CN101951623B - User behavior statistical method and device based on user events - Google Patents
User behavior statistical method and device based on user events Download PDFInfo
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Abstract
The invention discloses a user behavior statistical method based on user events, comprising: after receiving a user event message, obtaining the dimensionality information of the current state of a user from basic user information; and according the dimensionality information of the current state of the user and the event type, adding 1 to the attribute value of the event correlation index in a corresponding statistical object embodiment. The invention also discloses a user behavior statistical device based on user events. The method and the device of the invention can compress the user behaviour according to the dimensionality space and save system resources. On the basis of the user events according to the dimensionality statistical result, the flexible analysis and statics of user behaviour in any dimensionality or dimensionality combination can be realized, and the ineffective dimensionality space event can be automatically rejected.
Description
Technical field
The present invention relates to the statistical technique of the communications field, refer to especially a kind of user behavior statistical method and device based on customer incident.
Background technology
Along with mobile network's development, the perpetual object of operator, change to content service profit model from carrying profit model, therefore, traditional performance statistics object, can not meet operator carries out lean operation requirement to mobile service, the user behavior analysis arising at the historic moment becomes the concern target of operator and the basis of improving profitability.User behavior analysis can be added up by the call record to user and media message content, the content that these call records and media message comprise is considerably beyond traditional performance statistics object, on the basis of call record and media message, carry out statistics and analysis, can carry out depth analysis to a series of indexs such as systematic function, user behavior, obtain more valuable information.
For a mobile subscriber, his business conduct has multiple attribute, such as: customer location must belong to certain lane place, Route Area, service area etc., its access way must be attributed to certain access way, such as Generation Mobile Telecommunication System technology (2G, second Generation), 3G (Third Generation) Moblie technology (3G, the 3rd-Generation) or four third-generation mobile communication technology (4G, fourth Generation), its access point must belong to certain APN (APN, Access Point Name).In the following description, by attributes such as the customer location relevant to event, access way and ownership APN, be called dimension, by user's business conduct type, be called event, by the statistics of specific transactions process, be called index.
In the analytical applications of user behavior, operator needs can be from multiple dimensions or combination dimension, many indexs are analyzed user behavior, give an example, for general packet radio service technological service support node (SGSN), the dimension that operator pays close attention to, it may be Route Area, lane place, service area, tracking area, access point, access way, type of service, certain specific or combination dimension in a series of dimensions such as class of subscriber and terminal type, pay close attention to index and comprise attached users, excited user number, adhere to success rate, activate success rate, paging success rate, time delay, service quality (QoS, Quality of Service), and a series of statisticses such as terminal type distribution, therefore, requirement statistical system can be to statistics independent assortment, realize Flexible Query.
For the statistical analysis demand of this various dimensions, the flexible computing of many indexs, common processing method is: set up Descartes's model of paying close attention to index in statistical system, particularly, suppose to exist in user profile M dimension, the index that operator pays close attention to relates to N dimension wherein, wherein, N≤M, with D
1, D
2..., D
nrepresent N dimension, the corresponding first prime number of each dimension is respectively N
1, N
2..., N
n,, for the record sum of Descartes's model, can be expressed as:
N＝N
1×N
2×......×N
n
But, for moving communicating field, user-dependent number of dimensions is conventionally all larger, such as: SGSN dimension comprises Route Area, lane place, access point, service area etc., if according to above-mentioned computing formula, corresponding record sum will be very huge, storage allocation and carry out arithmetic operation according to the method, the resource of existing system and performance are difficult to meet the demands conventionally, therefore, need to improve said method, in prior art, have following two kinds of solutions:
The first, for above-mentioned model, according to the incidence relation of dimension, dimensional space is compressed.Give an example, certain the fixed position district in network model, must belong to specific Route Area, and for other dereferenced Route Area, combination can not appear in this lane place and other dereferenced Route Area.By this method, the dimension combination that some can not be able to be occurred is rejected, thereby realizes the compression of dimensional space.This processing method, although can save partial memory resource,, dimension compression method is too complicated, if when the network model of network element changes, is difficult to realize automatic processing.
The second, according to predefined model, dimension and index that operator is paid close attention to, set up fixing statistical model, carries out respectively data statistic analysis.This statistical method is relatively applicable to monitoring in real time, can obtain higher compression ratio, and still, because the method is based on fixed model and fixed index, statistical function is single, is difficult to meet the flexible combination requirement of dimension.
