CN114528519B - Enterprise website construction information display management system based on big data - Google Patents
Enterprise website construction information display management system based on big data Download PDFInfo
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Abstract
The invention relates to the technical field of enterprise website construction, and aims to solve the problems that in the management process of website construction information display of the existing enterprise, accurate analysis on the audience degree of display sections of a website is difficult to realize, the distribution proportion and the push priority of each display section in the website cannot be efficiently managed, and the development and progress of the enterprise are hindered; according to the invention, the audience share of the display sections of the enterprise website is accurately analyzed, the distribution ratio of each display section in the enterprise website is determined, the display sections are preferentially pushed, and the high-efficiency management of the enterprise website is improved.
Description
Technical Field
The invention relates to the technical field of enterprise website construction, in particular to an enterprise website construction information display management system based on big data.
Background
The enterprise website is a platform for network marketing and image propaganda of enterprises on the internet, is equivalent to a network business card of the enterprises, not only is a good propaganda on the image of the enterprises, but also can assist the sales of the enterprises, directly help the enterprises to realize the sales of products through the network, the enterprises can utilize the website to carry out propaganda, product information release, recruitment and the like, and the website is a platform and a portal for the enterprises to access the internet and is an important condition for the enterprises to develop the network marketing;
in the process of manufacturing and managing the enterprise website, the visual experience of website visitors should be emphasized, the customer service is enhanced, the network service is perfected, and the attention of potential customers is attracted, so that the distribution ratio of the display plate blocks of the construction information of the enterprise website is particularly important;
however, in the management process of website construction information display, accurate analysis of audience degree of display sections of a website is difficult to perform by the existing enterprise, so that the distribution ratio and the push priority of each display section in the website cannot be efficiently managed, the propaganda effect of the enterprise website is inhibited, and the development and progress of the enterprise are hindered;
in order to solve the above-mentioned drawbacks, a technical solution is now provided.
Disclosure of Invention
The invention aims to solve the problems that the accurate analysis of audience degree of the display plate of the website is difficult to be carried out in the management process of the website construction information display of the existing enterprise, and the distribution proportion and the push priority of each display plate in the website cannot be efficiently managed, thereby inhibiting the propaganda effect of the website of the enterprise and hindering the development and progress of the enterprise, by carrying out classification calibration analysis on the identity of each visitor of the website of the enterprise, further obtaining the visitor with a visitor identity label or a member identity label, and on the basis of the above, by using the modes of statistical summation, sequence sequencing and repeated inquiry and analysis of plate popup windows, realizing the accurate analysis of audience degree of the display plate of the website of the enterprise, and by using the modes of statistical summation and signal definition, at the same time of the distribution proportion of each display plate in the website of the enterprise, the method also realizes the effect of priority highlighting of each display section of the enterprise website, and further realizes the updating and section recombination of the website construction display section of the enterprise, thereby improving the efficient management of the enterprise website display information construction, simultaneously enhancing the propaganda effect of the enterprise website, promoting the development and progress of the enterprise, and providing the enterprise website construction information display management system based on big data.
The purpose of the invention can be realized by the following technical scheme:
an enterprise website construction information display management system based on big data comprises a website construction management platform, wherein a server is arranged inside the website construction information management platform, and the server is in communication connection with a data acquisition unit, a visitor classification unit, a cloud storage unit, a plate qualitative unit, a comprehensive analysis unit, an update pushing unit and a display terminal;
the website display information management platform is used for managing, analyzing and processing the audience condition of the website display section, acquiring visitor information, browsing data information and section display information of an enterprise website through the data acquisition unit, sending the visitor information of the enterprise website to the visitor classification unit through the server, and sending the browsing data information and the section display information of the enterprise website to the section qualitative unit through the server;
the visitor classification unit performs identity calibration analysis processing on received visitor information of the enterprise website, and sends the generated visitors of the visitor identity label and the visitor identity label to the cloud storage unit for storage, the edition qualitative unit performs multiple experience tracking analysis processing and accurate experience verification analysis processing respectively according to the visitor identity types, and sends the generated first audience edition, second audience edition and third audience edition … …, namely the z-th audience edition to the comprehensive analysis unit;
the comprehensive analysis unit carries out comprehensive comparison analysis processing on the received grade qualitative signals of all the display blocks, generates primary salient signals and secondary salient signals … … for the first time according to the primary salient signals and the secondary salient signals and sends the primary salient signals and the secondary salient signals to the updating and pushing unit, the updating and pushing unit carries out recombination positioning analysis processing on all the received salient evaluation signals, and sends the recombination results to the display terminal in a text word mode for display and output.
