CN110493336B - Method and device for determining target user side in gray scale release process - Google Patents
Method and device for determining target user side in gray scale release process Download PDFInfo
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- CN110493336B CN110493336B CN201910754754.9A CN201910754754A CN110493336B CN 110493336 B CN110493336 B CN 110493336B CN 201910754754 A CN201910754754 A CN 201910754754A CN 110493336 B CN110493336 B CN 110493336B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H—ELECTRICITY
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- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/535—Tracking the activity of the user
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
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- H04L67/55—Push-based network services
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Abstract
The embodiment of the invention discloses a method and a device for determining a target user side in a gray scale release process, wherein the method comprises the following steps: setting first buried point data in a user side in advance; acquiring first buried point data uploaded by the user side according to the detected first behavior event; and obtaining the use frequency of the user side according to the first buried point data, and if the use frequency reaches or exceeds a preset use frequency threshold value, determining the user side as a target user side needing to perform gray scale distribution. By adopting the method for determining the target user terminal in the gray scale release process, the version demand information of the user terminal can be accurately acquired in a point burying mode, so that accurate gray scale release is realized, the pushed gray scale version is more targeted, and the use experience of a user is improved.
Description
Technical Field
The embodiment of the invention relates to the field of system updating, in particular to a method and a device for determining a target user side in a gray scale release process, and further relates to electronic equipment and a computer-readable storage medium.
Background
In recent years, with the rapid development of network technology, more and more business services are implemented based on the internet, and in order to better provide services to users, system programs related to the business services generally need to be continuously updated. However, each time the version of the system program is released, the use of a large number of users is affected, and the actual requirements of the users cannot be met. Therefore, when a network service provider releases a system program version, a gray scale release method is generally used. The gray scale distribution is a system program version distribution mode which can smoothly transit between black and white. Namely: and firstly, allowing one part of users to continue the old version A of the system program, prompting the other part of users to upgrade to the new version B, receiving the opinions fed back by the users aiming at the new version B, adjusting in time, and finally gradually expanding the updating range to realize all updating.
However, in the existing gray release process, a user who selects to preferentially push a new version is usually prompted based on an active user in the recent period of time, and timely and effective updating and adjustment of the gray version cannot be made according to the actual requirements of a user side, so that the feedback opinions lack pertinence, and therefore, the actual requirements of the user cannot be effectively met.
Disclosure of Invention
Therefore, the embodiment of the invention provides a method for determining a target user side in a gray scale release process, so as to solve the problem that in the prior art, the gray scale release for a system is not accurate enough, and timely and effective gray scale version updating and adjustment cannot be made according to the actual requirements of the user side, so that the user experience is poor.
In order to achieve the above object, the embodiments of the present invention provide the following technical solutions:
the embodiment of the invention provides a method for determining a target user side in a gray scale release process, which comprises the following steps: pre-arranging a buried point in a user side; acquiring first buried point data uploaded by the user side according to the detected first behavior event; and obtaining the use frequency of the user side according to the first buried point data, and if the use frequency reaches or exceeds a preset use frequency threshold value, determining the user side as a target user side needing to perform gray scale distribution.
Further, the method for determining the target user side in the gray scale publishing process further includes: classifying the application programs according to the difference of the function types of the application programs in the user side; obtaining the use frequency of the application programs with different function types, and determining the updating requirement of the user side according to the use frequency of the application programs with different function types; and matching the updating requirement of the user side with the pre-stored updating contents of different gray level versions to obtain a matching result, and determining a target gray level version pushed to the user side according to the matching result.
Further, the obtaining the use frequency of the application programs of different function types specifically includes: setting a buried point in the application program in advance; obtaining second buried point data uploaded by the user side according to the detected second behavior event; and obtaining the use frequency of the application programs with different function types according to the second buried point data.
