CN112836233B - E-government affair information service system and method based on big data analysis - Google Patents

E-government affair information service system and method based on big data analysis Download PDF

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CN112836233B
CN112836233B CN202110081326.1A CN202110081326A CN112836233B CN 112836233 B CN112836233 B CN 112836233B CN 202110081326 A CN202110081326 A CN 202110081326A CN 112836233 B CN112836233 B CN 112836233B
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government affair
data
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许建兵
李军
费维进
冯伟
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Anhui Suncn Pap Information Technology Co ltd
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Abstract

The invention relates to the technical field of government affair information processing, and particularly discloses an electronic government affair information service system and method based on big data analysis, wherein the electronic government affair information service system comprises a mode confirmation module: the system comprises a database, a user access request, a database access mode and a database connection channel, wherein the database access request is used for receiving the user access request, judging the user access mode based on the request and establishing the connection channel between the user and the database according to the access mode; a data updating module: the system comprises a database, a database and a database server, wherein the database is used for storing government affair data information; an output module: the system comprises a database, a database and a database server, and is used for acquiring user identity information, calling log data corresponding to the user information, extracting key words in the log data, outputting all government affair data information containing the key words in the database based on the key words extracted from the log data, and sequencing all government affair data information. The method is extremely convenient and fast in practical application, saves the time of visitors to a great extent, and improves the information collection efficiency.

Description

E-government affair information service system and method based on big data analysis
Technical Field
The invention relates to the technical field of government affair information processing, in particular to an electronic government affair information service system and method based on big data analysis.
Background
The government affair information management system uses electronic means to replace traditional fax, telephone, paper letter and other media, realizes the issuing and reporting of news, brief report, special report, file and other information between all levels of units, collects, compiles and releases the information, improves the work efficiency, and strengthens the business communication, letter and share between all levels of departments (horizontal and longitudinal). The platform realizes the information management and service of the functions of information submission, information collection and compilation, release approval, information management and the like.
The subordinate information submitting unit submits various information in real time through the system, and the information collecting and editing personnel of the superior unit collects, processes, compiles, edits and issues the information through the system and collects the government affair information automatically to form a report for various users to browse and inquire.
The existing technical problem is that with the improvement of storage technology, files are increasing, users often find useful information for themselves when browsing the files, especially for non-official personnel, so that government information needs to be processed and presented to visitors in a manner of being convenient to read.
Disclosure of Invention
The invention aims to provide an electronic government affair information service system and method based on big data analysis, so as to solve the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme:
an electronic government affair information service method based on big data analysis, the method comprising:
receiving a user access request, judging a user access mode based on the request, wherein the user access mode comprises a management mode and a browsing mode, and establishing a connection channel between the user and a database according to the access mode;
when the user access mode is the management mode, receiving government affair data information, and updating the government affair data information to the database;
when the user access mode is the browsing mode, acquiring user identity information, calling log data corresponding to the user information, extracting key words in the log data, outputting all government affair data information containing the key words in the database based on the key words extracted from the log data, and sequencing all government affair data information.
The technical scheme adopted by the embodiment of the invention is further limited as follows: the step of determining the user access pattern based on the request comprises:
obtaining login information containing a user ID, and determining user registration information corresponding to the login information;
and determining the user type based on the identification code in the user registration information, and determining a user access mode according to the user type.
The technical scheme adopted by the embodiment of the invention is further limited as follows: receiving government affair data information, and updating the government affair data information to the database comprises the following steps:
receiving government affair data information, and updating an index table, wherein the data structure of the index table is a queue;
acquiring the table space size of an index table in real time, and determining a threshold value;
when the table space size exceeds a threshold value and new government affair data information is received, inserting an index item corresponding to the government affair data information into the tail of the index table, deleting the head data of the index table, and deleting the government affair data information corresponding to the head data of the index table.
