CN112769649A - Grid business processing method and device, electronic equipment and storage medium - Google Patents
Grid business processing method and device, electronic equipment and storage medium Download PDFInfo
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0813—Configuration setting characterised by the conditions triggering a change of settings
- H04L41/082—Configuration setting characterised by the conditions triggering a change of settings the condition being updates or upgrades of network functionality
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/12—Network monitoring probes
Abstract
The invention discloses a grid service processing method, a device, electronic equipment and a storage medium, which relate to the technical field of Internet, wherein the grid service processing method comprises the following steps: acquiring user information; shunting the user information to obtain a shunting result; performing click test on the grid service according to the shunting result to obtain service test data corresponding to the grid service; calculating the service conversion rate according to the service test data; and updating the grid service according to the service conversion rate. The grid service processing method can improve the conversion rate of the grid service and enhance the use experience of grid users.
Description
Technical Field
The present invention relates to the field of internet technologies, and in particular, to a grid service processing method and apparatus, an electronic device, and a storage medium.
Background
A system based on grid management relates to various industries such as safety supervision, environmental protection, comprehensive treatment and the like, and aiming at a marketing optimization mode in grid services, a common mode is to issue two different addresses, and then to see the issuing condition, such as AB test, which is a control variable experimental method, namely, the same group of people are randomly divided into two parts, one part sees a default home page, and the other part sees a personalized home page. And comparing the click data, the deal data and the like of the two parts to obtain a data conclusion and an optimization strategy. However, the AB test cannot distinguish different users, inaccurate user data is collected, and optimization effect is affected.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art. Therefore, the embodiment of the invention provides a grid service processing method, which can improve the grid service achievement conversion rate and enhance the use experience of grid users.
The invention also provides a grid service processing device.
The invention further provides the electronic equipment.
The invention also provides a computer readable storage medium.
The grid service processing method according to the first aspect of the invention comprises the following steps:
acquiring user information;
shunting the user information to obtain a shunting result;
performing click test on the grid service according to the shunting result to obtain service test data corresponding to the grid service;
calculating the service conversion rate according to the service test data;
and updating the grid service according to the service conversion rate.
The grid service processing method according to the embodiment of the first aspect of the present invention has at least the following beneficial effects: the method comprises the steps of obtaining user information, shunting the user information to obtain a shunting result, carrying out click test on the grid service according to the shunting result to obtain service test data corresponding to the grid service, calculating a service conversion rate according to the service test data, and finally updating the grid service according to the service conversion rate, so that the conversion rate of the grid service can be improved, and the use experience of grid users can be enhanced.
According to some embodiments of the invention, the updating the grid service according to the service conversion rate comprises: comparing the size relationship between the service conversion rate and a preset conversion rate; if the service conversion rate is smaller than the preset conversion rate, extracting data to be updated of the grid service from the service test data; updating the data to be updated to obtain the updated grid service; and executing the step of carrying out service test on the grid service according to the shunting result according to the updated grid service.
According to some embodiments of the present invention, after the steps of updating the data to be updated and performing the service test on the grid service according to the split result according to the updated grid service, the method further includes: updating the grid service according to the service conversion rate to obtain the current service version of the grid service; and if the current service version is a target version, outputting the target version.
According to some embodiments of the present invention, after the steps of updating the data to be updated and performing the service test on the grid service according to the split result according to the updated grid service, the method further includes: if the service conversion rate is greater than or equal to the preset conversion rate, acquiring a current service version corresponding to the grid service; and taking the current service version as a target version and outputting the target version.
According to some embodiments of the present invention, the obtaining user information and splitting the user information to obtain a splitting result includes: determining the user type according to the user information; and distributing the user information according to the user type to obtain the distribution result.
According to some embodiments of the present invention, the offloading the user information according to the user type includes: acquiring a preset distribution proportion corresponding to the user type, and extracting an initial distribution proportion from the user information; and if the preset distribution proportion is consistent with the initial distribution proportion, dividing the user information into first distribution areas.
According to some embodiments of the invention, the method further comprises: and if the preset distribution proportion is not matched with the initial distribution proportion, dividing the user information into second distribution partitions.
The grid service processing device according to the second embodiment of the invention comprises:
the acquisition module is used for acquiring user information;
the distribution module is used for distributing the user information to obtain a distribution result;
the test module is used for carrying out click test on the grid service according to the shunting result to obtain service test data corresponding to the grid service;
the calculation module is used for calculating the service conversion rate according to the service test data;
and the updating module is used for updating the grid service according to the service conversion rate.
