CN110825946A - Website evaluation method and device and electronic equipment - Google Patents
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Abstract
The embodiment of the invention provides a website evaluation method, a website evaluation device and electronic equipment, which are used for acquiring index data of a plurality of indexes of a website to be evaluated; determining index scores of all indexes of the website to be evaluated according to the index data of the indexes; respectively carrying out reduction operation on the index scores of the indexes to obtain the index scores of the indexes after reduction; and integrating the index scores after the indexes are reduced to obtain the evaluation result of the website to be evaluated. When the method is used for fusing the subtracted index scores, the influence of the lower index score on the final fused evaluation result is smaller, the dynamic adjustment of the index scores is realized, and the accuracy of website evaluation is improved.
Description
Technical Field
The invention relates to the technical field of internet, in particular to a website evaluation method and device and electronic equipment.
Background
The website evaluation is to give an overall evaluation result of the website by combining attribute information of the website (e.g., website response time, website content quality, website link quantity, link quality, website server stability, etc.), and the website evaluation has an important role in improving the value of the website, for example, when a user needs to invest in or place an advertisement, a suitable website is selected according to the website evaluation result, and a website with a better evaluation result preferentially attracts the attention of the user.
The existing website evaluation is mainly that each evaluation organization evaluates and then discloses the website, and the evaluation indexes of the evaluation method are single, for example, the evaluation indexes are only the number of external links of the website, or only the number of user links and the number of page views. In the existing method for evaluating the website by using multiple indexes, a weighting method is mostly adopted to give certain weight to different indexes, and then a weighting summation mode is adopted to obtain an evaluation result of the website.
Disclosure of Invention
The embodiment of the invention aims to provide a website evaluation method, a website evaluation device and electronic equipment so as to improve the accuracy of website evaluation. The specific technical scheme is as follows:
in a first aspect, an embodiment of the present invention provides a website evaluation method, where the method includes:
acquiring index data of a plurality of indexes of a website to be evaluated;
determining index scores of all indexes of the website to be evaluated according to the index data of the indexes;
respectively carrying out reduction operation on the index scores of the indexes to obtain the index scores of the indexes after reduction;
and fusing the index scores after the indexes are reduced to obtain the evaluation result of the website to be evaluated.
Specifically, the index data of the plurality of indexes includes a plurality of items of public evaluation information data and operation state data;
the acquiring of the index data of the multiple indexes of the website to be evaluated comprises the following steps:
acquiring a plurality of items of public evaluation information data of the website to be evaluated by using a data crawling technology;
and sending a detection data packet to the website server of the website to be evaluated, receiving and analyzing a response data packet returned by the website server, and obtaining the running state data of the website to be evaluated.
Specifically, the receiving and analyzing the response data packet returned by the website server to obtain the running state data of the website to be evaluated includes:
receiving and analyzing response data packets returned by the website server at a plurality of moments in a preset period to obtain discrete running state data of the website to be evaluated at each moment in the preset period;
and calculating the average value of the discrete running state data to be used as the running state data of the website to be evaluated.
Specifically, the determining the index score of each index of the website to be evaluated according to the index data of the plurality of indexes includes:
and normalizing the index data of the indexes to obtain the index scores of the indexes of the website to be evaluated.
Specifically, after the index data of the multiple indexes is normalized to obtain the index score of each index of the website to be evaluated, the method further includes:
and if the index scores of the indexes have negative numbers, performing translation transformation on the index scores of the indexes so as to enable the index scores of the indexes after translation transformation to be greater than or equal to 0.
Specifically, after determining the index score of each index of the website to be evaluated according to the index data of the plurality of indexes, the method further includes:
determining index scores of indexes of a plurality of websites;
extracting index scores of the same index of each website to form a data column;
and comparing any two data columns, and selecting the index score of one data column from any two data columns belonging to the same distribution for retention.
Specifically, after the index data of the multiple indexes is normalized to obtain the index score of each index of the website to be evaluated, the method further includes:
and if the index score of each index increases exponentially, performing linear transformation on the index score of each index to obtain the index score of each index after linear transformation.
Specifically, the reducing operation of the index scores of the indexes to obtain the reduced index scores of the indexes includes:
the index scores of all the indexes are arranged in a descending order;
according to the arrangement sequence, utilizing a punishment mechanism formula to perform reduction operation on the index scores of the indexes to obtain the index scores after the indexes are reduced, wherein the punishment mechanism formula is as follows:
in the formula, DGiIndicating the score, rel, of the i-th indicator after subtractioniAnd indicating the index score of the ith index after descending sorting.
The embodiment of the invention also provides a website evaluation device, which comprises:
the acquisition module is used for acquiring index data of a plurality of indexes of the website to be evaluated;
the determining module is used for determining the index scores of all indexes of the website to be evaluated according to the index data of the indexes;
the reduction module is used for respectively carrying out reduction operation on the index scores of the indexes to obtain the index scores after the indexes are reduced;
and the fusion module is used for fusing the index scores after the indexes are reduced to obtain the evaluation result of the website to be evaluated.
The embodiment of the invention also provides electronic equipment, which comprises a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete mutual communication through the communication bus;
a memory for storing a computer program;
and the processor is used for realizing the method when executing the program stored in the memory.