Further, the method for determining the target user side in the gray scale publishing process further includes: the method comprises the steps that connection between a user side and associated equipment is built in advance, and updating demand information of the associated equipment for the user side is obtained based on the connection; and matching the updating demand information of the user side with the pre-stored updating contents of different gray versions by the associated equipment to obtain a matching result, and determining a target gray version pushed to the user side according to the matching result.
Further, the method for determining the target user side in the gray scale publishing process further includes: acquiring an abnormal problem list uploaded by a user through the user side; determining the actual updating requirement of the user side according to the abnormal problem list; and matching the actual updating demand with the pre-stored updating contents of different gray versions to obtain a matching result, and determining a target gray version pushed to the user side according to the matching result.
Further, the method for determining the target user side in the gray scale publishing process further includes: obtaining the endurance time of the user side, dividing the user side according to the difference of the endurance time, and obtaining the user side positioned in different preset endurance time thresholds; and respectively determining different activity judgment rules aiming at the user terminals located in different preset time thresholds, and judging target user terminals needing to perform gray scale distribution in the user terminals based on the activity judgment rules.
Further, the first buried point data includes: at least one of a current page identifier, a current behavior event identifier, a trigger time, and the user side identifier.
Correspondingly, the present application further provides a device for determining a target user end in a gray scale publishing process, including: a buried point data setting unit for setting buried points in the user side in advance; the embedded point data sending unit is used for acquiring first embedded point data uploaded by the user side according to the detected first behavior event; and the target user side determining unit is used for obtaining the use frequency of the user side according to the first buried point data, and if the use frequency reaches or exceeds a preset use frequency threshold value, determining the user side as a target user side needing to perform gray scale distribution.
Further, the device for determining the target user side in the gray scale publishing process further includes: the classification unit is used for classifying the application programs according to the function type difference of the application programs in the user side; the updating demand determining unit is used for obtaining the use frequency of the application programs with different function types and determining the updating demand of the user side according to the use frequency of the application programs with different function types; the first pushing unit is used for matching the updating requirement of the user side with the pre-stored updating contents of different gray level versions to obtain a matching result, and determining a target gray level version pushed to the user side according to the matching result.
Further, the update requirement determining unit is specifically configured to: setting a buried point in the application program in advance; obtaining second buried point data uploaded by the user side according to the detected second behavior event; and obtaining the use frequency of the application programs with different function types according to the second buried point data.
Further, the device for determining the target user side in the gray scale publishing process further includes: an update demand information obtaining unit, configured to pre-establish a connection between the user side and associated equipment, and obtain, based on the connection, update demand information of the associated equipment for the user side; and the second pushing unit is used for matching the updating demand information of the user side with the pre-stored updating contents of different gray versions by the associated equipment to obtain a matching result, and determining a target gray version pushed to the user side according to the matching result.
Further, the device for determining the target user side in the gray scale publishing process further includes: an abnormal problem list obtaining unit, configured to obtain an abnormal problem list uploaded by a user through the user side; an actual update demand determining unit, configured to determine an actual update demand of the user side according to the abnormal problem list; and the third pushing unit is used for matching the actual updating requirement with the pre-stored updating contents of different gray versions to obtain a matching result, and determining the target gray version pushed to the user side according to the matching result.
Further, the device for determining the target user side in the gray scale publishing process further includes: the dividing unit is used for obtaining the endurance time of the user side, dividing the user side according to the difference of the endurance time and obtaining the user side positioned in different preset endurance time thresholds; and the target user side determining unit is used for respectively determining different activity degree judging rules aiming at the user sides positioned in different preset time thresholds, and judging the target user side needing to perform gray scale distribution in the user sides based on the activity degree judging rules.
Further, the first buried point data includes: at least one of a current page identifier, a current behavior event identifier, a trigger time, and the user side identifier.
Correspondingly, an embodiment of the present invention further provides an electronic device, including: a processor and a memory; the storage is used for storing a program of a method for determining a target user end in a gray scale release process, and after the electronic device is powered on and runs the program of the method for determining the target user end in the gray scale release process through the processor, the method for determining the target user end in the gray scale release process is executed.
