An experimental data processing method and device, a storage medium and an electronic device

Abstract

This disclosure provides an experimental data processing method, apparatus, storage medium, and electronic device. The method includes acquiring experimental group service data of a target strategy; extracting a preset identifier from the experimental group service data; and generating first experimental data based on the preset identifier; wherein the preset identifier indicates whether the target solution determined by the target strategy is transmitted to the user terminal for execution. By identifying the preset identifier in the experimental group service data, it can be determined whether the target strategy reaches the user, i.e., whether the target solution determined by the target strategy is transmitted to the user terminal corresponding to the experimental group service data for execution. Generating the first experimental data based on the experimental group service data that reaches the user reduces interference from experimental group service data that cannot reach the user, thus improving the accuracy of the first experimental data.

Description

TECHNICAL FIELD

[0001] Embodiments of the present disclosure relate to data processing technology, and particularly, to an experimental data processing method and device, a storage medium, and an electronic device. BACKGROUND

[0002] In a business system, a plurality of at least one strategy is included, and a target scheme corresponding to the business data of the user end is determined through the corresponding strategy for the business data of the user end. The target scheme is transmitted to the user end for execution to solve the business problem corresponding to the business data of the user end.

[0003] In order to determine the effect data corresponding to each strategy, a comparative experiment can be performed on the strategy. Experimental data is obtained in the experimental process of the strategy, and the experimental data can include data identifiers of the execution strategy processing flow. However, in the specific process, the strategy can not reach the user, resulting in dilution of the experimental effect data, that is, the experimental data is inaccurate, which affects the effect determination of the strategy. SUMMARY

[0004] The present disclosure provides an experimental data processing method and device, a storage medium, and an electronic device to improve the accuracy of experimental data.

[0005] In a first aspect, the embodiments of the present disclosure provide an experimental data processing method, comprising:

[0006] obtaining experimental group business data of a target strategy;

[0007] extracting a preset identifier in the experimental group business data of the target strategy based on the experimental group business data of the target strategy, and generating first experimental data based on the preset identifier;

[0008] The preset identifier represents whether the target scheme determined by the target strategy is transmitted to the user end for execution.

[0009] In a second aspect, the embodiments of the present disclosure further provide an experimental data processing device, comprising:

[0010] a data acquisition module configured to obtain experimental group business data of a target strategy;

[0011] a first experimental data generation module configured to extract a preset identifier in the experimental group business data of the target strategy based on the experimental group business data of the target strategy, and generate first experimental data based on the preset identifier;

[0012] The preset identifier represents whether the target scheme determined by the target strategy is transmitted to the user end for execution.

[0013] In a third aspect, the embodiments of the present disclosure further provide an electronic device, characterized in that the electronic device comprises:

[0014] one or more processors;

[0015] a memory device for storing one or more programs,

[0016] When the one or more programs are executed by the one or more processors, the one or more processors implement the experimental data processing method provided by the embodiments of the present disclosure.

[0017] In a fourth aspect, the embodiments of the present disclosure further provide a storage medium containing computer executable instructions for executing the experimental data processing method provided by the embodiments of the present disclosure when executed by a computer processor.

[0018] In the embodiments of the present disclosure, by identifying the preset identifier in the experimental group service data, it can be determined whether the target strategy reaches the user, i.e., whether it is transmitted to the user end corresponding to the experimental group service data for execution. The first experimental data is generated based on the experimental group service data reaching the user, which reduces the interference of the experimental group service data that cannot reach the user on the first experimental data, and provides the accuracy of the first experimental data. BRIEF DESCRIPTION OF DRAWINGS

[0019] The above and other features, advantages, and aspects of the embodiments of the present disclosure will become more apparent with reference to the following detailed description in conjunction with the accompanying drawings. Throughout the drawings, same or similar reference numerals can represent same or similar elements. It should be understood that the drawings are schematic, and the original and elements are not necessarily drawn according to the scale.