The technical scheme adopted by the embodiment of the invention is further limited as follows: the steps of acquiring user identity information and calling log data corresponding to the user identity information comprise:
acquiring personal basic information of a user based on the user identification number, and reading the occupation, the specialty and the mobile phone number of the user;
based on the user mobile phone number positioning interactive terminal, establishing a connection channel with the interactive terminal, and acquiring browsing frequency M of the common APP through the interactive terminaliAnd a browsing duration Ti；
Based on the browsing frequency MiAnd a browsing duration TiAnd calculating a preference value L of the user to the common APP, wherein the preference value L is calculated according to the following formula:
L＝α(M1T1+M2T2+M3T3+......+MiTi) I, where i is a time unit, MiIs the browsing frequency, T, of the common APPiAnd alpha is a correction coefficient, wherein alpha is the browsing duration of the common APP.
And sequencing the common APP based on the ascending order of the preference value L of the common APP.
The technical scheme adopted by the embodiment of the invention is further limited as follows: the step of extracting keywords based on the log data comprises the following steps:
obtaining search records in the common APP sequenced in an ascending order according to the preference value L through the interactive terminal;
extracting part or all nouns based on the search record;
and calculating the coincidence rate P of the nouns and the professional information in the professional information base, and screening out at least three keywords in a descending order according to the coincidence rate P.
The technical scheme adopted by the embodiment of the invention is further limited as follows: the step of ordering all the government affair data information comprises the following steps:
calculating the priority S of the keywords, wherein the calculation formula of the priority S is as follows:
and S is beta P/L, wherein P is the coincidence rate of the noun and the occupation information in the occupation information base, L is the preference value of the APP corresponding to the noun, and beta is a correction coefficient.
And arranging and outputting the government affair data information in a descending order based on the priority.
An electronic government affairs information service system based on big data analysis, the system comprising:
a mode confirmation module: the system comprises a database, a user access request, a database access mode and a database connection channel, wherein the database access request is used for receiving the user access request, judging the user access mode based on the request and establishing the connection channel between the user and the database according to the access mode;
a data updating module: the system comprises a database, a database and a database server, wherein the database is used for storing government affair data information;
an output module: the system comprises a database, a database and a database server, and is used for acquiring user identity information, calling log data corresponding to the user information, extracting key words in the log data, outputting all government affair data information containing the key words in the database based on the key words extracted from the log data, and sequencing all government affair data information.
The technical scheme adopted by the embodiment of the invention is further limited as follows: the output module includes:
an acquisition unit: the system comprises a server and a server, wherein the server is used for acquiring personal basic information of a user based on the user identification number and reading the occupation, the specialty and the mobile phone number of the user;
a tracking unit: the method comprises the steps of tracking a user common APP based on the user mobile phone number, and obtaining browsing frequency Mi and browsing duration Ti of the common APP;
a calculation unit: the method is used for calculating a preference value L of the user to the common APP based on the browsing frequency Mi and the browsing duration Ti;
a sorting unit: and sequencing the common APP based on the ascending order of the preference value L of the common APP.
Compared with the prior art, the invention has the beneficial effects that: according to the method, the user access mode comprises a management mode and a browsing mode, a connection channel between the user and the database is established according to the access mode, and the management mode has one function of receiving files more than the browsing mode, so that managers can upload the files conveniently; under the browsing mode, government affair data information is output according to user log data, the government affair data information is sequenced based on the priority S of the keywords, the priority S is in direct proportion to the coincidence rate P and in inverse proportion to the preference value L of the common APP, the coincidence rate P represents the attention degree of the user, the attention degree is irrelevant to the common APP, and the effect that the priority S is in inverse proportion to the preference value L of the common APP is that the more common the APP is, the higher the preference value L is, correspondingly, the government affair data information corresponding to the search record on the APP is arranged backwards, and therefore the user can browse conveniently and the degree of the user' S objectionality to information tracking is also reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention.
Fig. 1 is a system architecture diagram of an e-government information service method based on big data analysis.
Fig. 2 is a flow chart diagram of an e-government information service method based on big data analysis.
Fig. 3 is a first sub-flow block diagram of an e-government information service method based on big data analysis.
