CN112784158A - Online personalized recommendation method and system for e-government affairs handling - Google Patents
Online personalized recommendation method and system for e-government affairs handling Download PDFInfo
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Abstract
The invention is suitable for the field of electronic government affairs, and particularly relates to an electronic government affair handling oriented online personalized recommendation method, which comprises the following steps: constructing a government affair item-website corresponding table; acquiring character information input by a user; performing feature extraction on the character information and generating a feature extraction vector; traversing a government affair item-website corresponding table according to the feature extraction vector to generate an access path sequence table; accessing the corresponding web pages according to the sequence of the access paths recorded in the access path sequence list, and generating thumbnails of the corresponding web pages; and recommending the corresponding thumbnails to the user according to the sequence of accessing the webpage. According to the method, the character information is correspondingly processed, so that related keywords are directly obtained from the character information, and a corresponding webpage is recommended for the keyword; for the user, the corresponding webpage can be directly transferred by one-time typing, the operation that the user needs to independently select and type for multiple times is avoided, the convenience is greatly improved, and the requirement on the user is lower.
Description
Technical Field
The invention belongs to the field of electronic government affairs, and particularly relates to an electronic government affair handling oriented online personalized recommendation method and system.
Background
With the diffusion and application of new information technology mainly based on the internet in each part of economic and social life, the internet and government affairs are based on an electronic government affair service platform, and the government organization structure and the work flow are optimized and recombined with the aim of realizing intelligent governments. The traditional electronic government affair system lacks accurate service facing to individual requirements of users, and independent, multi-source and heterogeneous government affair information increases the difficulty of handling affairs of the users. The electronic government affair system combined with personalized recommendation can perform modeling analysis according to the user portrait and the dynamic behavior characteristics, push related items according with the user characteristics, and further improve user experience.
E-government is a system project that should meet three basic conditions: first, electronic government affairs are comprehensive service systems which must be assisted by electronic informatization hardware systems, digital network technology and related software technology; hardware part: the system comprises an internal local area network, an external internet, a system communication system, a special line and the like; a software part: large-scale database management systems, information transmission platforms, rights management platforms, document formation and approval upload systems, news distribution systems, service management systems, policy and regulation distribution systems, user service and management systems, personnel and archive management systems, welfare and housing accumulation management systems … …, and the like. Second, e-government is a comprehensive system that deals with open, internal matters related to the government. The system comprises administrative affairs in government organs, and also comprises administrative affairs of legislation, judicial departments and other public organizations, such as inspection affairs, auditing affairs, community affairs and the like; third, electronic government is a new, advanced, revolutionary government management system. E-government does not simply move traditional government management affairs intact to the internet, but rather organizes them into a reorganization of structure and re-creation of business processes. Therefore, the electronic government has a significant difference between the management and the traditional government management.
But is still not very convenient in the current e-government application. Firstly, for the government affair platform, the content covered by the government affair platform is very complicated, and for the characteristics, the government affair platform generally adopts a column-type structure, different contents are placed in different columns, and a retrieval frame is arranged for each column. The user generally needs to select different columns according to needs when facing to a lot of information, then enters keywords into a retrieval frame of the column, and the retrieval frame can only retrieve one keyword each time, so that a lot of information generally exists and the user needs to screen and select the information by himself. Therefore, there is a need for an e-government recommendation method that can reduce the number of autonomous selections and screenings performed by a user.
Disclosure of Invention
The embodiment of the invention aims to provide an electronic government affair handling oriented online personalized recommendation method, and aims to solve the problems in the background art.
The embodiment of the invention is realized in such a way that an online personalized recommendation method for electronic government affairs handling comprises the following steps:
constructing a government affair item-website corresponding table;
acquiring character information input by a user;
performing feature extraction on the character information and generating a feature extraction vector;
traversing a government affair item-website corresponding table according to the feature extraction vector to generate an access path sequence table;
accessing the corresponding web pages according to the sequence of the access paths recorded in the access path sequence list, and generating thumbnails of the corresponding web pages;
and recommending the corresponding thumbnails to the user according to the sequence of accessing the webpage.
Preferably, the step of constructing the government affair item-website address correspondence table specifically includes:
establishing a government affair database;
reading a government affair item list stored in a government affair database;
reading a government affair website list stored in a government affair database;
and establishing a government affair item-website corresponding table according to the government affair item detail table and the government affair website detail table.