In sum, existing user behavior statistical method, can not realize various dimensions statistics and the combination various dimensions of the user behavior based on event and add up.
Summary of the invention
In view of this, main purpose of the present invention is to provide a kind of user behavior statistical method and device based on customer incident, can realize various dimensions statistics and the combination various dimensions statistics of the user behavior based on event.
For achieving the above object, technical scheme of the present invention is achieved in that
The invention provides a kind of user behavior statistical method based on customer incident, the method comprises:
Receive after a customer incident message, from the user basic information of current preservation, obtain the dimensional information of user's current state;
According to the dimensional information of user's current state and event type, the count value of the event index of correlation in corresponding objects of statistics example is added to 1.
In such scheme, obtain the dimensional information of user's current state from the user basic information of current preservation before, the method further comprises:
In the time carrying the dimension that this event changes in customer incident message, upgrade the user basic information of preserving according to user's dimension of carrying in customer incident message.
In such scheme, described according to the dimensional information of user's current state and event type, the count value of the event index of correlation in corresponding objects of statistics example is added to 1, be specially:
According to the dimensional information of the User Status of current preservation, search corresponding objects of statistics example, if while finding corresponding objects of statistics example, according to event type, the count value of the event index of correlation in objects of statistics example is added to 1, if while not finding corresponding objects of statistics example, create a new objects of statistics example, and according to event type, the count value of the event index of correlation in objects of statistics example is added to 1.
In such scheme, described according to the dimensional information of the User Status of current preservation, search corresponding objects of statistics example, be specially:
According to the dimensional information of the User Status of current preservation, calculate index corresponding to dimensional information;
The index corresponding according to dimensional information, searches the objects of statistics example that index is corresponding.
In such scheme, the method further comprises:
After timer expiry, preserve statistics, remove afterwards all objects of statistics examples, restart statistics.
In such scheme, the method further comprises:
After primary statistics completes, according to user's request, statistics is further analyzed and computing, and exports operation result.
The present invention also provides a kind of user behavior statistic device based on customer incident, and this device comprises: message analysis module and statistical module; Wherein,
Message analysis module for receiving after a customer incident message, is obtained the dimensional information of user's current state, and the dimensional information current user who gets is sent to statistical module from the user basic information of current preservation;
Statistical module, for receiving after the dimensional information of user's current state that message analysis module sends, according to the dimensional information of user's current state and event type, adds 1 by the count value of the event index of correlation in corresponding objects of statistics example.
In such scheme, this device further comprises memory module, for preserving user basic information and objects of statistics example, the dimensional information that described user basic information comprises user's current state.
In such scheme, this device further comprises acquisition module, be used for receiving customer incident message, and in the time carrying the dimension that this event changes in customer incident message, upgrade according to the dimension of carrying in customer incident message the user basic information that memory module is preserved.
In such scheme, this device further comprises: timer and removing module; Wherein,
Timer, for after overtime, trigger and removes module;
Remove module, for preserving statistics, remove afterwards all objects of statistics examples.
In such scheme, this device further comprises computing module, after completing in statistics, according to user's request, statistics is further analyzed and computing, and exports operation result.
User behavior statistical method and device based on customer incident provided by the invention, receive after customer incident message, according to the dimensional information of user's current state and event type, the count value of the event index of correlation in corresponding objects of statistics example is added to 1, so, can, by user behavior by user's dimension attribute and event type, sort out and compress, that is: the statistics of user behavior various dimensions and combination dimension can be realized, and then system resource can be saved; In addition, for example, in mobile communication system, a specific lane place must belong to a specific Route Area, two do not have lane place and the Route Area combination of membership, the inevitable customer incident that do not have occurs, therefore, the solution of the present invention can also realize the rejecting of invalid dimensional space event automatically.
According to the dimensional information of current User Status, calculate index corresponding to dimensional information; The index corresponding according to dimensional information, searches the objects of statistics example that index is corresponding, so, can find rapidly objects of statistics example corresponding to dimensional information.
In addition, after primary statistics completes, according to user's request, for user's perpetual object, statistics is further analyzed and computing, and exports operation result for user, so, can on the basis of primary statistics result, realize secondary computing, further meet consumers' demand.
