CN111563176B - Cartoon management system based on inertia big data - Google Patents
Cartoon management system based on inertia big data Download PDFInfo
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Abstract
The invention discloses a cartoon management system based on inertial big data, which comprises an acquisition module, an inertial analysis module, a judgment module, a monitoring module, a database, a backup recommendation module, a login module, a verification unit and a client side, wherein the acquisition module is used for acquiring the inertial big data; the system comprises an acquisition module, an inertia analysis module, a database and a browsing speed average value data, wherein the acquisition module is used for acquiring inertia cartoon information and transmitting the inertia cartoon information to the inertia analysis module, the database stores and records cartoon name data and cartoon variety data, and the inertia analysis module is used for carrying out inertia analysis operation on the inertia cartoon information to obtain browsing speed average value data, scoring average value data, interval average value data, user account number data and cartoon name data.
Description
Technical Field
The invention relates to the technical field of cartoon management, in particular to a cartoon management system based on inertial big data.
Background
Caricatures are artistic forms that draw life or current events by simple and exaggerated techniques. Generally, methods of transformation, metaphor, suggestive, and mapping are used. A picture or a group of pictures of humor witty is constructed to obtain the effect of irony or song, and caricatures in life are generally presented to people in the form of books or electronic documents, and management of the documents is required.
The conventional cartoon management system classifies texts of cartoons, then stores the classified texts, and randomly recommends the cartoons to users on the internet, so that the recommendation effect is low, the cartoons cannot be selectively recommended according to the interests and hobbies of the users, and the cartoons divided according to the interests and hobbies of the users cannot be managed and stored in a classified mode.
Disclosure of Invention
The invention aims to provide a cartoon management system based on inertial big data, which is used for sorting and marking cartoon information collected by a collection module through the setting of an inertial analysis module, calculating a corresponding average value according to browsing time, word number, interval and other data, solving the problem that the cartoon data cannot be accurately analyzed in the prior art, increasing the accuracy of data analysis, improving the persuasion of the data, saving the analysis time, improving the working efficiency, calculating the difference value between the average value of the browsing time, the word number, the interval and other data and the monitored cartoon updating data through the setting of a backup recommendation module, and sequencing the difference values in different types, so as to judge the updated recommendation sequence of the cartoon and store the updated recommendation sequence, and solving the problem that the cartoon cannot be recommended and sequenced in the cartoon storage in the prior art, the effectiveness of cartoon recommendation is increased, convenience is brought to users, the browsing amount of the cartoons is increased, and the whole sorting management of data is facilitated.
The purpose of the invention can be realized by the following technical scheme: a cartoon management system based on inertial big data comprises an acquisition module, an inertial analysis module, a judgment module, a monitoring module, a database, a backup recommendation module, a login module, a verification unit and a client;
the system comprises an acquisition module, an inertia analysis module, a judgment module and a display module, wherein the acquisition module is used for acquiring inertial cartoon information and transmitting the inertial cartoon information to the inertia analysis module, the database stores and records cartoon name data and cartoon variety data, and the inertia analysis module is used for carrying out inertia analysis operation on the inertial cartoon information to obtain browsing speed mean value data, score mean value data, interval mean value data, user account number data and cartoon name data and transmitting the browsing speed mean value data, the score mean value data, the interval mean value data, the user account number data and the cartoon name data to the judgment module;
the monitoring module is used for monitoring updating of the cartoon in real time, automatically acquiring updating data, and transmitting the updating data to the judging module, wherein the updating data comprises updating time data, updating word number data, updating cartoon score data and updating cartoon name data;
the backup recommendation module is used for performing recommendation storage operation on the interval difference sorting data, the reading time sorting data and the grading difference sorting data, and specifically comprises the following steps: marking the first interval recommendation, the first reading recommendation and the first scoring recommendation as 1 point, marking the second interval recommendation, the second reading recommendation and the second scoring recommendation as 2 points, and so on, marking the ith interval recommendation, the ith reading recommendation and the ith scoring recommendation as i points, adding total points of the cartoon name data in the corresponding reading, interval and scoring recommendations, calculating the total points, and sequencing the cartoon names, namely sequencing the cartoon names, wherein the first cartoon recommendation is the minimum total point, the last cartoon recommendation is the maximum total point, any item in the related data of the cartoon name data does not appear in the corresponding sequencing, and then marking the items as i +1 points;
sorting and storing the cartoon names, and transmitting the cartoon data corresponding to the cartoon name data to the client in a preset condition;
the client is used for the user to browse the cartoon in the client, and further comprises a login module and a verification module, wherein the login module is used for the user to log in the self account, and the verification unit is used for verifying the self account of the user.