Preferably, the step of performing feature extraction on the text information and generating a feature extraction vector specifically includes:
establishing a keyword fuzzy matching database;
freely combining the character information to obtain a combined keyword table;
searching the keyword fuzzy matching database according to the combined keyword table to obtain a search result;
and generating a feature extraction vector according to the retrieval result.
Preferably, the step of traversing the government affair item-website correspondence table according to the feature extraction vector to generate the access path sequence table specifically includes:
reading a feature extraction vector;
traversing the government affair item-website corresponding table according to the feature extraction vector to obtain a government affair item access list;
and generating an access path sequence list according to the transaction item access list.
Preferably, the step of accessing the corresponding web pages according to the sequence of the access paths recorded in the access path sequence table and generating the thumbnails of the corresponding web pages includes:
reading an access path sequence table, wherein the access path sequence table at least records websites corresponding to each government affair and the sequence of accessing each website;
and accessing the websites one by one according to the sequence of accessing the websites, and generating corresponding thumbnails after accessing, wherein the thumbnails at least record the names of the government affair matters and the material lists required for handling the government affair matters.
Preferably, the step of establishing a keyword fuzzy matching database specifically includes:
acquiring a keyword lexicon;
taking each keyword in the keyword lexicon as a reference item, and crawling fuzzy keywords close to the word meaning in the network;
all fuzzy keywords and the link relation between the keywords and the fuzzy keywords are stored.
Preferably, the searching the keyword fuzzy matching database according to the combined keyword table further comprises performing wrongly written or mispronounced word correction processing on the combined keyword.
Another object of an embodiment of the present invention is to provide an electronic government affairs oriented online personalized recommendation system, including:
the database construction module is used for constructing a government affair item-website corresponding table;
the user information acquisition module is used for acquiring character information input by a user;
the characteristic vector extraction module is used for extracting the characteristics of the text information and generating a characteristic extraction vector;
the access path generation module is used for traversing the government affair item-website corresponding table according to the feature extraction vector to generate an access path sequence table;
the thumbnail generation module is used for accessing the corresponding webpage according to the sequence of the access paths recorded in the access path sequence list and generating thumbnails of the corresponding webpage;
and the thumbnail recommendation module is used for recommending the corresponding thumbnails to the user according to the sequence of accessing the webpage.
It is a further object of embodiments of the present invention to provide a computer device, comprising a memory and a processor, the memory having stored therein a computer program, which, when executed by the processor, causes the processor to carry out the steps of the e-government-affairs oriented online personalized recommendation method according to any of claims 1 to 7.
It is a further object of an embodiment of the present invention to provide a computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, causes the processor to carry out the steps of the e-government-affairs oriented online personalized recommendation method according to any one of claims 1 to 7.
According to the online personalized recommendation method for electronic government affairs handling, provided by the embodiment of the invention, the character information input by a user is received, and then the character information is correspondingly processed, so that related keywords are directly obtained from the character information, and then a corresponding webpage is recommended for the character information according to the keywords; therefore, for a user, the user can directly transfer to the corresponding webpage through one-time typing, the operation that the user needs to independently select and type for multiple times is avoided, the convenience is greatly improved, and the requirement on the user is lower.
Drawings
Fig. 1 is a work flow chart of an electronic government affairs oriented online personalized recommendation method according to an embodiment of the present invention;
fig. 2 is a flowchart of a process of constructing a government affairs-website address correspondence table according to an embodiment of the present invention;
fig. 3 is a flowchart of a process of extracting features of the text information and generating feature extraction vectors according to the embodiment of the present invention;
fig. 4 is a flowchart of a process of traversing a government affairs item-website address correspondence table according to a feature extraction vector to generate an access path sequence table according to the embodiment of the present invention;
fig. 5 is a flowchart of a process of accessing corresponding web pages according to the sequence of access paths recorded in the access path sequence table and generating thumbnails of the corresponding web pages according to the embodiment of the present invention;
FIG. 6 is a flowchart of a process for building a fuzzy matching database for keywords according to an embodiment of the present invention;
fig. 7 is an architecture diagram of an electronic government affairs oriented online personalized recommendation system according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further 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.
It will be understood that, as used herein, the terms "first," "second," and the like may be used herein to describe various elements, but these elements are not limited by these terms unless otherwise specified. These terms are only used to distinguish one element from another. For example, a first xx script may be referred to as a second xx script, and similarly, a second xx script may be referred to as a first xx script, without departing from the scope of the present application.