Further, the specific operation steps of the identity calibration analysis processing are as follows:
the method comprises the steps of carrying out identity marking on each visitor entering an enterprise website display platform, if the visitor is in an unregistered state, marking the visitor as a visitor identity label, and marking the visitor identity label as i, wherein i = {1, 2, 3 … n }, wherein i is a positive integer greater than or equal to 1;
if the visitor is in the login registration state, it is marked as a membership label, and the membership label is marked as j, and j = {1, 2, 3 … m }, where j is a positive integer greater than or equal to 1.
Further, the specific operation steps of the multiple experience tracking analysis processing are as follows:
step S1: tracking and analyzing each visitor marked as a visitor identity label, setting tracking time t, popping up a block intention option popup window for each visitor to perform first intention selection analysis processing when the tracking time t =5 minutes, and counting the times of block intention selection and CS (circuit switching) o O = {1, 2, 3 … z }, the number of times each piece is intentionally selected in descending order of magnitude, and CS o Sorting in a descending order, and obtaining a sorting set A of each display block according to the descending order, wherein the sorting set A = { o = max ，o max-1 ，o max-2 …o min }；
Step S2: when tracking timeWhen t =20 minutes, popping up the block intention option pop-up window again for each visitor to perform second intention selection analysis processing, and counting the times of the block intention selection and the CS o * The number of times of the block intention selection and CS are set in descending order o * Sorting in descending order, and obtaining a sorting set A of each display block according to the descending order * And sort set A * ={o max * ，o max-1 * ，o max-2 * …o min * }；
Step S3: obtaining two sorted sets A and A simultaneously * And performing information retrieval comparison analysis on each element in the two sorting sets one by one, if the sorting set A and the sorting set A are in the same order * If there are 3 or more than 3 display blocks in the element bit sequence, then according to the sorting set A * The display blocks are calibrated in the sequencing order in the system, and are positioned in a sequencing set A * O in the first position max * Marking as a first audience tile, o of a second bit max-1 * Designating as a second audience block, o of a third bit max-2 * Marked as the third audience plate, and so on, the z-th o min * A z-th audience section;
step S4: if the sorted set A and the sorted set A * If there are no display blocks in the element bit sequence of (1) and no display blocks in the element bit sequence are the same as (3), then the elements in the two sorting sets are integrated according to a formula Szx o =CS o +CS o * Obtaining the audience coefficient Szx of each display section o And audience coefficient Szx of each display section o And according to descending sorting, obtaining a sorting set C, performing signal calibration on each display section according to the sequence of the sorting set C, and sequentially calibrating the display sections into a first audience section, a second audience section and a third audience section … …, namely a z-th audience section.
Further, the specific operation steps of the intention selection analysis process are as follows:
acquiring the plate display information of an enterprise website, wherein the plate display information comprises an enterprise introduction display plate, an enterprise main body operation display plate, an enterprise consultation display plate, an enterprise product display plate and other supplementary plates, and establishing a plate intention option popup window according to the plate display information;
acquiring each option in a block intention option popup window, wherein the option is marked as k, and k = {1, 2, 3 … 5}, wherein k =1 represents an enterprise introduction display block, k =2 represents an enterprise subject management display block, k =3 represents an enterprise consultation display block, k =4 represents an enterprise product display block, and k =5 represents other supplement blocks;
recording the display section selected by the intention of each visitor, randomly popping up an opinion input box for the visitors to fill in the opinions when the visitors select other supplementary sections, extracting and marking keywords according to the filling contents of the visitors, establishing the display section according to the keywords, re-integrating the display section, wherein the number of the display section is o, and k is contained in o.