According to the website evaluation method, the website evaluation device and the electronic equipment, provided by the embodiment of the invention, index data of a plurality of indexes of a website to be evaluated can be obtained; determining index scores of all indexes of the website to be evaluated according to the index data of the indexes; respectively carrying out reduction operation on the index scores of the indexes to obtain the index scores of the indexes after reduction; and integrating the index scores after the indexes are reduced to obtain the evaluation result of the website to be evaluated.
In the embodiment of the invention, the index scores of all indexes of the website to be evaluated are determined according to the index data of the indexes of the website to be evaluated, and the index scores are subtracted and fused to obtain the evaluation result of the website to be evaluated. The index scores of all indexes of the website can be reduced in different degrees due to different contribution degrees, and the lower the index score is, the greater the reduction degree is, so that when the reduced index scores are fused, the lower the influence of the lower index score on the finally fused evaluation result is smaller, the dynamic adjustment of the index scores is realized, and the accuracy of website evaluation is improved. Of course, it is not necessary for any product or method of practicing the invention to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a website evaluation method according to an embodiment of the present invention.
Fig. 2 is an exemplary diagram of a dynamic weight change process according to an embodiment of the present invention.
Fig. 3 is a flowchart of an overall technical solution of a website evaluation method according to an embodiment of the present invention.
Fig. 4 is a schematic diagram of a processing procedure of index data according to an embodiment of the present invention.
Fig. 5 is a schematic structural diagram of a website evaluation apparatus according to an embodiment of the present invention.
Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment 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.
The existing methods for evaluating websites by using multiple indexes mostly adopt subjective weighting methods or combined weighting methods, and the methods focus on weighting operation on certain specific indexes and cannot give consideration to each index. Therefore, how to evaluate websites more accurately becomes an urgent problem to be solved.
In view of the foregoing problems, embodiments of the present invention disclose a website evaluation method, a website evaluation device, and an electronic device, which are described in detail below.
Referring to fig. 1, fig. 1 is a flowchart of a website evaluation method provided by an embodiment of the present invention, and a specific technical solution includes:
s101: index data of a plurality of indexes of the website to be evaluated is obtained.
S102: and determining the index score of each index of the website to be evaluated according to the index data of the plurality of indexes.
S103: and respectively carrying out reduction operation on the index scores of the indexes to obtain the index scores after the indexes are reduced.
S104: and integrating the index scores after the indexes are reduced to obtain the evaluation result of the website to be evaluated.
In the embodiment of the invention, the index scores of all indexes of the website to be evaluated are determined according to the index data of the indexes of the website to be evaluated, and the index scores are subtracted and fused to obtain the evaluation result of the website to be evaluated. The index scores of all indexes of the website can be reduced in different degrees due to different contribution degrees, and the lower the index score is, the greater the reduction degree is, so that when the reduced index scores are fused, the lower the influence of the lower index score on the finally fused evaluation result is smaller, the dynamic adjustment of the index scores is realized, and the accuracy of website evaluation is improved.
Specifically, the index data of the plurality of indexes includes a plurality of items of disclosed evaluation information data and operation state data. Correspondingly, S101 may specifically include:
acquiring a plurality of items of public evaluation information data of a website to be evaluated by using a data crawling technology; and sending a detection data packet to a website server of the website to be evaluated, receiving and analyzing a response data packet returned by the website server, and obtaining the running state data of the website to be evaluated.
The data acquisition means comprises the steps of acquiring in a public database, acquiring in a data transaction platform, acquiring by using a crawling technology and the like, wherein the crawling technology is a process of automatically browsing a website and acquiring data according to a certain rule, and can be driven by loading a browser, simulate human operation to view the website, click a webpage button, view a webpage picture, read a webpage text and store the viewed data.
In the embodiment of the invention, a distributed crawling technology is utilized to actively acquire a plurality of public evaluation information data, and the acquired evaluation information data mainly comprises Alexa ranking (a world ranking related to a website), webpage evaluation values provided by the existing technology companies, weighted values reflecting natural flow of the website, access numbers of independent users, page browsing amount, link numbers and other numerical data. The data acquisition speed can be increased through the distributed crawling technology, the data acquisition accuracy is improved, the data is sorted into structured data for storage, and the data analysis efficiency is improved.
If data are obtained in the crawling process from the first crawling, the crawling result is effective, effective evaluation information data are obtained, and the next step is carried out; if the time is out or the data is not acquired, the crawling result is invalid and the data is invalid; and when the effective crawling result is not obtained in the crawling process, data acquisition is retried, and when the trying times are more than or equal to the preset times and the effective data value is not obtained yet, the invalid crawling result in the time is replaced by the effective crawling result in the last time, so that the effectiveness of data crawling is improved.
And if the valid data is not obtained all the time in the crawling process, adopting a default invalid value as a crawling result. Before data is acquired, characteristics of the index data are analyzed, each index is provided with a specific value which cannot be acquired as an invalid value of the index default, for example, if one index only possibly takes a positive integer, 1 is taken as the invalid value of the index default. In the subsequent method steps, only valid data are processed. If the data is identified as a default invalid value, no processing is performed.
