CN111612533A - Method, device, equipment and medium for adjusting online strategy - Google Patents
Method, device, equipment and medium for adjusting online strategy Download PDFInfo
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Abstract
The embodiment of the application discloses a method, a device, equipment and a medium for adjusting an online policy, and relates to the technical field of big data and information flow. The method comprises the following steps: displaying selectable configuration items of the online strategy based on the online strategy template; acquiring a calculation mode and a mode parameter of the online strategy input based on the selectable configuration item; determining a measuring and calculating task according to the calculating mode and the mode parameters of the on-line strategy and a target measuring and calculating object; and according to the measuring and calculating task, measuring and calculating the off-line platform data of the target measuring and calculating object so as to obtain a measuring and calculating result of the on-line strategy. The embodiment of the application aims at the online strategy, allows the online strategy to be automatically configured in a mode of selecting configuration items, can generate a measuring and calculating task to quickly obtain a measuring and calculating result, optimizes the adjustment mode of the online strategy of the information interaction platform, and accelerates the landing response speed.
Description
Technical Field
The embodiment of the application relates to computer technology, in particular to big data and information flow technology.
Background
With the development and popularization of internet technology, a lot of application software exists, which can provide an interactive platform for users to realize publishing, sharing, browsing and forwarding of information. For these information interaction platforms, the interaction heat of the information is an important index for evaluating the platform performance, and needs to be stimulated and maintained by various means, and accordingly, various online policies need to be implemented on the platform, for example, a reward policy for a publisher, a reward policy for reading and forwarding behaviors, a punishment policy for malicious low-quality content distribution, and the like.
The implementation of the online policy may affect the interactive heat of the information interactive platform, but due to the change of the external environment and the platform state, the online policy is not applicable continuously, and needs to be adjusted and corrected continuously.
The existing online strategy has various contents, influences the factor terminal and has a complex adjusting process, so that online strategy updating can not be performed timely and accurately. The landing response speed of the on-line strategy is slow, and the influence on the information interaction platform is also caused.
Disclosure of Invention
The embodiment of the application provides a method, a device, equipment and a medium for adjusting an online strategy.
According to a first aspect, there is provided a method for adjusting an online policy, the method comprising:
displaying selectable configuration items of the online strategy based on the online strategy template;
acquiring a calculation mode and a mode parameter of the online strategy input based on the selectable configuration item;
determining a measuring and calculating task according to the calculating mode and the mode parameters of the on-line strategy and a target measuring and calculating object;
and according to the measuring and calculating task, measuring and calculating the off-line platform data of the target measuring and calculating object so as to obtain a measuring and calculating result of the on-line strategy.
According to a second aspect, there is provided an apparatus for adjusting an online policy, the apparatus comprising:
the configuration item display module is used for displaying selectable configuration items of the online strategy based on the online strategy template;
the mode and parameter acquisition module is used for acquiring the calculation mode and mode parameters of the online strategy input based on the selectable configuration items;
the measuring and calculating task determining module is used for determining a measuring and calculating task according to the calculating mode and mode parameters of the on-line strategy and a target measuring and calculating object;
and the measurement and calculation result acquisition module is used for measuring and calculating the off-line platform data of the target measurement and calculation object according to the measurement and calculation task so as to acquire the measurement and calculation result of the on-line strategy.
According to a third aspect, there is provided 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 executable by the at least one processor to enable the at least one processor to perform a method of adjusting an online policy as described in any of the embodiments of the present application.
According to a fourth aspect, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform a method of adjusting an online policy as described in any one of the embodiments of the present application.
According to the technology of the application, the adjustment mode of the online strategy of the information interaction platform is optimized, and the landing response speed is accelerated.
It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present disclosure, nor do they limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
The drawings are included to provide a better understanding of the present solution and are not intended to limit the present application. Wherein:
fig. 1 is a schematic flowchart of an adjustment method of an online policy according to an embodiment of the present application;
FIG. 2 is a schematic diagram of an author segmentation strategy template provided in accordance with an embodiment of the present application;
fig. 3 is a schematic flowchart of an adjustment method of an online policy according to an embodiment of the present application;
fig. 4 is a flowchart illustrating an adjusting method of an online policy according to an embodiment of the present application;
FIG. 5 is a schematic diagram of a display interface for online policy history calculation task according to an embodiment of the present disclosure;
FIG. 6 is a schematic structural diagram of an online policy adjustment apparatus according to an embodiment of the present application;
FIG. 7 is a schematic structural diagram of an online policy adjustment apparatus according to an embodiment of the present application;
fig. 8 is a block diagram of an electronic device for implementing an adjustment method of an online policy according to an embodiment of the present application.