The grid service processing device according to the embodiment of the second aspect of the present invention has at least the following beneficial effects: by executing the grid service processing method of the embodiment of the first aspect of the invention, the conversion rate of grid service achievement can be improved, and the use experience of grid users can be enhanced.
An electronic device according to an embodiment of the third aspect of the invention includes: at least one processor, and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions that are executed by the at least one processor to cause the at least one processor to implement the grid services processing method of the first aspect when executing the instructions.
According to the electronic device of the embodiment of the third aspect of the invention, at least the following beneficial effects are achieved: by executing the grid service processing method of the embodiment of the first aspect of the invention, the conversion rate of grid service achievement can be improved, and the use experience of grid users can be enhanced.
A computer-readable storage medium according to an embodiment of the fourth aspect of the present invention, the storage medium storing computer-executable instructions for causing a computer to perform the grid services processing method of the first aspect.
The computer-readable storage medium according to the fourth aspect of the present invention has at least the following advantages: by executing the grid service processing method of the embodiment of the first aspect of the invention, the conversion rate of grid service achievement can be improved, and the use experience of grid users can be enhanced.
Additional aspects and advantages of the invention will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the invention.
Drawings
The above and/or additional aspects and advantages of the present invention will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings of which:
fig. 1 is a schematic flow chart of a grid service processing method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a grid service processing device according to an embodiment of the present invention;
fig. 3 is a functional block diagram of an electronic device according to an embodiment of the invention.
Reference numerals:
the device comprises an acquisition module 200, a shunting module 210, a testing module 220, a calculation module 230, an updating module 240, a processor 300, a memory 310, a data transmission module 320, a camera 330 and a display screen 340.
Detailed Description
Reference will now be made in detail to embodiments of the present invention, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the accompanying drawings are illustrative only for the purpose of explaining the present invention, and are not to be construed as limiting the present invention.
In the description of the present invention, unless otherwise explicitly limited, terms such as arrangement, installation, connection and the like should be understood in a broad sense, and those skilled in the art can reasonably determine the specific meanings of the above terms in the present invention in combination with the specific contents of the technical solutions.
A system based on grid management relates to various industries such as safety supervision, environmental protection, comprehensive treatment and the like, and aiming at a marketing optimization mode in grid services, a common mode is to issue two different addresses, and then to see the issuing condition, such as AB test, which is a control variable experimental method, namely, the same group of people are randomly divided into two parts, one part sees a default home page, and the other part sees a personalized home page. And comparing the click data, the deal data and the like of the two parts to obtain a data conclusion and an optimization strategy. However, the AB test cannot distinguish different users, inaccurate user data is collected, and optimization effect is affected.
Based on this, the embodiments of the present invention provide a grid service processing method, an apparatus, an electronic device, and a storage medium, which can improve the conversion rate of grid services and enhance the experience of grid users.
Referring to fig. 1, a grid service processing method according to an embodiment of the first aspect of the present invention includes:
step S100, user information is acquired.
The user information may be information of the collected conditions and characteristics of the user. Optionally, the test address may be issued to the client by a short message, and the user (i.e., the user in the grid) may obtain the user information of the user by clicking the test address and filling in the corresponding information. For example, the name and the mobile phone number of the user are obtained, and then the characteristics of the area, the attribute and the like of the user can be determined according to the mobile phone number of the user, so that the user information is obtained.
Step S110, the user information is shunted to obtain a shunting result.
Optionally, the user may be classified according to the obtained user information, that is, the user information is distributed; and classifying the users to obtain a result, namely a shunting result. Specifically, for example, assuming that it is determined that the user belongs to the area a according to the mobile phone number in the user information, the user may be classified, for example, the user may be split to the scheme a to obtain a splitting result; for another example, if it is determined that the user belongs to the B area according to the mobile phone number in the user information, the user may be classified, for example, the user may be distributed to the B scheme, so as to obtain a distribution result. In some specific embodiments, after the user is shunted, if it is detected that the user clicks a return key, the user does not return to different pages, that is, the user information is shunted directly without shunting prompt, and the user does not have the perception of shunted skip, so that more accurate service test data can be obtained.
Step S120, click test is carried out on the grid service according to the shunting result, and service test data corresponding to the grid service is obtained.
