CN107205019A - User behavior data method for cleaning and device - Google Patents
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- CN107205019A CN107205019A CN201710308503.9A CN201710308503A CN107205019A CN 107205019 A CN107205019 A CN 107205019A CN 201710308503 A CN201710308503 A CN 201710308503A CN 107205019 A CN107205019 A CN 107205019A
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- H—ELECTRICITY
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Abstract
The disclosure discloses a kind of user behavior data method for cleaning and device.Methods described includes：The degree that monitoring user behavior data is decayed with the time；If the user behavior data decayed with the time and updated is less than preset standard data, the user behavior data of renewal is cleared up.From the above method, this method is by monitoring the degree that user behavior data is decayed with the time, and when the user behavior data decayed with the time and updated is less than preset standard data, clear up the user behavior data updated, so as to clear up the user behavior data of inactive users for carrying out user behavior number of times decay, the number of times inactive users even die-offed soon that decays day by day for solving user behavior still counts the technical problem in any active ues.
Description
Technical field
This disclosure relates to technical field of internet application, more particularly to a kind of user behavior data method for cleaning and device.
Background technology
To meet the user behavior data demand of computer application, generally require to carry out the accumulation of user behavior data, very
As for the various processing of progress, in order to be able to the various user behaviors that accurate description occurs.
The acquisition process of existing user behavior data is, after triggering carries out user behavior to user for the first time, just to carrying out
The record quantized, and save as user behavior data.For example after triggering carries out user behavior to user for the first time, by user's row
It is 1 for data record.Before triggering user behavior again, the user behavior data preserved keeps constant, that is, remains as 1.
After user behavior is triggered again, user behavior data quantitatively increases, i.e., user behavior data is recorded as into 2.
From said process, before triggering user behavior again, user behavior data remains constant, when again
Trigger after user behavior, user behavior data is quantitatively increased.Therefore user behavior data is with the triggering of user behavior
And increase, but actual conditions are often user and have frequently triggering behavior (for example logging in) at the beginning, but later should
The number of times of behavior just even die-off soon day by day by decay, and so the user actually has become " corpse " user, should not
Count again in any active ues, although its behavior number of times accumulated is many, but existing scheme is no can effectively to solve this
Individual problem.
The content of the invention
In order to solve the inactive that the number of times of user behavior present in correlation technique is decayed or even die-offed soon day by day
User still counts the technical problem in any active ues, and present disclose provides a kind of user behavior data method for cleaning and device.
A kind of user behavior data method for cleaning, methods described includes：
The degree that monitoring user behavior data is decayed with the time；
If the user behavior data decayed with the time and updated is less than preset standard data, the described of renewal is cleared up
User behavior data.
A kind of user behavior data cleaning plant, described device includes：
Decay monitoring module, for monitoring the degree that user behavior data is decayed with the time；
Cleaning modul, if the user behavior data for decaying with the time and updating is less than preset standard data,
Clear up the user behavior data updated.
The technical scheme provided by this disclosed embodiment can include the following benefits：
The degree that monitoring user behavior data is decayed with the time；If the user behavior data decayed and updated with the time is less than
Preset standard data, then clear up the user behavior data of renewal.From the above method, this method is by monitoring user behavior number
According to the degree decayed with the time, and when the user behavior data decayed with the time and updated is less than preset standard data, cleaning
The user behavior data of renewal, so that the user behavior data of the inactive users to carrying out user behavior number of times decay is carried out clearly
Reason, the number of times for solving user behavior is decayed or even the inactive users that die-offs soon is still counted in any active ues day by day
Technical problem.
It should be appreciated that the general description of the above and detailed description hereinafter are only exemplary, this can not be limited
It is open.
Brief description of the drawings
Accompanying drawing herein is merged in specification and constitutes the part of this specification, shows the implementation for meeting the present invention
Example, and in specification together for explaining principle of the invention.