Detailed Description
The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a schematic flow chart of an online policy adjustment method according to an embodiment of the present application, where the embodiment may be applied to a case where an online policy on an internet application platform is adjusted to obtain a measurement result of the online policy, and typically, the embodiment may be applied to a case where the online policy is configured by an optional configuration item. The method of the embodiment may be performed by an online policy adjusting apparatus, which may be implemented in software and/or hardware, and may be integrated in an electronic device. Referring to fig. 1, the method for adjusting the online policy provided in this embodiment may include:
s101, displaying selectable configuration items of the online strategy based on the online strategy template.
The online policy is a policy applied to an online environment, and is typically an online policy used by an application service in a process of providing a certain application service for a client of a user based on an online platform provided by an internet technology, where the online policy affects an operation process of the application service. Such as a commodity promotion strategy applied to an online e-commerce platform, an author differentiation strategy applied to an information interaction platform, and the like. The information interaction platform is a platform for providing information and obtaining information feedback, for example, a content platform for providing article information published in the platform by a platform author and obtaining feedback of readers on article comments, appreciation and the like; the author divides the moist strategy to be the strategy of deciding the final proportion of partial moist or the range of partial moist and divide the moist result equally.
The online strategy template comprises preset configuration items related to the specific strategy content. And displaying the optional configuration items included in the template by acquiring the online strategy template. Different online policy templates can be determined for different online platforms, application services, and different policy requirements, and one or more online policy modules can be used.
S102, obtaining a calculation mode and a mode parameter of the online strategy input based on the optional configuration item.
And acquiring the calculation mode and mode parameters of the online strategy by selecting the selectable configuration items or inputting specific numerical values. The online policy generally determines the execution result of the online policy by collecting one or more factor parameters in the application service operation process, and reflecting the relationship between the factor parameters based on a formula according to the condition of the factor parameters. The execution result is usually reflected on some parameter in the running process of the application service. Taking the author policy as an example, after the rating proportion is adjusted, the profit value directly reflected by the author changes, and the profit value can be used as the execution result of the online policy.
The calculation mode of the online policy is used to determine mode parameters involved in calculating the online policy result and a logical relationship of the mode parameters when calculating the online policy result, and the mode parameters of the online policy are parameters required in implementing the online policy, and may be weight values of the mode parameters when calculating the online policy result, or range thresholds used to set the mode parameters, the range thresholds of the online policy result, and the like. For example, when the online policy is a product promotion policy of the online merchant platform, the calculation manner of the online policy may be to calculate a result such as a user reward value after the product promotion policy is implemented according to the user preference, the purchasing ability of the user, and other manner parameters and the weight corresponding to each manner parameter.
Optionally, based on the online policy template, displaying the selectable configuration items of the online policy includes:
displaying all selectable factors, logical relation controls and mode parameter input boxes of the online strategy based on an online strategy template;
correspondingly, the obtaining of the calculation mode and the mode parameter of the online policy input based on the optional configuration item comprises:
and determining at least one factor according to the selection of the user on all the selectable factors, determining the logical relationship among the selected factors and the input mode parameters according to the operation of the user on the logical relationship control, and determining the calculation mode of the online strategy.
Wherein, the selectable factor is the selectable composition condition of the on-line strategy; the logical relation control is used for adjusting the logical relation between the selectable factors, such as summation, multiplication, or calculation and the like; the mode parameter input box is used for inputting specific numerical values of the mode parameters.
And selecting and determining at least one factor from all selectable factors by a user, operating the logical relationship control, determining the logical relationship among the selected factors, inputting the required mode parameters into the mode parameter input box, and finally determining the calculation mode of the online strategy. By configuring the optional factors, the logic relation and the mode parameters, the communication cost is reduced, and the efficiency of updating the online strategy is improved.
Optionally, when the online policy is an author moisturizing policy of the information interaction platform, the optional configuration item includes at least one factor for calculating an author moisturizing result, a factor logical relationship in a calculation manner, and a manner parameter in the calculation manner, where the manner parameter includes a factor parameter and a factor weight.
Wherein, the factor parameter is a specific numerical value corresponding to the factor during calculation, for example, the factor parameter corresponding to the factor one is 2, the factor parameter corresponding to the factor two is 3, etc.; the factor weight is a weight value corresponding to a specific factor in calculation, for example, a weight corresponding to a factor one is 2, a weight corresponding to a factor is 1, and the like.