The service test data may be data obtained after a click test is performed on the grid service. Optionally, the click test may be: the user clicks on the test page in the grid service, so that the clicking condition of the user on the button and the link of the test page is obtained, that is, the clicking condition of the user on the test page in the grid service is obtained, and the service test data corresponding to the grid service can be obtained. The test page of the grid task may have multiple versions. For example, assuming that the user is divided into the a scheme, the grid service corresponding to the a scheme may be presented to the user, specifically, a test page in the grid service may be presented to the user, and the user is subjected to a click test through the test page. And then, the click condition of the user in the test page can be obtained, so that the click condition can be analyzed to obtain service test data corresponding to the grid service.
And step S130, calculating the service conversion rate according to the service test data.
Wherein, the service conversion rate can be used to represent the degree of the grid service reaching the analysis index. Optionally, statistical analysis may be performed on the service test data to obtain a service conversion rate corresponding to the grid service. For example, suppose that the service test data is a click condition of a test page in the grid service corresponding to the a scheme, the click condition may include: the number of times the button alpha in the test page is clicked, the number of times the button beta in the test page is clicked, the frequency with which all links in the test page are clicked, how much click data is collected from the test page, and the like. Therefore, the service test data can be subjected to statistical analysis, whether the grid service corresponding to the scheme A reaches the degree of the analysis index is judged, and the service conversion rate of the grid service is obtained.
Step S140, updating the grid service according to the service conversion rate.
Optionally, a threshold corresponding to the service conversion rate may be set, and if the service conversion rate is smaller than the threshold, it may be determined that the current grid task does not reach the analysis index, so that a direction in which optimization needs to be performed in the grid task may be analyzed, and finally, the version of the grid service may be updated according to the optimization direction until the optimal version is reached; if the service conversion rate is greater than the threshold value, the grid task can be judged to reach the analysis index, and therefore the version corresponding to the grid service can be used as the version with the best performance to be online.
According to the grid service processing method, the user information is obtained and is shunted to obtain the shunting result, the grid service is subjected to click test according to the shunting result to obtain the service test data corresponding to the grid service, the service conversion rate is calculated according to the service test data, and finally the grid service is updated according to the service conversion rate, so that the conversion rate of the grid service can be improved, and the use experience of grid users can be enhanced.
In some embodiments of the present invention, updating the grid services according to the service conversion rate includes:
and comparing the size relationship between the business conversion rate and the preset conversion rate. The preset conversion rate may be a preset critical value corresponding to the service conversion rate. Optionally, the magnitude relationship between the service conversion rate and the preset conversion rate may be compared to obtain: the service conversion rate is smaller than the size relation of the preset conversion rate, the service conversion rate is equal to the size relation of the preset conversion rate, and the service conversion rate is larger than the size relation of the preset conversion rate.
And if the service conversion rate is less than the preset conversion rate, extracting the data to be updated of the grid service from the service test data. The data to be updated may be data that needs to be updated and adjusted in the grid service, for example, data such as a page layout of a test page in the grid service, a position or a size of a certain button, and a link display condition. Optionally, if the service conversion rate is smaller than the preset conversion rate, it may be determined that the grid service does not reach the analysis index, and therefore, the version of the grid service needs to be updated and adjusted. Specifically, the current service test data of the grid service can be analyzed to determine the data to be updated in the grid service, so that the key of the problem can be found quickly, and if the conditions that the page layout of the test page is disordered, the button alpha is too small, the link display is not clear, the picture is too large, the pricing is not clear and the like are assumed, the data to be updated can be obtained as the page layout disorder, the button alpha is too small, and the link display is not clear of the test page.
And updating the data to be updated to obtain the updated grid service. Optionally, the data to be updated may be updated in a targeted manner, so that the updated grid service may be obtained. For example, assuming that the data to be updated is the page layout of the test page in the grid service is disordered, the button α is too small, and the link is not displayed clearly, the page layout of the test page may be adjusted, the button α is increased, the link is re-embedded, and other update operations are performed to obtain an updated test page, that is, the updated grid service is obtained.
And executing the step of carrying out service test on the grid service according to the shunting result according to the updated grid service.
