CN113238920A - Data analysis system and method for quantitative evaluation of search engine optimization result - Google Patents
Data analysis system and method for quantitative evaluation of search engine optimization result Download PDFInfo
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Abstract
The invention belongs to the technical field of search engine optimization, and discloses a data analysis system and a data analysis method for quantitative evaluation of search engine optimization results, wherein the data analysis system for quantitative evaluation of the search engine optimization results comprises: the system comprises a log data acquisition module, a log data analysis module, a data transmission module, a central control module, a search engine optimization module, an engine optimization configuration module, an optimization result quantification module, a quantification result evaluation module, a data analysis module, a cloud storage module and an update display module. According to the invention, through the arrangement of the log data acquisition module and the log data analysis module, the log data can be obtained, and the log analysis result under the selected dimensionality can be obtained according to the log data; the SEO operation is simplified through the search engine optimization module, the usability of the SEO is improved, and the SEO efficiency is improved; through the engine optimal configuration module, a basis can be found for the search engine optimal configuration, so that the search engine optimal configuration becomes reasonable, and the resource waste is reduced.
Description
Technical Field
The invention belongs to the technical field of search engine optimization, and particularly relates to a data analysis system and method for quantitative evaluation of search engine optimization results.
Background
At present, in Search Engine Optimization (SEO), crawlers of various Search engines grab various websites to generate a large amount of behavior logs of the crawlers, SEO personnel need to analyze massive logs to obtain an analysis result, and SEO is started to be performed on the websites according to the working experience of the SEO personnel to achieve the purpose of SEO on the websites. However, since the analysis of the behavior log of the crawler of the search engine needs to be performed by SEO personnel with SEO expertise, and many companies, teams or individuals do not have the SEO knowledge, the behavior log of the crawler of the search engine cannot be analyzed, and further, the SEO and the search engine optimization result cannot be quantitatively evaluated. Therefore, a new data analysis system for optimizing the quantitative evaluation of the result of the search engine is needed.
Through the above analysis, the problems and defects of the prior art are as follows: the existing analysis of the behavior log of the crawler of the search engine needs to be executed by SEO personnel with SEO professional knowledge, and many companies, teams or individuals do not have the SEO knowledge, so that the behavior log of the crawler of the search engine cannot be analyzed, and further the quantitative evaluation of the SEO and the optimization result of the search engine cannot be carried out.
Disclosure of Invention
Aiming at the problems in the prior art, the invention provides a data analysis system and a data analysis method for quantitative evaluation of search engine optimization results.
The invention is realized in such a way that a data analysis system for the quantitative evaluation of the optimization result of a search engine comprises:
the log data acquisition module is connected with the central control module and used for acquiring logs generated when the website contents are crawled by a crawler of a search engine through log data acquisition equipment, analyzing the logs according to a configured log format and acquiring log data contained in the logs;
the log data analysis module is connected with the central control module and used for analyzing and processing the log data through a data analysis program to obtain a log data analysis result under a selected dimension;
the data transmission module is connected with the central control module and used for transmitting the acquired log data and the log data analysis result to the central processor through the data transmission equipment;
the central control module is connected with the log data acquisition module, the log data analysis module, the data transmission module, the search engine optimization module, the engine optimization configuration module, the optimization result quantification module, the quantification result evaluation module, the data analysis module, the cloud storage module and the update display module and is used for coordinating and controlling the normal operation of each module of the data analysis system for quantitatively evaluating the search engine optimization results through the central processing unit;
the search engine optimization module is connected with the central control module and used for optimizing a search engine according to the log data analysis result through a search engine optimization program;
the engine optimization configuration module is connected with the central control module and used for performing optimization configuration on the search engine according to the data search engine optimization processing result through an engine optimization configuration program;
the optimization result quantization module is connected with the central control module and is used for quantizing the search engine optimization processing result through a quantization processing program;
the quantitative result evaluation module is connected with the central control module and used for evaluating the quantitative processing of the search engine optimization result through an evaluation program and generating an evaluation report;
the data analysis module is connected with the central control module and is used for analyzing the quantization process of the search engine optimization result according to the evaluation report through a data analysis program;
the cloud storage module is connected with the central control module and used for storing the acquired log data, log data analysis results, data search engine optimization results, engine optimization configuration information, optimization result quantitative processing information, evaluation reports and data analysis results through the cloud database server;
and the updating display module is connected with the central control module and is used for updating and displaying the acquired log data, the log data analysis result, the data search engine optimization result, the engine optimization configuration information, the optimization result quantitative processing information, the evaluation report and the real-time data of the data analysis result through a display.