Fig. 1 is a kind of flow chart of user behavior data method for cleaning according to an exemplary embodiment；
Fig. 2 is stream of the degree that decays with the time of monitoring user behavior data in one embodiment of Fig. 1 correspondence embodiments
Cheng Tu；
Fig. 3 is the more new command of the reception user behavior data of Fig. 2 correspondence embodiments, and according to user behavior data more
New command, it is determined that whether again relatively last update user's flow chart of the triggering user behavior in one embodiment；
Fig. 4 is that the time attenuation coefficient that is pre-configured with of basis of Fig. 2 correspondence embodiments carries out user behavior data and newly-increased
Computing between user data obtains the user behavior data updated, and monitors user according to the user behavior data of renewal
Flow chart of the degree that behavioral data was decayed with the time in one embodiment；
Fig. 5 is that the accumulative processing attenuation data and the data that Add User of Fig. 4 correspondence embodiments obtain the user behavior updated
Flow chart of the data in one embodiment；
Fig. 6 is the schematic diagram of the user behavior data change of first 21 days；
Fig. 7 is the schematic diagram of the user behavior data change of the 170th~190 day；
Fig. 8 is a kind of block diagram of user behavior data cleaning plant according to an exemplary embodiment；
Fig. 9 is block diagram of the decay monitoring module in one embodiment of Fig. 8 correspondence embodiments；
Figure 10 is block diagram of the data updating unit in one embodiment of Fig. 9 correspondence embodiments；
Figure 11 is block diagram of the processing unit in one embodiment of Figure 10 correspondence embodiments.
Embodiment
Here explanation will be performed to exemplary embodiment in detail, its example is illustrated in the accompanying drawings.Following description is related to
During accompanying drawing, unless otherwise indicated, the same numbers in different accompanying drawings represent same or analogous key element.Following exemplary embodiment
Described in embodiment do not represent and the consistent all embodiments of the present invention.On the contrary, they be only with it is such as appended
The example of the consistent apparatus and method of some aspects be described in detail in claims, the present invention.
Fig. 1 is a kind of flow chart of user behavior data method for cleaning according to an exemplary embodiment.Such as Fig. 1 institutes
Show, the user behavior data method for cleaning may comprise steps of.
In step 110, the degree that monitoring user behavior data is decayed with the time.
Wherein, user behavior refers to the various operation behaviors that user triggers in the application, in the specific reality of one embodiment
In existing, user behavior can be the navigation patterns to site information, to download behavior of website data etc..User behavior data is
The data that user carries out user behavior are showed, user behavior data corresponds to the customer identification number for showing user profile, Mei Geyong
Family mark number correspond to the content name and the corresponding user behavior data of the user behavior of user behavior, and be used as one group of use
User data is stored in server.
The degree that monitoring user behavior data is decayed with the time, that is, judge that user behavior data is decayed with the time and obtained more
The whether effective process of new user behavior data.When user behavior data is invalid, then the user behavior data is cleared up.
In step 130, if the user behavior data decayed with the time and updated is less than preset standard data, clear up more
New user behavior data.
Wherein, preset standard data are the numerical value set according to the validity of user behavior data, the preset standard data
Threshold value for being set to clear up user behavior data.
When user behavior data exceedes the validity time set, the use that user behavior data is decayed and updated with the time
Family behavioral data is less than given threshold, now judges that the user behavior data updated loses validity, so as to clear up the use of renewal
Family behavioral data.By clearing up the user behavior data updated, the use of the inactive users to carrying out user behavior number of times decay
Family behavioral data is cleared up, so as to realize that the corresponding user of user behavior data is any active ues.
This embodiment is by clearing up the user behavior data updated, so that the inactive to carrying out user behavior number of times decay
The user behavior data of user is cleared up, and solves the inactive that the number of times of user behavior is decayed or even die-offed soon day by day
User still counts the technical problem in any active ues.
Fig. 2 is that the details to step 110 according to an exemplary embodiment is described.As shown in Fig. 2 the step
110 may comprise steps of.
In step 111, the more new command of user behavior data is received, and according to the more new command of user behavior data,
It is determined that relatively last update whether user triggers user behavior again.
Wherein when being updated to user behavior data, realize that the server or terminal of user behavior are sent to itself
The more new command of user behavior data, so as to start the regeneration behavior to user behavior data.
The settable time cycle for carrying out user behavior data renewal, so as to after the cycle in elapsed time, proceed by use
The renewal of family behavioral data, so as to receive the more new command of user behavior data.
, can be in server or terminal after exemplary embodiment is in the specific implementation, user carries out user behavior
The upper historical record for producing user behavior, and storing on server, so that according to whether there is the historical record of user behavior,
Judge whether user carried out user behavior.The time for carrying out user behavior is included in the historical record of user behavior.
After the more new command of user behavior data is received, by storing the historical record of user behavior on server,
Judge user it is upper once realize the renewal of user behavior data after, if trigger user behavior again.
In step 113, Added User behavioral data according to the user behavior acquisition that whether is triggered again.