Further, the specific operation steps of the precise experience verification analysis process are as follows:
step SS 1: verifying and analyzing each visitor marked as a member identity label, and acquiring the total retention time tz in the browsing data information of the website of the visitors of j member identity labels in real time j The dwell time tm of the blocks jk And number of clicks cd of each layout jk And performing calculation analysis on the obtained product according to a formula
The obtained browsing coefficient czx of each layout k Wherein e1, e2 and e3 are weight factor coefficients of total stay time, stay time of each plate and number of clicks of each plate, respectively, and e2 > e3 > e1 > 0, e1+ e2+ e3= 3.3571;
step SS 2: calling the login intention section information of each visitor of the member identity label, counting the occupation ratio of each display section in the login intention section information, and generating the occupation ratio Zsx of each display section according to the occupation ratio k ；
Step SS 3: browsing coefficient czx of each layout block k Corresponding ratio value Zsx k Performing a normalization analysis according to formula Soz k =f2×czx k +f1×Zsx k Obtaining the audience coefficient Soz of each display section k Wherein f1 and f2 are respectively a browsing coefficient and a correction factor coefficient of a ratio, f2 > f1 > 0, f1+ f2=0.8401, and audience coefficients Soz of each display block are set to be Soz k And performing descending sorting according to the descending order, obtaining a sorting set D of each display section according to the descending order, sequentially performing signal calibration on each display section according to the sorting order in the sorting set D, and respectively calibrating the display sections into a first audience section, a second audience section, a third audience section, a fourth audience section and a fifth audience section.
Further, the specific operation steps of comprehensive evaluation analysis processing are as follows:
respectively counting the times of the display sections which are calibrated as a first audience section, a second audience section and a third audience section … … z-th audience section;
selecting a display plate block which is calibrated as a first audience plate block with the most times, performing signal calibration on the display plate block, and calibrating the display plate block into a first-level salient signal;
selecting a display section which is calibrated to be the second audience section for the most times, performing signal calibration on the display section, and calibrating the display section to be a secondary prominent signal;
and by analogy, selecting the display section which is calibrated to be the z-th audience section for the most times to calibrate the signal, and calibrating the display section as the most prominent signal.
Further, the specific operation steps of the recombinant localization analysis processing are as follows:
when the first-level prominent signal is received, the corresponding display section is subjected to preferential display distribution operation in the display distribution of website construction according to the first-level prominent signal, and the preferential display distribution operation is sent to a display terminal in a text typeface mode of 'the display section has the highest audience degree in website construction display';
when a secondary prominent signal is received, performing suboptimal display distribution operation on the corresponding display section in the display distribution of website construction according to the secondary prominent signal, and sending the display section to a display terminal in a text word mode of 'general audience degree of the display section in website construction display';
by analogy, when the most prominent signal is received, the corresponding display block is subjected to minimum display distribution operation in the display distribution of website construction according to the least prominent signal, and the minimum display distribution operation is sent to the display terminal in a text word mode of 'minimum audience degree of the display block in website construction display'.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the method, the identity of each visitor of the enterprise website is classified, calibrated and analyzed, so that the visitor with a tourist identity label or a member identity label is obtained, and on the basis of the visitor identity label or the member identity label, accurate analysis on audience rating of a display section of the enterprise website is realized in a visitor group of the tourist identity label by means of statistical summation, sequence sequencing and repeated inquiry and analysis of an intention section popup window;
2. the invention utilizes the modes of statistical summation and signal definition, realizes comprehensive analysis of audience degree of the display layout blocks of the enterprise website, also defines the distribution ratio of each display layout block in the enterprise website, realizes the effect of priority prominence on each display layout block of the enterprise website on the basis of the distribution ratio of each display layout block, and further realizes the updating and layout block recombination of the display layout block for the enterprise website construction, thereby improving the efficient management of the enterprise website display information construction, enhancing the propaganda effect of the enterprise website and promoting the development and progress of the enterprise.
Drawings
In order to facilitate understanding for those skilled in the art, the present invention will be further described with reference to the accompanying drawings;
FIG. 1 is a general block diagram of the system of the present invention.
