CN113626289A - User activity monitoring method and device - Google Patents
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Abstract
The invention discloses a method and a device for monitoring user activity, which relate to the technical field of communication and are used for monitoring whether the daily active user number of an interface fluctuates and analyzing the reason of fluctuation under the condition of fluctuation, and the method comprises the following steps: determining a target interface with abnormal user access data; analyzing abnormal reasons corresponding to abnormal user access data of each target interface, wherein the abnormal reasons comprise actual factors and interference factors, the actual factors are data abnormality caused by influence of products, and the interference factors comprise: data exception caused by fault type reasons and data exception caused by non-fault type reasons; outputting the data exception reason corresponding to each target interface, eliminating part of target interfaces with data exception caused by interference factors, and making a coping strategy aiming at the part of target interfaces with data exception caused by actual factors. The embodiment of the invention is applied to a scene of monitoring whether the daily active user number of the interface fluctuates.
Description
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a method and an apparatus for monitoring user activity.
Background
With the continuous development of the mobile internet technology, various products (clients or web pages) are continuously released and updated in version, and the purpose is to improve the activity of users and increase the number of active users, so that the benefit of the products (clients or web pages) is maximized. Therefore, the change situation of the number of the daily active users of the concerned product at the required moment can be analyzed and corresponding summary can be made in time when the number of the daily active users rises; under the condition that the number of the daily active users is reduced, the reason that the number of the daily active users is reduced can be analyzed, and corresponding problem analysis is timely carried out and timely processed.
In the prior art, whether the number of active users in a day changes or not is determined by monitoring the number of user accesses and carrying out a same-ratio change or a ring-ratio change, which causes a high false alarm rate and cannot accurately determine a main interface causing the change of the number of active users in the day, so that when the number of active users in the day fluctuates, the specific reason why the number of active users in the day fluctuates cannot be accurately analyzed and determined, and an accurate processing decision cannot be made to deal with the abnormal fluctuation of the number of active users in the day.
Disclosure of Invention
The embodiment of the invention provides a method and a device for monitoring user activity, which are used for monitoring whether the daily active user number of an interface fluctuates and analyzing the reason of the fluctuation under the condition of the fluctuation.
In order to achieve the above purpose, the embodiment of the invention adopts the following technical scheme:
in a first aspect, a method for monitoring user activity is provided, where the method includes: determining a target interface with abnormal user access data; analyzing abnormal reasons corresponding to abnormal user access data of each target interface, wherein the abnormal reasons comprise actual factors and interference factors, the actual factors are data abnormality caused by influence of products, and the interference factors comprise: data exception caused by fault type reasons and data exception caused by non-fault type reasons; outputting the data exception reason corresponding to each target interface, eliminating part of target interfaces with data exception caused by interference factors, and making a coping strategy aiming at the part of target interfaces with data exception caused by actual factors.
In one possible implementation, the target interface for determining user access volume data exception includes: acquiring user access amount of a first interface in each unit time as basic data, and comparing the basic data with first parity data corresponding to the first interface to determine a first parity difference value; and under the condition that the first equivalence ratio difference value is greater than or equal to a preset threshold value, determining that the basic data corresponding to the first interface has a data abnormal condition, and determining the first interface as a target interface.
In one possible implementation manner, in a case that the first parity difference is greater than or equal to a preset threshold, the method for monitoring user activity further includes: under the condition that the first comparing difference is larger than or equal to a preset threshold value, acquiring user access amount of a second interface in each unit time as comparison data, wherein the second interface is an upstream interface or a downstream interface of the first interface; comparing the comparison data with second comparison data corresponding to a second interface to determine a second comparison difference value; and determining that the basic data corresponding to the first interface has no data abnormal condition under the condition that the second comparison difference value is larger than or equal to the preset threshold value, wherein the first interface is not the target interface.
In one possible implementation, a method for monitoring user activity further includes: determining that the basic data corresponding to the first interface has a data abnormal condition under the condition that the first geometric difference is larger than or equal to a preset threshold value and the second geometric difference is smaller than the preset threshold value; analyzing an abnormal reason corresponding to the user access quantity data abnormality of each target interface, wherein the abnormal reason comprises the following steps: filtering and eliminating interfaces with abnormal user access data caused by interference factors, and screening the interfaces with abnormal user access data caused by actual factors; the data exception caused by the fault class reason comprises at least one of the following items: data abnormity caused by abnormal operation of the client, data abnormity caused by abnormal operation of the server and data abnormity caused by abnormal network; the data exception caused by the non-fault class reason comprises at least one of the following items: data abnormality caused by holidays, data abnormality caused by hot news and data abnormality caused by operation activities.
