform intent recognition on the semantic information of keywords corresponding to the government information to obtain the intent of the user's query; According to the corresponding keywords of government information, context analysis algorithms are used to perform intent recognition to determine the user's search intention, including identifying key information and question information, such as the subject of the keyword, related entities, etc.

[0040] Take the example of when a user enters the keyword “how to apply for a passport” in the search bar in the “Smart Supervision” module of the government WeChat workstation.

[0041] When the government information system receives the corresponding keywords of the government information, it identifies the keywords such as "application" and "passport" and understands that the user may be seeking information about the passport application process.

[0042] Then, the government information system will use contextual analysis algorithms to understand the user's query intent and determine that the user wants to obtain work dynamic information related to "applying for a passport."

[0043] Step A2, analyzing the user's query intent to obtain key information and entity information; Optionally, after identifying the user's query intention, the government information management system will further analyze and extract key information and entity information, where entity information refers to specific objects or concepts with specific meanings in the text.

[0044] Taking the "Smart Supervision" module of the government WeChat workbench as an example, when a user enters the keyword "how to apply for a passport" in the search bar, "passport" is an important entity information.

[0045] Step A3: Combine the key information and entity information to generate keyword search results.

[0046] Optionally, based on the extracted key information and entity information, fuzzy matching is performed in combination with word roots to generate keyword search results.

[0047] Search results directly target the intent of the user's query and provide the most relevant and useful answers or guidance. In government services, this means providing specific application procedures, required documents, processing locations and times, etc.

[0048] Finally, the government information system presents the filtered and sorted results to the user. Each entry usually contains basic information such as title, summary, date, responsible department, etc., which makes it easy for users to quickly browse and locate the content of interest.

[0049] Step S24, analyzing the search results of the keyword to generate user behavior data.

[0050] After obtaining the search results of keywords, the government information system will analyze these search results to extract the user's preferences, interests and behavior patterns, including statistics on the user's query frequency, query time, query depth and other indicators for specific root words. Based on this information, user behavior data can be generated, including browsing history, click records, search keywords, dwell time and other information.

[0051] Step S30, performing pattern recognition and analysis on the user behavior data through a machine learning algorithm to obtain user access information; It should be noted that machine learning algorithms are a type of algorithm in the field of artificial intelligence that enables computer systems to automatically learn and improve their performance by learning and recognizing patterns from large amounts of data without being explicitly programmed.

[0052] In a feasible implementation, step S30 may include steps S31-S32: Step S31, performing pattern recognition and analysis on user behavior data through a machine learning algorithm to confirm a list of government information frequently accessed by the user; Select appropriate machine learning algorithms, such as decision trees, random forests, cluster analysis, etc., to identify user access patterns. Train the model and use historical data to let the model learn the rules of users accessing the sub-government information list.

[0053] Through the trained machine learning model, the list of sub-government information that users visit most frequently is identified. For example, if most users frequently visit "Work Dynamics" during weekdays and more often visit "Announcements" on weekends, the machine learning model can capture this pattern.

[0054] Step S32: acquiring user access information based on the list of government information frequently accessed by the user.

[0055] Once the sub-government information lists that users frequently visit are confirmed, the access frequency of each sub-government information list and the access patterns in different time periods can be counted in detail.

[0056] For example, a "Smart Supervision" module is added to the government WeChat workstation, which has three sub-government information lists: work dynamics, supervision exposure, and announcements and notifications.

[0057] By analyzing user behavior data through machine learning algorithms, we can identify a list of sub-government information that users frequently visit, such as "work dynamics", "supervision exposure", and "announcements and notifications", which one or which ones are visited the most.

[0058] Specifically, a machine learning algorithm is used to calculate the number of times each sub-government information list is visited, as well as the frequency of each user's visits to a specific sub-government information list; the time points when users visit these sub-government information lists are analyzed, such as whether the number of visits is greater during a fixed time period on weekdays; and the user's interest in different types of information is obtained, such as whether the user is more concerned about the update of a specific project in the "work status" or more concerned about problems in a certain area of ​​"supervision exposure."