S103, determining a measuring and calculating task according to the calculating mode and the mode parameters of the on-line strategy and the target measuring and calculating object.
The target measurement and calculation object is an object applied by an online strategy. For example, the method is applied to a commodity popularization strategy of an online e-commerce platform, the measurement and calculation object can be a registered user of the e-commerce platform, can also be a visitor of the e-commerce platform, and the like, and can correspond to different calculation modes and mode parameters aiming at different target measurement and calculation objects. The measuring and calculating task is composed of a calculating mode, a mode parameter and a target measuring and calculating object, and the specific content of the measuring and calculating task for the target measuring and calculating object is determined.
Optionally, when the online policy is an author differentiation policy of the information interaction platform, the target measurement and calculation object is an author and/or an information work.
When the target measurement and calculation object is an author, the selectable factors of the online strategy can be the text sending amount, the history active time, the number of fans, the author type, the author platform level, whether an author is original or not, whether identity authentication is performed or not and the like of the author in unit time, and the mode parameters are factor parameters and factor weights corresponding to the selectable factors respectively; for example, the factor parameters corresponding to the amount of text sent in a unit time may be 10-20 text sent in a month, 1 for the factor parameters, 20-40 text sent in a month, 2 for the factor parameters, and so on.
When the target measurement and calculation object is an information work, the selectable factors of the online strategy can be word number, work quality, browsing amount, forwarding amount, user score, work classification, work platform grade and the like of the information work, and the mode parameters are factor parameters and factor weights corresponding to the selectable factors respectively; for example, the factor parameters corresponding to the number of words of the information work may be one to twenty thousand words of a work, the factor parameters corresponding to 1, the number of words corresponding to twenty thousand to forty thousand words, the factor parameters corresponding to 2, and so on.
When the target measurement and calculation object is an author and an information work, a plurality of author differentiation strategies can be obtained by combining factors of the author and the information work, and the combination of each factor corresponds to the factor parameters and the factor weight of the combined factor. For example, when the optional factors corresponding to the author only consider the original author and the non-original author, and the optional factors corresponding to the information work only consider the quality of the work, the factor parameters may include: the parameters of the high-quality works issued by the original authors, the parameters of the high-quality works issued by the non-original authors, the parameters of the non-high-quality works issued by the original authors and the parameters of the non-high-quality works issued by the non-original authors.
At least one factor of the calculated author partial wetting result corresponding to the target measuring and calculating object is selected and combined, so that the calculation mode of the partial wetting result is optimized, and the optimal adjustment result of the on-line strategy is obtained.
And S104, measuring and calculating the off-line platform data of the target measuring and calculating object according to the measuring and calculating task so as to obtain a measuring and calculating result of the on-line strategy.
The off-line platform data is off-line data of a target measurement and calculation object in a platform, such as real historical data, and the measurement and calculation result is a result obtained by executing an on-line strategy. For example, when the online policy is an author-based rating policy of the information interaction platform, the measurement result may be a rating range or a rating ratio of the target measurement object, which is not limited in this embodiment.
Optionally, a plurality of measurement and calculation tasks are determined, and the off-line platform data of the target measurement and calculation object corresponding to the measurement and calculation tasks are measured and calculated simultaneously according to the measurement and calculation tasks, so that measurement and calculation results of a plurality of on-line strategies are obtained, and the measurement and calculation efficiency is improved.
Fig. 2 is a schematic diagram of an author differentiation strategy template provided according to an embodiment of the present application.
As shown in fig. 2, the optional configuration items of the author moisturizing strategy include a moisturizing method and a mode parameter, and the moisturizing method can be added and deleted in the template and the mode parameter can be adjusted, so that a measurement task is generated for measurement when the moisturizing strategy is determined. Through the adjustment visualization of the on-line strategy, the adjustment difficulty is reduced, the adjustment efficiency of the on-line strategy is improved, and the landing response speed is accelerated.
According to the technical scheme of the embodiment of the application, the selectable configuration items of the online strategy are displayed through the online strategy template; acquiring a calculation mode and mode parameters of the online strategy input based on the selectable configuration items; determining a measuring and calculating task according to a calculating mode and mode parameters of the on-line strategy and a target measuring and calculating object; and according to the measuring and calculating task, measuring and calculating the off-line platform data of the target measuring and calculating object so as to obtain the measuring and calculating result of the on-line strategy. The adjustment mode of the online strategy of the information interaction platform is optimized, and the landing response speed is accelerated.