Detailed Description
The technical solutions of the present invention will be described below clearly and completely in conjunction with the embodiments, 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.
The first embodiment is as follows:
as shown in fig. 1, an enterprise website construction information display management system based on big data comprises a website construction management platform, wherein a server is arranged in the website construction information management platform, and the server is in communication connection with a data acquisition unit, a visitor classification unit, a cloud storage unit, a plate qualitative unit, a comprehensive analysis unit, an update push unit and a display terminal;
the website display information management platform is used for managing, analyzing and processing the audience condition of the website display section, acquiring visitor information, browsing data information and section display information of an enterprise website through the data acquisition unit, sending the visitor information of the enterprise website to the visitor classification unit through the server, and sending the browsing data information and the section display information of the enterprise website to the section qualitative unit through the server;
the visitor information is used for representing information data for recording registration states of all visitors entering and browsing the enterprise website, the browsing data information is used for representing data information of conditions that the visitors who have logged in and registered the enterprise website browse the enterprise website, and the browsing data information comprises total stay time, stay time of each layout block and click times of each layout block, wherein the total stay time is used for representing total duration from the time when the visitors enter the enterprise website to the time when the visitors close the enterprise website, the stay time of each layout block is used for representing the total duration of stay of the visitors on each layout block, and the click times of each layout block is used for representing the total times of clicks of the visitors on each layout block;
the section display information is used for representing information data of all display sections contained in the enterprise website construction information, and the section display information comprises an enterprise introduction display section, an enterprise main body operation display section, an enterprise consultation display section, an enterprise product display section and other supplementary sections;
the visitor classification unit performs identity calibration analysis processing on received visitor information of the enterprise website, and sends the generated visitors of the visitor identity label and the visitor identity label to the cloud storage unit for storage, the edition qualitative unit performs multiple experience tracking analysis processing and accurate experience verification analysis processing respectively according to the visitor identity types, and sends the generated first audience edition, second audience edition and third audience edition … …, namely the z-th audience edition to the comprehensive analysis unit;
the comprehensive analysis unit performs comprehensive comparison analysis processing on the received grade qualitative signals of the display sections, generates primary salient signals and secondary salient signals … …, sends the primary salient signals and the secondary salient signals to the updating and pushing unit, the updating and pushing unit performs recombination positioning analysis processing on the received salient judgment signals of all the levels, recombines, positions and analyzes the display sections, and sends the recombination results to the display terminal in a text word mode for display and output.
Example two:
as shown in figure 1, the visitor information of the enterprise website is collected through the data collection unit, the visitor information of the enterprise website is sent to the visitor classification unit through the server, when the visitor classification unit receives the visitor information of the enterprise website, identity calibration analysis processing is carried out according to the visitor information, and the specific operation steps are as follows:
identity marking is carried out on each visitor entering the enterprise website display platform, if the visitor is not logged in, the visitor is marked as a visitor identity label, the visitor identity label is marked as i, and i = {1, 2, 3 … n }, wherein i is a positive integer greater than or equal to 1, and it needs to be noted that i represents the visitor of each visitor identity label;
if the visitor is in the login registration state, the visitor is marked as a member identity tag, the member identity tag is marked as j, and j = {1, 2, 3 … m }, wherein j is a positive integer greater than or equal to 1, and it needs to be noted that j represents the visitor of each member identity tag;
the generated visitors of the tourist identity label and the member identity label are sent to a cloud storage unit for storage;
when the plate qualitative unit calls visitors of the tourist identity labels stored in the cloud storage unit and accordingly performs multiple experience tracking analysis processing, the specific operation steps are as follows:
step S1: tracking and analyzing each visitor marked as a visitor identity label, and setting tracking time t, wherein the tracking time is calculated from the time when the visitor enters an enterprise website platform, and when the tracking time t =5 minutes, popping up a block intention option popup window for each visitor to perform first intention selection and analysis processing, and the specific operation steps are as follows:
step S1-1: acquiring the section display information of the enterprise website, and establishing a section intention option popup window according to the section display information;
step S1-2: acquiring each option in a block intention option popup window, wherein the option is marked as k, and k = {1, 2, 3 … 5}, wherein k =1 represents an enterprise introduction display block, k =2 represents an enterprise subject management display block, k =3 represents an enterprise consultation display block, k =4 represents an enterprise product display block, and k =5 represents other supplementary blocks, it needs to be noted that the other supplementary blocks refer to block options which are lacked in the block intention option popup window and are wanted to be known by visitors, so that the set agile supplementary options are used, filling of visitors is used as a basis of the derived display blocks and are incorporated into analysis of the enterprise website display block, and therefore, the effect of analyzing and judging construction information of an enterprise website more comprehensively is achieved;
step S1-3: recording the display plate selected by the intention of each visitor, randomly popping up an opinion input box for the visitors to fill in opinions when the visitors select other supplementary plates, extracting and marking keywords according to the filling contents of the visitors, establishing the display plate according to the keywords, re-integrating the display plate with the mark of o, o = {1, 2, 3 … z }, wherein k is contained in o, and it needs to be explained that o represents the sum of the display plate established by the enterprise website and the display plate additionally extracted according to the opinions of the visitors;
step S2: and counting the times of intention selection of each edition and CS o The number of times of the block intention selection and CS are set in descending order o Sorting in a descending order, and obtaining a sorting set of each display plate block according to the descending order sequenceClosing A and ordering set A = { o = max ，o max-1 ，o max-2 …o min }；
Step S3: when the tracking time t =20 minutes, popping up a section intention option popup window again for each visitor to perform secondary intention selection analysis processing, and counting the times of the section intention selection and the CS o * The number of times of the block intention selection and CS are set in descending order o * Sorting in descending order, and obtaining a sorting set A of each display block according to the descending order * And sort set A * ={o max * ，o max-1 * ，o max-2 * …o min * }；
Step S4: obtaining two sorted sets A and A simultaneously * And performing information retrieval comparison analysis on each element in the two sorting sets one by one, if the sorting set A and the sorting set A are in the same order * If there are 3 or more than 3 display blocks in the element bit sequence, then according to the sorting set A * The display blocks are calibrated in the sequencing order in (1), and the order is set to max * Designated as the first audience block, o max-1 * Demarcating as a second audience section, o max-2 * Marked as the third audience plate, and so on, the z-th o min * Designated as z-th audience section;
step S5: if the sorted set A and the sorted set A * If there are no display blocks in the element bit sequence of (1) and no display blocks in the element bit sequence are the same as (3) or more, then the elements in the two sorting sets are integrated according to a formula Szx o =CS o +CS o * Obtaining the audience coefficient Szx of each display section o And audience coefficient Szx of each display section o According to descending sorting, a sorting set C is obtained, signal calibration is carried out on all display sections according to the sequence of the sorting set C, and the display sections are sequentially calibrated into a first audience section, a second audience section and a third audience section … … z-th audience section;
the generated first audience section, second audience section and third audience section … … z-th audience section are sent to a comprehensive analysis unit;
when the plate qualitative unit calls visitors of the member identity tags stored in the cloud storage unit, accurate experience verification analysis processing is carried out according to the visitors, and the specific operation steps are as follows;
step SS 1: verifying and analyzing each visitor marked as a member identity label, acquiring the total stay time, the stay time of each section and the click times of each section in the browsing data information of the website of the visitors with j member identity labels in real time, and respectively marking the total stay time, the stay time of each section and the click times of each section as tz j 、tm jk And cd jk And performing calculation analysis on the data according to a formula
The obtained browsing coefficient czx of each layout k Wherein e1, e2 and e3 are weight factor coefficients of total staying time, staying time of each tile and number of clicks of each tile, respectively, and e2 > e3 > e1 > 0, e1+ e2+ e3=3.3571, it should be noted that the browsing coefficient czx is k The larger the expression numerical value is, the more the corresponding display block is favored and concerned by visitors, and the weight factor coefficient is used for balancing the proportion weight of each item of data in formula calculation, so that the accuracy of the calculation result is promoted;