[0059] By counting the access frequency of each sub-government information list and the access patterns in different time periods, the sub-government information lists frequently accessed by users can be identified and recorded.

[0060] In addition, based on the list of sub-government information that users frequently visit, personalized information recommendations can also be provided to users. For example, if a user frequently views "work dynamics", the latest work dynamics can be displayed to the user first, or if the user is particularly interested in "supervision exposure", the latest exposure information in related fields can be pushed regularly.

[0061] Step S40: adjusting the display order of the government information list in the navigation bar based on the user access information.

[0062] Based on user access information, the display order of the navigation bar is adaptively adjusted, and the list of frequently accessed government information is placed in a more prominent or easily accessible position, improving user experience and efficiency and reducing the time users spend looking for the information they need.

[0063] Further, in a feasible implementation manner, step S40 may include steps S42~S43: Step S41, based on the user access information, preset an adjustment strategy for the display order of the government information list in the navigation bar; In this embodiment, a strategy for adjusting the order of the sub-government information lists is set to adjust the physical location of the government information lists to ensure that the government information lists that are frequently accessed are easily accessible in the navigation bar.

[0064] When setting adjustment policies, you can collect and analyze user access data through the above steps to determine which government information lists, such as "Work Dynamics", "Supervision Exposure", and "Announcements and Notifications", are most frequently accessed by users. And consider the impact of access time on the priority of government information lists. For example, on weekdays and working hours, users may be more inclined to access "Work Dynamics" and "Announcements and Notifications", while they may be more interested in "Supervision Exposure" on weekends. Based on the above, Step S42: According to the adjustment strategy, the list of government affairs information frequently accessed by the user is adjusted to a corresponding position in the navigation bar.

[0065] Based on the order adjustment strategy of the sub-government information lists, the government information lists that are most frequently visited by users are adjusted to the front or most conspicuous position of the navigation bar, such as the upper left corner or the center, which is usually the area that is most likely to attract user attention and click.

[0066] In addition, the order of the navigation bar should not be static, but should be dynamically adjusted according to the real-time changes in the information accessed by users. For example, if it is monitored that the number of visits to the "supervision exposure" government information list has suddenly increased recently, it should be immediately moved to a more forward position.

[0067] In addition, please refer to Figure 3 , Figure 3 The first operation display diagram for users to switch the government information list. Please refer to Figure 4 , Figure 4 The second operation display diagram for users to switch the government information list.

[0068] Optionally, after adjusting the list of government information that the user frequently visits to the corresponding position, the user can arbitrarily click on the government information list in the preset navigation bar to achieve the purpose of query. For example, if the user wants to query the government information related to "supervision exposure", he can access the government information in the list by clicking the "Supervision Exposure" list in the navigation bar at the top of the page.

[0069] The above-mentioned embodiment method specifically receives government information input by a user and identifies the corresponding keywords of the government information; processes the corresponding keywords of the government information according to the fuzzy matching algorithm to obtain user behavior data, so that the government information system can better understand the keywords input by the user, and even if there are spelling errors or deformed forms, it can still find relevant government information and improve the accuracy of information retrieval; performs pattern recognition and analysis on user behavior data through machine learning algorithms to obtain user access information, and can identify user preferences, frequently used government projects and search habits, which is helpful for personalized recommendations and optimization services of the government information system; based on user access information, adjusts the display order of the government information list in the navigation bar, and puts the government projects that the user visits most frequently or recently, so as to reduce search time and improve the operating efficiency of web pages or applications.

[0070] Based on the first embodiment of the present application, in the second embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 5 Before step S23, the government information management method further includes steps S231 to S233: Step S231, performing text preprocessing on keywords corresponding to government information to obtain preprocessed keywords; Since government information contains a large number of formal documents, announcements, policy documents, etc., these texts may be highly structured, but may also contain some non-standard formats and terms. Therefore, it is necessary to pre-process government information and corresponding keywords to facilitate subsequent analysis.

[0071] Optionally, irrelevant information is removed from the keywords of government information, and professional terminology in the government field is standardized to ensure that different expressions of the same concept are unified.