In a second aspect, there is provided a user activity monitoring device, comprising: a determination unit, an analysis unit and a processing unit; the determining unit is used for determining a target interface with abnormal user access amount data; the analysis unit is used for analyzing abnormal reasons corresponding to the abnormal user access data of each target interface, the abnormal reasons comprise actual factors and interference factors, the actual factors are data abnormalities caused by product influence, and the interference factors comprise: data exception caused by fault type reasons and data exception caused by non-fault type reasons; and the processing unit is used for outputting the data exception reason corresponding to each target interface, eliminating part of target interfaces with data exception caused by interference factors, and making a coping strategy aiming at the part of target interfaces with data exception caused by actual factors.
In a third aspect, there is provided a computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computer, cause the computer to perform a method of user activity monitoring as in the first aspect.
In a fourth aspect, an electronic device includes: a processor and a memory; wherein the memory is used for storing one or more programs, the one or more programs comprising computer executable instructions, and the processor executes the computer executable instructions stored by the memory when the electronic device is running, so as to make the electronic device execute the user activity monitoring method according to the first aspect.
The embodiment of the invention provides a method and a device for monitoring user activity, which are applied to a scene of monitoring whether the daily active user number of interfaces fluctuates or not, firstly, the user access amount corresponding to all the interfaces is determined, whether the user access amount corresponding to each interface has a data abnormity condition or not is analyzed and determined, and the interface with abnormal user access amount data is determined as a target interface; further, specifically analyzing an abnormal reason corresponding to the user access amount data abnormality of each target interface to divide the interfaces with the user access amount data abnormality into two types: data abnormity caused by actual factors and data abnormity caused by interference factors, wherein the actual factors can be understood as the data abnormity caused by the influence of a product, and the interference factors can be understood as the data abnormity caused by fault reasons and the data abnormity caused by non-fault reasons; finally, the data abnormity reason corresponding to each target interface can be output, part of the target interfaces with abnormal data caused by interference factors are eliminated, and a coping strategy is made for the part of the target interfaces with abnormal data caused by actual factors, so that the condition that the number of active users per day of the interfaces fluctuates is effectively coped with, and the effect of monitoring the number of active users per day of the interfaces is improved.
Drawings
Fig. 1 is a schematic structural diagram of a user activity monitoring system according to an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a conventional method for monitoring user activity;
fig. 3 is a first flowchart illustrating a user activity monitoring method according to an embodiment of the present invention;
fig. 4 is a schematic module diagram of a user activity monitoring method according to an embodiment of the present invention;
fig. 5 is a schematic flow chart of a user activity monitoring method according to an embodiment of the present invention;
FIG. 6 is a first broken line diagram illustrating user activity monitoring data according to an embodiment of the present invention;
fig. 7 is a schematic flow chart of a user activity monitoring method according to an embodiment of the present invention;
FIG. 8 is a schematic view of a broken line of user activity monitoring data according to an embodiment of the present invention;
fig. 9 is a schematic flowchart of a user activity monitoring method according to a fourth embodiment of the present invention;
fig. 10 is a schematic flowchart of a user activity monitoring method according to an embodiment of the present invention;
fig. 11 is a first schematic structural diagram of a user activity monitoring apparatus according to an embodiment of the present invention;
fig. 12 is a schematic structural diagram of a user activity monitoring apparatus according to an embodiment of the present invention;
fig. 13 is a first schematic structural diagram of an electronic device according to an embodiment of the present invention;
fig. 14 is a schematic structural diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be described below with reference to the drawings in the embodiments of the present invention.
In the description of the present invention, "/" means "or" unless otherwise specified, for example, a/B may mean a or B. "and/or" herein is merely an association describing an associated object, and means that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. Further, "at least one" or "a plurality" means two or more. The terms "first", "second", and the like do not necessarily limit the number and execution order, and the terms "first", "second", and the like do not necessarily limit the difference.
The user activity monitoring method provided by the embodiment of the invention can be suitable for a user activity monitoring system. Fig. 1 shows a schematic structural diagram of the user activity monitoring system. As shown in fig. 1, a user activity monitoring system 10 includes an electronic device 11 and a server 12. The electronic device 11 is connected to the server 12. The electronic device 11 and the server 12 may be connected by a wired method or a wireless method, which is not limited in the embodiment of the present invention.
The electronic device 11 may be used for the internet of things, and the electronic device 11 may include hardware such as a plurality of Central Processing Units (CPUs), a plurality of memories, and a storage device storing a plurality of operating systems.
The electronic device 11 may be configured to perform instruction or data interaction with the server 12, for example, the electronic device 11 may obtain the instruction or data sent by the server 12, further execute the instruction sent by the server 12, or store the data sent by the server 12.
The server 12 may also be used for the internet of things for sending instructions or data to the electronic device 11.
It should be noted that the electronic device 11 and the server 12 may be independent devices or may be integrated in the same device, and the present invention is not limited to this.
When the electronic device 11 and the server 12 are integrated in the same device, the communication mode between the electronic device 11 and the server 12 is the communication between the internal modules of the device. In this case, the communication flow between the two is the same as "the communication flow between the electronic device 11 and the server 12 is independent of each other".