Brief description of the drawings
Fig. 1 is the user behavior statistical method schematic flow sheet that the present invention is based on customer incident;
Fig. 2 is the primary statistics result schematic diagram of embodiment mono-;
Fig. 3 is the dimension query composition result schematic diagram of embodiment mono-;
Fig. 4 is the Output rusults schematic diagram of the embodiment mono-activation success rate of adding up;
Fig. 5 is the user behavior statistic device structural representation that the present invention is based on customer incident.
Embodiment
Below in conjunction with drawings and the specific embodiments, the present invention is further described in more detail.
The present invention is based on the event stochastic method of user behavior, as shown in Figure 1, comprise the following steps:
Step 101: receive after a customer incident message, obtain the dimensional information of user's current state from the user basic information of current preservation;
Here, described customer incident message comprises user ID, event type and execution result, can find according to user ID the user basic information of current preservation, that is: the index information of the user basic information that user ID is current preservation; The dimensional information that the user basic information of described current preservation comprises user's current state; The dimensional information of described user's current state refers to the specifying information of all dimensions of user's current state; Receive after customer incident message, search the user basic information of current preservation according to the user ID in customer incident message, if do not found, explanation is the customer incident message of receiving for the first time this user, preserve this user basic information, again receive after this customer incident message, this user basic information is upgraded on the basis of preserving for the first time;
Obtain the dimensional information of user's current state from the user basic information of current preservation before, the method can further include:
In the time carrying the dimension that this event changes in customer incident message, upgrade the user basic information of preserving according to the dimension of carrying in customer incident message;
Wherein, in the time that user's dimensional information changes, the user basic information of carrying in customer incident message comprises the current dimension changing of this user, for the dimension not changing, can not be included in the user basic information that customer incident message carries, if when all dimensions of this user all change, the user basic information of carrying in customer incident message comprises the current all dimensions of this user; If the user basic information that described customer incident message carries comprises the current dimension changing of this user, only the dimension changing in this user basic information of preserving is upgraded, and for the dimension not changing, do not made any amendment;
If when user's dimension does not change, the user basic information of carrying in customer incident message can not comprise user's dimension, accordingly, receiving after customer incident message, can not upgrade the dimensional information in the user basic information of preservation, directly from the user profile of current preservation, obtain the dimensional information of user's current state.
Step 102: according to the dimensional information of user's current state and event type, the count value of the event index of correlation in corresponding objects of statistics example is added to 1;
Particularly, according to the dimensional information of the User Status of current preservation, search corresponding objects of statistics example, if while finding corresponding objects of statistics example, according to event type, the count value of the event index of correlation in objects of statistics example is added to 1, if while not finding corresponding objects of statistics example, create a new objects of statistics example, and according to event type, the count value of the event index of correlation in objects of statistics example is added to 1;
Described according to the dimensional information of the User Status of current preservation, search corresponding objects of statistics example, be specially:
According to the dimensional information of the User Status of current preservation, calculate index corresponding to dimensional information;
The index corresponding according to dimensional information, searches the objects of statistics example that index is corresponding;
Wherein, the specifying information that comprises multiple dimensions due to the dimensional information of User Status, in order to find rapidly objects of statistics example corresponding to dimensional information, can adopt hash algorithm or Message Digest Algorithm 5 (MD5) or other algorithm for digital signature first to calculate index corresponding to dimensional information, and then utilize index to find corresponding objects of statistics example; Described index can be a characteristic value;
A corresponding objects of statistics example of dimensional information, the specifying information that described objects of statistics example comprises dimension and the count value of event index of correlation; Wherein, can pass through the counting of counter realization event index of correlation; For the count value of described event index of correlation, the count value of the corresponding a set of index of correlation of every kind of event type, can comprise the count value of the index of correlation of multiple event type in an objects of statistics example; In actual application, can select as required to need the event type of statistics, then distribute accordingly the counter of index of correlation;
For step 102, give an example, need the event type of statistics for activating and paging, accordingly, the counter that activates index of correlation in objects of statistics example has two, that is: statistics activates the counter of number of success and the counter of the statistics activation frequency of failure, the counter of paging index of correlation also has two, that is: the counter of the counter of statistics paging number of success and statistics paging failure number of times, when the event type in the customer incident message of receiving is for activating, execution result is while activating successfully, the numerical value that statistics in corresponding objects of statistics example is activated to the counter of number of success adds 1.