[0072] For government documents in Chinese, a word segmenter suitable for Chinese is used for word segmentation, and part-of-speech tagging may be performed to assist in subsequent semantic understanding; for government documents in English, keyword stems can be extracted or parts of speech can be restored.

[0073] Step S232, converting the preprocessed keywords into corresponding vectors; Optionally, when performing keyword vectorization operations on government information, the special meaning of words in the government field should be taken into consideration, so the following methods can be selected: Use a pre-trained bag-of-words model to convert text into a word frequency vector. For government documents, the bag-of-words model captures the frequency of words that appear in the document; or use a word embedding model, the generated vector will better capture the professional terminology and contextual information in the government field.

[0074] Step S233: input the corresponding vector into a pre-trained deep learning model to obtain semantic information of the keywords corresponding to the government information.

[0075] It should be noted that the deep learning model learns the complex representation of data through multiple layers of nonlinear transformations and can automatically learn features from raw data.

[0076] Optionally, after obtaining vectors converted from keywords of government information, these vectors are input into a pre-trained deep learning model for learning and analysis. In the pre-trained deep learning model, a convolutional neural network is used to detect local patterns in short texts, such as identifying key phrases in policy statements. Then, a recurrent neural network is used to process long texts with sequential properties, such as the evolution of policies.

[0077] Through the above-mentioned embodiment method, meaningful language information is effectively extracted from government information, which facilitates subsequent keyword analysis and decision-making.

[0078] Based on the first embodiment of the present application, in the third embodiment of the present application, the same or similar contents as those in the above-mentioned embodiment 1 can be referred to the above introduction, and will not be repeated in the following. Figure 6 After step A2, the government information management method further includes step A21: Step A21, storing the keyword search results in a real-time index, and updating the real-time index.

[0079] It should be noted that a real-time index refers to an index in a search engine or database system that can update and retrieve data in real time.

[0080] Taking the "Smart Supervision" module of the government WeChat workstation as an example, when users enter keywords in the navigation bar to search, the system will store the search results in the index in real time and update the index immediately. This means that whether in the "Work Dynamics", "Supervision Exposure" or "Announcement and Notification" sub-government information lists, as long as there is any new information, the real-time index will quickly capture these changes and provide the latest results when the user searches next time.

[0081] If a new update about an environmental protection project is added to the "Work Dynamics" sub-government information list, the real-time index will immediately include this information and display it when the user searches for "environmental protection project", ensuring that the information the user obtains is the latest and most complete.

[0082] Through efficient management and updating of real-time indexes, users can be provided with a smooth and accurate search experience, while also improving the efficiency of information dissemination and the transparency of government work.

[0083] It should be noted that the above examples are only used to understand the present application and do not constitute a limitation on the government information management method of the present application. More simple transformations based on this technical concept are all within the scope of protection of the present application.

[0084] This application also provides a government information management device, please refer to Figure 7 , the government information management device comprises: The receiving module 10 is used to receive the government information input by the user and identify the keywords corresponding to the government information; A processing module 20 is used to process the keywords corresponding to the government information according to a fuzzy matching algorithm to obtain user behavior data; An analysis module 30 is used to perform pattern recognition and analysis on the user behavior data through a machine learning algorithm to obtain user access information; The adjustment module 40 is used to adjust the display order of the government information list in the navigation bar based on the user access information.

[0085] The government information management device provided by this application adopts the government information management method in the above embodiment, which can solve the technical problem of how to optimize the real-time and intelligent retrieval of government information. Compared with the prior art, the beneficial effects of the government information management device provided by this application are the same as the beneficial effects of the government information management method provided by the above embodiment, and other technical features in the government information management device are the same as the features disclosed in the above embodiment method, which will not be repeated here.

[0086] The present application provides a government information management device, which includes: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor so that the at least one processor can execute the government information management method in the above-mentioned embodiment one.