Accordingly, an embodiment of the present invention further provides a computer-readable storage medium, where the computer-readable storage medium contains one or more program instructions, where the one or more program instructions are used for a server to execute any one of the methods for determining a target user end in the gray scale publishing process.
By adopting the method for determining the target user terminal in the gray scale release process, the version demand information of the user terminal can be accurately acquired in a point burying mode, so that accurate gray scale release is realized, the pushed gray scale version is more targeted, and the use experience of a user is improved.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It should be apparent that the drawings in the following description are merely exemplary, and that other embodiments can be derived from the drawings provided by those of ordinary skill in the art without inventive effort.
Fig. 1 is a flowchart of a method for determining a target user end in a gray scale publishing process according to a first embodiment of the present invention;
fig. 2 is a schematic diagram of an apparatus for determining a target user end in a first gray scale publishing process according to an embodiment of the present invention;
fig. 3 is a schematic diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The present invention is described in terms of particular embodiments, other advantages and features of the invention will become apparent to those skilled in the art from the following disclosure, and it is to be understood that the described embodiments are merely exemplary of the invention and that it is not intended to limit the invention to the particular embodiments disclosed. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The invention mainly utilizes the embedded point mode to obtain the use frequency of a user terminal and determine the actual system updating requirement of the user terminal, thereby realizing the pushing or the releasing of the system version more pertinently.
The following describes an embodiment of the method for determining a target user side in a gray scale distribution process according to the present invention in detail. As shown in fig. 1, which is a flowchart of a method for determining a target user end in a gray scale publishing process according to an embodiment of the present invention, a specific implementation process includes the following steps:
step S101: and pre-arranging a buried point in the user terminal.
In the implementation process, the embedded points can be classified into a user-side embedded point, an H5 embedded point, a service-side embedded point and the like according to the occurrence positions of the behavior events.
The embodiment of the invention is mainly realized by setting the embedded point expansion of the user side, and the embedded point in the user side in advance can be realized by the following method: a preset code program is implanted in the user side, that is, a certain behavior event of the program in the user side is subjected to point burying, and in the process, the behavior event can be identified according to a preset rule, for example: and unique codes are set, so that the embedded point data uploaded by the user side can be identified conveniently in the follow-up process. Wherein the program includes at least one of a system program and an application program.
In addition, the user side can be mobile equipment such as a smart watch, a smart phone and a computer.
Step S102: and acquiring first buried point data uploaded by the user side according to the detected first behavior event.
After the buried point is set in the user side in advance in step S101, whether interaction occurs with the user can be determined by detecting a trigger condition of a corresponding behavior event (for example, an application program loads a certain page or triggers a certain application program on the user side) by the user side. The user triggers the preset code program as long as the user executes the behavior event through the user side, and the user side uploads first buried point data which is defined in the code program and aims at the behavior event. The first buried point data comprises at least one of a current page identifier, a current behavior event identifier, trigger time and the user side identifier.
Step S103: and obtaining the use frequency of the user side according to the first buried point data, and if the use frequency reaches or exceeds a preset use frequency threshold value, determining the user side as a target user side needing to perform gray scale distribution.
After the first embedded point data uploaded by the user terminal according to the detected first behavior event is obtained in step S102, the use frequency of the user terminal may be further obtained according to the first embedded point data, so as to determine a target user terminal that needs to perform gray scale distribution.
In the embodiment of the present invention, the grayscale version used for performing grayscale release for the user end includes multiple types, and different types of update contents also have differences, so that a more accurate grayscale version recommendation service needs to be implemented according to different requirements of the user end. The grayscale version may be stored in the server in advance.