Fig. 4 is a second sub-flow block diagram of the e-government information service method based on big data analysis.
Fig. 5 is a third sub-flow block diagram of the e-government information service method based on big data analysis.
Fig. 6 is a fourth sub-flow block diagram of the e-government information service method based on big data analysis.
Fig. 7 is a block diagram showing a configuration of an electronic government information service system based on big data analysis.
Fig. 8 is a block diagram showing a configuration of an output module in the electronic government information service system based on big data analysis.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention more clearly apparent, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Fig. 1 shows a system architecture 100 of the big data analysis-based e-government information service method of the present invention.
As shown in fig. 1, the system architecture 100 may include interactive terminals 101, 102, 103, a network and a service device 104. The network may be a medium to provide a communication link between the interactive terminals 101, 102, 103 and the serving device 104. The network may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.
The user may interact with the service device 104 over a network using the interactive terminals 101, 102, 103 to receive or send messages or the like. The interactive terminals 101, 102, 103 may have various communication client applications installed thereon, such as an information consultation application, a call application, a search application, an instant messaging tool, a mailbox client, social platform software, and the like.
The interactive terminals 101, 102, 103 may be hardware or software. When the interactive terminals 101, 102, 103 are hardware, they may be various electronic devices having communication functions, including but not limited to smart phones, tablet computers, e-book readers, MP3 players, MP4 players, laptop portable computers, desktop computers, and the like. When the interactive terminals 101, 102, 103 are software, they can be installed in the electronic devices listed above. It may be implemented as multiple pieces of software or software modules, or as a single piece of software or software module. And is not particularly limited herein.
The service device 104 may be a server providing various services, such as a background server supporting machine translation type applications on the interactive terminals 101, 102, 103. The service device 104 may receive the access request sent by the interactive terminal 101, 102, 103, and then the service device 104 access request determines the user access mode, outputs and sorts the government affair data information, and then sends the government affair data information to the interactive terminal 101, 102, 103.
It should be noted that the electronic government affairs information service method based on big data analysis provided by the embodiment of the present disclosure is generally performed by the service device 104. Optionally, the e-government information service method based on big data analysis provided by the embodiment of the present disclosure may also be executed by the interactive terminals 101, 102, 103.
The server may be hardware or software. When the server is hardware, it may be implemented as a distributed server cluster formed by multiple servers, or may be implemented as a single server. When the server is software, it may be implemented as a plurality of software or software modules, or may be implemented as a single software or software module. And is not particularly limited herein.
It should be understood that the number of interactive terminals 101, 102, 103, networks and serving devices 104 in fig. 1 is merely illustrative. There may be any number of interactive terminals 101, 102, 103, networks and serving devices 104, as desired for the implementation.
Example 1
Fig. 2 is a flow chart illustrating an electronic government information service method based on big data analysis according to an embodiment of the present invention, which is described in detail below, and includes:
step S1: receiving a user access request, and judging the user access mode based on the request;
the user registration information is registered before logging in, because the user registration information is a website of a government department, the user ID can be an identity card number, the user types are mainly divided into two categories, one is a user who issues the information, the other is a user who browses the information, but the two are not completely separated, and the user who issues the information also has browsing requirements; the identification code is used as a standard for judging the authority, and corresponding authority is given according to the user type, namely, the function of information release is only opened for a small part of government workers; in the user login process, the service equipment receives a user access request, acquires login information containing a user ID, inquires corresponding user registration information according to the login information, judges the user type of the user and gives corresponding authority;
fig. 3 shows a block flow diagram of the step S1, the step S1 includes:
s11: acquiring user registration information, wherein the user registration information at least comprises a user ID and a user type;
the user registration information is registered before logging in, because the user registration information is a website of a government department, the user ID can be an identity card number, the user types are mainly divided into two categories, one is a user who issues the information, the other is a user who browses the information, but the two are not completely separated, and the user who issues the information also has browsing requirements;
s12: inserting a corresponding identification code into the user registration information based on the user type and storing the identification code to form user information with the identification code, wherein the identification code comprises a management identification code and a browsing identification code;
the identification code is used as a standard for judging the authority, and corresponding authority is given according to the user type, namely, the function of information release is only opened for a small part of government workers;
s13: receiving a user access request, acquiring login information containing a user ID, and determining user registration information corresponding to the login information;
in the user login process, the service equipment receives a user access request, acquires login information containing a user ID, inquires corresponding user registration information according to the login information, judges the user type of the user and gives corresponding authority;
s14: and determining the user type based on the identification code in the user registration information, and determining a user access mode according to the user type, wherein the user access mode comprises a management mode and a browsing mode.