In the following embodiments provided by the present invention, the present invention is described by taking an example in which the electronic device 11 and the server 12 are set independently of each other.
In the prior art, the change condition of the number of active users on the day is mostly determined based on simple data concordance, a large number of false alarm rates exist, the fluctuation reasons cannot be analyzed, and the normal fluctuation condition cannot be screened out. As shown in fig. 2, the current day active user number monitoring is only fluctuation monitoring by the hour level user access number parity or ring ratio. For example: the number of the user visits in the current hour is 9 thousands, the number of the user visits in the same hour of the last week is 8 thousands, the fluctuation threshold is set to be 10%, the same-ratio fluctuation is larger than 10%, and an alarm is triggered.
The prior art has the defects of high false alarm rate, incapability of eliminating the fluctuation of the number of user accesses caused by factors such as natural fluctuation, real-time hot spots, network equipment faults, holidays and the like. For example, when comparing the data of the last friday, if the current friday is a legal holiday, the comparison in this case is highly likely to be false alarm of fluctuation of the number of active users. And the main daily active user number fluctuation interface cannot be found out according to the upstream and downstream interface relation of the interface. For example, if the child interface is affected by the parent interface and fluctuates, it is not necessary that both interfaces alarm.
The daily activity of the user is a beating heart for the product, the change situation of the user is concerned at any time, and the daily activity plays an important guiding role in the value of the product; by monitoring the rising condition of the number of active users on a day, further positioning, repairing if the users are caused by faults, tracking the hot spots in time if the users are hot spots, evaluating the activity effect if the users are caused by product activities, and summarizing the optimization experience to continue iteration if the users are caused by product optimization; and monitoring the reduction condition of the number of the daily active users, further analyzing that the failure causes timely repair and loss stopping, and quickly making a product optimization and operation activity scheme if the failure causes natural falling.
A method for monitoring user activity according to an embodiment of the present invention is described below with reference to the accompanying drawings.
As shown in fig. 3, the method for monitoring user activity according to the embodiment of the present invention is applied to an electronic device including a plurality of memories and a plurality of CPUs, and includes: S201-S203:
s201, the electronic equipment determines a target interface with abnormal user access data.
As a possible implementation manner, the electronic device monitors, in real time, a user access amount in a unit time corresponding to each interface in a preset manner, where each interface may be any one of the following: web page interfaces, product terminal interfaces, application program interfaces, etc.
As a possible implementation manner, after the electronic device detects the user access amount in the unit time corresponding to each interface, the electronic device may detect the data, so as to filter out the user access amount with abnormal data from all the data centers, and determine a target interface corresponding to the user access amount with abnormal data.
S202, the electronic equipment analyzes the abnormal reason corresponding to the abnormal user access data of each target interface.
Wherein, unusual reason includes actual factor and interference factor, and the data that actual factor leads to for the product influence is unusual, and the interference factor includes: data anomalies due to faulty and non-faulty causes.
As a possible implementation manner, after the electronic device determines a target interface corresponding to the user access amount of the data abnormality, the electronic device may further analyze a cause of the data abnormality of the user access amount of the target interface, and timely adopt a corresponding policy to adjust the target interface.
It should be noted that, during the long-time operation of the device or the network, the user access amount data of some interfaces is abnormal due to uncertain factors (influence of the product), which may be referred to as actual factors, such as that competing products attract users to cause the user access amount of the interfaces of the product to decrease.
The other part of the data, which causes the user access amount of the interface to be abnormal, can be called as an interference factor, for example, the user cannot access the interface due to equipment failure or network failure, so that the user access amount of the interface of the product is reduced, and these factors can be understood as unavoidable factors, which are called as failure-type reasons; or the factors of user loss caused by holidays, user reduction caused by insufficient operation activity spots and the like can be called as non-fault reasons, and the reasons can be timely repaired or improved, so that fluctuation of user access amount is eliminated.
S203, the electronic equipment outputs the data abnormity reason corresponding to each target interface, eliminates part of target interfaces with data abnormity caused by interference factors, and makes a coping strategy aiming at the part of target interfaces with data abnormity caused by actual factors.
As a possible implementation manner, after the electronic device analyzes and determines the anomaly reason corresponding to the user access amount data anomaly of each target interface, the electronic device may output the data anomaly reason of each target interface for a user (a holder of a product corresponding to the interface) to view.
As a possible implementation manner, the electronic device may further analyze the reason for the data abnormality corresponding to each target interface to classify the target interfaces according to the reason for the data abnormality, so as to determine whether the data abnormality corresponding to the target interface is caused by an actual factor or an interference factor.
As a possible implementation manner, the electronic device may exclude a part of the target interface with data exception caused by the interference factor, where the data exception caused by the interference factor in the part of the target interface may eliminate the data exception of the user access amount over time, and recover the normal user access amount.