According to the attribute of customer service, a dimensional information is set, the attribute kit of described customer service is containing user's lane place, Route Area, service area, access way, access point etc., a corresponding dimensional space of dimensional information, by step 101 and 102, multiple events that same dimensional space can be occurred, be polymerized to a statistic record, give an example, suppose that in a measurement period, event total degree is X, be P (P >=1) at the average frequency of event of each dimensional space, the number of objects of statistics example is X/P, therefore, the number of times occurring in the event of each dimensional space is higher, objects of statistics instance number is fewer.For example, for a network element, suppose in a measurement period, such as 15 minutes, event generation each second number is 10000, and in 15 minutes, event adds up to 10000*60*15=9000000, if the average frequency of all kinds of events of each dimensional space is 100, corresponding objects of statistics example will be: 9000000/100=90000, compression ratio is 1/100.
Certainly, under limiting case, such as measurement period is very short, when in the time that the average frequency of event of each dimensional space is 1, that is: all events of generation do not repeat, and the number of objects of statistics example equals event generation number.For a network element, in the general unit interval, event number is fixed, and therefore, can, by measurement period is set, total number of events be controlled to the scope that can predict.
The process of step 101～102 can be called the process of primary statistics, after primary statistics completes, according to user's request, for user's perpetual object, statistics is further analyzed and computing, and exports operation result; Wherein, the mode of output can adopt graphics mode, can allow user see very intuitively operation result; It can be certain the event statistics under certain dimension of paying close attention to that described user needs, and can also be certain event statistics under dimension combination etc.
In actual application, measurement period can be set, such as: it is 15 minutes that measurement period is set, every 15 minutes, after timer expiry, the statistics of this period is saved in to disk, remove afterwards all statistics examples, the customer incident message newly reporting is restarted to statistics, so that user can analyze and computing further to statistics, thereby can better meet consumers' demand.
Embodiment mono-
The application scenarios of the present embodiment is: the statistics of the activation success rate of SGSN.
In the present embodiment, user's dimensional information comprises: lane place identification code (LAI, Location AreaIdentity), Routing Area identification code (RAI, Routing Area Identification), Service Area Identifier (SAI, Service Area Identity), APN, wireless access type (RAT, Radio Access Type) and radio network controller (RNC, Radio Network Controller) title etc.; Need the event of statistics for adhering to, activate, deactivate and paging etc., accordingly, be configured for respectively that statistics is adhered to number of success, adhered to the frequency of failure, activates number of success, activates the frequency of failure, the counter of deactivation number of success, the deactivation frequency of failure, paging number of success, paging failure number of times etc., and the method for calculating index corresponding to dimensional information is set, such as: hash algorithm, it is 15 minutes that measurement period is set.
SGSN receives after customer incident message, find the user basic information of preservation according to the user ID of carrying in customer incident message, if while carrying the dimension that this event changes in customer incident message, upgrade the user basic information of preserving according to the dimension of carrying in customer incident message; If while not carrying dimensional information, do not upgrade the dimensional information in the user basic information of preservation; Wherein, the message that customer incident message is existing transmission, in the present embodiment, customer incident message can be to adhere to, activate, deactivate and the message of the event such as paging; In the time that the residing geographical position of user and/or access way and/or access point etc. change, user's dimensional information can change, in the present embodiment, particularly, can be one of them or several the changing such as LAI, LAI, RAI, SAI, APN, RAT and RNC title time, think that variation has occurred user's dimensional information;
Afterwards according to the dimensional information of the User Status of current preservation, calculate index corresponding to dimensional information, the index corresponding according to dimensional information again, search the objects of statistics example that index is corresponding, if while finding corresponding objects of statistics example, according to event type, the count value of the event index of correlation in objects of statistics example is added to 1, if while not finding corresponding objects of statistics example, create a new objects of statistics example, and according to event type, the count value of the event index of correlation in objects of statistics example is added to 1, and every 15 minutes, preserve statistics, remove afterwards all statistics examples, the customer incident message newly reporting is restarted to statistics, obtain primary statistics result schematic diagram as shown in Figure 2, in Fig. 2, only list the count value that activates index of correlation, that is: activate number of success and activate the frequency of failure, ACTIVE_SUCESS in Fig. 2 represents the statistics of the counter that activates number of success, ACTIVE_FAIL represents the statistics of the counter that activates the frequency of failure.