[0020] Figure 1 is a flowchart of an experimental process of a target strategy provided by the embodiments of the present disclosure;

[0021] Figure 2 is a schematic diagram of an experimental process provided by the embodiments of the present disclosure;

[0022] Figure 3 is a flowchart of an experimental data processing method provided by the embodiments of the present disclosure;

[0023] Figure 4 is a flowchart of an experimental process of a target strategy provided by the embodiments of the present disclosure;

[0024] Figure 5 is a flowchart of an experimental data processing method provided by the embodiments of the present disclosure;

[0025] Figure 6 is a schematic diagram of a generation process of second experimental data provided by the embodiments of the present disclosure;

[0026] Figure 7is a contrast chart of an experimental group and a target strategy execution user group provided by an embodiment of the present disclosure;

[0027] Figure 8 is a structural schematic diagram of an experimental data processing device provided by an embodiment of the present disclosure;

[0028] Figure 9 is a structural schematic diagram of an electronic device provided by an embodiment of the present disclosure. DETAILED DESCRIPTION

[0029] Embodiments of the present disclosure will be described in more detail with reference to the drawings. Although some embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure can be implemented in various forms, and should not be interpreted as being limited to the embodiments set forth herein, but rather, these embodiments are provided so that the present disclosure can be more thoroughly and completely understood. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes, and are not intended to limit the scope of protection of the present disclosure.

[0030] It should be understood that each step described in the method embodiments of the present disclosure can be executed in different orders, and / or in parallel. In addition, the method embodiments can include additional steps and / or omit the execution of the steps shown. The scope of the present disclosure is not limited in this respect.

[0031] The term "comprising" and variations thereof as used herein are open-ended, that is, "comprising but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Related definitions will be given in the description below.

[0032] It should be noted that the concepts of "first", "second", etc. mentioned in the present disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0033] It should be noted that the modification of "one" or "multiple" mentioned in the present disclosure is illustrative rather than limiting, and those skilled in the art should understand that, unless otherwise explicitly indicated in the context, it should be understood as "one or more".

[0034] The names of the messages or information exchanged between the plurality of devices in the embodiments of the present disclosure are only for illustrative purposes, and are not intended to limit the scope of the messages or information.

[0035] It is understood that before using the technical solutions disclosed in the various embodiments of this disclosure, users should be informed of the types, scope of use, and usage scenarios of the personal information involved in this disclosure in an appropriate manner in accordance with relevant laws and regulations, and user authorization should be obtained.

[0036] For example, upon receiving a user's active request, a prompt message is sent to the user to explicitly inform them that the requested operation will require the acquisition and use of the user's personal information. This allows the user to independently choose whether to provide personal information to the software or hardware, such as the electronic device, application, server, or storage medium performing the operations of this disclosed technical solution, based on the prompt message.

[0037] As an optional but non-limiting implementation, in response to a user's active request, sending a prompt message to the user can be done via a pop-up window, where the prompt message can be presented in text format. Furthermore, the pop-up window can also include a selection control allowing the user to choose "agree" or "disagree" to provide personal information to the electronic device.

[0038] It is understood that the above notification and user authorization process are merely illustrative and do not constitute a limitation on the implementation of this disclosure. Other methods that comply with relevant laws and regulations may also be applied to the implementation of this disclosure.

[0039] It is understood that the data involved in this technical solution (including but not limited to the data itself, the acquisition or use of the data) shall comply with the requirements of relevant laws, regulations and related provisions.

[0040] In this embodiment of the disclosure, the newly added policy version to be tested is taken as the target policy, and A / B experiments are conducted on the target policy to obtain the experimental data corresponding to the target policy.

[0041] For example, see Figure 1 , Figure 1 This is a flowchart illustrating an experimental process for a target strategy provided in this disclosure. For the target strategy, initial business data is acquired, which may include a data identifier, such as a user ID. By sending a traffic splitting request to the experimental module, the initial business data is split into experimental group business data and control group business data. The experimental group business data consists of the initial business data for the processing flow executing the target strategy, while the control group business data consists of the initial business data for the processing flow not executing the target strategy.

[0042] exist Figure 1During the experiment, the data link and the engineering link are coupled. The data link can be understood as the link that generates experimental data, and the engineering link can be understood as the link that executes the experimental process. Specifically, based on the traffic splitting results, the data identifiers in the experimental group's business data are written into the data table database to form experimental data; and based on the traffic splitting results, the processing flow of the target strategy is executed on the experimental group's business data.