In the implementation process of the invention, in order to provide personalized gray version recommendation service for users, the functions of the application programs and the system programs in the user side can be detected, and the application programs are classified according to the function type difference of the application programs in the user side to obtain the use frequency of the application programs with different function types; determining the updating requirement of the user side according to the use frequency of the application programs with different function types, further matching the updating requirement of the user side with the pre-stored updating contents of different gray level versions to obtain a matching result, and determining a target gray level version pushed to the user side according to the matching result.
For example: the user side comprises application programs with different function types such as sports, music and news, and if the situation that the user side is the application program with the sports function type with the highest use frequency in the past year is detected, the updating requirement of the user side is determined to be more biased to the fact that the gray scale version with the updated content exists for the application program with the sports function type, and therefore the gray scale version with the highest updating frequency for the application program with the sports function type can be pushed to the user side. At this time, the grayscale version with the most updated application program of the motion function type is the target grayscale version.
The obtaining of the use frequency of the application programs of different function types may be specifically implemented by: and setting a buried point in the application program in advance, acquiring second buried point data uploaded by the user side according to the detected second behavior event, and acquiring the use frequency of the application program with different function types according to the second buried point data. The second buried point data comprises at least one of current page identification and trigger time of the application program.
In order to realize effective data interaction between other associated equipment (such as earphones, a bracelet, a smart watch and the like) matched with a user side and the user side, the accurate function matching between the user side and the associated equipment is ensured, and a user with a demand preferentially carries out gray release prompt.
In the embodiment of the present invention, the connection between the user side and the associated device may be pre-established, and the update demand information of the associated device for the user side is obtained based on the connection; and matching the updating demand information of the user side with the pre-stored updating contents of different gray versions by the associated equipment to obtain a matching result, and determining a target gray version pushed to the user side according to the matching result. For example: if the user side is the smart phone, the user side can push the gray scale version of the updated content related to the wireless earphone to the user side when detecting that the wireless earphone is bound to the smart phone, so that different gray scale versions can be pushed according to different requirements. At this time, the grayscale version of the update content related to the wireless headset is the target grayscale version.
In addition, in order to collect statistics aiming at the problem of error reporting feedback uploaded by a user side, more targeted gray scale version recommendation is realized. In the embodiment of the present invention, an abnormal problem list uploaded by a user through the user side may also be obtained, an actual update demand of the user side is determined according to the abnormal problem list, the actual update demand is matched with the pre-stored update contents of different grayscale versions, a matching result is obtained, and a target grayscale version pushed to the user side is determined according to the matching result. At this time, the gray scale version having the updated content with the highest matching degree with the abnormal problem list is the target gray scale version. The abnormal problem list comprises a user end system program abnormal problem list, an application program abnormal problem list and the like.
It should be noted that, in an actual implementation process, due to differences in the endurance time corresponding to different types of clients, corresponding activity determination rules need to be predefined, specifically, the endurance time of the clients can be obtained by identifying the different types of clients, the clients are divided according to the differences in the endurance time to obtain the clients located within different preset endurance time thresholds, different activity determination rules are respectively determined for the clients located within the different preset endurance time thresholds, and a target client that needs to perform gray scale distribution in the clients is determined based on the usage frequency threshold.
For example: if the user side is the smart watch, a method of defining activity determination rules by the smart watch which lasts for 1 day and the smart watch which lasts for 30 days is taken as an example, because the user needs to perform charging operation every day, the user and the smart watch generate more interaction, so that the smart watch often detects more interactive behavior events frequently, and reports more corresponding first buried point data; the interaction between the user who has continued the journey for 30 days and the intelligent watch is less, so that the intelligent watch detects fewer behavior events of the interaction, and the reported corresponding first buried point data is less; therefore, different activity determination rules need to be predefined for the two types of smart watches, and the activity determination rule corresponding to the smart watch lasting for 1 day is preset as a (if there is interaction for more than 300 days in the last 1 year or more than 25 days in the last 30 days or there is interaction for more than 7 days in the last 30 days, the smart watch is determined to be a target smart watch needing to perform gray-scale distribution); and (3) presetting an activity judgment rule corresponding to the smart watch lasting for 30 days as B (if interaction exists in 10-15 days in the last 60 days or interaction exists in 1 day in the last 7 days, judging that the smart watch is a target smart watch needing gray-scale release). Wherein the usage frequency threshold may include at least one of 300 days of interaction, 25 days of interaction, 10-15 days of interaction, and 1 day of interaction, among 7 days, in 1 year. It should be noted that the activity determination rule and the usage frequency threshold are not limited to the cases listed in the above examples, and may be specifically set according to an actual scene, and are not described in detail here.