Select dimension or the dimension combination paid close attention to, such as: the dimension of selection is combined as (LAI=32432, RAI=3256, SAI=3247, APN=xcom.net, RAT=UTRAN), the time period of selection is: 16:00:00 is to 18:15:00, according to primary statistics result, can obtain dimension query composition result as shown in Figure 3, according to Query Result, statistics activates success rate, obtains Output rusults as shown in Figure 4 again; In the time of practical application, can utilize SQL (SQL, Structured Query Language) to select dimension or the dimension combination of paying close attention to, calculate again afterwards activation success rate.Wherein, the computing formula of statistics activation success rate is:
Activate success rate=activation number of success/(activating number of success+activation frequency of failure) * 100;
Here activate number of success,, activate activation number of success that the frequency of failure is respectively the dimension paid close attention under this period or dimension query composition result and activate the frequency of failure.
From description above, can find out, can realize index analysis and the contrast of any dimension of SGSN or dimension combination.
Embodiment bis-
The application scenarios of the present embodiment is: the statistics of the bearer update success rate of gateway general packet radio service technical support node (GGSN, Gateway GPRS Support Node).
In the present embodiment, user's dimensional information comprises: LAI, RAI, SAI, APN, RAT and RNC title etc.; The event that needs statistics is activation, deactivation and bearer update etc., accordingly, be configured for respectively the counter that statistics activates number of success, the activation frequency of failure, deactivation number of success, the deactivation frequency of failure, bearer update number of success, the bearer update frequency of failure etc., and the method for calculating index corresponding to dimensional information is set, such as: hash algorithm, it is 15 minutes that measurement period is set.
GGSN receives after customer incident message, find the user basic information of preservation according to the user ID of carrying in customer incident message, if while carrying the dimension that this event changes in customer incident message, upgrade the user basic information of preserving according to the dimension of carrying in customer incident message; If while not carrying dimension, do not upgrade the dimensional information in the user basic information of preservation; Wherein, the message that customer incident message is existing transmission, in the present embodiment, customer incident message can be the message of the events such as activation, deactivation and bearer update; In the time that the residing geographical position of user and/or access way and/or access point etc. change, user's dimensional information can change, in the present embodiment, particularly, can be one of them or several the changing such as LAI, LAI, RAI, SAI, APN, RAT and RNC title time, think that variation has occurred user's dimensional information;
Afterwards according to the dimensional information of the User Status of current preservation, calculate index corresponding to dimensional information, the index corresponding according to dimensional information again, search the objects of statistics example that index is corresponding, if while finding corresponding objects of statistics example, according to event type, the count value of the event index of correlation in objects of statistics example is added to 1, if while not finding corresponding objects of statistics example, create a new objects of statistics example, and according to event type, the count value of the event index of correlation in objects of statistics example is added to 1, and every 15 minutes, preserve statistics, remove afterwards all statistics examples, the customer incident message newly reporting is restarted to statistics, primary statistics result shown in primary statistics result and the Fig. 2 obtaining is similar.
Select dimension or the dimension combination paid close attention to, according to primary statistics result, can obtain dimension or the dimension query composition result paid close attention to, again according to Query Result, can add up bearer update success rate, in the time of practical application, can utilize SQL to select dimension or the dimension combination of paying close attention to, calculate again afterwards bearer update success rate.Wherein, the computing formula of bearer update activation success rate is:
Bearer update success rate=bearer update number of success/(bearer update number of success+bearer update frequency of failure) * 100;
Here, bearer update number of success, the bearer update frequency of failure are respectively the dimension paid close attention under this period or bearer update number of success and the bearer update frequency of failure of dimension query composition result.
From description above, can find out, can realize index analysis and the contrast of any dimension of GGSN or dimension combination.
For realizing said method, the present invention also provides a kind of user behavior statistic device based on customer incident, and as shown in Figure 5, this device comprises: message analysis module 51 and statistical module 52; Wherein,
Message analysis module 51 for receiving after a customer incident message, is obtained the dimensional information of user's current state, and the dimensional information current user who gets is sent to statistical module 52 from the user basic information of current preservation;
Statistical module 52, for receiving after the dimensional information of user's current state that message analysis module 51 sends, according to the dimensional information of user's current state and event type, adds 1 by the count value of the event index of correlation in corresponding objects of statistics example.