In the embodiment of the present invention, the operation state data of the website to be evaluated is obtained through a detection technology, where the detection technology is to send an ICMP (Internet Control Message Protocol) data Packet to a Server, that is, a ping (Packet Internet group, Internet Packet explorer, used for testing network connectivity), a curve (file transfer tool), a traceroute (a route trace command), a nslookup (Name Server Lookup, used for Domain Name query), and other commands are used to send a request to the Server, obtain a response data Packet returned by the website Server, and analyze the response data Packet, so as to obtain the operation state of the Server. The operation state data mainly includes data such as packet loss rate, time delay, jitter, DNS (Domain Name System) resolution time, and the like of website access.
Specifically, the step of receiving and analyzing the response data packet returned by the website server to obtain the operation state data of the website to be evaluated may include:
receiving and analyzing response data packets returned by the website servers at multiple moments in a preset period to obtain discrete running state data of the website to be evaluated at each moment in the preset period; and calculating the average value of the discrete running state data to be used as the running state data of the website to be evaluated.
The preset period can be set to a specific time according to actual requirements, and can be set to 12 hours, three days, four days, five days, seven days and the like. The embodiment of the invention is exemplified by taking a preset period as seven days, namely, a response data packet returned by a website server within seven days is received each time, the response data packet is analyzed to obtain discrete running state data of the website within seven days, and the average value of seven days is calculated according to the obtained data to be used as the running state data of the website to be evaluated, so that the stability of data detection is improved. If the response data packet of any one of the seven days is analyzed to obtain data, the data is valid, and the final running state data is the valid value. If the response data packet of seven days is analyzed and data is not obtained, the data is considered invalid, a default invalid value is adopted as a detection result of the running state data, and the running state data identified as the invalid value does not participate in the subsequent process.
Specifically, S102 may specifically be: and normalizing the index data of the multiple indexes to obtain the index score of each index of the website to be evaluated.
In the embodiment of the present invention, the obtained index data of the plurality of indexes are unified into dimensions by a normalization algorithm, for example, a z-score (standard deviation normalization) normalization algorithm is adopted to unify the relative standard distance of the expression meaning of all data as the distance average. In the data analysis process, different dimensions and dimension units are often provided due to different properties of each evaluation index. When the numerical levels of the indexes are greatly different, if the analysis is directly performed on the original index values, the indexes with higher numerical values play a prominent role in the comprehensive analysis, and the indexes with lower numerical values are weakened. In order to eliminate the dimensional influence between indexes, normalization analysis and processing are needed to be carried out on the data so as to solve the comparability between the index data and carry out comprehensive evaluation analysis. After the index data of the indexes are subjected to normalization processing, all the indexes are in the same dimension, and index scores of all the indexes of the website to be evaluated are obtained.
In the process of score fusion by reducing the scores, all index scores must be guaranteed to be positive numbers, and the index scores obtained after normalization may be positive or negative.
Therefore, after the step of performing normalization processing on the index data of the multiple indexes to obtain the index score of each index of the website to be evaluated, the method provided by the embodiment of the invention further comprises the following steps:
and if the index scores of the indexes have negative numbers, performing translation transformation on the index scores of the indexes so that the index scores of the indexes after translation transformation are all larger than or equal to 0.
The translation transformation is to take the absolute value of the minimum value in all index scores, add the absolute value to all index scores to realize index score translation, and the translation does not affect other characteristics of data. For example, the index score is obtained by normalization to be 3, 2, 1, -2, -3, the absolute value of the minimum value of the translation amplitude is the absolute value 3 of-3, 3 is added to all index scores to obtain index score values after translation to be 6, 5, 4, 2, 1 and 0, and all scores are guaranteed to be larger than or equal to 0.
The mass data is acquired in the data acquisition stage, the situation of data repetition may exist, and if the data of one index is directly calculated, the situation of multiple times of calculation exists, so that the evaluation result is inaccurate. Therefore, after step S102, the method provided in the embodiment of the present invention further includes:
determining index scores of indexes of a plurality of websites;
extracting index scores of the same index of each website to form a data column;
and comparing any two data columns, and selecting the index score of one data column from any two data columns belonging to the same distribution for retention.
In the embodiment of the invention, after the index scores of all indexes of the website to be evaluated are determined, the method comprises the step of carrying out distribution verification on the index scores. The index scores of the same index of different websites are extracted to form a data column, a plurality of indexes correspond to a plurality of data columns, distribution verification is carried out on all the data columns pairwise, namely, each data column can carry out distribution verification on all the other data columns, the index score of one data column is selected for the data column in the same data distribution condition to be reserved, and the rest data columns do not participate in the subsequent processing process.
When two data columns are in the same distribution, the two indexes corresponding to the two data columns actually measure the same attribute of the website, at the moment, if the two data columns are both calculated, the index score of the attribute is calculated twice, repeated calculation is generated, and the final evaluation result is inaccurate.