As a further improvement of the invention: the specific operation process of the inertia analysis operation is as follows:
the method comprises the following steps: obtaining inertial cartoon information, marking different user names in the inertial cartoon information as user account data, marking the user account data as YZi, i is 1,2,3, n1, obtaining the inertial cartoon information, marking the cartoon names in browsing records corresponding to the user account data as cartoon name data, marking the cartoon name data as MMi, obtaining the inertial cartoon information, marking the browsing time of each time of the cartoon name data corresponding to the user account in the inertial cartoon information as browsing duration data, marking the browsing time data as LSi, obtaining the inertial cartoon information, marking the browsing total word number of the user account data in the inertial cartoon information corresponding to each browsing of the cartoon name data as browsing word number data, marking the browsing word number data as LZi, obtaining the inertial cartoon information, and marking the interval time of each browsing of the user account data in the inertial cartoon information as interval time data, marking the interval time data as JSi, acquiring inertial cartoon information, marking the score of the cartoon name data corresponding to the user account data in the inertial cartoon information as score data, marking the score data as PFi, and enabling the YYi, the MMi, the LSi, the LZi, the JSi and the PFi to correspond to one another;
step two: acquiring recorded cartoon name data, marking the recorded cartoon name data as JMi, matching the recorded cartoon name data with the cartoon name data, extracting cartoon type data corresponding to the recorded cartoon name data when the recorded cartoon name data is matched with the cartoon name data, and identifying the types of cartoons corresponding to various types of cartoon name data in the recorded data browsed by the user by the same matching;
step three: according to the cartoon variety data in the second step, the names of the cartoons belonging to the cartoon variety data are identified, the cartoon name data in the variety data are counted and calibrated to be corresponding quantity data, and the corresponding quantity data and the total corresponding quantity data under each cartoon variety data are subjected to proportion calculation, so that the proportion value of the cartoon variety data is calculated and is marked as ZBi, wherein i is 1,2,3.. n 2;
step three: acquiring browsing time data corresponding to the cartoon name data, and bringing the browsing time data into a calculation formula:
wherein, PLSiExpressed as mean of browsing time data, i.e. time-mean dataAnd acquiring browsing word number data corresponding to the cartoon name data, and bringing the browsing word number data into a calculation formula:
wherein, PLZiThe mean value of the browsing word number data, namely the word number mean value data, obtains interval time data corresponding to the cartoon name data and brings the interval time data into a calculation formula:
wherein, PJSiAnd (3) obtaining scoring data of the cartoon name data, wherein the scoring data is expressed as the mean value of the interval time data, namely the interval mean value data, and is substituted into a calculation formula:
wherein, PPFiMean values expressed as score data, i.e. score mean data;
step four: and acquiring the time average value and the word number average value in the third step, and bringing the time average value and the word number average value into a calculation formula together: pvi＝PLZi/PLSiWherein P isviExpressed as the average browsing speed, i.e. browsing speed mean data.
As a further improvement of the invention: the specific operation process of the recommendation judgment operation is as follows:
k1: acquiring updated cartoon data, extracting corresponding updated time data, updated word number data and updated cartoon score data, and calibrating the updated cartoon data in sequence;
k2: obtaining score mean data, bringing the score mean data and calibrated updated cartoon score data into a difference calculation formula so as to calculate a score difference, performing re-calibration on the score difference according to a positive score difference and a negative score difference, and performing difference sorting on the re-calibrated positive score difference from large to small to obtain score difference sorting data;
k3: acquiring browsing speed mean value data, bringing the browsing speed mean value data and the updated word number data into a calculation formula together, thereby calculating the time required for reading the updated word number data, namely reading time data, and sequencing the reading time data corresponding to the updated cartoon name data from large to small, thereby obtaining reading time sequencing data;
k4: acquiring updating time data, marking the updating time of two times, calculating a difference value according to two marked updating time points, marking the difference value as updating interval time data, substituting the updating interval time data and interval mean value data into a difference value calculation formula, calculating an interval difference value, respectively marking the interval difference value data according to a positive interval difference value and a negative interval difference value, extracting the positive interval difference value, and sequencing the positive interval difference value from large to small, thereby obtaining interval difference value sequencing data.