Further, in the log data obtaining module, the log data includes an internet protocol IP address of the search engine crawler, a time for the search engine crawler to crawl the website content, a request method of the search engine crawler, a request address of the search engine crawler, a status code of a website response, and user agent data of the search engine crawler.
Further, in the data search engine optimization module, the optimizing the search engine according to the log data analysis result by the search engine optimization program includes:
(1) obtaining the log data analysis result;
(2) judging whether the log analysis result triggers an automatic optimization condition, if so, performing automatic search engine optimization on the website;
(3) and giving out an optimization suggestion for the website according to the log analysis result, and optimizing a search engine for the website according to the optimization suggestion.
Further, the automatic optimization condition comprises that the address carrying the dynamic parameter is automatically forbidden to be captured; triggering an automatic optimization condition by the log analysis result, wherein the log analysis result comprises that the request address of the search engine crawler in the log analysis result is an address carrying dynamic parameters; and performing automatic search engine optimization on the website, including automatically adding the address into a web crawler exclusion standard file to prohibit capturing the address.
Further, in the optimization result quantization module, the quantizing the search engine optimization processing result by using a quantization processing program includes:
(1) receiving search engine optimization processing data to be quantized;
(2) calculating a quantization parameter according to the distribution of the search engine optimization processing data to be quantized;
(3) and iteratively finding out an optimal quantization step length according to the quantization parameter and the data to be quantized, and quantizing the data to be quantized according to the optimal quantization step length to obtain a quantization processing result.
Further, the iteratively finding an optimal quantization step size according to the quantization parameter and the data to be quantized includes:
iteratively obtaining the optimal quantization step size according to a quantization error function comprising the quantization parameter and the data to be quantized; wherein the quantization error function is:
wherein, Q (x)i) For the quantized data, xiFor the data to be quantized, N is xiΔ is the optimal quantization step;
wherein g (x) when the quantization scale M is an even numberi) Expressed as:
g (x) when the quantization level M is oddi) Expressed as:
wherein slop (x)i) Expressed as:
further, in the quantitative result evaluation module, the evaluation of the quantitative processing of the search engine optimization result by the evaluation program includes:
(1) constructing an index sufficient set of a quantitative processing result evaluation index system through initial set construction, index screening and sufficient set extraction;
(2) constructing an evaluation frame of a quantitative processing result evaluation index system, and constructing a quantitative processing result evaluation index system model;
(3) and evaluating the quantization processing of the search engine optimization result according to the quantization processing result evaluation index system model to obtain an evaluation result.
Further, the constructing of the quantitative processing result evaluation index system model includes:
aiming at a given evaluation target or an evaluation object focused on, the target fitting degree of the quantitative processing result evaluation index system comprises two sub-indexes of weight fitting degree and evaluation fitting degree of related indexes; the calculation of the weight attaching degree is based on the weight setting of the related indexes of the original index system, and the evaluation of the attaching degree is based on the statistical opinion mean value and the dispersion of the expert opinions; the calculation formula of the weight fitting degree is as follows:
according to the purpose and requirement of evaluation, if the evaluation object is decomposed into m evaluation elements, the following formula is used for the fitness b of the original index system to the ith evaluation elementiAnd (3) calculating:
bi＝qiEi；
wherein E isiIs the sum of the index weights related to the evaluation element in the original index system, qiThe self-adaptive weight of the fitness of the original index system to the ith evaluation element is shown, and the expression k is the number of indexes related to the ith evaluation element.
It is another object of the present invention to provide a computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for applying the data analysis system for quantitative evaluation of search engine optimization results when executed on an electronic device.
It is another object of the present invention to provide a computer-readable storage medium storing instructions that, when executed on a computer, cause the computer to apply the data analysis system for quantitative evaluation of search engine optimization results.