[0087] Reference below Figure 8 , which shows a schematic diagram of the structure of a government information management device suitable for implementing the embodiment of the present application. The government information management device in the embodiment of the present application may include but is not limited to mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (Personal Digital Assistants), PADs (Portable Application Descriptions), PMPs (Portable Media Players), etc., and fixed terminals such as digital TVs, desktop computers, etc. Figure 8The government information management device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0088] like Figure 8 As shown, the government information management device may include a processing device 1001 (such as a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM: Read Only Memory) 1002 or a program loaded from a storage device 1003 to a random access memory (RAM: Random Access Memory) 1004. In RAM1004, various programs and data required for the operation of the government information management device are also stored. The processing device 1001, ROM1002 and RAM1004 are connected to each other through a bus 1005. An input / output (I / O) interface 1006 is also connected to the bus. Generally, the following government information systems can be connected to the I / O interface 1006: an input device 1007 including, for example, a touch screen, a touch pad, a keyboard, a mouse, an image sensor, a microphone, an accelerometer, a gyroscope, etc.; an output device 1008 including, for example, a liquid crystal display (LCD: Liquid Crystal Display), a speaker, a vibrator, etc.; a storage device 1003 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 1009. The communication device 1009 can allow the government information management device to communicate with other devices wirelessly or by wire to exchange data. Although the figure shows a government information management device with various government information systems, it should be understood that it is not required to implement or have all the government information systems shown. More or fewer government information systems can be implemented or provided instead.

[0089] In particular, according to the embodiments disclosed in the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, the embodiments disclosed in the present application include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program includes a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network through a communication device, or installed from a storage device 1003, or installed from a ROM 1002. When the computer program is executed by the processing device 1001, the above-mentioned functions defined in the method of the embodiment disclosed in the present application are executed.

[0090] The government information management device provided by this application adopts the government information management method in the above embodiment, which can solve the technical problem of how to optimize the real-time and intelligent retrieval of government information. Compared with the prior art, the beneficial effects of the government information management device provided by this application are the same as the beneficial effects of the government information management method provided by the above embodiment, and other technical features in the government information management device are the same as the features disclosed in the method of the previous embodiment, which will not be repeated here.

[0091] It should be understood that the various parts disclosed in this application can be implemented by hardware, software, firmware or a combination thereof. In the description of the above embodiments, specific features, structures, materials or characteristics can be combined in any one or more embodiments or examples in a suitable manner.

[0092] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

[0093] The present application provides a computer-readable storage medium having computer-readable program instructions (ie, computer programs) stored thereon, and the computer-readable program instructions are used to execute the government information management method in the above-mentioned embodiment.

[0094] The computer-readable storage medium provided in the present application may be, for example, a USB flash drive, but is not limited to an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor government information system, government information system or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM: Random Access Memory), a read-only memory (ROM: Read Only Memory), an erasable programmable read-only memory (EPROM: Erasable Programmable Read Only Memory or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM: CD-Read Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction-executing government information system, a government information system or a device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency: Radio Frequency), etc., or any suitable combination of the above.

[0095] The above-mentioned computer-readable storage medium may be included in the government information management device; or it may exist independently without being installed in the government information management device.

[0096] The above-mentioned computer-readable storage medium carries one or more programs. When the above-mentioned one or more programs are executed by the government information management device, the government information management device: receives the government information input by the user and identifies the corresponding keywords of the government information; processes the corresponding keywords of the government information according to the fuzzy matching algorithm to obtain user behavior data; performs pattern recognition and analysis on the user behavior data through a machine learning algorithm to obtain user access information; and adjusts the display order of the government information list in the navigation bar based on the user access information.

[0097] Computer program code for performing the operations of the present application may be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the user's computer, partially on the user's computer, as a separate software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0098] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the government information system, method and computer program product according to various embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, a program segment, or a part of a code, and the module, program segment, or a part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order from the order marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of boxes in the block diagram and / or flowchart can be implemented with a dedicated hardware-based government information system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0099] The modules involved in the embodiments described in this application may be implemented by software or hardware, wherein the name of the module does not constitute a limitation on the unit itself in some cases.