[0043] It should be noted that after the experimental group's business data undergoes the processing flow of the target strategy, there are two scenarios: either the target strategy reaches the user, meaning the target solution determined by the target strategy is transmitted to the user for execution; or the target strategy does not reach the user, meaning the target solution determined by the target strategy is not transmitted to the user for execution. It is understandable that the target strategy can determine different solutions for different business data, and the target solution determined by the target strategy can be a solution determined specifically for the experimental group's business data.

[0044] When the target solution determined by the target strategy is not transmitted to the user terminal for execution, the data identifiers in the experimental data are inconsistent with the data identifiers corresponding to the clients that actually execute the target solution determined by the target strategy. This leads to inaccurate experimental data and further dilutes the effect data of the strategy. Effect data can be understood as data representing the business results generated after the user terminal executes the target solution determined by the target strategy. Different business systems have different business effects; for example, in an e-commerce system, the business effect can be the subsequent transaction data on the user terminal. Furthermore, when comparing the execution effects of the experimental group and the user group, because the experimental data includes data identifiers corresponding to clients that did not execute the target solution determined by the target strategy, the effect data dilution leads to inaccurate execution effects in the experimental group, affecting the reliability of the experiment.

[0045] Reasons why a target strategy might fail to reach users could include virtual execution of the target strategy, i.e., strategy "empty execution." This can be understood as executing only the target strategy's processing flow, but without transmitting the resulting solution to the user's end for execution. In other words, the user's end corresponding to the experimental group's business data cannot receive the solution determined by the target strategy. The target strategy's processing flow is executed within the business system. Before the target strategy goes live, its processing flow can be verified by performing an empty run of the target strategy on the business system. Once the processing flow shows no abnormalities, the target strategy is set to live. With the target strategy live, the business system can transmit the solution determined by the target strategy to the user's end for execution, meaning the target strategy can reach the user.

[0046] Another reason why the target strategy might fail to reach users could be that the experimental group's business data does not meet the constraints of the target strategy. The target strategy can have pre-set constraints to filter the experimental group's business data, removing data that does not conform to the target strategy. These constraints may include, but are not limited to, one or more priority constraints and quantitative constraints, and different target strategies may have different constraints. If the user's business data meets the constraints of the target strategy, the business system will transmit the target solution determined by the target strategy to the user's terminal corresponding to the experimental group's business data for execution. If the user's business data does not meet the constraints of the target strategy, the business system will not transmit the target solution determined by the target strategy to the user's terminal corresponding to the experimental group's business data for execution.

[0047] For example, see Figure 2 , Figure 2 This is a schematic diagram of the experimental process provided in this embodiment. When the target strategy is strategy A, the initial business data is split into experimental group business data and control group business data through experimental module A. The experimental group business data is filtered through the business logic node. If the experimental group business data does not meet the constraints preset by the business logic node, the business system will not transmit the solution A determined by strategy A to the user terminal corresponding to the experimental group business data for execution.

[0048] Understandable, Figure 2 This is merely a simplified process for a target strategy. The strategy in the business system may include a general strategy and at least one sub-strategy within the general strategy. The general strategy may include multiple levels of sub-strategies. The target strategy disclosed herein may be a general strategy or any sub-strategy.

[0049] To address the technical problem of inaccurate experimental data generated during the aforementioned experiments, this disclosure provides an experimental data processing method. Figure 3 This is a flowchart illustrating an experimental data processing method provided in an embodiment of the present disclosure. This embodiment is applicable to the process of conducting experiments on a target strategy, determining the experimental data generated when the target strategy reaches users from the business data of the experimental group, thereby improving the accuracy of the experimental data and avoiding the dilution of the effect data of the target strategy. The method can be executed by an experimental data processing device, which can be implemented in the form of software and / or hardware, and optionally, by an electronic device, such as a mobile terminal, a PC, or a server.

[0050] like Figure 3 As shown, the method includes:

[0051] S110. Obtain the experimental group business data of the target strategy.

[0052] S120. For the experimental group business data of the target strategy, extract the preset identifier from the experimental group business data, and generate the first experimental data based on the preset identifier.