By combining all the technical schemes, the invention has the advantages and positive effects that: according to the data analysis system for the search engine optimization result quantitative evaluation, log data can be obtained through the arrangement of the log data acquisition module and the log data analysis module, and log analysis results under selected dimensionalities can be obtained according to the log data; the search engine optimization module is used for carrying out SEO on the website according to the log analysis result, so that the operation of SEO is simplified, the usability of SEO is improved, SEO problems in website updating and maintenance can be found in time, and the SEO efficiency is improved; through the engine optimal configuration module, a basis can be found for the search engine optimal configuration, so that the search engine optimal configuration becomes reasonable, and the resource waste caused by blind configuration is reduced.
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In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments of the present invention will be briefly described below, and it is obvious that the drawings described below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a block diagram of a data analysis system for quantitative evaluation of search engine optimization results provided by an embodiment of the present invention;
in the figure: 1. a log data acquisition module; 2. a log data analysis module; 3. a data transmission module; 4. a central control module; 5. a search engine optimization module; 6. an engine optimization configuration module; 7. an optimization result quantization module; 8. a quantitative result evaluation module; 9. a data analysis module; 10. a cloud storage module; 11. and updating the display module.
Fig. 2 is a flowchart of a data analysis method for quantitative evaluation of search engine optimization results according to an embodiment of the present invention.
Fig. 3 is a flowchart of a method for optimizing a search engine according to a log data analysis result by using a search engine optimization program through a data search engine optimization module according to an embodiment of the present invention.
Fig. 4 is a flowchart of a method for performing quantization processing on a search engine optimization processing result by using a quantization processing program through an optimization result quantization module according to an embodiment of the present invention.
Fig. 5 is a flowchart of a method for evaluating the quantization process of the search engine optimization result by using an evaluation program through a quantization result evaluation module according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the following embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
In view of the problems in the prior art, the present invention provides a data analysis system and method for quantitatively evaluating the optimized result of a search engine, which are described in detail below with reference to the accompanying drawings.
As shown in fig. 1, a data analysis system for quantitative evaluation of search engine optimization results provided in an embodiment of the present invention includes: the system comprises a log data acquisition module 1, a log data analysis module 2, a data transmission module 3, a central control module 4, a search engine optimization module 5, an engine optimization configuration module 6, an optimization result quantification module 7, a quantification result evaluation module 8, a data analysis module 9, a cloud storage module 10 and an update display module 11.
The log data acquisition module 1 is connected with the central control module 4 and used for acquiring logs generated when a search engine crawler crawls website contents through log data acquisition equipment, analyzing the logs according to a configured log format and acquiring log data contained in the logs;
the log data analysis module 2 is connected with the central control module 4 and used for analyzing and processing the log data through a data analysis program to obtain a log data analysis result under a selected dimension;
the data transmission module 3 is connected with the central control module 4 and used for sending the acquired log data and the log data analysis result to the central processor through data transmission equipment;
the central control module 4 is connected with the log data acquisition module 1, the log data analysis module 2, the data transmission module 4, the search engine optimization module 5, the engine optimization configuration module 6, the optimization result quantification module 7, the quantification result evaluation module 8, the data analysis module 9, the cloud storage module 10 and the update display module 11, and is used for coordinating and controlling the normal operation of each module of the data analysis system for quantitatively evaluating the search engine optimization results through a central processing unit;
the search engine optimization module 5 is connected with the central control module 4 and used for optimizing a search engine according to the log data analysis result through a search engine optimization program;
the engine optimization configuration module 6 is connected with the central control module 4 and used for performing optimization configuration on the search engine according to the data search engine optimization processing result through an engine optimization configuration program;
the optimization result quantization module 7 is connected with the central control module 4 and is used for performing quantization processing on the search engine optimization processing result through a quantization processing program;
the quantitative result evaluation module 8 is connected with the central control module 4 and is used for evaluating the quantitative processing of the search engine optimization result through an evaluation program and generating an evaluation report;
the data analysis module 9 is connected with the central control module 4 and is used for analyzing the quantization process of the search engine optimization result according to the evaluation report through a data analysis program;
the cloud storage module 10 is connected with the central control module 4 and used for storing the acquired log data, log data analysis results, data search engine optimization results, engine optimization configuration information, optimization result quantitative processing information, evaluation reports and data analysis results through a cloud database server;
and the updating display module 11 is connected with the central control module 4 and is used for updating and displaying the acquired log data, the log data analysis result, the data search engine optimization result, the engine optimization configuration information, the optimization result quantization processing information, the evaluation report and the real-time data of the data analysis result through a display.