Optionally, after the updated grid service is obtained, the click test may be performed again according to the updated grid service, that is, the step of performing the service test on the grid service according to the shunting result is performed, so as to obtain new test data and the service conversion rate thereof, and then the grid service may be updated according to the new conversion rate until the conversion rate of the grid service is equal to or greater than the preset conversion rate, that is, the analysis index is reached. By comparing the size relationship between the service conversion rate and the preset conversion rate, if the service conversion rate is smaller than the preset conversion rate, the grid service can be determined not to reach the analysis index, so that the data to be updated of the grid service can be extracted from the service test data, then the data to be updated is updated to obtain the updated grid service, and finally the step of performing service test on the grid service according to the shunting result is executed according to the updated grid service.
In some embodiments of the present invention, after the step of updating the data to be updated and performing the service test on the grid service according to the split result according to the updated grid service, the method further includes:
and updating the grid service according to the service conversion rate to obtain the current service version of the grid service. The current service version may be a test version corresponding to the updated grid service. Optionally, after the grid service is updated according to the service conversion rate, the updated grid service is obtained, and then the test version corresponding to the updated grid service can be extracted, that is, the current service version is obtained.
And if the current service version is the target version, outputting the target version. Wherein the target version may be the best test version obtained by the updating. Optionally, the version corresponding to the grid service that is not updated may be used as the original version, and then the original version may be used as the comparison group, and the current service version may be compared with the original version to determine the updated performance of the current service version, and determine whether there is a significant difference between the current service version and the original version. If the current service version has reached the optimal test result compared with the original version, for example, the service conversion rate corresponding to the current service version is greater than the preset conversion rate, the current service version can be determined to be the optimal test version, and therefore the current service version can be output as the target version; if the current service version does not reach the optimal test result compared with the original version, for example, the service conversion rate corresponding to the current service version is smaller than the preset conversion rate, the step of updating the grid service according to the service conversion rate is executed again until the current service version obtained by updating is the target version, and the target version is output. By acquiring the current service version of the updated grid service, judging whether the current service version is the target version or not, if the current service version is the target version, outputting the target version, otherwise, continuously iterating to obtain the target version, thereby accurately acquiring the updated result, realizing closed-loop iteration of grid service optimization and continuously improving user experience.
In some embodiments of the present invention, after the step of updating the data to be updated and performing the service test on the grid service according to the split result according to the updated grid service, the method further includes:
and if the service conversion rate is greater than or equal to the preset conversion rate, acquiring the current service version corresponding to the grid service. Optionally, if the service conversion rate is greater than or equal to the preset conversion rate, it may be determined that the grid service has reached the analysis index, and therefore, the current service version corresponding to the grid service may be directly obtained.
And taking the current business version as a target version and outputting the target version. Optionally, because the conversion rate of the grid service is greater than or equal to the preset conversion rate, it may be determined that the current service version corresponding to the grid service is the optimal test version, and therefore, the current service version may be used as the target version, and the target version may be output. If the service conversion rate is greater than or equal to the preset conversion rate, the grid service can be determined to reach the analysis index, so that the current service version corresponding to the grid service can be output as the target version, and the best version can be obtained for full online.
In some embodiments of the present invention, obtaining user information, and splitting the user information to obtain a splitting result includes:
and determining the user type according to the user information. The user type may be a preset category to which the user belongs. Optionally, the user information may include attribute information such as a name and a mobile phone number, so that analysis may be performed according to the user information to determine a category to which the user belongs. For example, if the user is determined to belong to the area a according to the mobile phone number in the user information, the user can be classified as the type a; and if the user is determined to belong to the B area according to the mobile phone number in the user information, the user can be classified as the type B.
And shunting the user information according to the user type to obtain a shunting result. Optionally, assuming that a certain user is classified as a type a, user information corresponding to the user may be distributed to the scheme a to obtain a distribution result; and if a certain user is classified as the type B, the user information corresponding to the user can be distributed to the scheme B to obtain a distribution result. The user type is determined through the user information, then the user information is shunted according to the user type, user classification is carried out on the previous data of different users through the big data, and the use experience of the users is improved.