By adopting the method for determining the target user terminal in the gray scale release process, the version demand information of the user terminal can be accurately acquired in a point burying mode, so that accurate gray scale release is realized, the pushed gray scale version is more targeted, and the use experience of a user is improved.
Corresponding to the method for determining the target user side in the gray scale issuing process, the invention also provides a device for determining the target user side in the gray scale issuing process. Since the embodiment of the apparatus is similar to the above method embodiment, the description is relatively simple, and please refer to the description of the above method embodiment, and the following embodiment of the apparatus for determining the target user end in the gray scale publishing process is only schematic. Fig. 2 is a schematic diagram of an apparatus for determining a target user end in a gray scale publishing process according to an embodiment of the present invention.
The device for determining the target user side in the gray scale release process comprises the following parts:
the buried point data setting unit 201 is configured to set buried points in the user side in advance.
In the implementation process, the embedded points can be classified into a user-side embedded point, an H5 embedded point, a service-side embedded point and the like according to the occurrence positions of the behavior events.
The embodiment of the invention is mainly realized by setting the embedded point expansion of the user side, and the embedded point in the user side in advance can be realized by the following method: a preset code program is implanted in the user side, that is, a certain behavior event of the program in the user side is subjected to point burying, and in the process, the behavior event can be identified according to a preset rule, for example: and unique codes are set, so that the embedded point data uploaded by the user side can be identified conveniently in the follow-up process. Wherein the program includes at least one of a system program and an application program.
In addition, the user side can be mobile equipment such as a smart watch, a smart phone and a computer.
The buried point data sending unit 202 is configured to obtain first buried point data uploaded by the user side according to the detected first behavior event.
After the buried point data setting unit 201 sets the buried point in the user side in advance, the buried point data sending unit 202 may determine whether to interact with the user by detecting a trigger condition of a corresponding behavior event (for example, an application program loads a certain page or triggers a certain application program on the user side) by the user side. The user triggers the preset code program as long as the user executes the behavior event through the user side, and the user side uploads first buried point data which is defined in the code program and aims at the behavior event. The first buried point data comprises at least one of a current page identifier, a current behavior event identifier, trigger time and the user side identifier.
And the target user side determining unit 203 is configured to obtain the use frequency of the user side according to the first buried point data, and determine the user side as a target user side that needs to perform gray scale distribution if the use frequency reaches or exceeds a preset use frequency threshold.
In the embodiment of the present invention, the grayscale version used for performing grayscale release for the user end includes multiple types, and different types of update contents also have differences, so that a more accurate grayscale version recommendation service needs to be implemented according to different requirements of the user end. The grayscale version may be stored in the server in advance.
In the implementation process of the invention, in order to provide personalized gray version recommendation service for users, the functions of the application programs and the system programs in the user side can be detected, and the application programs are classified according to the function type difference of the application programs in the user side to obtain the use frequency of the application programs with different function types; determining the updating requirement of the user side according to the use frequency of the application programs with different function types, further matching the updating requirement of the user side with the pre-stored updating contents of different gray level versions to obtain a matching result, and determining a target gray level version pushed to the user side according to the matching result.
For example: the user side comprises application programs with different function types such as sports, music and news, and if the situation that the user side is the application program with the sports function type with the highest use frequency in the past year is detected, the updating requirement of the user side is determined to be more biased to the fact that the gray scale version with the updated content exists for the application program with the sports function type, and therefore the gray scale version with the highest updating frequency for the application program with the sports function type can be pushed to the user side. At this time, the grayscale version with the most updated application program of the motion function type is the target grayscale version.