Fig. 3 is a schematic flow chart of an adjusting method of an online policy according to an embodiment of the present application, which, based on the above embodiment, in order to further optimize an adjusting method of an online policy of an information interaction platform, after obtaining a measurement result of the online policy, further includes: and displaying the measuring and calculating result of the on-line strategy so that a user can update or confirm the on-line strategy according to the measuring and calculating result. Referring to fig. 3, the method may specifically include:
s301, displaying selectable configuration items of the online strategy based on the online strategy template.
S302, obtaining a calculation mode and a mode parameter of the online strategy input based on the optional configuration item.
S303, determining a measuring and calculating task according to the calculating mode and the mode parameters of the on-line strategy and the target measuring and calculating object.
S304, according to the measuring and calculating task, measuring and calculating the off-line platform data of the target measuring and calculating object to obtain a measuring and calculating result of the on-line strategy.
S305, displaying the measuring and calculating result of the online strategy so that a user can update or confirm the online strategy according to the measuring and calculating result.
The displaying of the measurement and calculation results of the on-line policy may be direct displaying, or may be displaying after combining the generated measurement and calculation results, for example, multiple information works are measured and calculated to obtain the moisturizing results, and the moisturizing results of corresponding authors are combined based on the same author, which is not limited in this embodiment. The user can judge according to the measuring and calculating result, if the effect achieved by the strategy on the execution line is not met, the strategy on the line is adjusted, and if the effect achieved by the strategy on the execution line is met, the strategy on the line is confirmed.
Optionally, the displaying the measurement and calculation result of the online policy further includes:
acquiring off-line platform data of the target measurement and calculation object, and based on an actual execution result of an existing on-line strategy;
and displaying the actual execution result as the comparison content of the measuring and calculating result.
The actual execution result of the existing online policy is a result obtained through the executed online policy, for example, a differentiation result obtained through an author differentiation policy executed in the information interaction platform. The method comprises the steps of executing an existing online strategy by adopting offline platform data of a target measuring and calculating object, obtaining an actual execution result, comparing the actual execution result with a measuring and calculating result obtained according to the same data, displaying comparison content, more visually displaying the difference between the measured and calculating online strategy and the existing online strategy, obtaining the adjustment effect of the online strategy, and optimizing the adjustment mode of the online strategy.
In this embodiment, optionally, before determining the measurement task according to the calculation mode and the mode parameter of the online policy and the target measurement and calculation object, the method further includes:
acquiring a target measuring and calculating object determined by input; or
And acquiring a target measurement object determined according to the on-line strategy.
The input determined target measuring and calculating object is a specified target measuring and calculating object input by a user, such as a specified author to be measured and calculated, the number or condition of works to be measured and calculated, the scale of measuring and calculating data and the like; the target measurement and calculation object determined according to the on-line strategy is a calculation mode and a mode parameter of the on-line strategy, and the target measurement and calculation object is determined according to the formed on-line strategy, such as aiming at a part of authors or a small range of works. And obtaining the appropriate application range of the online strategy through different target measurement and calculation object determination modes so as to further optimize the adjustment mode of the online strategy of the information interaction platform.
In this embodiment, optionally, before determining the measurement task according to the calculation mode and the mode parameter of the online policy and the target measurement and calculation object, the method further includes:
obtaining a condition for determining a target measurement and calculation object, wherein the condition comprises the scale or the attribute of the target measurement and calculation object.
The scale or the attribute of the target measurement object determines the application range in the online strategy measurement. For example, when the target measurement object is an author, the scale or the attribute of the target measurement object may be a new author who is registered within two months, or fifty specified authors may be selected, and the like. When the target measurement and calculation object is an information work, the scale or the attribute of the target measurement and calculation object can be a new work or a specified subject work with the release time within one week, and the like. And specifying conditions for the target measurement and calculation object, and acquiring a strategy execution result of the on-line strategy in a required application object range, so as to conveniently make different on-line strategies aiming at different strategy application objects and optimize the execution result of the on-line strategy.
According to the technical scheme of the embodiment of the application, the measuring and calculating results of the online strategy are displayed, so that a user can update or confirm the online strategy according to the measuring and calculating results, the execution effect of the online strategy is timely obtained, and the adjustment mode of the online strategy is further optimized according to the measuring and calculating results.