If the data repetition and the index score are negative numbers at the same time, in an implementation mode, after the step of performing normalization processing on the index data of a plurality of indexes to obtain the index score of each index of the website to be evaluated, the method provided by the embodiment of the invention comprises the following steps:
determining index scores of indexes of a plurality of websites;
extracting index scores of the same index of each website to form a data column;
comparing any two data columns, selecting the index score of one data column from any two data columns belonging to the same distribution for retention;
and if the index scores of the indexes have negative numbers, performing translation transformation on the index scores of the indexes so that the index scores of the indexes after translation transformation are all larger than or equal to 0.
And the step of distribution checking may be implemented after determining the index score, or after a translation transformation. Therefore, the method is only one implementation manner provided by the embodiment of the invention.
In another implementation manner, if there are situations of data repetition and negative index score, after the step of performing normalization processing on the index data of multiple indexes to obtain the index score of each index of the website to be evaluated, the method provided by the embodiment of the present invention includes:
if the index score of each index has a negative number, performing translation transformation on the index score of each index so as to enable the index score of each index after translation transformation to be more than or equal to 0;
determining index scores of indexes of a plurality of websites;
extracting index scores of the same index of each website to form a data column;
and comparing any two data columns, and selecting the index score of one data column from any two data columns belonging to the same distribution for retention.
After the data is normalized, the index scores may have a skewed distribution, that is, when the concentration of the index scores is biased to one side with a small value or to one side with a large value, the result obtained by fusing all the values is biased to one side with a large value or one side with a small value, resulting in inaccurate evaluation result.
Therefore, after the step of performing normalization processing on the index data of the multiple indexes to obtain the index score of each index of the website to be evaluated, the method provided by the embodiment of the invention further comprises the following steps:
and if the index score of each index of the website to be evaluated increases exponentially, performing linear transformation on the normalized index score to obtain the index score of each index of the website to be evaluated after the linear transformation.
In the embodiment of the invention, after data normalization processing, the distribution condition of the index scores is analyzed, and when the distribution range of the index scores is large and the overall distribution condition is in a skewed distribution, the index scores need to be linearly converted. For example, 10000 values, wherein 90% of the values are concentrated in 0-100, the remaining 10% of the values are concentrated in 100-10000, and relatively speaking, the variation range of the values concentrated in 0-100 is not large, and the variation range of the values concentrated in 100-10000 is very large, and the result obtained by directly calculating is influenced by the 10% of the values. At the moment, the positions of the index fractions are concentrated to be biased to one side with a small numerical value, namely the index fractions increase exponentially, all the numerical values of the index fractions are subjected to logarithm conversion, square root extraction and other processing, so that the speed increasing of the numerical values is gradually slowed down, the numerical values with large change amplitude can be close to the numerical values with small change amplitude, the index fractions are converted into linear distribution, and a large amount of information accumulated near a zero value is expanded. If the overall distribution condition of the index scores is good, linear conversion is not needed.
If the data repetition, the skewed distribution and the index score are negative numbers at the same time, after the step of performing normalization processing on the index data of a plurality of indexes to obtain the index score of each index of the website to be evaluated, the method provided by the embodiment of the invention comprises the following steps:
determining index scores of indexes of a plurality of websites;
extracting index scores of the same index of each website to form a data column;
comparing any two data columns, selecting the index score of one data column from any two data columns belonging to the same distribution for retention;
if the index score of each index of the website to be evaluated is exponentially increased, performing linear transformation on the reserved index score to obtain the index score of each index of the website to be evaluated after the linear transformation;
and if the index scores of the indexes have negative numbers, performing translation transformation on the linearly transformed index scores to enable the index scores of the indexes after translation transformation to be larger than or equal to 0.
In the three steps of translation transformation, linear transformation and distribution verification, the step of translation transformation has no order requirement, and can be before distribution verification, or after distribution verification, before linear transformation, or after linear transformation. Therefore, the method is only one implementation manner provided by the embodiment of the invention.
In another implementation manner, if there are situations where data repetition, skewed distribution, and index scores are negative numbers at the same time, after the step of performing normalization processing on the index data of multiple indexes to obtain the index score of each index of the website to be evaluated, the method provided in the embodiment of the present invention includes:
determining index scores of indexes of a plurality of websites;
extracting index scores of the same index of each website to form a data column;
comparing any two data columns, selecting the index score of one data column from any two data columns belonging to the same distribution for retention;
if the index scores of the indexes have negative numbers, performing translation transformation on the linearly transformed index scores to enable the index scores of the indexes after translation transformation to be larger than or equal to 0;
and if the index score of each index of the website to be evaluated increases exponentially, performing linear transformation on the reserved index score to obtain the index score of each index of the website to be evaluated after the linear transformation.
In another implementation manner, if there are situations where data repetition, skewed distribution, and index scores are negative numbers at the same time, after the step of performing normalization processing on the index data of multiple indexes to obtain the index score of each index of the website to be evaluated, the method provided in the embodiment of the present invention further includes:
if the index scores of the indexes have negative numbers, performing translation transformation on the linearly transformed index scores to enable the index scores of the indexes after translation transformation to be larger than or equal to 0;
determining index scores of indexes of a plurality of websites;
extracting index scores of the same index of each website to form a data column;
comparing any two data columns, selecting the index score of one data column from any two data columns belonging to the same distribution for retention;
and if the index score of each index of the website to be evaluated increases exponentially, performing linear transformation on the reserved index score to obtain the index score of each index of the website to be evaluated after the linear transformation.