According to the online personalized recommendation method for electronic government affairs handling, provided by the embodiment of the invention, the character information input by a user is received, and then the character information is correspondingly processed, so that related keywords are directly obtained from the character information, and then a corresponding webpage is recommended for the character information according to the keywords; therefore, for a user, the user can directly transfer to the corresponding webpage through one-time typing, the operation that the user needs to independently select and type for multiple times is avoided, the convenience is greatly improved, and the requirement on the user is lower.
Example 1:
fig. 1 is a work flow chart of an electronic government affairs oriented online personalized recommendation method according to an embodiment of the present invention;
the online personalized recommendation method for electronic government affairs handling is suitable for computer equipment with a display function, the computer equipment is required to be provided with a data input end, the computer equipment can be a mobile client such as a desktop computer, a notebook computer or a mobile phone and the like, and can also be other servers with the functions, and the data input end can be a keyboard and can also be other auxiliary equipment capable of inputting information to the computer equipment.
The current e-government platform is a network tool, and needs to have the functions of publicizing and transacting for the creator. Therefore, the existing electronic government platform is not only used for handling affairs, but also used for publicity. The information on the e-government affair platform is very much, and in order to ensure clear orderliness, the e-government affair platform can be classified according to the attributes and the categories of affairs, so that a user can conveniently and independently select the affairs when using the e-government affair platform. For the user, after logging in the e-government platform, it is necessary to autonomously determine which category the service to be handled belongs to, and therefore, it is necessary to screen the information by himself, which is troublesome. In particular, there are many items related to the item, and therefore, the item name is difficult to distinguish, and therefore, there is a problem that the user often selects the wrong item type. The invention is used for providing a solution for the existing e-government platform.
The electronic government affair transaction oriented online personalized recommendation method is detailed as follows:
s101, building a government affair item-website corresponding table.
In this step, it is necessary to implement the construction of a government affair item-web address correspondence table, where the government affair item-web address correspondence table is used to record all government affair items, and each government affair item has a corresponding web address, and the two are associated in the government affair item-web address correspondence table.
And S102, acquiring character information input by the user.
In the step, the character information typed by the user is directly obtained, the character information can be typed by the user through a keyboard, or can be input by voice and the like, and the user expresses the affair which the user wants to transact through the character information; the text information input by the keyboard can be directly processed, and for the text information input by other input modes, the text information needs to be converted into the text information through conversion, for example, if the voice input is adopted, the text information needs to be converted into the text information firstly.
And S103, performing feature extraction on the character information and generating a feature extraction vector.
In this step, the text information is processed to extract the text information features contained therein, and then the extracted information is used as a single element to form a feature extraction vector, each element in the feature extraction vector records information related to the government affairs, so the content described by the elements in the feature extraction vector can be the name, date, category, material, text date, etc. related to the government affairs.
And S104, traversing the government affair item-website corresponding table according to the feature extraction vector, and generating an access path sequence table.
In this step, each element of the feature extraction vector is read first, then, according to each element, a corresponding government affair item-web address corresponding table is accessed, a corresponding government affair item is found in the government affair item-web address corresponding table, and a corresponding web address is read to generate an access path sequence table, the items and the corresponding web addresses thereof are directly recorded in the access path sequence table and are sorted, the government affair items are arranged according to a tree structure, the classification of the government affair items is more and more detailed, therefore, each government affair item is sorted according to the connection relation between the government affair items, and the access path sequence table is sorted according to the sequence.
And S105, accessing the corresponding webpage according to the sequence of the access paths recorded in the access path sequence list, and generating the thumbnail of the corresponding webpage.
In this step, the access path sequence table has recorded the sequence of access in detail, so that the corresponding web pages are sequentially accessed according to the sequence, and after each access is finished, the corresponding web page thumbnail is generated.
And S106, recommending the corresponding thumbnails to the user according to the sequence of accessing the webpage.
In this step, the arrangement order of the current webpage thumbnails has been sorted, and all the thumbnails need to be displayed to the user in the order according to the above-mentioned order.
Example 2:
fig. 2 is a flowchart of a process of constructing a government affairs-website address correspondence table according to an embodiment of the present invention.
The flow chart depicted in figure 2 includes the following steps,
s201, establishing a government affair database.