Fig. 4 is a schematic flow chart of an adjusting method of an online policy according to an embodiment of the present application, which, based on the above embodiment, in order to further optimize an adjusting method of an online policy of an information interaction platform, after obtaining a measurement result of the online policy, further includes: determining an experiment task according to the calculation mode and mode parameters of the on-line strategy and a target experiment object; and executing the online strategy based on the online platform data of the target experimental object according to the experimental task to obtain an experimental result of the online strategy.
Referring to fig. 4, the method may specifically include:
s401, displaying optional configuration items of the online strategy based on the online strategy template.
S402, obtaining a calculation mode and a mode parameter of the online strategy input based on the optional configuration item.
And S403, determining a measuring and calculating task according to the calculating mode and the mode parameters of the on-line strategy and the target measuring and calculating object.
S404, measuring and calculating the off-line platform data of the target measuring and calculating object according to the measuring and calculating task so as to obtain a measuring and calculating result of the on-line strategy.
S405, determining an experiment task according to the calculation mode and mode parameters of the on-line strategy and a target experiment object.
The target experiment object is an object for actually applying the online strategy, such as a specified author or a specified type of author.
And determining an experimental task according to the calculation mode and mode parameters of the on-line strategy determined by measurement and calculation and the target experimental object so as to execute the specific content of the experimental task aiming at the target experimental object. Such as generating a run of triage strategies for authors who have a registration time greater than two years.
S406, according to the experiment task, the online strategy is executed based on the online platform data of the target experiment object, so that an experiment result of the online strategy is obtained.
According to the experiment task, calling on-line platform data of a required target experiment object, executing an on-line strategy, and obtaining an experiment result of the on-line strategy, wherein the experiment result can be a lubrication result of the target experiment object and the like.
FIG. 5 is a schematic diagram of a display interface for online policy history calculation task according to an embodiment of the present application.
The display interface comprises the name of the historical measuring and calculating task, the measuring and calculating time, the measuring and calculating personnel, the parameter configuration of a specific measuring and calculating mode and the measuring and calculating result, so that the historical measuring and calculating task can be conveniently viewed. The historical online strategy can be selected as an experimental online strategy, so that the test is started, and the parameter configuration and the measured data of the selected historical online strategy can be directly applied. The measurement staff may be a product staff or an operator, which is not limited in this embodiment, and may be used as an interactive interface for different measurement staff, so as to collaborate and modify the on-line policy.
In this embodiment, optionally, after obtaining the experimental result of the on-line policy, the method further includes:
obtaining a comparison result of the on-line strategy;
displaying the experimental result and the control result of the on-line strategy;
and the comparison result is an actual execution result of the object of the same type as the target experimental object based on the existing on-line strategy.
Illustratively, the same author may be selected to apply the experimental on-line strategy and the existing on-line strategy to show the difference in the generated wettability results.
The authors within two years of registration time may also be divided into batches, where one batch executes the online strategy to obtain experimental results, and the remaining batches execute one or more existing online strategies to obtain one or more control results. And displaying the experimental result and the comparison result, and acquiring the difference of the results of executing the strategy on the experimental line and the caused changes of the target experimental object, such as the change of the activity of the author or the change of the quality quantity of the information works. And judging whether the experimental on-line strategy meets the execution effect required by the on-line strategy or not so as to confirm whether the on-line strategy is further optimized or not and improve the optimization efficiency of the on-line strategy.
In this embodiment, optionally, after obtaining the experimental result of the on-line policy, the method further includes:
and determining rollback of the online strategy on an online platform or replacement of the existing online strategy according to the experimental result.
Wherein, when the experiment result does not meet the expected execution effect, rolling back to the on-line strategy before the experiment; and when the experimental result achieves the expected execution effect, the existing on-line strategy is replaced by the experimental on-line strategy, namely, the whole quantity is on line in the platform, and the response speed of the landing on-line strategy is accelerated.
According to the technical scheme of the embodiment of the application, the experiment task is determined according to the calculation mode and mode parameters of the on-line strategy and the target experiment object; and according to the experiment task, executing an online strategy based on the online platform data of the target experiment object to obtain an experiment result of the online strategy. And performing an execution experiment of the online strategy in a small range to obtain an experiment result so as to obtain the adjustment effect of the online strategy in time according to the experiment result, avoid serious consequences caused by adopting a wrong online strategy and accelerate the landing response speed.