[0053] In this embodiment, the target strategy can be set according to the business requirements of the business system. For example, if the business system is an e-commerce system, the target strategy can be, but is not limited to, settlement strategies and after-sales strategies, etc. The specific content of the target strategy is not limited here.

[0054] The experimental group business data of the target strategy can be understood as the initial business data belonging to the experimental group after traffic splitting. Optionally, obtaining the experimental group business data of the target strategy includes: obtaining the initial business data, performing traffic splitting on the initial business data based on the experimental module of the target strategy, and obtaining the traffic splitting result of the initial business data, wherein the traffic splitting result includes a control group and an experimental group, and the initial business data corresponding to the experimental group is the experimental group business data.

[0055] The experimental module of the target strategy may include traffic splitting rules, which are used to split the initial business data. For example, the classification rule could be random sampling based on a preset splitting ratio, whereby the ratio of the initial business data in the user group and the experimental group satisfies the preset splitting ratio. The splitting rules in the experimental module are not limited here.

[0056] In this embodiment, the initial business data may include a preset identifier, a data identifier, and business data. Taking an e-commerce system as an example, the user business data may be user order data. The data identifier is used to identify the initial business data. For example, the data identifier may include, but is not limited to, user ID.

[0057] The preset identifier indicates whether the target solution determined by the target strategy is transmitted to the user terminal for execution. Specifically, the preset identifier may include an access identifier and a blocking identifier, whereby the blocking identifier indicates that the target solution determined by the target strategy is not transmitted to the user terminal for execution; the access identifier indicates that the target solution determined by the target strategy is transmitted to the user terminal for execution. For example, the access identifier can be represented by the identifier "1", and the blocking identifier can be represented by the identifier "0". By writing the preset identifier into the setting field of the initial business data, the corresponding experimental group business data determined by the traffic splitting process includes the preset identifier.

[0058] This preset flag can be set according to experimental needs. For example, in the pre-launch phase of the target policy, the target policy will not reach users in order to verify its processing flow; in the post-launch phase, the target policy can reach users. Based on the above experimental needs, a blocking flag is set for initial business data in the pre-launch phase of the target policy, and a reaching flag is set for initial business data in the post-launch phase of the target policy.

[0059] A preset identifier is extracted from the experimental group business data. For example, the preset identifier can be extracted from a designated field in the experimental group business data. First experimental data is generated based on the preset identifier, including: determining the first experimental data based on the experimental group business data corresponding to the reach identifier. Optionally, target experimental group business data with the preset identifier being a reach identifier are obtained, and data identifiers from multiple target experimental group business data sets form the first experimental data. Optionally, if the preset identifier is a reach identifier, the data identifiers from the experimental group business data are written to a data table database; if the preset identifier is a blocking identifier, the data identifiers from the experimental group business data are not written to the data table database. The data identifiers included in the data table database form the first experimental data.

[0060] By setting preset identifiers, it is possible to quickly distinguish whether the user terminals corresponding to the experimental group business data have executed the target strategy to make a target solution, thereby enabling rapid classification of the experimental group business data. The experimental group business data that does not execute the target strategy to make a target solution is blocked, and experimental data is not formed based on this experimental group business data. Only the experimental group business data that executes the target strategy to make a target solution is used to form experimental data, thus improving the accuracy of the experimental data.

[0061] Based on the above embodiments, the target policy processing flow is executed on the experimental group business data. Here, the target policy processing flow is executed on the experimental group business data that are set with reach flags and blocking flags, and is not affected by the preset flags.

[0062] For example, see Figure 4 , Figure 4 This is a flowchart illustrating an experimental process for a target strategy provided in this embodiment. For the target strategy, initial business data is obtained, which may include data identifiers. By sending a traffic splitting request to the experimental module, the initial business data is split to obtain experimental group business data and control group business data. Figure 4 In this process, the data link and engineering link are decoupled. Based on the traffic splitting results, the target policy processing flow is executed on the experimental group's business data. A preset identifier is extracted from the experimental group's business data. This preset identifier is used to determine whether the experimental group's business data is blocked. If the preset identifier is a blocking identifier, the experimental group's business data is blocked; if the preset identifier is a reach identifier, the experimental group's business data is not blocked. If the experimental group's business data is not blocked, the data identifier is written to the data table database, forming the first experimental data. If the experimental group's business data is blocked, the data identifier in the experimental group's business data is written to the blocking table database.