step SS 2: calling login intention section information of each visitor of the member identity label, sequentially calling display sections in the login intention section information of the visitor of each member identity label in the enterprise website, marking the total times of intention section selection of the visitors of all the member identity labels as GZ, and marking the sum of the number of the display sections correspondingly selected by the visitors of all the member identity labels as G k According to formula Zsx k =G k Dividing GZ x 100% to obtain the ratio Zsx of each display block k ；
For example, when k =1, G 1 The total times of the enterprise introduction and display block intention selection are represented, the value of GZ is assumed to be 100, and G 1 If the value is 10, the percentage value of the enterprise introduction display block is Zsx 1 =10%；
It should be noted that the login intention section information is an option which must be selected when a visitor registers a website, and is also used for analyzing the audience degree of the display board section of the enterprise website more comprehensively;
step SS 3: browsing coefficient czx of each layout block k Corresponding proportion Zsx k Performing a normalization analysis according to formula Soz k =f2×czx k +f1×Zsx k Obtaining the audience coefficient Soz of each display section k Wherein f1 and f2 are respectively browsing coefficients and correction factor coefficients of a ratio, f2 > f1 > 0, and f1+ f2=0.8401, it should be noted that the correction factor coefficients are used for correcting deviations of various parameters in the formula calculation process, so that the calculation is more accurate and the parameter data are obtained;
step SS 4: audience coefficient Soz for each display section k Performing descending sorting according to the descending order, obtaining a sorting set D of each display section according to the descending order, sequentially performing signal calibration on each display section according to the sorting order in the sorting set D, and respectively calibrating the display sections into a first audience section, a second audience section, a third audience section, a fourth audience section and a fifth audience section;
step SS 5: and sending the generated first audience section, the second audience section, the third audience section, the fourth audience section and the fifth audience section to a comprehensive analysis unit.
Example three:
as shown in fig. 1, when the comprehensive analysis unit receives the grade qualitative signal of each display plate, and performs comprehensive evaluation analysis processing and reorganization positioning analysis processing according to the grade qualitative signal, the specific operation steps are as follows:
respectively counting the times of calibrating each display section into a first audience section, a second audience section and a third audience section … …, namely a z-th audience section;
selecting a display plate which is marked as a first audience plate with the most times, carrying out signal marking on the display plate, marking the display plate as a primary prominent signal, carrying out preferential display distribution operation on the display plate in display distribution of website construction according to the primary prominent signal, and sending the display plate to a display terminal in a text type mode of 'the display plate has the highest audience degree in website construction display';
selecting a display section which is calibrated to be the second audience section with the most times, performing signal calibration on the display section, calibrating the display section to be a secondary prominent signal, performing suboptimal display distribution operation on the display section in display distribution of website construction according to the secondary prominent signal, and sending the display section to a display terminal in a text word mode of 'general audience degree of the display section in website construction display';
and by analogy, selecting the display section which is calibrated to be the z-th audience section for signal calibration, calibrating the display section to be the most prominent signal, performing minimum display distribution operation on the display section in the display distribution of website construction according to the most prominent signal, and sending the text word in a mode of 'minimum audience degree of the display section in website construction display' to the display terminal.
The formulas are all obtained by acquiring a large amount of data and performing software simulation, and a formula close to a true value is selected, and coefficients in the formulas are set by a person skilled in the art according to actual conditions;
such as the formula:
；
collecting multiple groups of sample data and setting corresponding weight factor coefficient for each group of sample data by the technicians in the field; substituting the set weight factor coefficient and the acquired sample data into formulas, forming a ternary linear equation set by any three formulas, screening the calculated coefficients and taking the mean value to obtain values of e1, e2 and e3 which are 0.7548, 1.3762 and 1.2261 respectively;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and a corresponding weight factor coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relationship between the parameters and the quantized values is not affected.