Fig. 6 is a schematic structural diagram of an apparatus for adjusting an online policy according to an embodiment of the present application, where the apparatus may be implemented in a software and/or hardware manner, and may execute a method for adjusting an online policy according to any embodiment of the present application, and has functional modules and beneficial effects corresponding to the execution method. Referring to fig. 6, the adjusting apparatus 600 for online policy provided in this embodiment includes a configuration module 601 and a calculation module 602, where:
a configuration module 601, configured to display selectable configuration items of an online policy based on an online policy template;
the configuration module is also used for acquiring a calculation mode and a mode parameter of the online strategy input based on the selectable configuration item;
the configuration module is also used for determining a measuring and calculating task according to the calculating mode and the mode parameters of the on-line strategy and a target measuring and calculating object;
the measurement and calculation module 602 is configured to measure and calculate the offline platform data of the target measurement and calculation object according to the measurement and calculation task, so as to obtain a measurement and calculation result of the online policy.
According to the technical scheme of the embodiment of the application, the selectable configuration items of the online strategy are displayed through the online strategy template; acquiring a calculation mode and mode parameters of the online strategy input based on the selectable configuration items; determining a measuring and calculating task according to a calculating mode and mode parameters of the on-line strategy and a target measuring and calculating object; and according to the measuring and calculating task, measuring and calculating the off-line platform data of the target measuring and calculating object so as to obtain the measuring and calculating result of the on-line strategy. The adjustment mode of the online strategy of the information interaction platform is optimized, and the landing response speed is accelerated.
Optionally, the online policy is an author policy of the information interaction platform;
the optional configuration items comprise at least one factor for calculating the author moisturizing result, a factor logic relation in a calculation mode and a mode parameter in the calculation mode, wherein the mode parameter comprises a factor parameter and a factor weight;
the target measuring and calculating object is an author and/or an information work.
Optionally, the configuration module includes:
the configuration item display unit is used for displaying all selectable factors, logical relationship controls and mode parameter input boxes of the online strategy based on the online strategy template;
accordingly, the configuration module includes:
and the parameter and mode determining unit is used for determining at least one factor according to the selection of the user on all the selectable factors, determining the logical relationship among the selected factors and the input mode parameters according to the operation of the user on the logical relationship control, and determining the calculation mode of the online strategy.
Optionally, before the configuration module is configured to determine the measurement task according to the calculation mode and the mode parameter of the online policy and the target measurement object, the configuration module is further configured to:
acquiring a target measuring and calculating object determined by input; or
And acquiring a target measurement object determined according to the on-line strategy.
Optionally, before determining the measurement task according to the calculation mode and the mode parameter of the online policy and the target measurement and calculation object, the configuration module is further configured to:
obtaining a condition for determining a target measurement and calculation object, wherein the condition comprises the scale or the attribute of the target measurement and calculation object.
Optionally, after obtaining the measurement result of the online policy, the measurement module is further configured to:
and displaying the measuring and calculating result of the on-line strategy so that a user can update or confirm the on-line strategy according to the measuring and calculating result.
Optionally, the measurement and calculation module is further configured to, while displaying the measurement and calculation result of the online policy:
acquiring off-line platform data of the target measurement and calculation object, and based on an actual execution result of an existing on-line strategy;
and displaying the actual execution result as the comparison content of the measuring and calculating result.
Optionally, the device further includes an experiment module, configured to determine an experiment task according to the calculation mode and mode parameters of the online policy and a target experiment object after the calculation module obtains the calculation result of the online policy;
the experiment module is further used for executing the online strategy based on the online platform data of the target experiment object according to the experiment task so as to obtain an experiment result of the online strategy.
Optionally, after obtaining the experimental result of the on-line strategy, the experiment module is further configured to:
obtaining a comparison result of the on-line strategy;
displaying the experimental result and the control result of the on-line strategy;
and the comparison result is an actual execution result of the object of the same type as the target experimental object based on the existing on-line strategy.
Optionally, after the experiment module obtains the experiment result of the online strategy, the experiment module is further configured to:
and determining rollback of the online strategy on an online platform or replacement of the existing online strategy according to the experimental result.
Fig. 7 is a schematic structural diagram of an adjusting apparatus for an online policy according to an embodiment of the present application.
The configuration module is used for configuring mode parameters, configuring a calculation mode, storing configuration records, displaying measurement results and the like. The configuration module determines the measuring and calculating task and delivers the measuring and calculating task to the measuring and calculating module for execution.
The measuring and calculating module is used for measuring and calculating mode parameters, measuring and calculating a calculating mode, triggering a measuring and calculating task, pushing an execution result of the measuring and calculating task to the configuration module, and applying the calculating mode and the mode parameters for determining the on-line strategy to the experiment module and the like.