As a further improvement of the invention: the specific operation process of recommending the storage operation is as follows:
c1: acquiring user account data, extracting a proportion value corresponding to the user account data, and selecting corresponding cartoon variety data according to the proportion value;
c2: acquiring score difference sorting data in the cartoon variety data, sequentially marking the score difference sorting data as a first score recommendation, a second score recommendation and a third score recommendation according to the sorting from large to small, and extracting corresponding cartoon name data;
c3: acquiring corresponding interval difference value sequencing data in the cartoon variety data, sequentially marking the sequencing data from small to large as first interval recommendation, second interval recommendation and third interval recommendation, and extracting corresponding cartoon name data;
c4: reading time sequencing data corresponding to the cartoon variety data are obtained, sequencing of the reading time sequencing data from small to large is marked as a first reading recommendation, a second reading recommendation and a third reading recommendation in sequence, and corresponding cartoon name data are extracted;
c5: and (3) carrying out point ranking on the first to the ith scores, intervals and reading recommendations in the C2-C4 according to the sequence, wherein the specific point ranking is as follows: marking the first interval recommendation, the first reading recommendation and the first scoring recommendation as 1 point, marking the second interval recommendation, the second reading recommendation and the second scoring recommendation as 2 points, and analogizing, marking the ith interval recommendation, the ith reading recommendation and the ith scoring recommendation as i points, adding total points of the cartoon name data in the corresponding reading, interval and scoring recommendations, calculating the total points, and sequencing the cartoon names, namely sequencing the cartoon names, wherein the first cartoon recommendation is the minimum total point, the last cartoon recommendation is the maximum total point, any item in the related data of the cartoon name data does not appear in the corresponding sequencing, and then marking the items as i +1 points.
The invention has the beneficial effects that:
(1) the system comprises an acquisition module, an inertia cartoon information transmission module, an inertia analysis module, a judgment module and a display module, wherein the acquisition module acquires the inertia cartoon information and transmits the inertial cartoon information to the inertia analysis module, the database stores and records cartoon name data and cartoon variety data, and the inertia analysis module is used for carrying out inertia analysis operation on the inertia cartoon information to obtain browsing speed mean value data, score mean value data, interval mean value data, user account number data and cartoon name data and transmitting the browsing speed mean value data, the score mean value data, the interval mean value data, the user; the monitoring module monitors updating of the cartoon in real time, automatically acquires updating data, and transmits the updating data to the judging module, wherein the updating data comprises updating time data, updating word number data, updating cartoon score data and updating cartoon name data; through the setting of inertia analysis module, the cartoon information of gathering the collection module is put in order the mark to according to data such as browsing time, word number, interval, calculate corresponding mean value, increase the accuracy to data analysis, improve the persuasive dynamics of data, save analysis time, improve work efficiency.
(2) The backup recommendation module is used for performing recommendation storage operation on the interval difference sorting data, the reading time sorting data and the grading difference sorting data, and specifically comprises the following steps: marking the first interval recommendation, the first reading recommendation and the first scoring recommendation as 1 point, marking the second interval recommendation, the second reading recommendation and the second scoring recommendation as 2 points, and so on, marking the ith interval recommendation, the ith reading recommendation and the ith scoring recommendation as i points, adding total points of the cartoon name data in the corresponding reading, interval and scoring recommendations, calculating the total points, and sequencing the cartoon names, namely sequencing the cartoon names, wherein the first cartoon recommendation is the minimum total point, the last cartoon recommendation is the maximum total point, any item in the related data of the cartoon name data does not appear in the corresponding sequencing, and then marking the items as i +1 points; sorting and storing the cartoon names, and transmitting the cartoon data corresponding to the cartoon name data to the client in a preset condition; the client is used for the user to browse the cartoon in the user, and also comprises a login module and a verification module, wherein the login module is used for the user to log in the self account, and the verification unit is used for verifying the self account of the user; through the setting of the backup recommendation module, difference value calculation is carried out on the average values of data such as browsing time, word number and interval and the monitored cartoon updating data, and different types of sorting are carried out on the difference values, so that the recommendation sequence of cartoon updating is judged and stored, the effectiveness of cartoon recommendation is increased, convenience is brought to users, the browsing amount of cartoons is increased, and the whole sorting management of the data is facilitated.
