CN111008319A - Content management system based on artificial intelligence - Google Patents
Content management system based on artificial intelligence Download PDFInfo
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- CN111008319A CN111008319A CN201911035173.6A CN201911035173A CN111008319A CN 111008319 A CN111008319 A CN 111008319A CN 201911035173 A CN201911035173 A CN 201911035173A CN 111008319 A CN111008319 A CN 111008319A
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- 238000013473 artificial intelligence Methods 0.000 title claims abstract description 16
- 238000000034 method Methods 0.000 claims abstract description 15
- 230000015572 biosynthetic process Effects 0.000 claims description 7
- 238000003786 synthesis reaction Methods 0.000 claims description 7
- 230000002688 persistence Effects 0.000 claims description 6
- 230000003203 everyday effect Effects 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
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- 230000002194 synthesizing effect Effects 0.000 claims description 3
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- 208000024172 Cardiovascular disease Diseases 0.000 description 1
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- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/906—Clustering; Classification
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
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- G06F16/9536—Search customisation based on social or collaborative filtering
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
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Abstract
The invention discloses a content management system based on artificial intelligence, which comprises: the system comprises a real-time tracking module, an intelligent classification module, a robot release module, a real-time notification module, a historical article tracking module, an artificial module and an intelligent tracking and application system connected with the modules; the real-time tracking module comprises: polling unit, analysis element, download article unit, intelligent classification module includes: scanning unit and categorised unit, real-time notice module includes: scanning unit and notice unit, artifical module includes: the robot distribution module comprises: scanning unit, synthetic page unit, sending unit, history article module includes: the device comprises a statistic unit, a polling unit, an analysis unit and a downloading unit. In the tracking method, the mobile phone WeChat APP is used for polling and scanning the historical article data of the WeChat public number, and the manual acquisition cost of a data source is solved by utilizing a technical means. The invention realizes the automatic release function of the WeChat seal, saves a large amount of time and cost for manually editing articles and improves the efficiency.
Description
Technical Field
The invention relates to a content management system based on artificial intelligence, belongs to the field of data mining and intelligent application, and particularly relates to a data tracking and application system based on WeChat public numbers.
Background
In the prior art, an editing team collects, edits, approves and releases data materials based on a Content Management System (CMS). In the CMS according to the prior art, the following steps are generally performed: 1. acquiring a data material; 2. editing an article; 3. multiple approval; 4. and (5) issuing the article to a WeChat platform. The above prior art solutions have the following disadvantages: the completion of the whole article is time-consuming, inefficient and highly dependent on manual completion. For this reason, a corresponding technical scheme needs to be designed for solution.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides a content management system based on artificial intelligence, which solves the background technical problems and meets the actual use requirements.
In order to solve the problems, the technical scheme adopted by the invention is as follows:
a content management system based on artificial intelligence mainly comprises: the system comprises a real-time tracking module, an intelligent classification module, a robot release module, a real-time notification module, a historical article tracking module, an artificial module and an intelligent tracking and application system;
the real-time tracking module comprises: polling unit, analysis element, download article unit, intelligent classification module includes: scanning unit and categorised unit, real-time notice module includes: scanning unit and notice unit, artifical module includes: the robot distribution module comprises a pre-distribution unit and an auditing unit, and comprises: the history article module comprises a scanning unit, a page composition unit and a sending unit, and comprises: the device comprises a statistical unit, a polling unit, an analysis unit and a downloading unit;
the real-time tracking module, the intelligent classification module, the robot release module, the real-time notification module, the historical article tracking module and the manual module are all connected with the intelligent tracking and application system.
As an improvement of the above technical solution, the polling unit in the real-time tracking module: realizing circular scanning on the WeChat public number to be monitored, judging whether a new article is released or not, and acquiring and storing the article in the presence of the new article; an analysis unit within the real-time tracking module: the method realizes that the article link is analyzed from the disordered data of the new article data; a download unit within the real-time tracking module: and downloading the article data packet according to the link, analyzing the article data packet, and uploading the article data packet to a database to realize data persistence.
As an improvement of the above technical solution, the scanning unit in the intelligent classification module: circularly scanning whether a database has a new article issued or not, and reading out the new article if the new article issued exists; the classification unit: keyword tags are attached to different articles for title and article content classification.