In short, after the index scores of the indexes of the website to be evaluated are determined in step S102, any one of the three steps of translation transformation, linear transformation and distribution verification may be performed according to actual conditions.
The step of distribution verification may also be implemented after the index data is acquired, so in another implementation manner, after step S101, distribution verification is performed, that is:
acquiring index data of a plurality of indexes of a website to be evaluated;
determining index data of each index of a plurality of websites;
extracting index data of the same index of each website to form a data column;
comparing any two data columns, selecting index data of one data column from any two data columns belonging to the same distribution for retention.
And then determining the index scores of all indexes of the website to be evaluated according to the reserved index data, and performing linear transformation, translation transformation and other processing on the index scores of all the indexes.
Specifically, the reducing operation is performed on the index score of each index to obtain the index score after each index is reduced, and the method includes:
the index scores of all the indexes are arranged in a descending order;
according to the arrangement sequence, utilizing a punishment mechanism formula to perform reduction operation on the index scores of the indexes to obtain the index scores after the indexes are reduced, wherein the punishment mechanism formula is as follows:
in the formula, DGiIndicating the score, rel, of the i-th indicator after subtractioniAnd indicating the index score of the ith index after descending sorting.
In the embodiment of the invention, the index scores represent qualitative evaluation of each index of the website, the index scores of each index of the website are arranged in a descending order, the index scores are substituted into a punishment mechanism formula according to the sequence of arrangement to obtain the reduced index scores, and finally, all the reduced index scores are summed to obtain a fused total score, namely the evaluation result of the website. The total scores of all websites are sorted, and the performance of different websites can be measured according to the ranking results. The formula for score fusion is:
in the formula, p represents the total index number of the website, DCGpRepresents the total score after fusion.
The punishment mechanism is mainly from the perspective of the user, and the user is supposed to pay more attention to the indexes that the website has done well, but the attention is lacked to the indexes that are not good enough, so that corresponding punishment is performed on the scores of the indexes that are not good enough. In a general multi-index weighting algorithm, a fixed weight is given to each index by an algorithm such as a subjective weighting method, an objective weighting method, or a combined weighting method. For the punishment mechanism, the index scores of all indexes of the website are reduced in different degrees due to different contribution degrees in the calculation process, and the lower the index score is, the greater the reduction degree is, so that when the reduced index scores are fused, the lower the index score has smaller influence on the finally fused evaluation result, the dynamic adjustment of the index scores is realized, and the weight objectively embodied as the dynamic change of the indexes is generated. That is, the importance of the index corresponding to the index score ranked further back is low, and the purpose of the reduction processing is to make the influence of the index having a smaller score on the evaluation result smaller.
As shown in fig. 2, an example of the scheme of the dynamic weight change process is as follows:
for the three websites A, B, C, the evaluation indexes are index X, index Y and index Z, different websites correspond to different index scores under different indexes, and in the evaluation process with the same index weight, the total scores of the three websites are equal, the evaluation results are the same, and the ranks are the same. However, in practice, the index of the website a is 2 points on the index of 90 points, the index of the website B is 2 points on the index of 60 points, the index of the website C is 2 points on the index of 30 points, and the difficulty of increasing the score on the index with high score is greater than that of increasing the score on the index with low score, so the ranking of the three websites should be a > B > C, and the evaluation results obtained by the same weight are not accurate.
In the website evaluation method processing with dynamically changing weight, index scores of each website are sorted firstly to obtain a high-to-low sorting result, 92>60>30 for website A, 90>62>30 for website B and 90>60>32 for website C, then the index scores are substituted into a penalty mechanism formula to obtain the reduced scores, the reduced index scores are added to obtain the total score of all indexes of the website as the website evaluation result, at the moment, the total score of the website A, B, C is different, the evaluation results are different, and the ranking of the website A > B > C is obtained according to the total score sorting. And meanwhile, the proportion of the reduced index fraction in the total score of the website is used as the real-time weight of each index of the website. This can increase the weight of the index that performs well.
Overall, in the embodiment of the invention, the built distributed node equipment acquires and stores website data, the main control equipment performs data processing such as normalization, logarithmic conversion, distribution verification, score fusion and the like, and finally, the evaluation results of all websites are displayed on the terminal. Fig. 3 is a flowchart of an overall technical solution of a website evaluation method according to an embodiment of the present invention.
The distributed nodes are built, the nodes are servers, the building of the nodes is that codes are put on the servers, and the distributed nodes can accelerate the crawling and detecting speed and improve the overall reliability, usability and expansibility of the system. The building process is that a preset program is automatically executed by setting a menu (a command for executing the program at fixed time or fixed interval) at regular time, because a website is searched in a Server through a website domain name, the domain name is obtained from a Domain Name System (DNS) Server and is deduplicated to obtain the domain name of the website, because distributed nodes cannot access to each other, the obtained domain name is loaded to a Remote data service (Remote directory Server) Server, and the obtained domain name is used as a communication medium among the nodes through Redis, so that tasks such as detection and crawling can be accurately loaded on all the nodes, high availability of data is guaranteed, and meanwhile, the data acquisition efficiency is improved. The node server acquires a domain name from the Redis server, then acquires index data of a plurality of indexes of the website to be evaluated from the server of the website to be evaluated according to the domain name, acquires public evaluation information data of the website by using a crawler technology, and acquires the running state of the website (namely the running state of the website server) by using a detection technology.