[0100] The readable storage medium provided by the present application is a computer-readable storage medium, which stores computer-readable program instructions (i.e., computer programs) for executing the above-mentioned government information management method, and can solve the technical problem of how to optimize the real-time and intelligent retrieval of government information. Compared with the prior art, the beneficial effects of the computer-readable storage medium provided by the present application are the same as the beneficial effects of the government information management method provided by the above-mentioned embodiment, and will not be elaborated here.

[0101] The present application also provides a computer program product, including a computer program, which implements the steps of the above-mentioned government information management method when executed by a processor.

[0102] The computer program product provided by this application can solve the technical problem of how to optimize the real-time and intelligent retrieval of government information. Compared with the prior art, the beneficial effects of the computer program product provided by this application are the same as the beneficial effects of the government information management method provided by the above embodiment, which will not be repeated here.

[0103] The above descriptions are only some embodiments of the present application, and are not intended to limit the patent scope of the present application. All equivalent structural changes made using the contents of the present application specification and drawings under the technical concept of the present application, or direct / indirect applications in other related technical fields are included in the patent protection scope of the present application.

Claims

1. A government information management method, characterized in that: The method comprises: Receive government information input by the user and identify keywords corresponding to the government information; According to the fuzzy matching algorithm, the keywords corresponding to the government information are processed to obtain user behavior data; Performing pattern recognition and analysis on the user behavior data through a machine learning algorithm to obtain user access information; Based on the user access information, the display order of the government information list in the navigation bar is adjusted.

2. The method according to claim 1, characterized in that The step of processing the keywords corresponding to the government information according to the fuzzy matching algorithm to obtain the user behavior data includes: Build a synonym thesaurus; Mapping synonyms to corresponding word roots in the synonym thesaurus; Perform fuzzy matching of keywords corresponding to government affairs information with the root word to obtain keyword search results; The search results of the keywords are analyzed to generate user behavior data.

3. The method according to claim 2, characterized in that Before the step of fuzzy matching the keywords corresponding to the government information with the word roots to obtain the keyword search results, the method further includes: Perform text preprocessing on keywords corresponding to government information to obtain preprocessed keywords; Converting the preprocessed keywords into corresponding vectors; The corresponding vector is input into a pre-trained deep learning model to obtain semantic information of the keywords corresponding to the government information.

4. The method according to any one of claims 2 to 3, characterized in that The step of fuzzy matching the keywords corresponding to the government information with the word roots to obtain keyword search results includes: Through the context analysis algorithm, the semantic information of the keywords corresponding to the government information is used to identify the intention of the user's query; Analyze the user's query intent to obtain key information and entity information; The key information and entity information are combined to generate search results for the keywords.

5. The method according to claim 4, characterized in that After the step of combining the key information and the entity information to generate a keyword search result, the method further includes: The search results of the keywords are stored in a real-time index, and the real-time index is updated.

6. The method according to claim 1, characterized in that The step of performing pattern recognition and analysis on the user behavior data by a machine learning algorithm to obtain user access information comprises: Use machine learning algorithms to identify and analyze patterns in user behavior data and identify a list of government information that users frequently access; Based on the list of government information frequently accessed by the user, user access information is obtained.

7. The method according to claim 1, characterized in that The step of adjusting the display order of the government information list in the navigation bar based on the user access information includes: Based on user access information, a strategy for adjusting the display order of the government information list in the preset navigation bar; According to the adjustment strategy, the list of government affairs information frequently accessed by the user is adjusted to a corresponding position in the navigation bar.

8. A government information management device, characterized in that: The device comprises: A receiving module, used for receiving keywords corresponding to government affairs information; A processing module, used to process the keywords corresponding to the government information according to a fuzzy matching algorithm to obtain user behavior data; An analysis module, used to perform pattern recognition and analysis on the user behavior data through a machine learning algorithm to obtain user access information; The adjustment module is used to adjust the display order of the government information list in the navigation bar based on the user access information.

9. A government information management device, characterized in that: The device comprises: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program is configured to implement the steps of the government information management method as described in any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium is a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the government information management method as described in any one of claims 1 to 7 are implemented.

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