As an improvement of the above technical solution, the scanning unit in the real-time notification module: circularly scanning whether a database has a new article issued or not, and reading out the new article if the new article issued exists; the notification unit: calling a voice synthesis interface to synthesize voice and then broadcast; in addition, the WeChat template message interface realizes the first-time message pushing.
As an improvement of the above technical solution, the pre-issuing unit: before the articles are released, manually screening the articles to be released; the auditing unit: in the case where the article has been composed, the article content is checked manually.
As an improvement of the above technical solution, the scanning unit in the robot dispensing module: acquiring all article data of the day; the synthesized page unit: obtaining different lists according to each keyword tag, reading number and reading number, and synthesizing HTML page data; the transmission unit: the robot calls a WeChat article publishing interface to publish the articles every day in a certain 'time period'.
As an improvement of the above technical solution, the polling unit in the history article module: realizing circular scanning on the WeChat public number to be monitored, judging whether a database has missing records, and if so, re-acquiring the article and storing the article; an analysis unit within the historical article module: the method realizes that the article link is analyzed from the disordered data of the new article data; a download unit within the historical article module: and downloading the article data packet according to the link, analyzing the article data packet, and uploading the article data packet to a database to realize data persistence.
Compared with the prior art, the invention has the following implementation effects:
in the tracking method, the mobile phone WeChat APP is used for polling and scanning the historical article data of the WeChat public number, and the manual acquisition cost of a data source is solved by utilizing a technical means.
The invention realizes the automatic release function of the WeChat seal, saves a large amount of time and cost for manually editing articles and improves the efficiency. In addition, the information notification module can enable the attention people to know the article release condition of each large public number platform at the first time.
Drawings
FIG. 1 is a block diagram of an artificial intelligence based content management system according to the present invention;
fig. 2 is a schematic structural diagram of a system module according to an embodiment of the present invention.
Detailed Description
The present invention will be described with reference to specific examples.
As shown in fig. 1: a content management system based on artificial intelligence mainly comprises: the system comprises a real-time tracking module, an intelligent classification module, a robot release module, a real-time notification module, a historical article tracking module, an artificial module and an intelligent tracking and application system;
the real-time tracking module comprises: polling unit, analysis element, download article unit, intelligent classification module includes: scanning unit and categorised unit, real-time notice module includes: scanning unit and notice unit, artifical module includes: the robot distribution module comprises a pre-distribution unit and an auditing unit, and comprises: the history article module comprises a scanning unit, a page composition unit and a sending unit, and comprises: the device comprises a statistical unit, a polling unit, an analysis unit and a downloading unit; the real-time tracking module, the intelligent classification module, the robot release module, the real-time notification module, the historical article tracking module and the manual module are all connected with the intelligent tracking and application system. Specifically, the polling unit within the real-time tracking module: realizing circular scanning on the WeChat public number to be monitored, judging whether a new article is released or not, and acquiring and storing the article in the presence of the new article; an analysis unit within the real-time tracking module: the method realizes that the article link is analyzed from the disordered data of the new article data; a download unit within the real-time tracking module: downloading the article data packet according to the link, analyzing the article data packet and uploading the article data packet to a database to realize data persistence; scanning unit in the intelligent classification module: circularly scanning whether a database has a new article issued or not, and reading out the new article if the new article issued exists; a classification unit: attaching keyword labels to different articles aiming at the titles and article content classification; real-time notification of scanning units within the module: circularly scanning whether a database has a new article issued or not, and reading out the new article if the new article issued exists; a notification unit: calling a voice synthesis interface to synthesize voice and then broadcast; in addition, a WeChat template message interface realizes first-time message pushing; a pre-release unit: before the articles are released, manually screening the articles to be released; the auditing unit: manually checking and checking the article content under the condition that the article is synthesized; scanning unit within robot cloth module: acquiring all article data of the day; a synthesized page unit: obtaining different lists according to each keyword tag, reading number and reading number, and synthesizing HTML page data; a transmission unit: the robot calls a WeChat article publishing interface to publish articles in a certain time period every day; polling unit in history article module: realizing circular scanning on the WeChat public number to be monitored, judging whether a missing record exists in a database, and reading and storing the article again under the condition that the missing record exists; analysis unit within history article module: the method realizes that the article link is analyzed from the disordered data of the new article data; download unit in history article module: and downloading the article data packet according to the link, analyzing the article data packet, and uploading the article data packet to a database to realize data persistence. The invention realizes the automatic release function of the WeChat seal, saves a large amount of time and cost for manually editing articles and improves the efficiency. In addition, the information notification module can enable the attention people to know the article release condition of each large public number platform at the first time.