Step S2: and establishing a connection channel between the user and the database according to the access mode.
The connection channels of different access modes are different, in the management mode, an input port of the government affair information database is opened, and in the browsing mode, the government affair information database is set to be in a read-only state.
Step S3: when the user access mode is the management mode, receiving government affair data information, and updating the government affair data information to the database;
the specific steps of updating to the database are as follows: generating a government affair information template file, receiving government affair information data, filling or replacing the government affair information template file, generating and storing the government affair information template file with the same format; the government affair information template is a doc file, the step is used for unifying file formats and facilitating operation, the doc file is generally edited by using a word document, and the word document can be externally connected with an application program and is convenient to edit;
further, after receiving government affair data information, updating an index table, wherein the data structure of the index table is a queue;
acquiring the table space size of an index table in real time, and determining a threshold value;
when the table space size exceeds a threshold value and new government affair data information is received, inserting an index item corresponding to the government affair data information into the tail of the index table, deleting the head data of the index table, and deleting the government affair data information corresponding to the head data of the index table.
Step S4: when the user access mode is a browsing mode, acquiring user identity information and calling log data corresponding to the user information;
the occupation and the specialty of the user are the first references in the browsing process, and the government department can naturally read the information through the identification number, and the read information is not commercial; in the current society, the mobile phone number also gradually becomes an information carrier of people, and the mobile phone number is required to be bound in many applications needing registration, so that the mobile phone number bears the daily behavior information of people; frequency of browsing MiThe times of logging in the APP by the user in a certain time range and the browsing duration TiThe online duration of the user on the APP can reflect the preference condition of the user on the APP; preference value L and browsing frequency MiAnd a browsing duration TiAre all in direct proportion, i is a time unit, and is used for calculating an average value in days, weeks, months or years; sorting based on the preference value L in ascending order means that the most common APPs are at the bottom and the less common APPs are ranked instead above.
Fig. 4 shows a block flow diagram of the step S4, the step S4 includes:
s41: acquiring personal basic information of a user based on the user identification number, and reading the occupation, the specialty and the mobile phone number of the user;
the occupation and the specialty of the user are the first references in the browsing process, and the government department can naturally read the information through the identification number, and the read information is not commercial; in the current society, the mobile phone number also gradually becomes an information carrier of people, and the mobile phone number is required to be bound in many applications needing registration, so that the mobile phone number bears the daily behavior information of people;
s42: based on the user mobile phone number positioning interactive terminal, establishing a connection channel with the interactive terminal, and acquiring browsing frequency M of the common APP through the interactive terminaliAnd a browsing duration Ti；
Frequency of browsing MiThe times of logging in APP by the user in a certain time range and the browsing durationTiThe online duration of the user on the APP can reflect the preference condition of the user on the APP;
s43: based on the browsing frequency MiAnd a browsing duration TiCalculating a preference value L of the user to the common APP;
further, the preference value L is calculated by the formula:
L＝α(M1T1+M2T2+M3T3+......+MiTi) I, where i is a time unit, MiIs the browsing frequency, T, of the common APPiThe browsing duration of the common APP is defined, and alpha is a correction coefficient; the correction coefficient alpha is used for processing the final value of the preference value L, so that the preference value is in the range of 0-100;
preference value L and browsing frequency MiAnd a browsing duration TiAre all proportional, i is the unit of time, day, week, month or year, used to calculate the mean.
S44: and sequencing the common APP based on the ascending order of the preference value L of the common APP.