[0063] The technical solution of this disclosure embodiment can determine whether the target strategy reaches the user, i.e. whether it is transmitted to the user terminal corresponding to the experimental group business data, by identifying the preset identifier in the experimental group business data. The first experimental data is generated based on the experimental group business data that reaches the user, which reduces the interference of the experimental group business data that cannot reach the user on the first experimental data and provides the accuracy of the first experimental data.

[0064] Figure 5 This is a flowchart of an experimental data processing method provided in this disclosure embodiment. Based on the above embodiment, optimizations have been made. The method specifically includes:

[0065] S210. Obtain the experimental group business data of the target strategy.

[0066] S220. Extract the preset identifier from the experimental group business data, and generate the first experimental data based on the preset identifier.

[0067] S230. Experimental cache data is formed based on the data identifiers in the experimental group's business data.

[0068] S240. Obtain the correction data corresponding to the target strategy, and determine the second experimental data based on the correction data and the experimental cache data. The correction data includes the data identifier corresponding to the user terminal of the target scheme determined by executing the target strategy.

[0069] Understandably, if the experimental group's business data carries a preset identifier, it's possible to determine whether the target strategy has reached the user before executing the target strategy's processing flow, thus generating accurate initial experimental data. However, if the experimental group's business data does not carry a preset identifier, it's impossible to determine whether the target strategy has reached the user before executing the target strategy's processing flow.

[0070] In this embodiment, after determining the experimental group business data by splitting the initial business data, experimental cache data is generated based on the data identifiers in the experimental group business data. The experimental cache data includes the data identifiers in all experimental group business data of the target strategy.

[0071] By acquiring the correction data corresponding to the target strategy, this correction data includes a data identifier for the target solution determined by executing the target strategy. For example, when the user receives the target solution determined by the target strategy transmitted by the business system and executes the target solution, a prompt message is sent to the experimental module of the business system. This prompt message indicates that the user has received the target solution and has executed it. Optionally, the prompt message may include a strategy identifier, a strategy execution identifier, and a data identifier. The strategy execution identifier indicates that the user has executed the target strategy, and the strategy identifier indicates the target strategy corresponding to the target solution executed by the user. The business system receives the prompt message from the user, parses the prompt message, and writes the data identifier corresponding to the user into the correction data corresponding to the target strategy.

[0072] Based on the correction data and the experimental cache data, the data identifiers corresponding to the user terminals that did not execute the target strategy to determine the target solution in the experimental cache data are removed to obtain the second experimental data, thereby providing the accuracy of the second experimental data.

[0073] Optionally, determining the second experimental data based on the correction data and the experimental cache data includes: matching the correction data and the experimental cache data, and determining the second experimental data based on the successfully matched data identifiers in the correction data and the experimental cache data. It is understood that the experimental cache data and the correction data each carry a policy identifier of the target policy; experimental cache data and correction data with the same policy identifier are matched. The second experimental data is formed based on the successfully matched data identifiers in the experimental cache data and the correction data. For example, if the experimental cache data includes data identifier 1 and the correction data includes data identifier 1, data identifier 1 is determined to be a successfully matched data identifier. Optionally, the intersection of the experimental cache data and the correction data is taken, and the data identifiers in the intersection are used as the second experimental data.

[0074] For example, see Figure 6 , Figure 6 This is a schematic diagram illustrating the process of generating the second experimental data provided in this embodiment of the disclosure. Figure 6 The target strategy can be strategy A. When determining the business data for the experimental group through experimental traffic splitting, experimental cache data is obtained. After the target strategy reaches the user, i.e., after the user executes the target solution determined by the target strategy, correction data is obtained. The experimental cache data is then corrected using the correction data to obtain the second experimental data. It can be understood that the correction data may include a correction identifier to distinguish it from the experimental cache data.