The experiment module is used for determining a target experiment object, experiment result comparison, on-line strategy rollback, on-line strategy replacement and the like.
The device for adjusting the online policy provided by the embodiment of the application can execute any method for adjusting the online policy provided by the embodiment of the application, and has corresponding functional modules and beneficial effects of the execution method. Reference may be made to the description of any method embodiment of the present application for details not explicitly described in this embodiment.
According to an embodiment of the present application, an electronic device and a readable storage medium are also provided.
Fig. 8 is a block diagram of an electronic device for implementing an online policy adjustment method according to an embodiment of the present application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.
As shown in fig. 8, the electronic apparatus includes: one or more processors 801, memory 802, and interfaces for connecting the various components, including a high speed interface and a low speed interface. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display graphical information of a GUI on an external input/output apparatus (such as a display device coupled to the interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices may be connected, with each device providing portions of the necessary operations (e.g., as a server array, a group of blade servers, or a multi-processor system). Fig. 8 illustrates an example of a processor 801.
The memory 802 is a non-transitory computer readable storage medium as provided herein. The memory stores instructions executable by at least one processor to cause the at least one processor to perform the method for adjusting the online policy provided by the present application. The non-transitory computer readable storage medium of the present application stores computer instructions for causing a computer to perform the method of adjustment of online policies provided herein.
The memory 802, as a non-transitory computer readable storage medium, may be used to store non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules (e.g., the configuration module 601 and the calculation module 603 shown in fig. 6) corresponding to the adjustment method of the online policy in the embodiment of the present application. The processor 801 executes various functional applications of the server and data processing by running non-transitory software programs, instructions, and modules stored in the memory 802, that is, implements the adjustment method of the online policy in the above-described method embodiment.
The memory 802 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 created by use of an electronic device for implementing adjustment of the on-line policy in the embodiment of the present application, and the like. Further, the memory 802 may include high speed random access memory and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 802 optionally includes memory located remotely from the processor 801, which may be connected via a network to an electronic device for implementing the adaptation of the online policy in the embodiments of the present application. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device of the method for adjusting an online policy may further include: an input device 803 and an output device 804. The processor 801, the memory 802, the input device 803, and the output device 804 may be connected by a bus or other means, and are exemplified by a bus in fig. 8.
The input device 803 may receive input numeric or character information and generate key signal inputs related to user settings and function controls of the electronic device for implementing the adjustment of the online policy in the embodiments of the present application, such as an input device like a touch screen, a keypad, a mouse, a track pad, a touch pad, a pointing stick, one or more mouse buttons, a track ball, a joystick, etc. The output devices 804 may include a display device, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibrating motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), and the Internet.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
According to the technical scheme of the embodiment of the application, the selectable configuration items of the online strategy are displayed through the online strategy template; acquiring a calculation mode and mode parameters of the online strategy input based on the selectable configuration items; determining a measuring and calculating task according to a calculating mode and mode parameters of the on-line strategy and a target measuring and calculating object; and according to the measuring and calculating task, measuring and calculating the off-line platform data of the target measuring and calculating object so as to obtain the measuring and calculating result of the on-line strategy. The adjustment mode of the online strategy of the information interaction platform is optimized, and the landing response speed is accelerated.
It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, and the present invention is not limited thereto as long as the desired results of the technical solutions disclosed in the present application can be achieved.
The above-described embodiments should not be construed as limiting the scope of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (17)
1. A method for adjusting an online strategy is characterized by comprising the following steps:
displaying selectable configuration items of the online strategy based on the online strategy template;
acquiring a calculation mode and a mode parameter of the online strategy input based on the selectable configuration item;
determining a measuring and calculating task according to the calculating mode and the mode parameters of the on-line strategy and a target measuring and calculating object;
and according to the measuring and calculating task, measuring and calculating the off-line platform data of the target measuring and calculating object so as to obtain a measuring and calculating result of the on-line strategy.
2. The method of claim 1, wherein:
the online strategy is an author divided strategy of the information interaction platform;
the optional configuration items comprise at least one factor for calculating the author moisturizing result, a factor logic relation in a calculation mode and a mode parameter in the calculation mode, wherein the mode parameter comprises a factor parameter and a factor weight;
the target measuring and calculating object is an author and/or an information work.