Sorting based on the preference value L in ascending order means that the most common APPs are at the bottom and the less common APPs are ranked instead above.
Step S5: extracting key words in the log data, and outputting all government affair data information containing the key words in the database based on the key words extracted from the log data;
the most common APP is sequenced in the steps, and the search records in the common APP are easy to obtain no matter in ascending or descending order;
fig. 5 shows a block flow diagram of the step S5, the step S5 includes:
s51: obtaining search records in the common APP sequenced in an ascending order according to the preference value L through the interactive terminal;
the most common APP is sequenced in the steps, and the search records in the common APP are easy to obtain no matter in ascending or descending order; the nouns in the search memory are key points, when people use the search function of the APP to collect information, the probability of using the nouns is higher, in addition, the search mainly based on verbs is more biased to a search course, namely, a method for doing things, the association degree of the nouns and government affair data information to be displayed is not very high, therefore, only part or all of the nouns are extracted, and the efficiency can be greatly improved; the calculation method of the coincidence rate P is many, the realization is simple, the method belongs to the prior art, and only the purpose is achieved; calculating the coincidence rate P of the nouns and the professional information in the professional information base for classification, screening the extracted nouns according to the professional information, and finally obtaining the nouns with higher coincidence rate P as keywords; outputting government affair data information according to the keywords, wherein the contract degree of the government affair data information output in the mode and the user is higher, and most of the government affair data information is policies closely related to the user;
s52: extracting part or all nouns based on the search record;
the nouns in the search memory are key points, when people use the search function of the APP to collect information, the probability of using the nouns is higher, in addition, the search mainly based on verbs is more biased to a search course, namely, a method for doing things, the association degree of the nouns and government affair data information to be displayed is not very high, therefore, only part or all of the nouns are extracted, and the efficiency can be greatly improved;
s53: calculating the coincidence rate P of the nouns and the professional information in the professional information base, and screening out at least three keywords in a descending order according to the coincidence rate P;
the calculation method of the coincidence rate P is many, the realization is simple, the method belongs to the prior art, and only the purpose is achieved; calculating the coincidence rate P of the nouns and the professional information in the professional information base for classification, screening the extracted nouns according to the professional information, and finally obtaining the nouns with higher coincidence rate P as keywords;
s54: outputting all government affair data information containing the key words in the database;
and outputting the government affair data information according to the keywords, wherein the government affair data information output in the mode has higher degree of engagement with the user, and most of the government affair data information is policies closely related to the user.
Step S6: sequencing all the government affair data information;
fig. 6 shows a block flow diagram of the step S6, the step S6 includes:
s61: calculating the priority S of the keywords;
s62: arranging and outputting government affair data information in descending order based on the priority;
further, the calculation formula of the priority S is:
and S is beta P/L, wherein P is the coincidence rate of the noun and the occupation information in the occupation information base, L is the preference value of the APP corresponding to the noun, beta is a correction coefficient, and the correction coefficient beta is used for processing the final value of the preference value L so that the preference value is in the range of 0-10.
In addition, the career and the profession of the user are defaulted as a keyword, the priority S of the career and the profession of the user is assigned to be 11, that is, the priority S of the career and the profession of the user is the highest, which means that the government affairs data information corresponding to the career and the profession of the user is output at the top.
Example 2
Fig. 7 to 8 are block diagrams showing components of the big data analysis-based e-government information service system 10 according to an embodiment of the present invention, wherein the big data analysis-based e-government information service system 10 includes:
the mode confirmation module 11: the system comprises a database, a user access request, a database access mode and a database connection channel, wherein the database access request is used for receiving the user access request, judging the user access mode based on the request and establishing the connection channel between the user and the database according to the access mode;
the data update module 12: the system comprises a database, a database and a database server, wherein the database is used for storing government affair data information;
the output module 13: the system comprises a database, a database and a database server, and is used for acquiring user identity information, calling log data corresponding to the user information, extracting key words in the log data, outputting all government affair data information containing the key words in the database based on the key words extracted from the log data, and sequencing all government affair data information.