And meanwhile, a distributed database is set up to store index data of all websites to be evaluated.
The method comprises the steps that public evaluation information data of a website are obtained through a crawler technology, whether the data are valid or not is judged, and if the data are obtained in the crawling process, the data are valid; if the data is not acquired because of a timeout, the data is invalid. When the data is invalid, re-acquiring the data, judging whether the retry frequency is less than five times, and if not, continuously re-trying to acquire the data; and when the number of times of trying is not less than five times, replacing the invalid crawling result in the time with the crawling result in the last time. At the moment, judging whether the last result is empty or invalid, if not, indicating that the last crawling result is valid data; if yes, the index data is set as an index default invalid value, and the result shows that the last crawling result is invalid; all public evaluation information data is stored to a distributed database. Wherein the invalid value of the index by default is preset before the data is acquired.
Acquiring the running state of a website server by using a detection technology, continuously acquiring data for seven days, calculating the average value of the data for seven days as the running state data of the website, judging whether the data is valid, and if any one of the seven days acquires the data, the data is valid; if the data is not acquired in seven days, the data is considered invalid, and a default invalid value is adopted as a detection result of the running state data; all operating state data is stored to a distributed database.
Processing the acquired data, including normalization processing of all data and unification of data dimensions; judging the data distribution condition, if the data is exponentially increased, carrying out logarithmic conversion on the data with a huge change range, expanding data information, and if the data is non-exponentially increased, carrying out next processing; carrying out distribution verification on the data, and evaluating the independence of data distribution; and performing data fusion, namely fusing the index scores of all the indexes by utilizing a punishment mechanism to obtain the score data of the website to be evaluated, and obtaining the evaluation result of the website to be evaluated. And storing the final result in a distributed database, and displaying the final result in the terminal according to the requirement.
Fig. 4 is a schematic diagram illustrating a processing procedure of index data according to an embodiment of the present invention.
The index data of multiple indexes stored in the website of the distributed database are processed, and the multiple indexes are unified in dimension through data normalization to obtain index scores of the multiple indexes.
Checking whether the index score increases exponentially, if so, carrying out logarithmic conversion on the data to enable the data to increase linearly, so that information expansion is facilitated; and if not, performing the next step of processing.
Extracting index scores of the same index of each website to form a data column, checking whether the index data columns belong to the same distribution or not, and if so, reserving one item for the values of a plurality of data columns belonging to the same distribution; and if not, performing the next step of processing.
And then, performing descending order arrangement on all index scores of the website to be evaluated, sequentially substituting into a punishment mechanism formula according to the arrangement order, and performing reduction operation on the index scores of all indexes to obtain the index scores after the indexes are reduced.
And summing all the reduced index scores of the website to be evaluated to obtain a total score obtained by fusing all the scores of the website to be evaluated, and obtaining an evaluation result of the website to be evaluated.
In summary, the embodiment of the present invention provides a website evaluation method, that is, various raw data of a website are obtained by using data crawling and detecting, distributed storage and computing technologies, and the raw data is subjected to normalization, logarithmic conversion, distribution verification, score fusion combined with a penalty mechanism, and the like, so as to obtain a final website evaluation result. The data normalization unifies the dimension, which is beneficial to embodying the fairness of the data; the logarithm conversion realizes the expansion of partial data information, which is beneficial to the representation of the integrity of data; and data distribution checking is carried out, and data items with the same distribution are discarded, so that the independence of data is favorably embodied. And the punishment mechanism is combined to ensure the different weights of different index data of each website, compared with the method for realizing multi-dimensional index fusion by using a general weighting algorithm, the index fusion under the punishment mechanism can realize the dynamic change of the weight of each line of index data, and the method is favorable for embodying the objectivity and rationality of ranking based on the data fusion method. And the scores of the multiple indexes are fused to obtain integrated data emphasizing objectivity and reasonability, so that the influence of each characteristic on the final evaluation result can be effectively reflected. The method has universality, can realize all-around and multi-index evaluation on all websites, and has a fair and objective evaluation result compared with the prior art.
The embodiment of the present invention further provides a website evaluation apparatus, which includes an obtaining module 510, a determining module 520, a reducing module 530, and a fusing module 540, wherein:
the obtaining module 510 is configured to obtain index data of multiple indexes of a website to be evaluated.
The determining module 520 is configured to determine an index score of each index of the website to be evaluated according to the index data of the multiple indexes.
The reduction module 530 is configured to perform reduction operation on the index scores of the indexes respectively to obtain the index scores after the indexes are reduced.
And the fusion module 540 is configured to fuse the index scores after the indexes are reduced to obtain an evaluation result of the website to be evaluated.