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The invention will be further described with reference to the accompanying drawings.
FIG. 1 is a system block diagram of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the invention relates to a cartoon management system based on inertial big data, which comprises an acquisition module, an inertial analysis module, a judgment module, a monitoring module, a database, a backup recommendation module, a login module, a verification unit and a client;
the collection module is used for collecting inertial cartoon information and transmitting the inertial cartoon information to the inertial analysis module, the database stores and records cartoon name data and cartoon variety data, the inertial analysis module is used for carrying out inertial analysis operation on the inertial cartoon information, and the specific operation process of the inertial analysis operation is as follows:
the method comprises the following steps: obtaining inertial cartoon information, marking different user names in the inertial cartoon information as user account data, marking the user account data as YZi, i is 1,2,3, n1, obtaining the inertial cartoon information, marking the cartoon names in browsing records corresponding to the user account data as cartoon name data, marking the cartoon name data as MMi, obtaining the inertial cartoon information, marking the browsing time of each time of the cartoon name data corresponding to the user account in the inertial cartoon information as browsing duration data, marking the browsing time data as LSi, obtaining the inertial cartoon information, marking the browsing total word number of the user account data in the inertial cartoon information corresponding to each browsing of the cartoon name data as browsing word number data, marking the browsing word number data as LZi, obtaining the inertial cartoon information, and marking the interval time of each browsing of the user account data in the inertial cartoon information as interval time data, marking the interval time data as JSi, acquiring inertial cartoon information, marking the score of the cartoon name data corresponding to the user account data in the inertial cartoon information as score data, marking the score data as PFi, and enabling the YYi, the MMi, the LSi, the LZi, the JSi and the PFi to correspond to one another;
step two: acquiring recorded cartoon name data, marking the recorded cartoon name data as JMi, matching the recorded cartoon name data with the cartoon name data, extracting cartoon type data corresponding to the recorded cartoon name data when the recorded cartoon name data is matched with the cartoon name data, and identifying the types of cartoons corresponding to various types of cartoon name data in the recorded data browsed by the user by the same matching;
step three: according to the cartoon variety data in the second step, the names of the cartoons belonging to the cartoon variety data are identified, the cartoon name data in the variety data are counted and calibrated to be corresponding quantity data, and the corresponding quantity data and the total corresponding quantity data under each cartoon variety data are subjected to proportion calculation, so that the proportion value of the cartoon variety data is calculated and is marked as ZBi, wherein i is 1,2,3.. n 2;
step three: acquiring browsing time data corresponding to the cartoon name data, and bringing the browsing time data into a calculation formula:
wherein, PLSiThe average value of the browsing time data, namely the time average value data, is expressed, browsing word number data corresponding to the cartoon name data is obtained and is brought into a calculation formula:
wherein, PLZiThe mean value of the browsing word number data, namely the word number mean value data, obtains interval time data corresponding to the cartoon name data and brings the interval time data into a calculation formula:
wherein, PJSiAnd (3) obtaining scoring data of the cartoon name data, wherein the scoring data is expressed as the mean value of the interval time data, namely the interval mean value data, and is substituted into a calculation formula:
wherein, PPFiMean values expressed as score data, i.e. score mean data;
step four: and acquiring the time average value and the word number average value in the third step, and bringing the time average value and the word number average value into a calculation formula together: pvi＝PLZi/PLSiWherein P isviExpressed as average browsing speed, i.e. browsing speed mean data;
step five: transmitting the browsing speed mean value data, the grading mean value data, the interval mean value data, the user account data and the cartoon name data to a judging module;
the monitoring module is used for monitoring updating of the cartoon in real time, automatically acquiring updating data, and transmitting the updating data to the judging module, wherein the updating data comprises updating time data, updating word number data, updating cartoon score data and updating cartoon name data, the judging module is used for recommending and judging browsing speed mean value data, score mean value data, interval mean value data, user account number data and cartoon name data, and the recommending and judging operation comprises the following specific operation processes:
k1: acquiring updated cartoon data, extracting corresponding updated time data, updated word number data and updated cartoon score data, and calibrating the updated cartoon data in sequence;
k2: obtaining score mean data, bringing the score mean data and calibrated updated cartoon score data into a difference calculation formula so as to calculate a score difference, performing re-calibration on the score difference according to a positive score difference and a negative score difference, and performing difference sorting on the re-calibrated positive score difference from large to small to obtain score difference sorting data;
k3: acquiring browsing speed mean value data, bringing the browsing speed mean value data and the updated word number data into a calculation formula together, thereby calculating the time required for reading the updated word number data, namely reading time data, and sequencing the reading time data corresponding to the updated cartoon name data from large to small, thereby obtaining reading time sequencing data;