As shown in fig. 2, the data analysis method for quantitatively evaluating the optimization result of the search engine according to the embodiment of the present invention includes the following steps:
s101, acquiring logs generated when website contents are crawled by a search engine crawler through a log data acquisition module by using log data acquisition equipment, and analyzing the logs according to a configured log format to obtain log data contained in the logs;
s102, analyzing and processing the log data by a log data analysis module through a data analysis program to obtain a log data analysis result in a selected dimension; sending the acquired log data and the log data analysis result to a central processing unit by using data transmission equipment through a data transmission module;
s103, the normal operation of each module of the data analysis system for quantitatively evaluating the optimization result of the search engine is coordinated and controlled by a central control module through a central processing unit; optimizing the search engine by utilizing a search engine optimization program through a data search engine optimization module according to the log data analysis result;
s104, optimizing and configuring the search engine according to the data search engine optimization processing result by using an engine optimization configuration program through an engine optimization configuration module; quantizing the search engine optimization processing result by using a quantization processing program through an optimization result quantization module;
s105, evaluating the quantization processing of the search engine optimization result by utilizing an evaluation program through a quantization result evaluation module, and generating an evaluation report; analyzing the search engine optimization result quantification process according to the evaluation report by using a data analysis program through a data analysis module;
s106, storing the acquired log data, log data analysis results, data search engine optimization results, engine optimization configuration information, optimization result quantitative processing information, evaluation reports and data analysis results by using a cloud database server through a cloud storage module;
and S107, updating and displaying the acquired log data, the log data analysis result, the data search engine optimization result, the engine optimization configuration information, the optimization result quantitative processing information, the evaluation report and the real-time data of the data analysis result by using the display through the updating and displaying module.
In step S101 provided in the embodiment of the present invention, the log data includes an internet protocol IP address of the search engine crawler, a time for the search engine crawler to crawl website content, a request method of the search engine crawler, a request address of the search engine crawler, a status code of a website response, and user agent data of the search engine crawler.
As shown in fig. 3, in step S103 provided in the embodiment of the present invention, the optimizing a search engine by using a search engine optimization program through a data search engine optimization module according to the log data analysis result includes:
s201, obtaining the log data analysis result;
s202, judging whether the log analysis result triggers an automatic optimization condition, and if so, performing automatic search engine optimization on the website;
s203, giving out an optimization suggestion for the website according to the log analysis result, and optimizing a search engine for the website according to the optimization suggestion.
In step S302 provided in the embodiment of the present invention, the automatically optimizing condition includes automatically prohibiting capturing an address carrying a dynamic parameter; triggering an automatic optimization condition by the log analysis result, wherein the log analysis result comprises that the request address of the search engine crawler in the log analysis result is an address carrying dynamic parameters; and performing automatic search engine optimization on the website, including automatically adding the address into a web crawler exclusion standard file to prohibit capturing the address.
As shown in fig. 4, in step S104 provided in the embodiment of the present invention, the quantizing the search engine optimization result by using a quantization processing program through the optimization result quantizing module, includes:
s301, receiving search engine optimization processing data to be quantized;
s302, calculating a quantization parameter according to the distribution of the optimized processing data of the search engine to be quantized;
and S303, iteratively finding out an optimal quantization step size according to the quantization parameter and the data to be quantized, and quantizing the data to be quantized according to the optimal quantization step size to obtain a quantization processing result.
In step S303 provided in the embodiment of the present invention, iteratively finding an optimal quantization step size according to the quantization parameter and the data to be quantized includes:
iteratively obtaining the optimal quantization step size according to a quantization error function comprising the quantization parameter and the data to be quantized; wherein the quantization error function is:
wherein, Q (x)i) For the quantized data, xiFor the data to be quantized, N is xiΔ is the optimal quantization step;
wherein g (x) when the quantization scale M is an even numberi) Expressed as:
g (x) when the quantization level M is oddi) Expressed as:
wherein slop (x)i) Expressed as:
as shown in fig. 5, in step S105, the evaluating, by the quantitative result evaluation module, the quantitative processing of the search engine optimization result by using an evaluation program includes:
s401, constructing an index sufficient set of a quantitative processing result evaluation index system through full set initial construction, index screening and sufficient set extraction;
s402, constructing an evaluation frame of a quantitative processing result evaluation index system, and constructing a quantitative processing result evaluation index system model;
and S403, evaluating the quantization processing of the search engine optimization result according to the quantization processing result evaluation index system model to obtain an evaluation result.