As a possible implementation manner, the electronic device may further formulate a corresponding coping strategy for a target interface with data abnormality caused by actual factors, for example, data abnormality caused by product influence, may perform version update iteration on a product in time, or develop a new module to add into a product, and attract a user through various activities, thereby coping with fluctuations in user access volume.
As a possible implementation manner, referring to fig. 4, the module architecture diagram provided in the embodiment of the present application specifically includes a data acquisition module: basic data, monitoring data, operation data and iteration data; a recall analysis module: a data standardization analysis layer, a recall layer and an analysis layer; a result processing module: a handle layer and a storage layer.
In the embodiment of the invention, the daily activity of the user is a beating heart for the product, a developer (user) needs to pay attention to the change condition of the daily activity of the user all the time, and when monitoring the increase of the number of the daily active users, whether the change condition is caused by faults or not can be timely positioned so as to carry out timely repair and restore accurate monitoring; if the event is caused by the hot event, the event is followed in time, and the monitoring of the user activity is enhanced; if the official activity results, evaluating the activity effect in time; if the product version optimization results, the summary experience prepares for the next version iteration. When the number of daily active users is monitored to be reduced, whether the users are caused by equipment failure or network failure can be further analyzed so as to carry out timely repair; and if the natural factors cause the problems, quickly making a product optimization and operation activity scheme. Therefore, whether the user access data is abnormal or not can be effectively monitored.
In one design, in order to initially obtain an interface where user access amount data is abnormal, as shown in fig. 5, S201 provided in the embodiment of the present invention may specifically include the following S301 to S302.
S301, the electronic equipment obtains user access amount of the first interface in each unit time as basic data, and compares the basic data with first comparation data corresponding to the first interface to determine a first comparation difference value.
As a possible implementation manner, in order to screen out the interfaces with the user access amount data abnormality from all the interfaces, a base filter layer may be defined to filter out the interfaces with the data abnormality from all the interfaces through the base filter layer.
As a possible implementation manner, as shown in fig. 6, by obtaining the number of user accesses of the first interface in a unit time (for example, one hour) on the current day and making a trend graph from the data of the same ratio (that is, the data of the same time on the same day in the last several weeks is taken as a reference line), and comparing the trend graph, the data determined that the difference exceeds the preset threshold is abnormal data.
As a possible implementation manner, the first interface is any one of all interfaces, and the first parity data corresponding to the first interface is: in the past time, the user access amount of the first interface in unit time, for example, the basic data is data corresponding to 19 days of 24 months, and the first parity data may be data corresponding to 19 days of 24 months.
It should be noted that, this step is illustrated by taking one interface as an example, and similarly, any interface in all interfaces may be implemented by the exemplary description of the present invention.
S302, when the first homological difference is larger than or equal to a preset threshold value, the electronic equipment determines that basic data corresponding to the first interface has a data abnormal condition, and determines the first interface as a target interface.
As a possible implementation manner, a difference value between the user access amount (i.e., the basic data) of the first interface in unit time and the corresponding data of the same ratio (i.e., the first data of the same ratio) is determined, and whether the difference value exceeds a preset threshold value is determined, so as to determine whether the basic data corresponding to the first interface is abnormal data.
In the embodiment of the invention, the electronic device may acquire the user access amount of the first interface in each unit time as the basic data, and acquire the first comparation data corresponding to the first interface in the past time, so as to compare the basic data with the first comparation data to determine a first comparation difference value, and judge the first comparation difference value through a preset threshold, so as to determine that the basic data corresponding to the first interface has a data abnormality under the condition that the first comparation difference value is greater than or equal to the preset threshold, thereby accurately screening out a target interface with data abnormality.
In one design, in order to accurately determine an interface where user access amount data is abnormal, as shown in fig. 7, when the first parity difference is greater than or equal to a preset threshold, the method for monitoring user activity according to the embodiment of the present invention may further include the following steps S401 to S403.
S401, under the condition that the first comparing difference value is larger than or equal to a preset threshold value, the electronic equipment acquires the user access amount of the second interface in each unit time as comparison data.
The second interface is an upstream interface or a downstream interface of the first interface.
As a possible implementation manner, referring to fig. 8, when it is determined that the first equivalence ratio difference corresponding to the first interface is greater than or equal to the preset threshold, data (i.e., comparison data) corresponding to the upstream and downstream interfaces (i.e., the second interface) of the first interface may be obtained, and if the data corresponding to the upstream and downstream interfaces have the same trend, the data fluctuation of the first interface is considered to be a normal phenomenon.
S402, the electronic equipment compares the comparison data with second comparison data corresponding to the second interface to determine a second comparison difference value.
As a possible implementation manner, the electronic device may obtain the user access amount (i.e., the comparison data) of the second interface in a unit time, and obtain second comparation data corresponding to the second interface (i.e., the user access amount in the corresponding comparation time), so as to perform comparison to determine a second comparation difference value.
As a possible implementation manner, when a second geometric difference of the second interface in the same time also exceeds a preset threshold, it is determined that the data fluctuation of the first interface is a normal phenomenon.