k4: acquiring updating time data, marking the updating time of two times, calculating a difference value according to two marked updating time points, marking the difference value as updating interval time data, substituting the updating interval time data and interval mean value data into a difference value calculation formula, calculating an interval difference value, respectively marking the interval difference value data according to a positive interval difference value and a negative interval difference value, extracting the positive interval difference value, and sequencing the positive interval difference value from large to small so as to obtain interval difference value sequencing data;
k5: transmitting the interval difference sorting data, the reading time sorting data and the grading difference sorting data to a backup recommendation module;
the backup recommendation module is used for performing recommendation storage operation on the interval difference sorting data, the reading time sorting data and the grading difference sorting data, and the specific operation process of the recommendation storage operation is as follows:
c1: acquiring user account data, extracting a proportion value corresponding to the user account data, and selecting corresponding cartoon variety data according to the proportion value;
c2: acquiring score difference sorting data in the cartoon variety data, sequentially marking the score difference sorting data as a first score recommendation, a second score recommendation and a third score recommendation according to the sorting from large to small, and extracting corresponding cartoon name data;
c3: acquiring corresponding interval difference value sequencing data in the cartoon variety data, sequentially marking the sequencing data from small to large as first interval recommendation, second interval recommendation and third interval recommendation, and extracting corresponding cartoon name data;
c4: reading time sequencing data corresponding to the cartoon variety data are obtained, sequencing of the reading time sequencing data from small to large is marked as a first reading recommendation, a second reading recommendation and a third reading recommendation in sequence, and corresponding cartoon name data are extracted;
c5: and (3) carrying out point ranking on the first to the ith scores, intervals and reading recommendations in the C2-C4 according to the sequence, wherein the specific point ranking is as follows: marking the first interval recommendation, the first reading recommendation and the first scoring recommendation as 1 point, marking the second interval recommendation, the second reading recommendation and the second scoring recommendation as 2 points, and so on, marking the ith interval recommendation, the ith reading recommendation and the ith scoring recommendation as i points, adding total points of the cartoon name data in the corresponding reading, interval and scoring recommendations, calculating the total points, and sequencing the cartoon names, namely sequencing the cartoon names, wherein the first cartoon recommendation is the minimum total point, the last cartoon recommendation is the maximum total point, any item in the related data of the cartoon name data does not appear in the corresponding sequencing, and then marking the items as i +1 points;
c6: sorting and storing the cartoon names, and transmitting the cartoon data corresponding to the cartoon name data to a client in a preset condition;
the client is used for the user to browse the cartoon in the client, and further comprises a login module and a verification module, wherein the login module is used for the user to log in the self account, and the verification unit is used for verifying the self account of the user.
When the system works, the acquisition module acquires inertial cartoon information and transmits the inertial cartoon information to the inertial analysis module, the database stores and records cartoon name data and cartoon variety data, and the inertial analysis module is used for performing inertial analysis operation on the inertial cartoon information to obtain browsing speed mean value data, score mean value data, interval mean value data, user account data and cartoon name data and transmitting the browsing speed mean value data, score mean value data, interval mean value data, user account data and cartoon name data to the judgment module; the monitoring module monitors updating of the cartoon in real time, automatically acquires updating data, and transmits the updating data to the judging module, wherein the updating data comprises updating time data, updating word number data, updating cartoon score data and updating cartoon name data; the backup recommendation module is used for performing recommendation storage operation on the interval difference sorting data, the reading time sorting data and the grading difference sorting data, and specifically comprises the following steps: marking the first interval recommendation, the first reading recommendation and the first scoring recommendation as 1 point, marking the second interval recommendation, the second reading recommendation and the second scoring recommendation as 2 points, and so on, marking the ith interval recommendation, the ith reading recommendation and the ith scoring recommendation as i points, adding total points of the cartoon name data in the corresponding reading, interval and scoring recommendations, calculating the total points, and sequencing the cartoon names, namely sequencing the cartoon names, wherein the first cartoon recommendation is the minimum total point, the last cartoon recommendation is the maximum total point, any item in the related data of the cartoon name data does not appear in the corresponding sequencing, and then marking the items as i +1 points; sorting and storing the cartoon names, and transmitting the cartoon data corresponding to the cartoon name data to the client in a preset condition; the client is used for the user to browse the cartoon in the client, and further comprises a login module and a verification module, wherein the login module is used for the user to log in the self account, and the verification unit is used for verifying the self account of the user.