3. The method of claim 2, wherein presenting selectable configuration items of the online policy based on the online policy template comprises:
displaying all selectable factors, logical relation controls and mode parameter input boxes of the online strategy based on an online strategy template;
correspondingly, the obtaining of the calculation mode and the mode parameter of the online policy input based on the optional configuration item comprises:
and determining at least one factor according to the selection of the user on all the selectable factors, determining the logical relationship among the selected factors and the input mode parameters according to the operation of the user on the logical relationship control, and determining the calculation mode of the online strategy.
4. The method according to claim 1 or 2, wherein before determining the measurement task according to the calculation mode and mode parameters of the online strategy and the target measurement object, the method further comprises:
acquiring a target measuring and calculating object determined by input; or
And acquiring a target measurement object determined according to the on-line strategy.
5. The method according to claim 1 or 2, wherein before determining the measurement task according to the calculation mode and mode parameters of the online strategy and the target measurement object, the method further comprises:
obtaining a condition for determining a target measurement and calculation object, wherein the condition comprises the scale or the attribute of the target measurement and calculation object.
6. The method according to claim 1 or 2, wherein after obtaining the measurement result of the online policy, the method further comprises:
and displaying the measuring and calculating result of the on-line strategy so that a user can update or confirm the on-line strategy according to the measuring and calculating result.
7. The method of claim 6, wherein displaying the measurement and calculation results of the online policy further comprises:
acquiring off-line platform data of the target measurement and calculation object, and based on an actual execution result of an existing on-line strategy;
and displaying the actual execution result as the comparison content of the measuring and calculating result.
8. The method according to claim 1 or 2, wherein after obtaining the measurement result of the online policy, the method further comprises:
determining an experiment task according to the calculation mode and mode parameters of the on-line strategy and a target experiment object;
and executing the online strategy based on the online platform data of the target experimental object according to the experimental task to obtain an experimental result of the online strategy.
9. The method of claim 8, wherein after obtaining the experimental results of the online strategy, further comprising:
obtaining a comparison result of the on-line strategy;
displaying the experimental result and the control result of the on-line strategy;
and the comparison result is an actual execution result of the object of the same type as the target experimental object based on the existing on-line strategy.
10. The method of claim 8, wherein after obtaining the experimental results of the online strategy, further comprising:
and determining rollback of the online strategy on an online platform or replacement of the existing online strategy according to the experimental result.
11. An apparatus for adjusting an online policy, comprising:
the configuration module is used for displaying selectable configuration items of the online strategy based on the online strategy template;
the configuration module is also used for acquiring a calculation mode and a mode parameter of the online strategy input based on the selectable configuration item;
the configuration module is also used for determining a measuring and calculating task according to the calculating mode and the mode parameters of the on-line strategy and a target measuring and calculating object;
and the measuring and calculating module is used for measuring and calculating the off-line platform data of the target measuring and calculating object according to the measuring and calculating task so as to obtain the measuring and calculating result of the on-line strategy.
12. The apparatus of claim 11, wherein:
the online strategy is an author divided strategy of the information interaction platform;
the optional configuration items comprise at least one factor for calculating the author moisturizing result, a factor logic relation in a calculation mode and a mode parameter in the calculation mode, wherein the mode parameter comprises a factor parameter and a factor weight;
the target measuring and calculating object is an author and/or an information work.
13. The apparatus of claim 12, wherein the configuration module comprises:
the configuration item display unit is used for displaying all selectable factors, logical relationship controls and mode parameter input boxes of the online strategy based on the online strategy template;
accordingly, the configuration module includes:
and the parameter and mode determining unit is used for determining at least one factor according to the selection of the user on all the selectable factors, determining the logical relationship among the selected factors and the input mode parameters according to the operation of the user on the logical relationship control, and determining the calculation mode of the online strategy.
14. The apparatus according to claim 11 or 12, wherein the configuration module, before being configured to determine the measurement task according to the calculation method and method parameters of the online policy and the target measurement object, is further configured to:
acquiring a target measuring and calculating object determined by input; or
And acquiring a target measurement object determined according to the on-line strategy.
15. The apparatus of claim 11 or 12, further comprising:
the experiment module is used for determining an experiment task according to the calculation mode and mode parameters of the online strategy and a target experiment object after the calculation module obtains the calculation result of the online strategy;
the experiment module is further used for executing the online strategy based on the online platform data of the target experiment object according to the experiment task so as to obtain an experiment result of the online strategy.
16. 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 executable by the at least one processor to enable the at least one processor to perform the method of adjusting an online policy of any one of claims 1-10.
17. A non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the method for adjusting an online policy according to any one of claims 1 to 10.
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