[0075] The technical solution provided in this embodiment forms experimental cache data from the experimental group service data obtained based on traffic splitting processing, and the experimental cache data serves as pending data. Correction data, formed from the data identifiers of user terminals corresponding to the target scheme determined by the target policy, is received. This correction data is then used to correct the experimental cache data, removing the data identifiers of user terminals that did not execute the target policy from the experimental cache data, thus obtaining second experimental data and improving the accuracy of the second experimental data.

[0076] according to Figure 5 It can be seen that steps S220 and S230-S240 can be executed in parallel. For example, if a preset identifier is set in the experimental group business data, the first experimental data can be obtained through step S220. For example, if at least some of the experimental group business data does not have a preset identifier, the second experimental data can be obtained through steps S230-S240. Optionally, if the preset identifier is not found in the experimental group business data, the step of forming experimental cache data based on the data identifier in the experimental group business data is executed.

[0077] In some embodiments, before the target strategy is deployed, a preset identifier can be set for the initial experimental data, and the first experimental data can be obtained through step S220, serving as the target experimental data corresponding to the target strategy. After the target strategy is deployed, the second experimental data can be obtained through steps S230-S240, serving as the target experimental data corresponding to the target strategy.

[0078] In some embodiments, experimental group business data is acquired. If a preset identifier is extracted from the experimental group business data, first experimental data is generated based on the experimental group business data carrying the preset identifier. If the preset identifier is not extracted from the experimental group business data, experimental cache data is generated based on the experimental group business data without the preset identifier. Correction data is acquired, and the experimental group business data is corrected using the correction data to obtain second experimental data. Target experimental data corresponding to the target strategy is obtained based on the first and second experimental data. Specifically, the union of the first and second experimental data can be used as the target experimental data corresponding to the target strategy.

[0079] For example, see Figure 7 , Figure 7 This is a comparison chart of the experimental group of users and the target policy execution user group provided in the embodiments of this disclosure. According to... Figure 7 It is known that the user group corresponding to the experimental group business data obtained after traffic splitting is larger than the target policy execution user group. In this disclosure, the first or second experimental data includes data identifiers corresponding to the target policy execution user group. Compared to the experimental group splitting user group, the data identifiers of users who did not execute the target policy are removed, improving the accuracy of the experimental data and avoiding the problem of data dilution.

[0080] Figure 8 This is a schematic diagram of the structure of an experimental data processing device provided in an embodiment of the present disclosure, as shown below. Figure 8 As shown, the device includes a data acquisition module 310 and a first experimental data generation module 320.

[0081] The data acquisition module 310 is used to acquire the experimental group business data of the target strategy;

[0082] The first experimental data generation module 320 is used to extract a preset identifier from the experimental group business data for the target strategy, and generate first experimental data based on the preset identifier.

[0083] The preset identifier indicates whether the target solution determined by the target strategy is transmitted to the user terminal for execution.

[0084] The technical solution provided in this disclosure can determine whether the target solution decided by the target strategy reaches the user, i.e. whether it is transmitted to the user terminal corresponding to the experimental group business data for execution, by identifying the preset identifier in the experimental group business data. The first experimental data is generated based on the experimental group business data that reaches the user, which reduces the interference of the experimental group business data that cannot reach the user on the first experimental data and provides the accuracy of the first experimental data.

[0085] Based on the above embodiments, optionally, the preset identifier includes an access identifier and a blocking identifier;

[0086] The first experimental data generation module 320 is used to: determine the first experimental data based on the experimental group business data corresponding to the reach identifier.

[0087] Optionally, based on the above embodiments, the device further includes:

[0088] The experimental cache data generation module is used to generate experimental cache data based on the data identifier in the experimental group business data when the preset identifier is not extracted from the experimental group business data.

[0089] The second experimental data generation module is used to obtain the correction data corresponding to the target strategy, and determine the second experimental data based on the correction data and the experimental cache data. The correction data includes the data identifier corresponding to the user terminal of the target scheme determined by executing the target strategy.

[0090] Optional, the second experimental data generation module is specifically used for:

[0091] The calibration data and the experimental cache data are matched, and the second experimental data is determined based on the data identifiers that match successfully in the calibration data and the experimental cache data.

[0092] Optionally, based on the above embodiments, the device further includes:

[0093] The target experimental data determination module is used to form target experimental data corresponding to the target strategy based on the first experimental data and / or the second experimental data.