The foregoing is merely exemplary and illustrative of the present invention and various modifications, additions and substitutions may be made by those skilled in the art to the specific embodiments described without departing from the scope of the invention as defined in the following claims.
Claims (1)
1. A cartoon management system based on inertial big data is characterized by comprising an acquisition module, an inertial analysis module, a judgment module, a monitoring module, a database, a backup recommendation module, a login module, a verification unit and a client;
the system comprises an acquisition module, an inertia analysis module, a judgment module and a display module, wherein the acquisition module is used for acquiring inertia cartoon information and transmitting the inertia cartoon information to the inertia analysis module, the database stores and records cartoon name data and cartoon variety data, and the inertia analysis module is used for carrying out inertia analysis operation on the inertia cartoon information to obtain browsing speed mean value data, score mean value data, interval mean value data, user account data and cartoon name data and transmitting the browsing speed mean value data, the score mean value data, the interval mean value data, the user account data and the cartoon name data to the judgment module;
the monitoring module is used for monitoring updating of the cartoon in real time, automatically acquiring updating data, and transmitting the updating data to the judging module, wherein the updating data comprises updating time data, updating word number data, updating cartoon score data and updating cartoon name data;
the backup recommendation module is used for performing recommendation storage operation on the interval difference sorting data, the reading time sorting data and the grading difference sorting data, and specifically comprises the following steps: marking the first interval recommendation, the first reading recommendation and the first scoring recommendation as 1 point, marking the second interval recommendation, the second reading recommendation and the second scoring recommendation as 2 points, and so on, marking the ith interval recommendation, the ith reading recommendation and the ith scoring recommendation as i points, adding total points of the cartoon name data in the corresponding reading, interval and scoring recommendations, calculating the total points, and sequencing the cartoon names, namely sequencing the cartoon names, wherein the first cartoon recommendation is the minimum total point, the last cartoon recommendation is the maximum total point, any item in the related data of the cartoon name data does not appear in the corresponding sequencing, and then marking the items as i +1 points;
sorting and storing the cartoon names, and transmitting the cartoon data corresponding to the cartoon name data to a client in a preset condition;
the client is used for the user to browse the cartoon in the client, and also comprises a login module and a verification module, wherein the login module is used for the user to log in the self account, and the verification unit is used for verifying the self account of the user;
the specific operation process of the inertia analysis operation is as follows:
the method comprises the following steps: obtaining inertial cartoon information, marking different user names in the inertial cartoon information as user account data, marking the user account data as YZi, i is 1,2,3, n1, obtaining the inertial cartoon information, marking the cartoon names in browsing records corresponding to the user account data as cartoon name data, marking the cartoon name data as MMi, obtaining the inertial cartoon information, marking the browsing time of each time of the cartoon name data corresponding to the user account in the inertial cartoon information as browsing duration data, marking the browsing time data as LSi, obtaining the inertial cartoon information, marking the browsing total word number of the user account data in the inertial cartoon information corresponding to each browsing of the cartoon name data as browsing word number data, marking the browsing word number data as LZi, obtaining the inertial cartoon information, and marking the interval time of each browsing of the user account data in the inertial cartoon information as interval time data, marking the interval time data as JSi, acquiring inertial cartoon information, marking the score of the cartoon name data corresponding to the user account data in the inertial cartoon information as score data, marking the score data as PFi, and enabling the YYi, the MMi, the LSi, the LZi, the JSi and the PFi to correspond to one another;
step two: acquiring recorded cartoon name data, marking the recorded cartoon name data as JMi, matching the recorded cartoon name data with the cartoon name data, extracting cartoon type data corresponding to the recorded cartoon name data when the recorded cartoon name data is matched with the cartoon name data, and identifying the types of cartoons corresponding to various types of cartoon name data in the recorded data browsed by the user by the same matching;
step three: according to the cartoon variety data in the second step, the names of the cartoons belonging to the cartoon variety data are identified, the cartoon name data in the variety data are counted and calibrated to be corresponding quantity data, and the corresponding quantity data and the total corresponding quantity data under each cartoon variety data are subjected to proportion calculation, so that the proportion value of the cartoon variety data is calculated and is marked as ZBi, wherein i is 1,2,3.. n 2;