When the system is used, the visitor information of the enterprise website is collected, the identity of each visitor of the enterprise website is classified, calibrated and analyzed, the visitor with a visitor identity label or a member identity label is obtained, and the audience degree of the display edition block of the enterprise website is comprehensively analyzed and processed on the basis of identity classification calibration;
the method comprises the steps of utilizing a statistical summation, sequence sequencing, sequence one-by-one comparison and signalized calibration mode to realize tracking analysis of each visitor calibrated as a visitor identity label, and further realizing accurate analysis of audience of a display section of an enterprise website in a visitor identity label visitor group through setting a time threshold and a mode of repeated inquiry analysis of an intention section popup window;
the verification and analysis of each visitor of the member identity label are realized by utilizing the modes of symbolic calibration, formulaic analysis and signalized calibration, and further, the accurate analysis of the audience of the display section of the enterprise website is realized in the member identity label visitor group;
by means of statistical summation and signal definition, analysis data of all visitors of the enterprise website are used as the basis, comprehensive analysis of audience degree of the enterprise website display sections is achieved, distribution proportion of the display sections in the enterprise website is also determined, priority of the display sections of the enterprise website is given priority on the basis of the distribution proportion of the display sections, updating and section recombination of the enterprise website construction display sections are achieved, efficient management of enterprise website display information construction is improved, the propaganda effect of the enterprise website is enhanced, and development and progress of the enterprise are promoted.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise forms disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (5)
1. An enterprise website construction information display management system based on big data comprises a website construction management platform and is characterized in that a server is arranged inside the website construction information management platform, and the server is in communication connection with a data acquisition unit, a visitor classification unit, a cloud storage unit, a plate qualitative unit, a comprehensive analysis unit, an update pushing unit and a display terminal;
the website display information management platform is used for managing, analyzing and processing the audience condition of the website display section, acquiring visitor information, browsing data information and section display information of an enterprise website by using the data acquisition unit, and respectively sending the visitor information, the browsing data information and the section display information to the visitor classification unit and the section qualitative unit;
visitor classification unit carries out identity calibration analysis and processing to the visitor information of receiving to all send the visitor of visitor identity label and the member identity label that generates to cloud memory cell and save, the qualitative unit of plate carries out multiple experience tracking analysis and processing and accurate experience verification analysis and processing respectively according to visitor identity type, and the specific operation process of multiple experience tracking analysis and processing as follows:
tracking and analyzing each visitor marked as a visitor identity label, setting tracking time t, popping up a block intention option popup window for each visitor to perform first intention selection analysis processing when the tracking time t =5 minutes, wherein the specific operation process is as follows:
acquiring the section display information of an enterprise website, wherein the section display information comprises an enterprise introduction display section, an enterprise main body operation display section, an enterprise consultation display section, an enterprise product display section and other supplementary sections, and establishing a section intention option popup window according to the section display information;
acquiring each option in a block intention option popup window, wherein the option is marked as k, and k = {1, 2, 3 … 5}, wherein k =1 represents an enterprise introduction display block, k =2 represents an enterprise subject management display block, k =3 represents an enterprise consultation display block, k =4 represents an enterprise product display block, and k =5 represents other supplement blocks;
recording the display plate selected by the intention of each visitor, randomly popping up an opinion input box for the visitors to fill in the opinions when the visitors select other supplementary plates, extracting and marking keywords according to the filling contents of the visitors, establishing the display plate according to the keywords, re-integrating the display plate, wherein the mark is o, and k is contained in o;
and counting the number of times of intention selection of each block and CS o O = {1, 2, 3 … z }, number of times of block intention selection, and CS o Sorting in a descending order, and obtaining a sorting set A of each display block according to the descending order;
when the tracking time t =20 minutes, popping up a section intention option popup window again for each visitor to perform secondary intention selection analysis processing, and counting the times of the section intention selection and the CS o * The number of times of intention selection of each block and CS o * Sorting in descending order, and obtaining a sorting set A of each display block according to the descending order * ；
Obtaining two sorted sets A and A simultaneously * Performing information retrieval, comparison and analysis one by one, and determining whether the sorted set A is the same as the sorted set A * If there are 3 or more than 3 display blocks in the element bit sequence, then according to the sorting set A * The display blocks are calibrated in the sequencing order in the sequence set A * Marking the display section at the first position as a first audience section, marking the display section at the second position as a second audience section, marking the display section at the third position as a third audience section, and so on, marking the display section at the z-th position as a z-th audience section;
if the sorted set A and the sorted set A * If the display sections on the element bit sequence are not the same as each other by 3 or more than 3, the elements in the two sequencing sets are integrated to obtain the audience coefficient Szx of each display section o And audience coefficient Szx of each display section o Sorting in descending order, obtaining rowsThe display sections are subjected to signal calibration according to the sequence of the sequencing set C, and are sequentially calibrated to be a first audience section, a second audience section and a third audience section … …, namely a z-th audience section;
the generated first audience section, second audience section and third audience section … … z audience section are sent to the comprehensive analysis unit;
the comprehensive analysis unit performs comprehensive comparison analysis processing on the received grade qualitative signals of all the display sections, generates primary salient signals and secondary salient signals … …, sends the primary salient signals and the secondary salient signals to the updating and pushing unit, performs recombination positioning analysis processing on all the display sections by utilizing the received salient evaluation signals of all the levels, and sends the recombination results to the display terminal in a text word mode for display and output.