[0094] Based on the above embodiments, optionally, the data acquisition module 310 is used to: acquire initial business data, and perform diversion processing on the initial business data based on the experimental module of the target strategy to obtain the diversion result of the initial business data, wherein the diversion result includes a control group and an experimental group, and the initial business data corresponding to the experimental group is the business data of the experimental group.

[0095] Based on the above embodiments, optionally, the device further includes an experiment execution module for executing the target strategy processing flow on the experimental group business data.

[0096] The experimental data processing apparatus provided in this disclosure can execute the experimental data processing method provided in any embodiment of this disclosure, and has the corresponding functional modules and beneficial effects for executing the method.

[0097] It is worth noting that the various units and modules included in the above-mentioned device are only divided according to functional logic, but are not limited to the above division, as long as the corresponding functions can be realized; in addition, the specific names of each functional unit are only for easy differentiation and are not used to limit the protection scope of the embodiments of this disclosure.

[0098] Figure 9 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this disclosure. Reference is made below. Figure 9 It illustrates an electronic device suitable for implementing embodiments of the present disclosure (e.g., Figure 9 The diagram below shows the structure of the terminal device or server 500. The terminal device in this embodiment may include, but is not limited to, mobile terminals such as mobile phones, laptops, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and vehicle terminals (e.g., vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Figure 9 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments disclosed herein.

[0099] like Figure 9As shown, electronic device 500 may include a processing unit (e.g., central processing unit, graphics processor, etc.) 501, which can perform various appropriate actions and processes according to a program stored in read-only memory (ROM) 502 or a program loaded from storage device 508 into random access memory (RAM) 503. The RAM 503 also stores various programs and data required for the operation of electronic device 500. The processing unit 501, ROM 502, and RAM 503 are interconnected via bus 504. An edit / output (I / O) interface 505 is also connected to bus 504.

[0100] Typically, the following devices can be connected to I / O interface 505: input devices 506 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 507 including, for example, liquid crystal displays (LCDs), speakers, vibrators, etc.; storage devices 508 including, for example, magnetic tapes, hard disks, etc.; and communication devices 509. Communication device 509 allows electronic device 500 to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 9 An electronic device 500 with various devices is shown; however, it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed alternatively.

[0101] In particular, according to embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this disclosure include a computer program product comprising a computer program carried on a non-transitory computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via a communication device 509, or installed from a storage device 508, or installed from a ROM 502. When the computer program is executed by the processing device 501, it performs the functions defined in the methods of embodiments of this disclosure.

[0102] The names of messages or information exchanged between multiple devices in the embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

[0103] The electronic device provided in this embodiment and the experimental data processing method provided in the above embodiments belong to the same inventive concept. Technical details not described in detail in this embodiment can be found in the above embodiments, and this embodiment has the same beneficial effects as the above embodiments.

[0104] This disclosure provides a computer storage medium storing a computer program that, when executed by a processor, implements the experimental data processing method provided in the above embodiments.

[0105] It should be noted that the computer-readable medium described in this disclosure can be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this disclosure, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in connection with an instruction execution system, apparatus, or device. In this disclosure, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0106] In some implementations, clients and servers can communicate using any currently known or future-developed network protocol such as HTTP (Hypertext Transfer Protocol) and can interconnect with digital data communication (e.g., communication networks) of any form or medium. Examples of communication networks include local area networks (“LANs”), wide area networks (“WANs”), the Internet (e.g., the Internet of Things), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future-developed networks.

[0107] The aforementioned computer-readable medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device.

[0108] The aforementioned computer-readable medium carries one or more programs that, when executed by the electronic device, cause the electronic device to:

[0109] The aforementioned computer-readable medium carries one or more programs. When the aforementioned one or more programs are executed by the electronic device, the electronic device causes the electronic device to: acquire experimental group service data of the target strategy; extract a preset identifier from the experimental group service data of the target strategy, and generate first experimental data based on the preset identifier; wherein the preset identifier indicates whether the target scheme determined by the target strategy is transmitted to the user terminal for execution.