step three: acquiring browsing time data corresponding to the cartoon name data, and bringing the browsing time data into a calculation formula:
wherein, PLSiThe average value of the browsing time data, namely the time average value data, is expressed, browsing word number data corresponding to the cartoon name data is obtained and is brought into a calculation formula:
wherein, PLZiThe mean value of the browsing word number data, namely the word number mean value data, obtains interval time data corresponding to the cartoon name data and brings the interval time data into a calculation formula:
wherein, PJSiAnd (3) obtaining scoring data of the cartoon name data, wherein the scoring data is expressed as the mean value of the interval time data, namely the interval mean value data, and is substituted into a calculation formula:
wherein, PPFiMean values expressed as score data, i.e. score mean data;
step four: and acquiring the time average value and the word number average value in the third step, and bringing the time average value and the word number average value into a calculation formula together: pvi＝PLZi/PLSiWherein P isviExpressed as average browsing speed, i.e. browsing speed mean data;
the specific operation process of the recommendation judgment operation is as follows:
k1: acquiring updated cartoon data, extracting corresponding updated time data, updated word number data and updated cartoon score data, and calibrating the updated cartoon data in sequence;
k2: obtaining score mean data, bringing the score mean data and calibrated updated cartoon score data into a difference calculation formula so as to calculate a score difference, performing re-calibration on the score difference according to a positive score difference and a negative score difference, and performing difference sorting on the re-calibrated positive score difference from large to small to obtain score difference sorting data;
k3: acquiring browsing speed mean value data, bringing the browsing speed mean value data and the updated word number data into a calculation formula together, thereby calculating the time required for reading the updated word number data, namely reading time data, and sequencing the reading time data corresponding to the updated cartoon name data from large to small, thereby obtaining reading time sequencing data;
k4: acquiring updating time data, marking the updating time of two times, calculating a difference value according to two marked updating time points, marking the difference value as updating interval time data, substituting the updating interval time data and interval mean value data into a difference value calculation formula, calculating an interval difference value, respectively marking the interval difference value data according to a positive interval difference value and a negative interval difference value, extracting the positive interval difference value, and sequencing the positive interval difference value from large to small so as to obtain interval difference value sequencing data;
the specific operation process of recommending the storage operation is as follows:
c1: acquiring user account data, extracting a proportion value corresponding to the user account data, and selecting corresponding cartoon variety data according to the proportion value;
c2: acquiring score difference sorting data in the cartoon variety data, sequentially marking the score difference sorting data as a first score recommendation, a second score recommendation and a third score recommendation according to the sorting from large to small, and extracting corresponding cartoon name data;
c3: acquiring corresponding interval difference value sequencing data in the cartoon variety data, sequentially marking the sequencing data from small to large as first interval recommendation, second interval recommendation and third interval recommendation, and extracting corresponding cartoon name data;
c4: reading time sequencing data corresponding to the cartoon variety data are obtained, sequencing of the reading time sequencing data from small to large is marked as a first reading recommendation, a second reading recommendation and a third reading recommendation in sequence, and corresponding cartoon name data are extracted;
c5: and (3) carrying out point ranking on the first to the ith scores, intervals and reading recommendations in the C2-C4 according to the sequence, wherein the specific point ranking is as follows: marking the first interval recommendation, the first reading recommendation and the first scoring recommendation as 1 point, marking the second interval recommendation, the second reading recommendation and the second scoring recommendation as 2 points, and analogizing, marking the ith interval recommendation, the ith reading recommendation and the ith scoring recommendation as i points, adding total points of the cartoon name data in the corresponding reading, interval and scoring recommendations, calculating the total points, and sequencing the cartoon names, namely sequencing the cartoon names, wherein the first cartoon recommendation is the minimum total point, the last cartoon recommendation is the maximum total point, any item in the related data of the cartoon name data does not appear in the corresponding sequencing, and then marking the items as i +1 points.
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