Further, fig. 3 is a block diagram illustrating a configuration of an output module 13 in the electronic government information service system 10 based on big data analysis according to an embodiment of the present invention, where the output module 13 includes:
the acquisition unit 131: the system comprises a server and a server, wherein the server is used for acquiring personal basic information of a user based on the user identification number and reading the occupation, the specialty and the mobile phone number of the user;
the tracking unit 132: the method comprises the steps of tracking a user common APP based on the user mobile phone number, and obtaining browsing frequency Mi and browsing duration Ti of the common APP;
the calculation unit 133: the method is used for calculating a preference value L of the user to the common APP based on the browsing frequency Mi and the browsing duration Ti;
the sorting unit 134: and sequencing the common APP based on the ascending order of the preference value L of the common APP.
The controller fetches instructions and analyzes the instructions one by one from the memory, then completes corresponding operations according to the instruction requirements, generates a series of control commands, enables all parts of the computer to automatically, continuously and coordinately act to form an organic whole, realizes the input of programs, the input of data, the operation and the output of results, and the arithmetic operation or the logic operation generated in the process is completed by the arithmetic unit; the Memory comprises a Read-Only Memory (ROM) for storing a computer program, and a protection device is arranged outside the Memory.
Illustratively, a computer program can be partitioned into one or more modules, which are stored in memory and executed by a processor to implement the present invention. One or more of the modules may be a series of computer program instruction segments capable of performing certain functions, which are used to describe the execution of the computer program in the terminal device.
Those skilled in the art will appreciate that the above description of the service device is merely exemplary and not limiting of the terminal device, and may include more or less components than those described, or combine certain components, or different components, such as may include input output devices, network access devices, buses, etc.
The Processor may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like, which is the control center of the terminal equipment and connects the various parts of the entire user terminal using various interfaces and lines.
The memory may be used to store computer programs and/or modules, and the processor may implement various functions of the terminal device by operating or executing the computer programs and/or modules stored in the memory and calling data stored in the memory. The memory mainly comprises a storage program area and a storage data area, wherein the storage program area can store an operating system, application programs (such as an information acquisition template display function, a product information publishing function and the like) required by at least one function and the like; the storage data area may store data created according to the use of the berth-state display system (e.g., product information acquisition templates corresponding to different product types, product information that needs to be issued by different product providers, etc.), and the like. In addition, the memory may include high speed random access memory, and may also include non-volatile memory, such as a hard disk, a memory, a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), at least one magnetic disk storage device, a Flash memory device, or other volatile solid state storage device.
The terminal device integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the modules/units in the system according to the above embodiment may be implemented by a computer program, which may be stored in a computer-readable storage medium and used by a processor to implement the functions of the embodiments of the system. Wherein the computer program comprises computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, U.S. disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution media, and the like.
It should be noted that, in this document, 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, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.

Claims (4)

1. An electronic government affair information service method based on big data analysis is characterized by comprising the following steps:
receiving a user access request, judging a user access mode based on the request, wherein the user access mode comprises a management mode and a browsing mode, and establishing a connection channel between the user and a database according to the access mode;
when the user access mode is the management mode, receiving government affair data information, and updating the government affair data information to the database;
when the user access mode is a browsing mode, acquiring user identity information, calling log data corresponding to the user information, extracting key words in the log data, outputting all government affair data information containing the key words in the database based on the key words extracted from the log data, and sequencing all government affair data information;
the step of acquiring the user identity information and calling the log data corresponding to the user identity information comprises the following steps:
acquiring personal basic information of a user based on the user identification number, and reading the occupation, the specialty and the mobile phone number of the user;
positioning an interactive terminal based on the user mobile phone number, establishing a connection channel with the interactive terminal, and acquiring browsing frequency Mi and browsing duration Ti of the common APP through the interactive terminal;
based on the browsing frequency Mi and the browsing duration Ti, calculating a preference value L of the user to the common APP, wherein the preference value L is calculated according to the following formula:
l ═ α (M1T1+ M2T2+ M3T3+.... + MiTi)/i, where i is a time unit, Mi is browsing frequency of the common APP, Ti is browsing duration of the common APP, and α is a correction coefficient;
sequencing the common APP based on the ascending order of the preference value L of the common APP;
the step of extracting keywords based on the log data comprises the following steps:
obtaining search records in the common APP sequenced in an ascending order according to the preference value L through the interactive terminal;
extracting part or all nouns based on the search record;
calculating the coincidence rate P of the nouns and the professional information in the professional information base, and screening out at least three keywords in a descending order according to the coincidence rate P;
the step of ordering all the government affair data information comprises the following steps:
calculating the priority S of the keywords, wherein the calculation formula of the priority S is as follows:
s is beta P/L, wherein P is the coincidence rate of the noun and the occupation information in the occupation information base, L is the preference value of the APP corresponding to the noun, and beta is a correction coefficient;
and arranging and outputting the government affair data information in a descending order based on the priority.