In this step, a government affairs database is established, and a government affairs item statement table and a government affairs website statement table are stored in the government affairs database.
S202, reading a government affair detail list stored in a government affair database.
In this step, all the government affair items and the labels of the plates are directly read from the government affair item list, the government affair item list is in a tree structure, the recorded government affair items are classified step by step, which is exemplified as follows: the business of the e-government platform has two main boards A1 and A2, two sub boards are respectively arranged under the A1 board and the A2 board, namely B1, B2, B3 and B4, and the like backwards on the basis of the two main boards, so that each item has a number, wherein letters represent items at different levels, the letters gradually specify corresponding items according to the sequence of A-Z, and the numbers represent the arrangement sequence of the items between the same levels.
S203, reading a government affair website list stored in the government affair database.
In this step, all the websites are directly read from the website of the government affairs, and the detailed list of the website of the government affairs records many related websites existing in the electronic government affairs platform.
S204, establishing a government affair item-website corresponding table according to the government affair item detail table and the government affair website detail table.
In this step, the government affair items are extracted one by one, and then the corresponding website is linked with the website to finally obtain the corresponding table of the government affair item-website.
Example 3:
fig. 3 is a flowchart of a process of extracting features of the text information and generating a feature extraction vector according to an embodiment of the present invention.
The flow chart depicted in figure 3 includes the following steps,
s301, establishing a keyword fuzzy matching database.
In this step, a keyword fuzzy matching database is first established, the keyword is the name of each government affair item, and the corresponding government affair item can be found according to the corresponding keyword, which is also adopted in the existing e-government platform, but for the user, the input information is not completely accurate, and at this time, fuzzy judgment needs to be performed
S302, the character information is freely combined to obtain a combined keyword table.
In the step, after acquiring the text information input by the user, firstly, extracting keywords, wherein in the extracting process, each text in the text information is labeled, and the characters are marked as W1 and W2 … … Wn in sequence according to the input sequence, so that when the sorting process is carried out, the method comprises the following steps of firstly, taking W1 as a basis, then, forming a first group of keywords to be judged (W1W2) by the immediately following W2 and the keywords to be judged, further, forming a second group of keywords to be judged (W1W2W3) by the W3 after the first group of keywords to be judged continues to follow W2, and repeating the processes until the nth group; step two, firstly, based on W2, the same as the step one, until the group n-1; repeating the steps until the combination of the keywords is completed, and storing the combination of the keywords in a combined keyword table;
the following is illustrated with the following formula:
step one, obtaining combined keywords W1W2, W1W2W3, … … and W1W2 … … Wn;
step two, obtaining combined keywords W2W3, W2W3W4, … … and W2W3 … … Wn;
……
step N-1, obtaining a combined keyword Wn-1Wn
S303, searching the keyword fuzzy matching database according to the combined keyword table to obtain a searching result.
In this step, a search is performed according to the data of all the combined keywords in the combined keyword table in the keyword fuzzy matching database, and if a matching item exists, the keyword is stored, so that a search result is obtained.
And S304, generating a feature extraction vector according to the retrieval result.
In this step, a feature extraction vector is generated with the keyword recorded in the search result as an element.
In this embodiment, before retrieving the keyword fuzzy matching database according to the combined keyword table, performing wrongly written character correction processing on the combined keyword is further included.
Example 4:
fig. 4 is a flowchart of a process of traversing a government affairs-website address correspondence table according to a feature extraction vector to generate an access path sequence table according to the embodiment of the present invention.
The flow chart depicted in figure 4 includes the following steps,
s401, reading the feature extraction vector.
In this step, the feature extraction vector is read first, and all elements in the feature extraction vector are analyzed, wherein each element is a group of keywords.
S402, traversing the government affair item-website corresponding table according to the feature extraction vector to obtain a government affair item access list.
In this step, the keywords recorded in each element are retrieved in the government affair item-website correspondence table, so as to obtain a series of websites according to the correspondence between the affair and the websites, and the websites are the websites corresponding to the government affair items. The government affair matters are in a tree structure, wherein the recorded government affair matters are classified step by step, which is illustrated as follows: the business of the e-government platform has two main boards A1 and A2, two sub boards are respectively arranged under the board A1 and the board A2, namely B1, B2, B3 and B4, and the like backwards on the basis of the two main boards, each item has a number, wherein letters represent items of different levels, the letters gradually specify the corresponding items according to the sequence of A-Z, the numbers represent the arrangement sequence of the items between the same level, and the arrangement sequence of the websites can be determined according to the sequence.