And S403, when the second comparison difference is larger than or equal to the preset threshold, the electronic equipment determines that the basic data corresponding to the first interface has no data abnormal condition, and the first interface is not the target interface.
As a possible implementation manner, when both the second similarity difference corresponding to the second interface and the first similarity difference corresponding to the first interface are greater than or equal to the preset threshold, it may be determined that there is no abnormality in the basic data corresponding to the first interface.
As a possible implementation manner, when the first geometric proportion difference corresponding to the first interface is greater than or equal to the preset threshold and the second geometric proportion difference corresponding to the second interface is smaller than the preset threshold, it is determined that the basic data corresponding to the first interface is abnormal, so as to perform further analysis and judgment.
In the embodiment of the present invention, when it is determined that the first similarity difference is greater than or equal to the preset threshold, in order to accurately determine whether data abnormality exists in the user access amount data of the first interface, the electronic device may obtain, as the comparison data, the user access amount of the second interface upstream and downstream of the first interface in each unit time, and compare the comparison data with the second similarity data corresponding to the second interface to determine the second similarity difference, so that the electronic device may determine that the basic data corresponding to the first interface does not have the data abnormality when the second similarity difference is greater than or equal to the preset threshold, and determine that the basic data corresponding to the first interface has the data abnormality when the second similarity difference is less than the preset threshold.
In one design, in order to determine a reason why the user access amount data of the interface has an abnormality, as shown in fig. 9, the method for monitoring user activity according to the embodiment of the present invention may specifically include the following S501, and the S202 according to the embodiment of the present invention may specifically include the following S502.
S501, when the first geometric proportion difference value is larger than or equal to a preset threshold value and the second geometric proportion difference value is smaller than the preset threshold value, the electronic equipment determines that the basic data corresponding to the first interface has a data abnormal condition.
As a possible implementation manner, in order to determine an interface with an abnormal user access amount data more accurately, the user access amount of a second interface upstream and downstream of a first interface may be analyzed simultaneously, so that whether the user access amount data of the first interface has an abnormal state may be determined more accurately.
S502, the electronic equipment filters and eliminates the interfaces with abnormal user access data caused by interference factors, and screens out the interfaces with abnormal user access data caused by actual factors.
The data exception caused by the fault type reason comprises at least one of the following items: data abnormity caused by abnormal operation of the client, data abnormity caused by abnormal operation of the server and data abnormity caused by abnormal network; the data exception caused by the non-fault class reason comprises at least one of the following items: data abnormality caused by holidays, data abnormality caused by hot news and data abnormality caused by operation activities.
As a possible implementation manner, an influence factor model filter layer can be defined to filter out the interface causing data exception due to interference factors.
As a possible implementation mode, the core purpose of monitoring the daily activity user number is to judge whether the value of a product can guide a user to use, when the daily activity user number fluctuates, the analysis of the product value is the core, and the fluctuation caused by other factors has no great guidance value, so that the reason of the daily activity user number fluctuation needs to be accurately judged.
As a possible implementation manner, when the user access amount data of the interface is judged to be abnormal, whether the data is abnormal due to a fault type reason is judged, filtering needs to be performed through a fault condition, and a plurality of fault discrimination models are called iteratively to determine a specific reason of the interface data abnormality.
As a possible implementation manner, whether data abnormality is caused by non-fault reasons or not is judged, filtering is carried out through non-fault conditions, a plurality of non-fault discrimination models are called in an iterative mode, and the specific reasons of the interface data abnormality are determined.
As one possible implementation manner, the present invention is described in detail by a more specific flow in the figure with reference to fig. 10, and specifically may include a base filter layer and an influence factor model filter layer, wherein the influence factor model filter layer includes a fault filtering model and a non-fault filtering model.
In the embodiment of the invention, the interface with abnormal user access amount is filtered by defining the basic filter layer, and the interface with abnormal user access amount caused by interference factors is filtered and excluded by defining the influence factor model filter layer. Therefore, when the number of daily active users is monitored to increase or decrease, specific reasons are further positioned, and a corresponding coping strategy is made.
The embodiment of the invention provides a method and a device for monitoring user activity, which are applied to a scene of monitoring whether the daily active user number of interfaces fluctuates or not, firstly, the user access amount corresponding to all the interfaces is determined, whether the user access amount corresponding to each interface has a data abnormity condition or not is analyzed and determined, and the interface with abnormal user access amount data is determined as a target interface; further, specifically analyzing an abnormal reason corresponding to the user access amount data abnormality of each target interface to divide the interfaces with the user access amount data abnormality into two types: data abnormity caused by actual factors and data abnormity caused by interference factors, wherein the actual factors can be understood as the data abnormity caused by the influence of a product, and the interference factors can be understood as the data abnormity caused by fault reasons and the data abnormity caused by non-fault reasons; finally, the data abnormity reason corresponding to each target interface can be output, part of the target interfaces with abnormal data caused by interference factors are eliminated, and a coping strategy is made for the part of the target interfaces with abnormal data caused by actual factors, so that the condition that the number of active users per day of the interfaces fluctuates is effectively coped with, and the effect of monitoring the number of active users per day of the interfaces is improved.