The obtaining of the use frequency of the application programs of different function types may be specifically implemented by: and setting a buried point in the application program in advance, acquiring second buried point data uploaded by the user side according to the detected second behavior event, and acquiring the use frequency of the application program with different function types according to the second buried point data.
In order to realize effective data interaction between other associated equipment (such as earphones, a bracelet, a smart watch and the like) matched with a user side and the user side, the accurate function matching between the user side and the associated equipment is ensured, and a user with a demand preferentially carries out gray release prompt.
In the embodiment of the present invention, the connection between the user side and the associated device may be pre-established, and the update demand information of the associated device for the user side is obtained based on the connection; and matching the updating demand information of the user side with the pre-stored updating contents of different gray versions by the associated equipment to obtain a matching result, and determining a target gray version pushed to the user side according to the matching result. For example: if the user side is the smart phone, the user side can push the gray scale version of the updated content related to the wireless earphone to the user side when detecting that the wireless earphone is bound to the smart phone, so that different gray scale versions can be pushed according to different requirements. At this time, the grayscale version of the update content related to the wireless headset is the target grayscale version.
In addition, in order to collect statistics aiming at the problem of error reporting feedback uploaded by a user side, more targeted gray scale version recommendation is realized. In the embodiment of the present invention, an abnormal problem list uploaded by a user through the user side may also be obtained, an actual update demand of the user side is determined according to the abnormal problem list, the actual update demand is matched with the pre-stored update contents of different grayscale versions, a matching result is obtained, and a target grayscale version pushed to the user side is determined according to the matching result. At this time, the gray scale version having the updated content with the highest matching degree with the abnormal problem list is the target gray scale version. The abnormal problem list comprises a user end system program abnormal problem list, an application program abnormal problem list and the like.
It should be noted that, in an actual implementation process, due to differences in the endurance time corresponding to different types of clients, corresponding activity determination rules need to be predefined, specifically, the endurance time of the clients can be obtained by identifying the different types of clients, the clients are divided according to the differences in the endurance time to obtain the clients located within different preset endurance time thresholds, different activity determination rules are respectively determined for the clients located within the different preset endurance time thresholds, and a target client that needs to perform gray scale distribution in the clients is determined based on the usage frequency threshold.
For example: if the user side is the smart watch, a method of defining activity determination rules by the smart watch which lasts for 1 day and the smart watch which lasts for 30 days is taken as an example, because the user needs to perform charging operation every day, the user and the smart watch generate more interaction, so that the smart watch often detects more interactive behavior events frequently, and reports more corresponding first buried point data; the interaction between the user who has continued the journey for 30 days and the intelligent watch is less, so that the intelligent watch detects fewer behavior events of the interaction, and the reported corresponding first buried point data is less; therefore, different activity determination rules need to be predefined for the two types of smart watches, and the activity determination rule corresponding to the smart watch lasting for 1 day is preset as a (if there is interaction for more than 300 days in the last 1 year or more than 25 days in the last 30 days or there is interaction for more than 7 days in the last 30 days, the smart watch is determined to be a target smart watch needing to perform gray-scale distribution); and (3) presetting an activity judgment rule corresponding to the smart watch lasting for 30 days as B (if interaction exists in 10-15 days in the last 60 days or interaction exists in 1 day in the last 7 days, judging that the smart watch is a target smart watch needing gray-scale release). Wherein the usage frequency threshold may include at least one of 300 days of interaction, 25 days of interaction, 10-15 days of interaction, and 1 day of interaction, among 7 days, in 1 year. It should be noted that the activity determination rule and the usage frequency threshold are not limited to the cases listed in the above examples, and may be specifically set according to an actual scene, and are not described in detail here.