In step S402 provided in the embodiment of the present invention, the constructing a quantitative processing result evaluation index system model includes:
aiming at a given evaluation target or an evaluation object focused on, the target fitting degree of the quantitative processing result evaluation index system comprises two sub-indexes of weight fitting degree and evaluation fitting degree of related indexes; the calculation of the weight attaching degree is based on the weight setting of the related indexes of the original index system, and the evaluation of the attaching degree is based on the statistical opinion mean value and the dispersion of the expert opinions; the calculation formula of the weight fitting degree is as follows:
according to the purpose and requirement of evaluation, if the evaluation object is decomposed into m evaluation elements, the following formula is used for the fitness b of the original index system to the ith evaluation elementiAnd (3) calculating:
bi＝qiEi；
wherein E isiIs the sum of the index weights related to the evaluation element in the original index system, qiThe self-adaptive weight of the fitness of the original index system to the ith evaluation element is shown, and the expression k is the number of indexes related to the ith evaluation element.
In the description of the present invention, "a plurality" means two or more unless otherwise specified; the terms "upper", "lower", "left", "right", "inner", "outer", "front", "rear", "head", "tail", and the like, indicate orientations or positional relationships based on the orientations or positional relationships shown in the drawings, are only for convenience in describing and simplifying the description, and do not indicate or imply that the device or element referred to must have a particular orientation, be constructed in a particular orientation, and be operated, and thus, should not be construed as limiting the invention. Furthermore, the terms "first," "second," "third," and the like are used for descriptive purposes only and are not to be construed as indicating or implying relative importance.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When used in whole or in part, can be implemented in a computer program product that includes one or more computer instructions. When loaded or executed on a computer, cause the flow or functions according to embodiments of the invention to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, the computer instructions may be transmitted from one website site, computer, server, or data center to another website site, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL), or wireless (e.g., infrared, wireless, microwave, etc.)). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that includes one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy Disk, hard Disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above description is only for the purpose of illustrating the present invention and the appended claims are not to be construed as limiting the scope of the invention, which is intended to cover all modifications, equivalents and improvements that are within the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A data analysis system for quantitative evaluation of search engine optimization results, the data analysis system comprising:
the log data acquisition module is connected with the central control module and used for acquiring logs generated when the website contents are crawled by a crawler of a search engine through log data acquisition equipment, analyzing the logs according to a configured log format and acquiring log data contained in the logs;
the log data analysis module is connected with the central control module and used for analyzing and processing the log data through a data analysis program to obtain a log data analysis result under a selected dimension;
the data transmission module is connected with the central control module and used for transmitting the acquired log data and the log data analysis result to the central processor through the data transmission equipment;
the central control module is connected with the log data acquisition module, the log data analysis module, the data transmission module, the search engine optimization module, the engine optimization configuration module, the optimization result quantification module, the quantification result evaluation module, the data analysis module, the cloud storage module and the update display module and is used for coordinating and controlling the normal operation of each module of the data analysis system for quantitatively evaluating the search engine optimization results through the central processing unit;
the search engine optimization module is connected with the central control module and used for optimizing a search engine according to the log data analysis result through a search engine optimization program;
the engine optimization configuration module is connected with the central control module and used for performing optimization configuration on the search engine according to the data search engine optimization processing result through an engine optimization configuration program;
the optimization result quantization module is connected with the central control module and is used for quantizing the search engine optimization processing result through a quantization processing program;
the quantitative result evaluation module is connected with the central control module and used for evaluating the quantitative processing of the search engine optimization result through an evaluation program and generating an evaluation report;
the data analysis module is connected with the central control module and is used for analyzing the quantization process of the search engine optimization result according to the evaluation report through a data analysis program;
the cloud storage module is connected with the central control module and used for storing the acquired log data, log data analysis results, data search engine optimization results, engine optimization configuration information, optimization result quantitative processing information, evaluation reports and data analysis results through the cloud database server;
and the updating display module is connected with the central control module and is used for updating and displaying the acquired log data, the log data analysis result, the data search engine optimization result, the engine optimization configuration information, the optimization result quantitative processing information, the evaluation report and the real-time data of the data analysis result through a display.