The specific embodiment is as follows: an artificial intelligence based content management system according to an embodiment of the present invention will be described below with reference to fig. 1 and 2:
the number of each mobile phone can be expanded to realize the effect of tracking the number of articles.
Firstly, three mobile phones A, B, C and a proxy server need to be prepared;
further, A, B, C is connected to the proxy server;
the mobile phone A is used for polling a daily historical article list of the WeChat public number;
the mobile phone B is used for acquiring statistical information such as message content, reading number, watching number and the like of article content;
the mobile phone C is used for acquiring all historical article lists of the WeChat public number;
the proxy server exists in the role of a middle person, namely http and https request and response data of the mobile phone are connected with the WeChat server through the proxy server, and the proxy server stores corresponding response data according to different request addresses.
In conjunction with the above, the real-time tracking module is described in detail as follows:
the method comprises the following steps that a polling unit starts to operate, a mobile phone A requests a background system interface through a proxy server, the interface returns a page address of a history article list of the WeChat public number by judging whether a certain public number has issued articles today, then the mobile phone A requests a page after receiving the address, the proxy server stores the page in a certain physical directory in the requesting process through the proxy server, and then requests the background system interface of the system to circularly perform the previous steps; then an analysis unit operates to scan the physical directory circularly, when a new file exists, the file is analyzed to obtain a link address of the article, and then the link address is stored in a database; and finally, a downloading unit operates, the mobile phone B requests a background system interface through the proxy server, the interface can be connected to the database to return the latest article link address, then the mobile phone B requests a page after taking the address, the proxy server stores the response data in a certain physical directory, a service is further provided for circularly scanning the physical directory, and when a new file exists, the article information is obtained by analyzing the file and then stored in the database.
In combination with the above, the real-time notification module is as follows:
the scanning unit starts to run, namely the database is circularly scanned, and when a new article exists, the article title is taken out; and then a notification unit operates, calls a voice synthesis interface, carries out voice broadcasting to notify that a new article exists and acquires, and calls a WeChat template message to notify a related user that a new article exists and acquires.
In combination with the above, the intelligent classification module is as follows:
the scanning unit starts to operate, namely the database is circularly scanned, and when a new article exists, the article content and the title are taken out; then the classification unit operates to call an intelligent article classification interface to obtain classification keywords of the article, and then the keywords are attached to the article in the database.
In combination with the above, the historical article tracking module is as follows:
the module firstly needs to be stated that each public number has a tracking record so as to record the missing condition of the historical article of the WeChat public number.
The mobile phone C requests a background system interface through a proxy server, the interface returns a page address of a history article list of the WeChat public number by judging whether a history article record of a missing public number exists or not, then the mobile phone C requests the page after the address is taken, the page is stored in a certain physical directory through the proxy server in the requesting process, and then the background interface of the system is requested again to circularly carry out the previous steps; then an analysis unit operates to scan the physical directory circularly, when a new file exists, the file is analyzed to obtain a link address of the article, and then the link address is stored in a database; and finally, a downloading unit operates, the mobile phone B requests a background system interface through the proxy server, the interface can be connected to the database to return the latest article link address, then the mobile phone B requests a page after taking the address, the proxy server stores the response data in a certain physical directory, a service is further provided for circularly scanning the physical directory, and when a new file exists, the article information is obtained by analyzing the file and then stored in the database.
In combination with the above, the manual module is as follows:
first, it should be noted that this module may be run or not run, and that the manual intervention module prioritizes the results of the manual processing.
The method is characterized in that the method starts to be operated by a pre-publishing unit, key words of main content of the day, such as key words of heart disease, cardiovascular disease, obesity and the like, are manually predetermined, and the system carries out relevant synthesis according to the manually input key words (such as a synthesis page unit in a robot publishing article module), wherein the unit can not be operated and does not influence the operation of the system, and only after manual intervention, the priority of the manually input key words is highest; and finally, the 'checking unit' operates, and the articles need to be checked manually in order to ensure the accuracy of the articles.