The scheme provided by the embodiment of the invention is mainly introduced from the perspective of a method. To implement the above functions, it includes hardware structures and/or software modules for performing the respective functions. Those of skill in the art will readily appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as hardware or combinations of hardware and computer software. Whether a function is performed as hardware or computer software drives hardware depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The embodiment of the present invention may perform the division of the function modules for a user activity monitoring apparatus according to the above method example, for example, each function module may be divided corresponding to each function, or two or more functions may be integrated into one processing module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. Optionally, the division of the modules in the embodiment of the present invention is schematic, and is only a logic function division, and there may be another division manner in actual implementation.
Fig. 11 is a schematic structural diagram of a user activity monitoring apparatus according to an embodiment of the present invention. As shown in fig. 11, a user activity monitoring apparatus 50 is used for monitoring whether the daily active user number of the interface fluctuates and analyzing the reason for the fluctuation in the case of the fluctuation, for example, for executing a user activity monitoring method shown in fig. 3. The user activity monitoring apparatus 50 includes: a determination unit 501, an analysis unit 502 and a processing unit 503.
A determining unit 501, configured to determine a target interface where the user access amount data is abnormal. For example, as shown in fig. 3, the determination unit 501 may be configured to execute S201.
The analysis unit 502 is configured to analyze an abnormal reason corresponding to the abnormal user access amount data of each target interface, where the abnormal reason includes an actual factor and an interference factor, the actual factor is a data abnormality caused by product influence, and the interference factor includes: data anomalies due to faulty and non-faulty causes. For example, as shown in fig. 3, the analysis unit 502 may be configured to perform S202.
The processing unit 503 is configured to output a data exception reason corresponding to each target interface, exclude a part of the target interfaces with data exception caused by an interference factor, and make a countermeasure for the part of the target interfaces with data exception caused by an actual factor. For example, as shown in fig. 3, the processing unit 503 may be configured to execute S203.
Optionally, with reference to fig. 11 and as shown in fig. 12, the user activity monitoring apparatus 50 according to the embodiment of the present invention further includes: an acquisition unit 504.
The obtaining unit 504 is configured to obtain a user access amount of the first interface in each unit time as basic data, and compare the basic data with first parity data corresponding to the first interface to determine a first parity difference value. For example, as shown in fig. 5, the obtaining unit 504 may be configured to execute S301.
The determining unit 501 is specifically configured to determine that there is a data exception condition in the basic data corresponding to the first interface and determine the first interface as the target interface when the first parity difference is greater than or equal to the preset threshold. For example, as shown in fig. 5, the determination unit 501 may be configured to execute S302.
Optionally, as shown in fig. 12, the obtaining unit 504 according to the embodiment of the present invention is further configured to obtain, as the comparison data, the user access amount of the second interface in each unit time when the first comparison difference is greater than or equal to the preset threshold, where the second interface is an upstream interface or a downstream interface of the first interface. For example, as shown in fig. 7, the obtaining unit 504 may be configured to execute S401.
The determining unit 501 is further configured to compare the comparison data with second comparison data corresponding to the second interface to determine a second comparison difference. For example, as shown in fig. 7, the determining unit 501 may be configured to execute S402.
The determining unit 501 is further configured to determine that, when the second comparison difference is greater than or equal to the preset threshold, there is no data exception condition in the basic data corresponding to the first interface, and the first interface is not a target interface. For example, as shown in fig. 7, the determination unit 501 may be configured to perform S403.
Optionally, as shown in fig. 12, the determining unit 501 provided in the embodiment of the present invention is further configured to determine that there is a data exception condition in the basic data corresponding to the first interface when the first parity difference is greater than or equal to the preset threshold and the second parity difference is smaller than the preset threshold. For example, as shown in fig. 9, the determination unit 501 may be configured to perform S501.
The analysis unit 502 is specifically configured to filter and exclude an interface where the user access amount data is abnormal due to an interference factor, and screen out an interface where the user access amount data is abnormal due to an actual factor; the data exception caused by the fault class reason comprises at least one of the following items: data abnormity caused by abnormal operation of the client, data abnormity caused by abnormal operation of the server and data abnormity caused by abnormal network; the data exception caused by the non-fault class reason comprises at least one of the following items: data abnormality caused by holidays, data abnormality caused by hot news and data abnormality caused by operation activities. For example, as shown in fig. 9, the analysis unit 502 may be configured to perform S502.
In the case of implementing the functions of the integrated modules in the form of hardware, the embodiment of the present invention provides another possible structural schematic diagram of the electronic device related to the above embodiment. As shown in FIG. 13, an electronic device 60 for efficiently evaluating a product for iterative updates, where adjustments to the content of the product result in changes in the activity of the product, is provided, for example, for performing a user activity monitoring method as shown in FIG. 3. The electronic device 60 includes a processor 601, a memory 602, and a bus 603. The processor 601 and the memory 602 may be connected by a bus 603.