Wherein, the behavioral data that Adds User is the data for carrying out user behavior data renewal.User behavior again by
The behavioral data that Adds User that correspondence user behavior is triggered during triggering, correspondence user behavior when user behavior is not triggered again
The behavioral data that Adds User not being triggered.
Judge whether user behavior is triggered again, and the result whether being triggered again according to user behavior, acquisition pair
The behavioral data that Adds User answered.
In step 115, user behavior data is carried out according to the time attenuation coefficient being pre-configured with and the behavior that Adds User
Computing between data obtains the user behavior data updated, and monitors user behavior data according to the user behavior data of renewal
The degree decayed with the time.
Wherein, time attenuation coefficient is what server was pre-configured with according to the validity of user behavior data.According to user
The validity time of behavioral data, to determine the size of time attenuation coefficient, when the validity of user data is longer, the time decays
Coefficient is smaller.In exemplary embodiment in the specific implementation, when the half-life period of user behavior data, i.e., being decayed according to the time
When the time that coefficient update user behavior data halves is 14 days, i.e. α14=0.5, it can be calculated time attenuation coefficient α and match somebody with somebody in advance
It is set to 0.95.For the present invention, this time attenuation coefficient is only for reference, it is not limited to this.
According to time attenuation coefficient, the computing between user behavior data and the behavioral data that Adds User obtains what is updated
User behavior data.What the behavioral data that Adds User included that user behavior is triggered Adds User behavioral data and user behavior not
The behavioral data that Adds User being triggered, and the user behavior data of the renewal according to acquisition, to user behavior data with the time
The degree of decay is monitored.
This embodiment achieves the degree that monitoring user behavior data is decayed with the time.
Fig. 3 is that the details to step 111 according to an exemplary embodiment is described.As shown in figure 3, the step
111 may comprise steps of.
In step 1111, judged once to update it upper according to the renewal instruction triggers of the user behavior data received
Whether user triggers user behavior again afterwards.
Wherein, after the more new command of user behavior data is received, triggering carries out judging that user once updates it upper
Afterwards, if trigger user behavior again.According to the last time for updating user behavior data stored on server and user
The time of the progress user behavior included in the historical record of behavior, judge it is upper once update user behavior data after, use
Whether user behavior is triggered again in family.
In step 1113, if user triggers user behavior again, what acquisition user behavior was triggered Adds User
Behavioral data.
Wherein, what user behavior was triggered Adds User behavioral data for updating user behavior data, user behavior quilt
The behavioral data that Adds User of triggering can be set according to demand.In one embodiment in the specific implementation, user behavior is triggered
The behavioral data that Adds User may be configured as 1, be easy to count and update user behavior data.
In step 1115, if user does not trigger user behavior again, it is newly-increased that acquisition user behavior is not triggered
User behavior data.
Wherein, what user behavior was not triggered Adds User behavioral data for updating user behavior data, with user's row
For the data difference that Adds User being triggered.What user behavior was not triggered Added User, and behavioral data can be set according to demand.
One embodiment in the specific implementation, be set to the newly-increased data that user behavior is triggered it is 1 corresponding, user behavior not by
The behavioral data that Adds User of triggering is set to 0, is easy to update user behavior data.
This embodiment achieves determining whether last renewal user triggers user behavior again, so as to obtain corresponding
Add User behavioral data.
Fig. 4 is that the details to step 115 according to an exemplary embodiment is described.As shown in figure 4, the step
115 may comprise steps of.
In step 1151, the decay of user behavior data in time is obtained according to the time attenuation coefficient being pre-configured with
Data.
Wherein, the meter of the attenuation data of user behavior data in time is obtained according to the time attenuation coefficient being pre-configured with
Calculate formula as follows.
Wherein, α is the time attenuation coefficient being pre-configured with,For user behavior data, passage time decay
Coefficient is multiplied with user behavior data, obtains the attenuation data of user behavior data in time.
In step 1153, accumulative processing attenuation data and the data that Add User obtain the user behavior data updated.
Obtained processing attenuation data and the data that Add User are subjected to computing, the user behavior data updated is obtained.
In step 1155, according to the user behavior data of renewal and preset standard data, monitoring user behavior data with
The degree of time decay.
Wherein, the user behavior data and the size of preset standard data of the renewal of acquisition are compared, to monitor user behavior
The degree that data decay with the time.When the user behavior data of renewal is less than preset standard data, then user behavior number is judged
According to no longer effective property, so as to clear up the user behavior data of renewal.
This embodiment realizes renewal user behavior data by accumulative processing attenuation data and the data that Add User, and
The degree that monitoring user behavior data is decayed with the time.