2. The system for analyzing data on the quantitative evaluation of the optimization result of a search engine as claimed in claim 1, wherein the log data acquisition module is used for acquiring the log data, and the log data comprises an Internet Protocol (IP) address of the search engine crawler, a time for the search engine crawler to crawl website contents, a request method of the search engine crawler, a request address of the search engine crawler, a status code of website response and user agent data of the search engine crawler.
3. The data analysis system for quantitative evaluation of search engine optimization results according to claim 1, wherein in the data search engine optimization module, the optimizing the search engine according to the log data analysis results by the search engine optimization program comprises:
(1) obtaining the log data analysis result;
(2) judging whether the log analysis result triggers an automatic optimization condition, if so, performing automatic search engine optimization on the website;
(3) and giving out an optimization suggestion for the website according to the log analysis result, and optimizing a search engine for the website according to the optimization suggestion.
4. The data analysis system for quantitative evaluation of search engine optimization results according to claim 3, wherein the automatic optimization conditions include automatically disabling the crawling of addresses carrying dynamic parameters; triggering an automatic optimization condition by the log analysis result, wherein the log analysis result comprises that the request address of the search engine crawler in the log analysis result is an address carrying dynamic parameters; and performing automatic search engine optimization on the website, including automatically adding the address into a web crawler exclusion standard file to prohibit capturing the address.
5. The data analysis system for the quantitative evaluation of the optimization results of the search engine as claimed in claim 1, wherein the quantization module for the optimization results of the search engine, which is quantized by the quantization handler, comprises:
(1) receiving search engine optimization processing data to be quantized;
(2) calculating a quantization parameter according to the distribution of the search engine optimization processing data to be quantized;
(3) and iteratively finding out an optimal quantization step length according to the quantization parameter and the data to be quantized, and quantizing the data to be quantized according to the optimal quantization step length to obtain a quantization processing result.
6. The system of claim 5, wherein iteratively finding an optimal quantization step size based on the quantization parameter and the data to be quantized comprises:
iteratively obtaining the optimal quantization step size according to a quantization error function comprising the quantization parameter and the data to be quantized; wherein the quantization error function is:
wherein, Q (x)i) For the quantized data, xiFor the data to be quantized, N is xiΔ is the optimal quantization step;
wherein g (x) when the quantization scale M is an even numberi) Expressed as:
g (x) when the quantization level M is oddi) Expressed as:
wherein slop (x)i) Expressed as:
7. the data analysis system for the quantitative evaluation of the optimization results of search engine as claimed in claim 1, wherein the evaluation of the quantitative process of the optimization results of search engine by the evaluation program in the quantitative result evaluation module comprises:
(1) constructing an index sufficient set of a quantitative processing result evaluation index system through initial set construction, index screening and sufficient set extraction;
(2) constructing an evaluation frame of a quantitative processing result evaluation index system, and constructing a quantitative processing result evaluation index system model;
(3) and evaluating the quantization processing of the search engine optimization result according to the quantization processing result evaluation index system model to obtain an evaluation result.
8. The data analysis system for the quantitative evaluation of search engine optimization results according to claim 7, wherein the constructing of the quantitative processing result evaluation index system model comprises:
aiming at a given evaluation target or an evaluation object focused on, the target fitting degree of the quantitative processing result evaluation index system comprises two sub-indexes of weight fitting degree and evaluation fitting degree of related indexes; the calculation of the weight attaching degree is based on the weight setting of the related indexes of the original index system, and the evaluation of the attaching degree is based on the statistical opinion mean value and the dispersion of the expert opinions; the calculation formula of the weight fitting degree is as follows:
according to the purpose and requirement of evaluation, if the evaluation object is decomposed into m evaluation elements, the following formula is used for the fitness b of the original index system to the ith evaluation elementiAnd (3) calculating:
bi＝qiEi；
wherein E isiIs the sum of the index weights related to the evaluation element in the original index system, qiThe self-adaptive weight of the fitness of the original index system to the ith evaluation element is shown, and the expression k is the number of indexes related to the ith evaluation element.
9. A computer program product stored on a computer readable medium, comprising a computer readable program for providing a user input interface for applying a data analysis system for quantitative evaluation of search engine optimization results as claimed in any one of claims 1 to 8 when executed on an electronic device.
10. A computer readable storage medium storing instructions which, when executed on a computer, cause the computer to apply the data analysis system for search engine optimization result quantitative evaluation according to any one of claims 1 to 8.
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