The processor 601 is a control center of the communication apparatus, and may be a single processor or a collective term for a plurality of processing elements. For example, the processor 601 may be a Central Processing Unit (CPU), other general-purpose processors, or the like. Wherein a general purpose processor may be a microprocessor or any conventional processor or the like.
For one embodiment, processor 601 may include one or more CPUs, such as CPU 0 and CPU 1 shown in FIG. 7.
The memory 602 may be, but is not limited to, a read-only memory (ROM) or other type of static storage device that may store static information and instructions, a Random Access Memory (RAM) or other type of dynamic storage device that may store information and instructions, an electrically erasable programmable read-only memory (EEPROM), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
As a possible implementation, the memory 602 may be present separately from the processor 601, and the memory 602 may be connected to the processor 601 via a bus 603 for storing instructions or program code. The processor 601 calls and executes the instructions or program codes stored in the memory 602, so as to implement the user activity monitoring method provided by the embodiment of the invention.
In another possible implementation, the memory 602 may also be integrated with the processor 601.
The bus 603 may be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, an Extended ISA (EISA) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 13, but this is not intended to represent only one bus or type of bus.
It is to be noted that the structure shown in fig. 13 does not constitute a limitation of the electronic apparatus 60. In addition to the components shown in fig. 13, the electronic device 60 may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.
As an example, in connection with fig. 11, the determining unit 501, the analyzing unit 502 and the processing unit 503 in the electronic device implement the same functions as the processor 601 in fig. 13.
Optionally, as shown in fig. 13, the electronic device 60 provided in the embodiment of the present invention may further include a communication interface 604.
A communication interface 604 for connecting with other devices via a communication network. The communication network may be an ethernet network, a radio access network, a Wireless Local Area Network (WLAN), etc. The communication interface 604 may include a receiving unit for receiving data and a transmitting unit for transmitting data.
In one design, in the electronic device provided by the embodiment of the present invention, the communication interface may be further integrated in the processor.
Fig. 14 shows another hardware configuration of the electronic apparatus in the embodiment of the present invention. As shown in fig. 14, the electronic device 80 may include a processor 801, a communication interface 802, a memory 803, and a bus 804. The processor 801 is coupled to a communication interface 802 and a memory 803.
The functions of the processor 801 may refer to the description of the processor 601 above. The processor 801 also has a memory function, and the function of the memory 602 can be referred to.
The communication interface 802 is used to provide data to the processor 801. The communication interface 802 may be an internal interface of the communication device, or may be an external interface of the communication device (corresponding to the communication interface 604).
It is noted that the configuration shown in fig. 8 does not constitute a limitation of the electronic device 80, and that the electronic device 80 may include more or less components than those shown in fig. 14, or some components may be combined, or a different arrangement of components may be provided, in addition to those shown in fig. 14.
Through the above description of the embodiments, it is clear for a person skilled in the art that, for convenience and simplicity of description, only the division of the above functional units is illustrated. In practical applications, the above function allocation can be performed by different functional units according to needs, that is, the internal structure of the device is divided into different functional units to perform all or part of the above described functions. For the specific working processes of the system, the apparatus and the unit described above, reference may be made to the corresponding processes in the foregoing method embodiments, and details are not described here again.
The embodiment of the present invention further provides a computer-readable storage medium, where instructions are stored in the computer-readable storage medium, and when the instructions are executed by a computer, the computer executes each step in the method flow shown in the above method embodiment.
Embodiments of the present invention provide a computer program product comprising instructions which, when run on a computer, cause the computer to perform a method of user activity monitoring in the above method embodiments.
The computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, and a hard disk. Random Access Memory (RAM), Read-Only Memory (ROM), Erasable Programmable Read-Only Memory (EPROM), registers, a hard disk, an optical fiber, a portable Compact disk Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any other form of computer-readable storage medium, in any suitable combination, or as appropriate in the art. An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuit (ASIC). In embodiments of the invention, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
Since the electronic device, the computer-readable storage medium, and the computer program product in the embodiments of the present invention may be applied to the method described above, for technical effects obtained by the method, reference may also be made to the method embodiments described above, and details of the embodiments of the present invention are not repeated herein.
The above description is only an embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions within the technical scope of the present invention are intended to be covered by the scope of the present invention.
Claims (10)
1. A user activity monitoring method is applied to electronic equipment and is characterized by comprising the following steps:
determining a target interface with abnormal user access data;
analyzing abnormal reasons corresponding to abnormal user access data of each target interface, wherein the abnormal reasons comprise actual factors and interference factors, the actual factors are data abnormalities caused by influence of products, and the interference factors comprise: data exception caused by fault type reasons and data exception caused by non-fault type reasons;
outputting the data exception reason corresponding to each target interface, eliminating part of target interfaces with data exception caused by the interference factors, and making a coping strategy aiming at the part of target interfaces with data exception caused by the actual factors.