Fig. 5 is that the details to step 1153 according to an exemplary embodiment is described, as shown in figure 5, the step
Rapid 1153 may comprise steps of.
In step 11531, the interim of accumulative acquisition user data update is carried out to attenuation data and the data that Add User
Variable.
Wherein, the accumulative temporary variable for obtaining user data update is carried out to attenuation data and the data that Add User and calculates public
Formula is as follows
The temp values of acquisition are the temporary variable of user data update,To obtain the behavior that Adds User
Data, what the behavioral data that Adds User can include that user behavior be triggered Add User behavioral data and user behavior not by
The behavioral data that Adds User of triggering.For the attenuation data of user behavior data in time.
The attenuation data of behavioral data with user behavior data in time that will Add User is added, and obtains user data more
New temporary variable.
In step 11533, judge temporary variable whether beyond the specified initial value for recording user behavior generation.
Wherein, the specified initial value that user behavior occurs is pre-configured with.The specified initial value that the user behavior occurs is used for
The value of user behavior data is limited, prevents that the numerical value of user behavior data is excessive, causes the difficulty for handling user behavior data to increase
Big the problem of.One embodiment in the specific implementation, specify initial value can be configured to 1, be easy to user data carry out normalizing at
Reason.
In step 11535, if the specified initial value that temporary variable occurs beyond record user behavior, by specified initial value
It is set to the user behavior data of renewal.
Wherein, when temporary variable, which exceeds, specifies initial value, then specified initial value is configured to the user behavior data updated, from
And limit the numerical value of user behavior data.Ensure the numerical value of user behavior data all the time no more than specified initial value.
In step 11537, if temporary variable is without departing from the specified initial value that record user behavior occurs, temporary variable
It is set to the user behavior data of renewal.
Wherein, when temporary variable is without departing from specified initial value, then the temporary variable is effective user behavior data.It will face
Variations per hour is configured to the user behavior data updated.
This embodiment is realized according to temporary variable and specified initial value, realizes the renewal of user behavior data.
Using application scenarios as on the server, customer identification number is carried out for 123 user ABC entitled to content content
The user behavior power of download, with reference to concrete application scene, describes user behavior data method for cleaning.
Fig. 6 is the schematic diagram of the user behavior data change of first 21 days.As shown in fig. 6, start time point t0, user 123
ABC is not downloaded, and its corresponding user behavior data is 0, and the initial data will not be preserved on the server.
Time point t1=t0+1, wherein the 1 user behavior update cycle to set, user downloads ABC for the first time, its is corresponding
The behavioral data that Adds User is 1, and the user behavior data now updated is 1, and the data are preserved to server.
Time point t2=t1+1, user 123 does not download ABC, and the time attenuation coefficient α that now basis is pre-configured with=
0.95, it is 0, the user behavior data=0+1*0.95=0.95 now updated to obtain the corresponding behavioral data that Adds User.
Time point t3=t2+1, user 123 does not download ABC, and the behavioral data that Adds User is 0, the user's row now updated
For data=0+0.95*0.95=0.90.
Time point t4=t3+1, the more newly downloaded ABC of user 123, the behavioral data that Adds User are 1, now user behavior number
It is more than 1 according to for 1+0.90*0.95=1.85, now specifying initial value to be configured to 1,1.85, therefore the user behavior data updated is
1。
Time point t5=t4+1, user 123 does not download ABC, and the behavioral data that Adds User is 0, the user's row now updated
For data=0+1*0.95=0.95.
The validity time of the user behavior data is configured to 180 days, and given threshold is α180=0.0001.Afterwards 178
In it, user 123 does not download ABC, t183=t4+179, then the user behavior data now updated is 1* α179=1.03E-
04。
Fig. 7 is the schematic diagram of the user behavior data change of the 170th~190 day.As shown in fig. 7, time point t184=t4
+ 180, user 123 does not download ABC, and the behavioral data that Adds User is 0, user behavior data=0+1.03E-04*0.95 of renewal
=9.78E-05, the value is less than given threshold.Therefore the user behavior data of the renewal is cleared up.
Fig. 8 is a kind of block diagram of user behavior data cleaning plant according to an exemplary embodiment.The device is held
The all or part of step of user behavior data method for cleaning shown in row Fig. 1 is any.As shown in Fig. 8, the device include but
It is not limited to：The monitoring module 210 that decays and cleaning modul 230.
Decay monitoring module 210 is used to monitor the degree that user behavior data is decayed with the time.