S403, generating an access path sequence list according to the transaction item access list.
In this step, an access path sequence table is generated according to the transaction item access list, and the access path sequence table records the websites according to the access sequence, so that subsequent operations are facilitated.
Example 5:
fig. 5 is a flowchart of a process of accessing a corresponding web page according to a sequence of access paths recorded in an access path sequence table and generating a thumbnail of the corresponding web page according to the embodiment of the present invention.
The flow chart depicted in figure 5 includes the following steps,
s501, reading an access path sequence table, wherein the access path sequence table at least records websites corresponding to each government affair and the sequence of accessing each website.
S502, the websites are visited one by one according to the sequence of visiting the websites, and corresponding thumbnails are generated after visiting, wherein the thumbnails at least record the names of the government affair matters and the material lists required for handling the government affair matters.
In the process, an access path sequence table is read, websites are recorded in the access path sequence table according to the access sequence, then, each website is accessed according to the recorded sequence, corresponding thumbnails are generated according to the webpage corresponding to the website after the website is accessed, main content contained in the webpage and materials required by the website corresponding to the government affair matters are recorded in each thumbnail, and therefore a user can conveniently select the main content and the materials.
Example 6:
fig. 6 is a flowchart of a process of establishing a keyword fuzzy matching database according to an embodiment of the present invention.
The flow chart depicted in figure 6 includes the following steps,
s601, acquiring a keyword lexicon;
s602, crawling fuzzy keywords close to the word senses in the network by taking each keyword in the keyword lexicon as a reference item;
in this step, the keyword fuzzy matching database stores not only correct keywords, but also fuzzy keywords having the same meaning or similar meaning as the keywords, and the fuzzy keywords can be obtained by crawling from the network based on the keywords.
S602, storing all fuzzy keywords and the link relation between the keywords and the fuzzy keywords.
In this step, the keyword is used as a core, and a link relationship is established between the keyword and the fuzzy keyword synonymous with the keyword, so that when matching is performed, the corresponding keyword can be found according to the fuzzy keyword.
Example 7:
fig. 7 is an architecture diagram of an e-government-affairs oriented online personalized recommendation system for a computer device with a display screen according to an embodiment of the present invention, where the e-government-affairs oriented online personalized recommendation system includes:
the database construction module is used for constructing a government affair item-website corresponding table;
the user information acquisition module is used for acquiring character information input by a user;
the characteristic vector extraction module is used for extracting the characteristics of the text information and generating a characteristic extraction vector;
the access path generation module is used for traversing the government affair item-website corresponding table according to the feature extraction vector to generate an access path sequence table;
the thumbnail generation module is used for accessing the corresponding webpage according to the sequence of the access paths recorded in the access path sequence list and generating thumbnails of the corresponding webpage;
and the thumbnail recommendation module is used for recommending the corresponding thumbnails to the user according to the sequence of accessing the webpage.
In this embodiment, a database construction module is used to create and construct a government affair item-website address correspondence table, a user information acquisition module is used to acquire character information entered by a user, a feature vector extraction module is used to perform feature extraction on the character information and generate a feature extraction vector, and an access path generation module is used to traverse the government affair item-website address correspondence table according to the feature extraction vector and generate an access path sequence table; accessing the corresponding webpage according to the sequence of the access paths recorded in the access path sequence list through a thumbnail generation module, and generating thumbnails of the corresponding webpage; and recommending the corresponding thumbnails to the user according to the sequence of accessing the webpage through a thumbnail recommending module.
In one embodiment, a computer device is proposed, the computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
constructing a government affair item-website corresponding table;
acquiring character information input by a user;
performing feature extraction on the character information and generating a feature extraction vector;
traversing a government affair item-website corresponding table according to the feature extraction vector to generate an access path sequence table;
accessing the corresponding web pages according to the sequence of the access paths recorded in the access path sequence list, and generating thumbnails of the corresponding web pages;
and recommending the corresponding thumbnails to the user according to the sequence of accessing the webpage.