2. The method of claim 1, wherein the determining the target interface for the user access volume data anomaly comprises:
the method comprises the steps of obtaining user access amount of a first interface in each unit time as basic data, and comparing the basic data with first comparation data corresponding to the first interface to determine a first comparation difference value;
and determining that the basic data corresponding to the first interface has a data abnormal condition and determining the first interface as a target interface when the first equivalence ratio difference is larger than or equal to a preset threshold value.
3. The method of claim 2, wherein in the case that the first parity difference is greater than or equal to the preset threshold, the method for monitoring user activity further comprises:
under the condition that the first comparing difference is larger than or equal to the preset threshold, acquiring user access amount of a second interface in each unit time as comparison data, wherein the second interface is an upstream interface or a downstream interface of the first interface;
comparing the comparison data with second comparison data corresponding to the second interface to determine a second comparison difference value;
and determining that the basic data corresponding to the first interface has no data abnormal condition when the second comparison difference value is greater than or equal to the preset threshold value, wherein the first interface is not a target interface.
4. The method of claim 3, wherein the user activity monitoring method further comprises:
determining that the basic data corresponding to the first interface has a data abnormal condition under the condition that the first comparison difference value is greater than or equal to the preset threshold value and the second comparison difference value is smaller than the preset threshold value;
the analyzing of the abnormal reason corresponding to the abnormal user access data of each target interface comprises:
filtering out the interface with the abnormal user access data caused by the interference factor, and screening out the interface with the abnormal user access data caused by the actual factor; the data exception caused by the fault class reason comprises at least one of the following items: data abnormity caused by abnormal operation of the client, data abnormity caused by abnormal operation of the server and data abnormity caused by abnormal network; the data exception caused by the non-fault class reason comprises at least one of the following items: data abnormality caused by holidays, data abnormality caused by hot news and data abnormality caused by operation activities.
5. A user activity monitoring device, comprising: a determination unit, an analysis unit and a processing unit;
the determining unit is used for determining a target interface with abnormal user access amount data;
the analysis unit is configured to analyze an abnormal reason corresponding to the abnormal user access amount data of each target interface, where the abnormal reason includes an actual factor and an interference factor, the actual factor is a data abnormality caused by a product influence, and the interference factor includes: data exception caused by fault type reasons and data exception caused by non-fault type reasons;
the processing unit is used for outputting the data exception reason corresponding to each target interface, eliminating part of target interfaces with data exception caused by the interference factors, and making a coping strategy aiming at the part of target interfaces with data exception caused by the actual factors.
6. A user activity monitoring device according to claim 5, further comprising: an acquisition unit;
the acquisition unit is used for acquiring the user access amount of a first interface in each unit time as basic data, and comparing the basic data with first comparation data corresponding to the first interface to determine a first comparation difference value;
the determining unit is specifically configured to determine that the basic data corresponding to the first interface has a data abnormal condition and determine the first interface as a target interface when the first parity difference is greater than or equal to a preset threshold.
7. The user activity monitoring device according to claim 6, wherein the obtaining unit is further configured to obtain, as the comparison data, a user access amount per unit time of a second interface, where the first comparison difference is greater than or equal to the preset threshold, where the second interface is an upstream interface or a downstream interface of the first interface;
the determining unit is further configured to compare the comparison data with second comparison data corresponding to the second interface to determine a second comparison difference;
the determining unit is further configured to determine that the basic data corresponding to the first interface has no data exception condition when the second comparison difference is greater than or equal to the preset threshold, and the first interface is not a target interface.
8. The user activity monitoring device according to claim 7, wherein the determining unit is further configured to determine that there is a data abnormality in the basic data corresponding to the first interface when the first geometric difference is greater than or equal to the preset threshold and the second geometric difference is smaller than the preset threshold;
the analysis unit is specifically configured to filter and exclude an interface where the user access amount data is abnormal due to the interference factor, and screen out an interface where the user access amount data is abnormal due to the actual factor; the data exception caused by the fault class reason comprises at least one of the following items: data abnormity caused by abnormal operation of the client, data abnormity caused by abnormal operation of the server and data abnormity caused by abnormal network; the data exception caused by the non-fault class reason comprises at least one of the following items: data abnormality caused by holidays, data abnormality caused by hot news and data abnormality caused by operation activities.
9. A computer readable storage medium storing one or more programs, the one or more programs comprising instructions, which when executed by a computer, cause the computer to perform a user activity monitoring method as claimed in any one of claims 1-4.
10. An electronic device, comprising: a processor and a memory; wherein the memory is configured to store one or more programs, the one or more programs including computer-executable instructions, which when executed by the electronic device, cause the electronic device to perform a user activity monitoring method as recited in any one of claims 1-4.
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