Specifically, the index data of the plurality of indexes includes a plurality of items of disclosed evaluation information data and operation state data. Correspondingly, the obtaining module 510 may specifically be configured to:
acquiring a plurality of items of public evaluation information data of a website to be evaluated by using a data crawling technology; and sending a detection data packet to a website server of the website to be evaluated, receiving and analyzing a response data packet returned by the website server, and obtaining the running state data of the website to be evaluated.
Specifically, the step of receiving and analyzing the response data packet returned by the website server to obtain the operation state data of the website to be evaluated may include:
receiving and analyzing response data packets returned by the website servers at multiple moments in a preset period to obtain discrete running state data of the website to be evaluated at each moment in the preset period; and calculating the average value of the discrete running state data to be used as the running state data of the website to be evaluated.
In particular, the determining module 520 may be specifically configured to: and normalizing the index data of the multiple indexes to obtain the index score of each index of the website to be evaluated.
Specifically, after the step of performing normalization processing on the index data of the multiple indexes to obtain the index score of each index of the website to be evaluated, the determining module 520 may be further configured to:
and if the index scores of the indexes have negative numbers, performing translation transformation on the index scores of the indexes so as to enable the index scores of the indexes after translation transformation to be greater than or equal to 0.
Specifically, after the step of determining the index score of each index of the website to be evaluated according to the index data of the plurality of indexes, the determining module 520 may be further configured to:
determining index scores of indexes of a plurality of websites;
extracting index scores of the same index of each website to form a data column;
and comparing any two data columns, and selecting the index score of one data column from any two data columns belonging to the same distribution for retention.
Specifically, after the step of performing normalization processing on the index data of the multiple indexes to obtain the index score of each index of the website to be evaluated, the determining module 520 may be further configured to:
and if the index score of each index of the website to be evaluated increases exponentially, performing linear transformation on the normalized index score to obtain the index score of each index of the website to be evaluated after the linear transformation.
In particular, the abatement module 530 may be specifically configured to:
the index scores of all the indexes are arranged in a descending order;
according to the arrangement sequence, utilizing a punishment mechanism formula to perform reduction operation on the index scores of the indexes to obtain the index scores after the indexes are reduced, wherein the punishment mechanism formula is as follows:
in the formula, DGiIndicating the score, rel, of the i-th indicator after subtractioniAnd indicating the index score of the ith index after descending sorting.
In the embodiment of the invention, the index scores of all indexes of the website to be evaluated are determined according to the index data of the indexes of the website to be evaluated, and the index scores are subtracted and fused to obtain the evaluation result of the website to be evaluated. The index scores of all indexes of the website can be reduced in different degrees due to different contribution degrees, and the lower the index score is, the greater the reduction degree is, so that when the reduced index scores are fused, the lower the influence of the lower index score on the finally fused evaluation result is smaller, the dynamic adjustment of the index scores is realized, and the accuracy of website evaluation is improved.
An embodiment of the present invention further provides an electronic device, as shown in fig. 6, where the electronic device includes a processor 601, a communication interface 602, a memory 603, and a communication bus 604, where the processor 601, the communication interface 602, and the memory 603 complete mutual communication through the communication bus 604;
a memory 603 for storing a computer program;
the processor 601 is configured to, when executing the program stored in the memory, at least implement the following steps:
acquiring index data of a plurality of indexes of a website to be evaluated;
determining index scores of all indexes of the website to be evaluated according to the index data of the indexes;
respectively carrying out reduction operation on the index scores of the indexes to obtain the index scores of the indexes after reduction;
and integrating the index scores after the indexes are reduced to obtain the evaluation result of the website to be evaluated.
The communication bus mentioned in the electronic device may be a PCI (Peripheral component interconnect) bus, an EISA (Extended Industry standard architecture) bus, or the like. The communication bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown, but this does not mean that there is only one bus or one type of bus.
The communication interface is used for communication between the electronic equipment and other equipment.
The Memory may include a RAM (Random Access Memory) or an NVM (Non-Volatile Memory), such as at least one disk Memory. Optionally, the memory may also be at least one memory device located remotely from the processor.
The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field-Programmable Gate Array) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component.
In this embodiment, the processor 601 is caused by machine executable instructions to implement, by reading the machine executable instructions stored in the memory 603: acquiring index data of a plurality of indexes of a website to be evaluated; determining index scores of all indexes of the website to be evaluated according to the index data of the indexes; respectively carrying out reduction operation on the index scores of the indexes to obtain the index scores of the indexes after reduction; and integrating the index scores after the indexes are reduced to obtain the evaluation result of the website to be evaluated. In the embodiment of the invention, the index scores of all indexes of the website are reduced in different degrees due to different contribution degrees, and the lower the index score is, the greater the reduction degree is, so that when the reduced index scores are fused, the lower the index score has smaller influence on the finally fused evaluation result, the dynamic adjustment of the index scores is realized, and the accuracy of website evaluation is improved.
An embodiment of the present invention further provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and when executed by a processor, the computer program at least implements the following steps:
acquiring index data of a plurality of indexes of a website to be evaluated;
determining index scores of all indexes of the website to be evaluated according to the index data of the indexes;
respectively carrying out reduction operation on the index scores of the indexes to obtain the index scores of the indexes after reduction;
and integrating the index scores after the indexes are reduced to obtain the evaluation result of the website to be evaluated.