In conjunction with the above, the robot charting article module is as follows:
first, it should be noted that the module will operate at a fixed time each day.
The method comprises the steps that a 'synthesis page unit' starts to operate, a database is connected to obtain an article list processed by an 'intelligent classification module', then a plurality of groups of data are classified according to keyword labels of each article in the day, the articles in each group are further sorted in a group reverse narration mode according to reading numbers and reading numbers, and then the data and a prepared HTML page style are synthesized into a summarized article; finally, the 'sending unit' operates, calls the WeChat official interface to preview the article in a fixed time period every day, and then releases the article without problems.
The foregoing is a detailed description of the invention with reference to specific embodiments, and the practice of the invention is not to be construed as limited thereto. For those skilled in the art to which the invention pertains, several simple deductions or substitutions can be made without departing from the spirit of the invention, and all shall be considered as belonging to the protection scope of the invention.
Claims (7)
1. A content management system based on artificial intelligence is characterized in that: the method mainly comprises the following steps: the system comprises a real-time tracking module, an intelligent classification module, a robot release module, a real-time notification module, a historical article tracking module, an artificial module and an intelligent tracking and application system;
the real-time tracking module comprises: polling unit, analysis element, download article unit, intelligent classification module includes: scanning unit and categorised unit, real-time notice module includes: scanning unit and notice unit, artifical module includes: the robot distribution module comprises a pre-distribution unit and an auditing unit, and comprises: the history article module comprises a scanning unit, a page composition unit and a sending unit, and comprises: the device comprises a statistical unit, a polling unit, an analysis unit and a downloading unit;
the real-time tracking module, the intelligent classification module, the robot release module, the real-time notification module, the historical article tracking module and the manual module are all connected with the intelligent tracking and application system.
2. The artificial intelligence based content management system of claim 1, wherein: a polling unit within the real-time tracking module: realizing circular scanning on the WeChat public number to be monitored, judging whether a new article is released or not, and acquiring and storing the article in the presence of the new article; an analysis unit within the real-time tracking module: the method realizes that the article link is analyzed from the disordered data of the new article data; a download unit within the real-time tracking module: and downloading the article data packet, analyzing the article data packet, uploading the article data packet to a database, and realizing data persistence.
3. The artificial intelligence based content management system of claim 1, wherein: the scanning unit in the intelligent classification module: circularly scanning whether a database has a new article issued or not, and reading out the new article if the new article issued exists; the classification unit: keyword tags are attached to different articles for title and article content classification.
4. The artificial intelligence based content management system of claim 1, wherein: the scanning unit in the real-time notification module: circularly scanning whether a database has a new article issued or not, and reading out the new article if the new article issued exists; the notification unit: calling a voice synthesis interface to synthesize voice and then broadcast; in addition, the WeChat template message interface realizes the first-time message pushing.
5. The artificial intelligence based content management system of claim 1, wherein: the pre-issuing unit: before the articles are released, manually screening the articles to be released; the auditing unit: in the case where the article has been composed, the article content is checked manually.
6. The artificial intelligence based content management system of claim 1, wherein: a scanning unit within the robot dispensing module: acquiring all article data of the day; the synthesized page unit: obtaining different lists according to each keyword tag, reading number and reading number, and synthesizing HTML page data; the transmission unit: the robot calls a WeChat article publishing interface to publish the articles every day in a certain 'time period'.
7. The artificial intelligence based content management system of claim 1, wherein: a polling unit within the historical article module: realizing circular scanning on the WeChat public number to be monitored, judging whether a database has missing records, and if so, re-acquiring the article and storing the article; an analysis unit within the historical article module: the method realizes that the article link is analyzed from the disordered data of the new article data; a download unit within the historical article module: and downloading the article data packet according to the link, analyzing the article data packet, and uploading the article data packet to a database to realize data persistence.
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Cited By (1)
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| CN111726262A (en) * | 2020-06-15 | 2020-09-29 | 广州数说故事信息科技有限公司 | WeChat reading and abnormal reading monitoring method and system |
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Application publication date: 20200414 |