In some embodiments of the present invention, splitting the user information according to the user type includes:
and acquiring a preset distribution proportion corresponding to the user type, and extracting an initial distribution proportion from the user information. The preset distribution proportion can be a preset proportion for distributing user information, and the preset classification proportion can be set according to a preset user type; the initial splitting ratio may be an actual ratio for splitting in the user information. Optionally, the preset shunt ratios corresponding to different user types are different, and if the user type is the type a, the preset shunt ratio corresponding to the type a may be obtained as p1(ii) a Then, an initial distribution proportion corresponding to the user information can be extracted, and the initial distribution proportion is assumed to be p0From this, a preset split ratio p can be obtained1And initial split ratio p0。
And if the preset distribution proportion is consistent with the initial distribution proportion, dividing the user information into the first distribution areas. The first distribution interval may be a designated address corresponding to distribution of user information according to a user type. Optionally, the preset shunt ratio is assumed to be a preset shunt ratio p corresponding to the type a1Initial split ratio of p0If p is0＝p1If it is determined that the preset distribution ratio is consistent with the initial distribution ratio, the user information may be distributed to the scheme a section corresponding to the type a, that is, the user information is divided into the first distribution section. In some specific embodiments, when shunting to scheme a, the ab experiment platform ID and the grid service version ID are taken as parameters, and take effect on event statistics; if the state is in a stop state, the parameters are not statistically effective. And dividing the user information into the first distribution intervals by judging whether the preset distribution proportion is consistent with the initial distribution proportion or not, so that the user information can be uniformly distributed into the corresponding scheme intervals according to the preset distribution proportion.
In some embodiments of the present invention, the method for splitting user information according to user type further includes:
and if the preset distribution proportion is not matched with the initial distribution proportion, dividing the user information into second distribution partitions. Wherein, the second division interval can be other scheme intervals besides the first division interval. Optionally, the preset shunt ratio is assumed to be a preset shunt ratio p corresponding to the type a1Initial split ratio of p0If p is0≠p1If it is determined that the preset distribution ratio is not consistent with the initial distribution ratio, the user information may be distributed to a B scheme section corresponding to the type B, or the user information may be distributed to other scheme sections corresponding to other types as required, that is, the user information is divided into second distribution sections. And when the preset distribution proportion is not matched with the initial distribution proportion, dividing the user information into second distribution intervals, so that the user information can be uniformly distributed into corresponding scheme intervals according to the preset distribution proportion.
Referring to fig. 2, a grid traffic processing apparatus according to a second embodiment of the present invention comprises:
an obtaining module 200, configured to obtain user information;
the distribution module 210 is configured to distribute user information to obtain a distribution result;
the test module 220 is configured to perform a click test on the grid service according to the shunting result to obtain service test data corresponding to the grid service;
a calculating module 230, configured to calculate a service conversion rate according to the service test data;
and the updating module 240 is configured to update the grid service according to the service conversion rate.
By implementing the grid service processing method of the first aspect of the present invention, the grid service processing device can improve the conversion rate of grid services and enhance the experience of grid users.
Referring to fig. 3, an embodiment of the third aspect of the present invention further provides a functional module diagram of an electronic device, including: at least one processor 300, and a memory 310 communicatively coupled to the at least one processor 300; the system also comprises a data transmission module 320, a camera 330 and a display screen 340.
Wherein the processor 300 is adapted to perform the grid services processing method in the first embodiment by invoking a computer program stored in the memory 310.
The memory, as a non-transitory storage medium, may be used to store non-transitory software programs and non-transitory computer-executable programs, such as the grid services processing method in the embodiment of the first aspect of the present invention. The processor implements the grid services processing method in the above-described first embodiment by running a non-transitory software program and instructions stored in the memory.
The memory may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data for performing the grid services processing method in the embodiment of the first aspect. Further, the memory may include high speed random access memory, and may also include non-transitory memory, such as at least one disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory optionally includes memory located remotely from the processor, and these remote memories may be connected to the terminal over a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
Non-transitory software programs and instructions needed to implement the grid traffic processing method in the above-described first aspect embodiment are stored in a memory, and when executed by one or more processors, perform the grid traffic processing method in the above-described first aspect embodiment.
Embodiments of the fourth aspect of the present invention also provide a computer-readable storage medium storing computer-executable instructions for: the grid traffic handling method in the first aspect embodiment is performed.
In some embodiments, the storage medium stores computer-executable instructions, which are executed by one or more control processors, for example, by one of the processors in the electronic device of the third aspect, and may cause the one or more processors to execute the grid service processing method in the first aspect.
The embodiments of the present invention have been described in detail with reference to the accompanying drawings, but the present invention is not limited to the above embodiments, and various changes can be made within the knowledge of those skilled in the art without departing from the gist of the present invention.