If the user behavior data that cleaning modul 230 is used to decay and update with the time is less than preset standard data, clearly
Manage the user behavior data updated.
Fig. 9 is block diagram of the decay monitoring module in one embodiment of Fig. 8 correspondence embodiments.As shown in figure 9, the decay is supervised
Include but is not limited to depending on module 210：User behavior determining unit 211, data capture unit 213 and data updating unit 215.
User behavior determining unit 211 is used for the more new command for receiving user behavior data, and according to user behavior data
More new command, it is determined that relatively last update whether user triggers user behavior again.
Data capture unit 213 is used to be Added User behavioral data according to the user behavior acquisition that whether is triggered again.
Data updating unit 215 is used to carry out user behavior data and newly-increased use according to the time attenuation coefficient being pre-configured with
Computing between the behavioral data of family obtains the user behavior data updated, and monitors user's row according to the user behavior data of renewal
The degree decayed for data with the time.
In one exemplary embodiment, the corresponding user behavior determining units of Fig. 9 include but is not limited to：
Judging unit, for judging once to update it upper according to the renewal instruction triggers of the user behavior data received
Whether user triggers user behavior again afterwards, if YES, then obtains the behavioral data that Adds User that user behavior is triggered, such as
Fruit be it is no, then
Obtain the behavioral data that Adds User that user behavior is not triggered.
Figure 10 is block diagram of the data updating unit in one embodiment of Fig. 9 correspondence embodiments.As shown in Figure 10, the data
Updating block 215 includes but is not limited to：Attenuation data acquiring unit 2151, processing unit 2153 and monitoring unit 2155.
Attenuation data acquiring unit 2151 is used to be existed according to the time attenuation coefficient acquisition user behavior data being pre-configured with
Temporal attenuation data.
Processing unit 2153 is used for accumulative processing attenuation data and the data that Add User obtain the user behavior data updated.
Monitoring unit 2155 is used for user behavior data and preset standard data according to renewal, monitors user behavior data
The degree decayed with the time.
Figure 11 is block diagram of the processing unit in one embodiment of Figure 10 correspondence embodiments.As shown in figure 11, the processing list
Member 2153 includes but is not limited to：Temporary variable acquiring unit 21531 and initial value judging unit 21533.
Temporary variable acquiring unit 21531 is used to carry out attenuation data and the data that Add User accumulative acquisition user data
The temporary variable of renewal.
Whether initial value judging unit 21533 is used to judge temporary variable beyond the specified initial value for recording user behavior generation,
If YES, then specified initial value is set to the user behavior data of renewal, if NO, then
Temporary variable is set to the user behavior data of renewal.
The function of modules and the implementation process of effect refer to above-mentioned user behavior data method for cleaning in said apparatus
The implementation process of middle correspondence step, will not be repeated here.
It should be appreciated that the invention is not limited in the precision architecture for being described above and being shown in the drawings, and
And various modifications and changes can be being performed without departing from the scope.The scope of the present invention is only limited by appended claim.
Claims (10)
1. a kind of user behavior data method for cleaning, it is characterised in that methods described includes：
The degree that monitoring user behavior data is decayed with the time；
If the user behavior data decayed with the time and updated is less than preset standard data, the user for clearing up renewal
Behavioral data.
2. according to the method described in claim 1, it is characterised in that the degree that the monitoring user behavior data is decayed with the time
Step includes：
The more new command of user behavior data is received, and according to the more new command of the user behavior data, it is determined that relatively upper one
Whether secondary renewal user triggers user behavior again；
Whether be triggered the behavioral data that Added User described in acquisition again according to the user behavior；
Carried out according to the time attenuation coefficient being pre-configured between the user behavior data and the behavioral data that Adds User
Computing obtain update the user behavior data, and according to the user behavior data of renewal monitor user behavior data
The degree decayed with the time.
3. method according to claim 2, it is characterised in that the more new command of the reception user behavior data, and root
According to the more new command of the user behavior data, it is determined that relatively last update whether user triggers user behavior step bag again
Include：
According to the renewal instruction triggers of the user behavior data received judge it is upper once update after whether user again
Secondary triggering user behavior, if YES, then obtains the behavioral data that Adds User that the user behavior is triggered, if NO,
Then
Obtain the behavioral data that Adds User that the user behavior is not triggered.