In one embodiment, a computer readable storage medium is provided, having a computer program stored thereon, which, when executed by a processor, causes the processor to perform the steps of:
constructing a government affair item-website corresponding table;
acquiring character information input by a user;
performing feature extraction on the character information and generating a feature extraction vector;
traversing a government affair item-website corresponding table according to the feature extraction vector to generate an access path sequence table;
accessing the corresponding web pages according to the sequence of the access paths recorded in the access path sequence list, and generating thumbnails of the corresponding web pages;
and recommending the corresponding thumbnails to the user according to the sequence of accessing the webpage.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.
Claims (10)
1. An electronic government affair handling oriented online personalized recommendation method is characterized by comprising the following steps:
constructing a government affair item-website corresponding table;
acquiring character information input by a user;
performing feature extraction on the character information and generating a feature extraction vector;
traversing a government affair item-website corresponding table according to the feature extraction vector to generate an access path sequence table;
accessing the corresponding web pages according to the sequence of the access paths recorded in the access path sequence list, and generating thumbnails of the corresponding web pages;
and recommending the corresponding thumbnails to the user according to the sequence of accessing the webpage.
2. The electronic government affair oriented online personalized recommendation method according to claim 1, wherein the step of constructing the government affair item-website correspondence table specifically comprises:
establishing a government affair database;
reading a government affair item list stored in a government affair database;
reading a government affair website list stored in a government affair database;
and establishing a government affair item-website corresponding table according to the government affair item detail table and the government affair website detail table.
3. The e-government affair transaction oriented online personalized recommendation method according to claim 1, wherein the step of performing feature extraction on the text information and generating a feature extraction vector specifically comprises:
establishing a keyword fuzzy matching database;
freely combining the character information to obtain a combined keyword table;
searching the keyword fuzzy matching database according to the combined keyword table to obtain a search result;
and generating a feature extraction vector according to the retrieval result.
4. The e-government affair transaction oriented online personalized recommendation method according to claim 1, wherein the step of traversing the government affair item-website correspondence table according to the feature extraction vector to generate the access path sequence table specifically comprises:
reading a feature extraction vector;
traversing the government affair item-website corresponding table according to the feature extraction vector to obtain a government affair item access list;
and generating an access path sequence list according to the transaction item access list.
5. The e-government affair transaction oriented online personalized recommendation method according to claim 1, wherein the step of accessing the corresponding web pages according to the sequence of the access paths recorded in the access path sequence list and generating the thumbnails of the corresponding web pages specifically comprises:
reading an access path sequence table, wherein the access path sequence table at least records websites corresponding to each government affair and the sequence of accessing each website;
and accessing the websites one by one according to the sequence of accessing the websites, and generating corresponding thumbnails after accessing, wherein the thumbnails at least record the names of the government affair matters and the material lists required for handling the government affair matters.
6. The e-government affair oriented online personalized recommendation method according to claim 3, wherein the step of establishing the keyword fuzzy matching database specifically comprises:
acquiring a keyword lexicon;
taking each keyword in the keyword lexicon as a reference item, and crawling fuzzy keywords close to the word meaning in the network;
all fuzzy keywords and the link relation between the keywords and the fuzzy keywords are stored.
7. The e-government affairs oriented online personalized recommendation method according to claim 3, wherein before retrieving the keyword fuzzy matching database according to the combined keyword table, further comprising performing wrongly written or mispronounced word correction processing on the combined keyword.
8. An electronic government affairs oriented online personalized recommendation system is characterized by comprising:
the database construction module is used for constructing a government affair item-website corresponding table;
the user information acquisition module is used for acquiring character information input by a user;
the characteristic vector extraction module is used for extracting the characteristics of the text information and generating a characteristic extraction vector;
the access path generation module is used for traversing the government affair item-website corresponding table according to the feature extraction vector to generate an access path sequence table;
the thumbnail generation module is used for accessing the corresponding webpage according to the sequence of the access paths recorded in the access path sequence list and generating thumbnails of the corresponding webpage;
and the thumbnail recommendation module is used for recommending the corresponding thumbnails to the user according to the sequence of accessing the webpage.
9. A computer arrangement, characterized by comprising a memory and a processor, the memory having stored therein a computer program which, when executed by the processor, causes the processor to carry out the steps of the e-government affairs oriented online personalized recommendation method of any of claims 1 to 7.
10. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, causes the processor to carry out the steps of the method for online personalized recommendation for e-government affairs oriented according to any one of claims 1 to 7.
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Application publication date: 20210511 |