In this embodiment, the machine-readable storage medium executes the computer program of the method provided in the embodiment of the present invention when running, so that the method can realize: acquiring index data of a plurality of indexes of a website to be evaluated; determining index scores of all indexes of the website to be evaluated according to the index data of the indexes; respectively carrying out reduction operation on the index scores of the indexes to obtain the index scores of the indexes after reduction; and integrating the index scores after the indexes are reduced to obtain the evaluation result of the website to be evaluated. In the embodiment of the invention, the index scores of all indexes of the website to be evaluated are determined according to the index data of the indexes of the website to be evaluated, and the index scores are subtracted and fused to obtain the evaluation result of the website to be evaluated. The index scores of all indexes of the website can be reduced in different degrees due to different contribution degrees, and the lower the index score is, the greater the reduction degree is, so that when the reduced index scores are fused, the lower the influence of the lower index score on the finally fused evaluation result is smaller, the dynamic adjustment of the index scores is realized, and the accuracy of website evaluation is improved.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other identical elements in a process, method, article, or apparatus that comprises the element.
All the embodiments in the present specification are described in a related manner, and the same and similar parts among the embodiments may be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the apparatus, electronic device, and computer-readable storage medium embodiments, since they are substantially similar to the method embodiments, the description is relatively simple, and reference may be made to some descriptions of the method embodiments for relevant points.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.
Claims (10)
1. A method for website evaluation, the method comprising:
acquiring index data of a plurality of indexes of a website to be evaluated;
determining index scores of all indexes of the website to be evaluated according to the index data of the indexes;
respectively carrying out reduction operation on the index scores of the indexes to obtain the index scores of the indexes after reduction;
and fusing the index scores after the indexes are reduced to obtain the evaluation result of the website to be evaluated.
2. The method of claim 1, wherein the index data of the plurality of indices includes a plurality of items of public evaluation information data and operational status data;
the acquiring of the index data of the multiple indexes of the website to be evaluated comprises the following steps:
acquiring a plurality of items of public evaluation information data of the website to be evaluated by using a data crawling technology;
and sending a detection data packet to the website server of the website to be evaluated, receiving and analyzing a response data packet returned by the website server, and obtaining the running state data of the website to be evaluated.
3. The method according to claim 2, wherein the receiving and parsing the response data packet returned by the website server to obtain the operation status data of the website to be evaluated comprises:
receiving and analyzing response data packets returned by the website server at a plurality of moments in a preset period to obtain discrete running state data of the website to be evaluated at each moment in the preset period;
and calculating the average value of the discrete running state data to be used as the running state data of the website to be evaluated.
4. The method according to claim 1, wherein the determining the index score of each index of the website to be evaluated according to the index data of the plurality of indexes comprises:
and normalizing the index data of the indexes to obtain the index scores of the indexes of the website to be evaluated.
5. The method according to claim 4, wherein after the index data of the plurality of indexes is normalized to obtain the index score of each index of the website to be evaluated, the method further comprises:
and if the index scores of the indexes have negative numbers, performing translation transformation on the index scores of the indexes so as to enable the index scores of the indexes after translation transformation to be greater than or equal to 0.
6. The method according to any one of claims 1 to 5, wherein after determining the index score of each index of the website to be evaluated according to the index data of the plurality of indexes, the method further comprises:
determining index scores of indexes of a plurality of websites;
extracting index scores of the same index of each website to form a data column;
and comparing any two data columns, and selecting the index score of one data column from any two data columns belonging to the same distribution for retention.
7. The method according to claim 4 or 5, wherein after the index data of the plurality of indexes is normalized to obtain the index score of each index of the website to be evaluated, the method further comprises:
and if the index score of each index increases exponentially, performing linear transformation on the index score of each index to obtain the index score of each index after linear transformation.
8. The method of claim 1, wherein the separately performing the subtraction operation on the index score of each index to obtain the subtracted index score of each index comprises:
the index scores of all the indexes are arranged in a descending order;
according to the arrangement sequence, utilizing a punishment mechanism formula to perform reduction operation on the index scores of the indexes to obtain the index scores after the indexes are reduced, wherein the punishment mechanism formula is as follows:
in the formula, DGiIndicating the score, rel, of the i-th indicator after subtractioniAnd indicating the index score of the ith index after descending sorting.
9. A website evaluation apparatus, the apparatus comprising:
the acquisition module is used for acquiring index data of a plurality of indexes of the website to be evaluated;
the determining module is used for determining the index scores of all indexes of the website to be evaluated according to the index data of the indexes;
the reduction module is used for respectively carrying out reduction operation on the index scores of the indexes to obtain the index scores after the indexes are reduced;
and the fusion module is used for fusing the index scores after the indexes are reduced to obtain the evaluation result of the website to be evaluated.
10. An electronic device is characterized by comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory are communicated with each other through the communication bus;
a memory for storing a computer program;
a processor for implementing the method of any one of claims 1 to 8 when executing a program stored in a memory.
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