By adopting the device for determining the target user side in the gray scale release process, the version demand information of the user side can be accurately acquired in a point burying mode, so that accurate gray scale release is realized, the pushed gray scale version is more targeted, and the use experience of a user is improved.
Corresponding to the method for determining the target user side in the gray scale release process, the invention also provides electronic equipment. Since the embodiment of the electronic device is similar to the above method embodiment, the description is relatively simple, and please refer to the description of the above method embodiment, and the electronic device described below is only schematic. Fig. 3 is a schematic view of an electronic device according to an embodiment of the present invention.
The electronic device specifically includes: a processor 301 and a memory 302; the memory 302 is configured to run one or more program instructions, and is configured to store a program of a method for determining a target user end in a gray scale publishing process, and after the server is powered on and runs the program of the method for determining the target user end in the gray scale publishing process through the processor 301, the method for determining the target user end in the gray scale publishing process is performed. The electronic device of the present invention may be a server.
Corresponding to the method for determining the target user side in the gray scale release process, the invention also provides a computer storage medium. Since the embodiment of the computer storage medium is similar to the above method embodiment, the description is simple, and please refer to the description of the above method embodiment, and the computer storage medium described below is only schematic.
The computer storage medium contains one or more program instructions for executing the method for determining the target user terminal in the gray scale publishing process by the server.
In an embodiment of the invention, the processor or processor module may be an integrated circuit chip having signal processing capabilities. The Processor may be a general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component.
The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The processor reads the information in the storage medium and completes the steps of the method in combination with the hardware.
The storage medium may be a memory, for example, which may be volatile memory or nonvolatile memory, or which may include both volatile and nonvolatile memory.
The nonvolatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory.
The volatile Memory may be a Random Access Memory (RAM) which serves as an external cache. By way of example and not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (ddr Data Rate SDRAM), Enhanced SDRAM (ESDRAM), synclink DRAM (SLDRAM), and direct memory bus RAM (DRRAM).
The storage media described in connection with the embodiments of the invention are intended to comprise, without being limited to, these and any other suitable types of memory.
Those skilled in the art will appreciate that the functionality described in the present invention may be implemented in a combination of hardware and software in one or more of the examples described above. When software is applied, the corresponding functionality may be stored on or transmitted over as one or more instructions or code on a computer-readable medium. Computer-readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one place to another. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.
The above-mentioned embodiments, objects, technical solutions and advantages of the present invention are further described in detail, it should be understood that the above-mentioned embodiments are only exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made on the basis of the technical solutions of the present invention should be included in the scope of the present invention.
Claims (6)
1. A method for determining a target user side in a gray scale release process is characterized by comprising the following steps:
pre-arranging a buried point in a user side;
acquiring first buried point data uploaded by the user side according to the detected first behavior event;
obtaining the use frequency of the user side according to the first buried point data, and if the use frequency reaches or exceeds a preset use frequency threshold value, determining the user side as a target user side needing to perform gray scale distribution;
classifying the application programs according to the difference of the function types of the application programs in the user side;
obtaining the use frequency of the application programs with different function types, and determining the updating requirement of the user side according to the use frequency of the application programs with different function types;
matching the updating requirement of the user side with the pre-stored updating contents of different gray level versions to obtain a matching result, and determining a target gray level version pushed to the user side according to the matching result;
the obtaining the use frequency of the application programs of different function types specifically includes:
setting a buried point in the application program in advance;
acquiring second buried point data uploaded by the user side according to the detected second behavior event;
obtaining the use frequency of the application programs with different function types according to the second buried point data;
obtaining an abnormal problem list uploaded by a user through the user side, wherein the abnormal problem list comprises a user side system program abnormal problem list and an application program abnormal problem list;
determining the actual updating requirement of the user side according to the abnormal problem list;
matching the actual updating requirement with the pre-stored updating contents of different gray versions to obtain a matching result, and determining a target gray version pushed to the user side according to the matching result;
obtaining the endurance time of the user side, dividing the user side according to the difference of the endurance time, and obtaining the user side positioned in different preset endurance time thresholds;
and respectively determining different activity judgment rules aiming at the user terminals located in different preset time thresholds, and judging target user terminals needing to perform gray scale distribution in the user terminals based on the activity judgment rules.