2. The electronic government information service method based on big data analysis according to claim 1, wherein the step of judging the user access pattern based on the request comprises:
obtaining login information containing a user ID, and determining user registration information corresponding to the login information;
and determining the user type based on the identification code in the user registration information, and determining a user access mode according to the user type.
3. The electronic government information service method based on big data analysis according to claim 2, wherein the step of receiving government data information and updating the government data information to the database comprises:
receiving government affair data information, and updating an index table, wherein the data structure of the index table is a queue;
acquiring the table space size of an index table in real time, and determining a threshold value;
when the table space size exceeds a threshold value and new government affair data information is received, inserting an index item corresponding to the government affair data information into the tail of the index table, deleting the head data of the index table, and deleting the government affair data information corresponding to the head data of the index table.
4. An electronic government affairs information service system based on big data analysis, which is characterized by comprising:
a mode confirmation module: the system comprises a database, a user access request, a database access mode and a database connection channel, wherein the database access request is used for receiving the user access request, judging the user access mode based on the request and establishing the connection channel between the user and the database according to the access mode;
a data updating module: the system comprises a database, a database and a database server, wherein the database is used for storing government affair data information;
an output module: the system comprises a database, a user identity information acquisition module, a database management module and a database management module, wherein the database is used for acquiring user identity information, calling log data corresponding to the user information, extracting key words in the log data, outputting all government affair data information containing the key words in the database based on the key words extracted from the log data, and sequencing all government affair data information;
the step of acquiring the user identity information and calling the log data corresponding to the user identity information comprises the following steps:
acquiring personal basic information of a user based on the user identification number, and reading the occupation, the specialty and the mobile phone number of the user;
positioning an interactive terminal based on the user mobile phone number, establishing a connection channel with the interactive terminal, and acquiring browsing frequency Mi and browsing duration Ti of the common APP through the interactive terminal;
based on the browsing frequency Mi and the browsing duration Ti, calculating a preference value L of the user to the common APP, wherein the preference value L is calculated according to the following formula:
l ═ α (M1T1+ M2T2+ M3T3+.... + MiTi)/i, where i is a time unit, Mi is browsing frequency of the common APP, Ti is browsing duration of the common APP, and α is a correction coefficient;
sequencing the common APP based on the ascending order of the preference value L of the common APP;
the step of extracting keywords based on the log data comprises the following steps:
obtaining search records in the common APP sequenced in an ascending order according to the preference value L through the interactive terminal;
extracting part or all nouns based on the search record;
calculating the coincidence rate P of the nouns and the professional information in the professional information base, and screening out at least three keywords in a descending order according to the coincidence rate P;
the step of ordering all the government affair data information comprises the following steps:
calculating the priority S of the keywords, wherein the calculation formula of the priority S is as follows:
s is beta P/L, wherein P is the coincidence rate of the noun and the occupation information in the occupation information base, L is the preference value of the APP corresponding to the noun, and beta is a correction coefficient;
and arranging and outputting the government affair data information in a descending order based on the priority.
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