4. method according to claim 2, it is characterised in that the time attenuation coefficient that the basis is pre-configured with carries out institute
State the computing between user behavior data and the behavioral data that Adds User and obtain the user behavior data updated, and root
The degree step decayed according to the user behavior data monitoring user behavior data of renewal with the time includes：
The attenuation data of the user behavior data in time is obtained according to the time attenuation coefficient being pre-configured with；
The accumulative processing attenuation data and the data that Add User obtain the user behavior data updated；
According to the user behavior data of renewal and the preset standard data, monitor that the user behavior data declines with the time
The degree subtracted.
5. method according to claim 4, it is characterised in that the accumulative processing attenuation data and the newly-increased use
User data, which obtains the user behavior data step updated, to be included：
The accumulative temporary variable for obtaining the user data update is carried out to the attenuation data and the data that Add User；
Judge that the temporary variable, if YES, then will be described whether beyond the specified initial value that the user behavior occurs is recorded
Specified initial value is set to the user behavior data of renewal, if NO, then
The temporary variable is set to the user behavior data of renewal.
6. a kind of user behavior data cleaning plant, it is characterised in that described device includes：
Decay monitoring module, for monitoring the degree that user behavior data is decayed with the time；
Cleaning modul, if the user behavior data for decaying with the time and updating is less than preset standard data, is cleared up
The user behavior data updated.
7. device according to claim 6, it is characterised in that the decay monitoring module includes：
User behavior determining unit, the more new command for receiving user behavior data, and according to the user behavior data
More new command, it is determined that relatively last update whether user triggers user behavior again；
Data capture unit, for the behavioral data that Added User described in acquisition that whether is triggered again according to the user behavior；
Data updating unit, for carrying out the user behavior data and described newly-increased according to the time attenuation coefficient being pre-configured with
Computing between user behavior data obtains the user behavior data updated, and according to the user behavior data of renewal
The degree that monitoring user behavior data is decayed with the time.
8. device according to claim 7, it is characterised in that the user behavior determining unit includes：
Judging unit, for judging once to update it upper according to the renewal instruction triggers of the user behavior data received
Whether user triggers user behavior again afterwards, if YES, then obtains the behavior number that Adds User that the user behavior is triggered
According to if NO, then
Obtain the behavioral data that Adds User that the user behavior is not triggered.
9. device according to claim 7, it is characterised in that the data updating unit includes：
Attenuation data acquiring unit, the time attenuation coefficient for being pre-configured with according to obtains the user behavior data and existed
Temporal attenuation data；
Processing unit, the user behavior updated is obtained for the accumulative processing attenuation data and the data that Add User
Data；
Monitoring unit, for the user behavior data according to renewal and the preset standard data, monitors user's row
The degree decayed for data with the time.
10. device according to claim 9, it is characterised in that the processing unit includes：
Temporary variable acquiring unit, for carrying out the accumulative acquisition user to the attenuation data and the data that Add User
The temporary variable that data update；
Initial value judging unit, for whether judging the temporary variable beyond the specified initial value for recording the user behavior generation,
If YES, then the specified initial value is set to the user behavior data of renewal, if NO, then
The temporary variable is set to the user behavior data of renewal.
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| CN108764607A (en) * | 2018-04-09 | 2018-11-06 | 中国平安人寿保险股份有限公司 | User month data reinspection method, apparatus, equipment and storage medium |
| CN112052293A (en) * | 2020-09-17 | 2020-12-08 | 中国银行股份有限公司 | Decentralized information recording method and device |
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| CN101393566A (en) * | 2008-11-17 | 2009-03-25 | 北京交通大学 | Information tracking and detecting method and system based on network structure user pattern of behavior |
| CN102890628A (en) * | 2011-07-20 | 2013-01-23 | 中国电信股份有限公司 | Method and device for displaying target object |
| CN103164434A (en) * | 2011-12-13 | 2013-06-19 | 阿里巴巴集团控股有限公司 | Method, device and system for obtaining real-time data |
| CN104602042A (en) * | 2014-12-31 | 2015-05-06 | 合一网络技术(北京)有限公司 | User behavior based label setting method |
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| CN108764607A (en) * | 2018-04-09 | 2018-11-06 | 中国平安人寿保险股份有限公司 | User month data reinspection method, apparatus, equipment and storage medium |
| CN108764607B (en) * | 2018-04-09 | 2022-04-15 | 中国平安人寿保险股份有限公司 | User monthly data review method, device, equipment and storage medium |
| CN112052293A (en) * | 2020-09-17 | 2020-12-08 | 中国银行股份有限公司 | Decentralized information recording method and device |
| CN112052293B (en) * | 2020-09-17 | 2024-04-19 | 中国银行股份有限公司 | Decentralizing information recording method and device |
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