The above-described embodiments of the apparatus are merely illustrative, wherein the units illustrated as separate components may or may not be physically separate, i.e. may be located in one place, or may also be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the present embodiment.
One of ordinary skill in the art will appreciate that all or some of the steps, systems, and methods disclosed above may be implemented as software, firmware, hardware, and suitable combinations thereof. Some or all of the physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application specific integrated circuit. Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). The term computer storage media includes volatile and nonvolatile, removable and non-removable media implemented in any method or technology for storage of information such as computer readable instructions, data structures, program modules or other data, as is well known to those of ordinary skill in the art. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, Digital Versatile Disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tape, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to store the desired information and which can accessed by a computer. In addition, communication media typically embodies computer readable instructions, data structures, program modules or other data in a modulated data signal such as a carrier wave or other transport mechanism and includes any information delivery media as known to those skilled in the art.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an illustrative embodiment," "an example," "a specific example," or "some examples" or the like mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
Claims (10)
1. The grid service processing method is characterized by comprising the following steps:
acquiring user information;
shunting the user information to obtain a shunting result;
performing click test on the grid service according to the shunting result to obtain service test data corresponding to the grid service;
calculating the service conversion rate according to the service test data;
and updating the grid service according to the service conversion rate.
2. The method of claim 1, wherein the updating the grid service according to the service conversion rate comprises:
comparing the size relationship between the service conversion rate and a preset conversion rate;
if the service conversion rate is smaller than the preset conversion rate, extracting data to be updated of the grid service from the service test data;
updating the data to be updated to obtain the updated grid service;
and executing the step of carrying out service test on the grid service according to the shunting result according to the updated grid service.
3. The method according to claim 2, after the steps of updating the data to be updated and performing the service test on the grid service according to the split result according to the updated grid service, further comprising:
updating the grid service according to the service conversion rate to obtain the current service version of the grid service;
and if the current service version is a target version, outputting the target version.
4. The method according to claim 2, after the steps of updating the data to be updated and performing the service test on the grid service according to the split result according to the updated grid service, further comprising:
if the service conversion rate is greater than or equal to the preset conversion rate, acquiring a current service version corresponding to the grid service;
and taking the current service version as a target version and outputting the target version.
5. The method of claim 1, wherein the obtaining user information and splitting the user information to obtain a split result comprises:
determining the user type according to the user information;
and distributing the user information according to the user type to obtain the distribution result.
6. The method of claim 5, wherein the offloading the user information according to the user type comprises:
acquiring a preset distribution proportion corresponding to the user type, and extracting an initial distribution proportion from the user information;
and if the preset distribution proportion is consistent with the initial distribution proportion, dividing the user information into first distribution areas.
7. The method of claim 6, further comprising:
and if the preset distribution proportion is not matched with the initial distribution proportion, dividing the user information into second distribution partitions.
8. A grid traffic processing apparatus, comprising:
the acquisition module is used for acquiring user information;
the distribution module is used for distributing the user information to obtain a distribution result;
the test module is used for carrying out click test on the grid service according to the shunting result to obtain service test data corresponding to the grid service;
the calculation module is used for calculating the service conversion rate according to the service test data;
and the updating module is used for updating the grid service according to the service conversion rate.
9. An electronic device, comprising:
at least one processor, and,
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions for execution by the at least one processor to cause the at least one processor, when executing the instructions, to implement the grid traffic processing method of any of claims 1 to 7.
10. A computer-readable storage medium, characterized in that the storage medium stores computer-executable instructions for causing a computer to perform the grid services processing method of any of claims 1 to 7.
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| CN110209579A (en) * | 2019-05-28 | 2019-09-06 | Oppo广东移动通信有限公司 | Test method and electronic device |
| CN111555940A (en) * | 2020-04-28 | 2020-08-18 | 北京字节跳动网络技术有限公司 | Client test method and device, electronic equipment and computer readable storage medium |
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| US20120317068A1 (en) * | 2011-06-09 | 2012-12-13 | Thomas Walter Ruf | Method For Generating Rules and Parameters for Assessing Relevance of Information Derived From Internet Traffic |
| CN110209579A (en) * | 2019-05-28 | 2019-09-06 | Oppo广东移动通信有限公司 | Test method and electronic device |
| CN111555940A (en) * | 2020-04-28 | 2020-08-18 | 北京字节跳动网络技术有限公司 | Client test method and device, electronic equipment and computer readable storage medium |
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