2. The method for determining the target user end in the gray release process according to claim 1, further comprising:
the method comprises the steps that connection between a user side and associated equipment is built in advance, and updating demand information of the associated equipment for the user side is obtained based on the connection;
and matching the updating demand information of the user side with the pre-stored updating contents of different gray versions by the associated equipment to obtain a matching result, and determining a target gray version pushed to the user side according to the matching result.
3. The method for determining a target user end in the gray scale publishing process according to any one of claims 1-2, wherein the first buried point data comprises: at least one of a current page identifier, a current behavior event identifier, a trigger time, and the user side identifier.
4. An apparatus for determining a target user end in a gray release process, comprising:
a buried point data setting unit for setting buried points in the user side in advance;
the embedded point data sending unit is used for acquiring first embedded point data uploaded by the user side according to the detected first behavior event;
the target user side determining unit is used for obtaining the use frequency of the user side according to the first buried point data, and if the use frequency reaches or exceeds a preset use frequency threshold value, determining the user side as a target user side needing to perform gray scale distribution;
the target user side determining unit is also used for classifying the application programs according to the function type difference of the application programs in the user side;
obtaining the use frequency of the application programs with different function types, and determining the updating requirement of the user side according to the use frequency of the application programs with different function types;
matching the updating requirement of the user side with the pre-stored updating contents of different gray level versions to obtain a matching result, and determining a target gray level version pushed to the user side according to the matching result;
the obtaining the use frequency of the application programs of different function types specifically includes:
setting a buried point in the application program in advance;
acquiring second buried point data uploaded by the user side according to the detected second behavior event;
obtaining the use frequency of the application programs with different function types according to the second buried point data;
obtaining an abnormal problem list uploaded by a user through the user side, wherein the abnormal problem list comprises a user side system program abnormal problem list and an application program abnormal problem list;
determining the actual updating requirement of the user side according to the abnormal problem list;
matching the actual updating requirement with the pre-stored updating contents of different gray versions to obtain a matching result, and determining a target gray version pushed to the user side according to the matching result;
obtaining the endurance time of the user side, dividing the user side according to the difference of the endurance time, and obtaining the user side positioned in different preset endurance time thresholds;
and respectively determining different activity judgment rules aiming at the user terminals located in different preset time thresholds, and judging target user terminals needing to perform gray scale distribution in the user terminals based on the activity judgment rules.
5. An electronic device, comprising:
a processor; and
a memory for storing a program of a method for determining a target user end in a gray release process, wherein the electronic device executes the method for determining the target user end in the gray release process according to any one of claims 1 to 3 after being powered on and running the program of the method for determining the target user end in the gray release process through the processor.
6. A computer-readable storage medium, wherein the computer storage medium contains one or more program instructions for a server to execute the method for determining a target user side in a gray scale publishing process according to any one of claims 1-3.
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CN111290779B (en) * | 2020-03-04 | 2023-07-07 | 北京三快在线科技有限公司 | Gray release method and device, storage medium and electronic equipment |
CN111695032A (en) * | 2020-04-28 | 2020-09-22 | 平安科技(深圳)有限公司 | Method and device for recommending function based on user operation record |
CN112035155A (en) * | 2020-09-01 | 2020-12-04 | 平安付科技服务有限公司 | Version update management method and device, computer equipment and readable storage medium |
CN112162918B (en) * | 2020-09-07 | 2024-09-06 | 北京达佳互联信息技术有限公司 | Application program testing method and device and electronic equipment |
CN114282142A (en) * | 2021-12-20 | 2022-04-05 | 珠海格力电器股份有限公司 | Method for updating information of intelligent data point-burying pushing equipment |
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