2. The big-data-based enterprise website construction information display management system according to claim 1, wherein the specific operation steps of the identity calibration analysis processing are as follows:
the method comprises the steps of carrying out identity marking on each visitor entering an enterprise website display platform, if the visitor is in an unregistered state, marking the visitor as a visitor identity label, and marking the visitor identity label as i, wherein i = {1, 2, 3 … n }, wherein i is a positive integer greater than or equal to 1;
if the visitor is in the login registration state, the visitor is marked as a membership tag, the membership tag is marked as j, and j = {1, 2, 3 … m }, wherein j is a positive integer greater than or equal to 1.
3. The big-data-based enterprise website construction information display management system according to claim 1, wherein the specific operation steps of the precise experience verification analysis processing are as follows:
verifying and analyzing each visitor marked as the member identity label, and acquiring the total residence time tz of j visitors of the member identity label in real time j The dwell time tm of the blocks jk And number of clicks of each layoutDigital cd jk And the calculated and analyzed browsing coefficient czx of each plate k ；
Calling the login intention section information of each visitor of the member identity label, counting the occupation ratio of each display section in the login intention section information, and generating the occupation ratio Zsx of each display section according to the occupation ratio k ；
Browsing coefficient czx of each layout block k Corresponding proportion Zsx k Carrying out normalization analysis processing to obtain the audience coefficient Soz of each display section k Audience coefficient Soz for each display section k And performing descending sorting, obtaining a sorting set D of each display section according to the descending sequence, sequentially performing signal calibration on each display section according to the sorting sequence in the sorting set D, and respectively calibrating the display sections into a first audience section, a second audience section, a third audience section, a fourth audience section and a fifth audience section.
4. The big-data-based enterprise website construction information display management system according to claim 1, wherein the specific operation steps of the comprehensive rating analysis processing are as follows:
respectively counting the times of the display sections which are calibrated as a first audience section, a second audience section and a third audience section … … z-th audience section;
selecting a display plate block which is calibrated as a first audience plate block with the most times, performing signal calibration on the display plate block, and calibrating the display plate block into a first-level salient signal;
selecting a display section which is calibrated to be the second audience section for the most times, performing signal calibration on the display section, and calibrating the display section to be a secondary prominent signal;
and by analogy, selecting the display section which is calibrated to be the z-th audience section for the most times to calibrate the signal, and calibrating the display section as the most prominent signal.
5. The big-data-based enterprise website construction information display management system according to claim 4, wherein the specific operation steps of the reorganization positioning analysis processing are as follows:
when the first-level prominent signal is received, performing priority display distribution operation on the corresponding display section in the display distribution of website construction according to the first-level prominent signal, and sending the display section to a display terminal in a text type mode of highest audience degree of the display section in website construction display;
when a secondary prominent signal is received, performing suboptimal display distribution operation on the corresponding display section in the display distribution of website construction according to the secondary prominent signal, and sending the display section to a display terminal in a text word mode of 'general audience degree of the display section in website construction display';
by analogy, when the most prominent signal is received, the corresponding display block is subjected to minimum display distribution operation in the display distribution of website construction according to the least prominent signal, and the minimum display distribution operation is sent to the display terminal in a text word mode of 'minimum audience degree of the display block in website construction display'.
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