[0110] Computer program code for performing the operations of this disclosure can be written in one or more programming languages ​​or a combination thereof, including but not limited to object-oriented programming languages ​​such as Java, Smalltalk, and C++, as well as conventional procedural programming languages ​​such as the "C" language or similar programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0111] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0112] The units described in the embodiments of this disclosure can be implemented in software or in hardware. The name of a unit does not necessarily limit the unit itself; for example, the first acquisition unit can also be described as "a unit that acquires at least two Internet Protocol addresses".

[0113] The functions described above in this document can be performed, at least in part, by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: Field Programmable Gate Arrays (FPGAs), Application-Specific Integrated Circuits (ASICs), Application Standard Products (ASSPs), System-on-Chip (SoCs), Complex Programmable Logic Devices (CPLDs), and so on.

[0114] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0115] The above description is merely a preferred embodiment of this disclosure and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of this disclosure is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described concept. For example, technical solutions formed by substituting the above features with (but not limited to) technical features disclosed in this disclosure that have similar functions.

[0116] Furthermore, while the operations are described in a specific order, this should not be construed as requiring these operations to be performed in the specific order shown or in a sequential order. In certain environments, multitasking and parallel processing may be advantageous. Similarly, while several specific implementation details are included in the above discussion, these should not be construed as limiting the scope of this disclosure. Certain features described in the context of individual embodiments may also be implemented in combination in a single embodiment. Conversely, various features described in the context of a single embodiment may also be implemented individually or in any suitable sub-combination in multiple embodiments.

[0117] Although the subject matter has been described using language specific to structural features and / or methodological logic, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or actions described above. Rather, the specific features and actions described above are merely illustrative examples of implementing the claims.

Claims

1. A method for processing experimental data, characterized in that, include: Obtain business data from the experimental group of the target strategy; For the experimental group business data of the target strategy, a preset identifier is extracted from the experimental group business data, and first experimental data is generated based on the preset identifier; The preset identifier indicates whether the target solution determined by the target strategy is transmitted to the user terminal for execution.

2. The method according to claim 1, characterized in that, The preset identifier includes an access identifier and a blocking identifier; the access identifier indicates that the target solution determined by the target strategy is transmitted to the user terminal for execution, and the blocking identifier indicates that the target solution determined by the target strategy is not transmitted to the user terminal for execution. First experimental data is generated based on the preset identifier, including: The first experimental data is determined based on the experimental group business data corresponding to the reach identifier.

3. The method according to claim 1, characterized in that, The method further includes: Experimental cache data is formed based on the data identifiers in the experimental group's business data; Obtain the correction data corresponding to the target strategy, wherein the correction data includes the data identifier of the user terminal corresponding to the target solution determined by executing the target strategy; Based on the correction data and the experimental cache data, the second experimental data is determined.

4. The method according to claim 3, characterized in that, The determination of the second experimental data based on the correction data and the experimental cache data includes: The calibration data and the experimental cache data are matched, and the second experimental data is determined based on the data identifiers that match successfully in the calibration data and the experimental cache data.

5. The method according to claim 3, characterized in that, The method further includes: Based on the first experimental data and / or the second experimental data, target experimental data corresponding to the target strategy is formed.

6. The method according to claim 1, characterized in that, Obtain business data from the experimental group for the target strategy, including: Initial business data is obtained, and the experimental module based on the target strategy performs traffic splitting on the initial business data to obtain the traffic splitting result of the initial business data. The traffic splitting result includes a control group and an experimental group, and the initial business data corresponding to the experimental group is the business data of the experimental group.

7. The method according to claim 1 or 6, characterized in that, The method further includes: The process of executing the target strategy on the business data of the experimental group.

8. An experimental data processing device, characterized in that, include: The data acquisition module is used to acquire business data from the experimental group of the target strategy; The first experimental data generation module is used to extract a preset identifier from the experimental group business data of the target strategy, and generate first experimental data based on the preset identifier. The preset identifier indicates whether the target solution determined by the target strategy is transmitted to the user terminal for execution.

9. An electronic device, characterized in that, The electronic device includes: One or more processors; Storage device for storing one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors implement the experimental data processing method as described in any one of claims 1-7.

10. A storage medium containing computer-executable instructions, which, when executed by a computer processor, are used to perform the experimental data processing method as described in any one of claims 1-7.

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