This device can further include memory module 53, for preserving user basic information and objects of statistics example, the dimensional information that described user basic information comprises user's current state;
This device can further include acquisition module 54, be used for receiving customer incident message, and in the time carrying the dimension that this event changes in customer incident message, upgrade according to the dimension of carrying in customer incident message the user basic information that memory module 53 is preserved.
Described statistical module 52, specifically for: according to the dimensional information of the User Status of current preservation, search corresponding objects of statistics example, if while finding corresponding objects of statistics example, according to event type, the count value of the event index of correlation in objects of statistics example is added to 1, if while not finding corresponding objects of statistics example, create a new objects of statistics example, and according to event type, the count value of the event index of correlation in objects of statistics example is added to 1.
This device can further include: timer and removing module; Wherein,
Timer, for after overtime, trigger and removes module;
Remove module, for preserving statistics, remove afterwards all objects of statistics examples.
Described memory module 53, also for preserving statistics.
This device can further include: computing module, after completing in statistics, according to user's request, is further analyzed and computing statistics, and exports operation result.
The above, be only preferred embodiment of the present invention, is not intended to limit protection scope of the present invention, all any amendments of doing within the spirit and principles in the present invention, is equal to and replaces and improvement etc., within all should being included in protection scope of the present invention.
Claims (9)
1. the user behavior statistical method based on customer incident, is characterized in that, the method comprises:
Receive after a customer incident message, in the time carrying the dimension that this event changes in described customer incident message, upgrade the user basic information of preserving according to the described dimension changing, described user basic information comprises: the dimensional information of user's current state;
From the user basic information described renewal, obtain the dimensional information of user's current state;
Search corresponding objects of statistics example according to described dimensional information;
According to event type, the count value of the event index of correlation in corresponding objects of statistics example is added to 1.
2. method according to claim 1, is characterized in that, described method also comprises:
If while not finding corresponding objects of statistics example according to the dimensional information of the User Status of current preservation, create a new objects of statistics example, and according to event type, the count value of the event index of correlation in objects of statistics example is added to 1.
3. method according to claim 1, is characterized in that, described according to the dimensional information of the User Status of current preservation, searches corresponding objects of statistics example, is specially:
According to the dimensional information of the User Status of current preservation, calculate index corresponding to dimensional information;
The index corresponding according to dimensional information, searches the objects of statistics example that index is corresponding.
4. method according to claim 1, is characterized in that, the method further comprises:
After timer expiry, preserve statistics, remove afterwards all objects of statistics examples, restart statistics.
5. according to the method described in claim 1 or 4, it is characterized in that, the method further comprises:
After primary statistics completes, according to user's request, statistics is further analyzed and computing, and exports operation result.
6. the user behavior statistic device based on customer incident, is characterized in that, this device comprises: acquisition module, message analysis module and statistical module; Wherein,
Acquisition module, be used for receiving customer incident message, and in the time carrying the dimension that this event changes in customer incident message, upgrade according to the dimension of carrying in customer incident message the user basic information that memory module is preserved, described user basic information comprises: the dimensional information of user's current state;
Message analysis module, obtains the dimensional information of user's current state, and the dimensional information current user who gets is sent to statistical module for the user basic information after described renewal;
Statistical module, for receiving after the dimensional information of user's current state that message analysis module sends, search corresponding objects of statistics example according to described dimensional information, and according to event type, the count value of the event index of correlation in corresponding objects of statistics example is added to 1.
7. device according to claim 6, is characterized in that, this device further comprises memory module, for preserving user basic information and objects of statistics example, the dimensional information that described user basic information comprises user's current state.
8. device according to claim 6, is characterized in that, this device further comprises: timer and removing module; Wherein,
Timer, for after overtime, trigger and removes module;
Remove module, for preserving statistics, remove afterwards all objects of statistics examples.
9. according to the device described in claim 6 or 8, it is characterized in that, this device further comprises computing module, after completing in statistics, according to user's request, statistics is further analyzed and computing, and exports operation result.
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| PCT/CN2011/071904 WO2012034388A1 (en) | 2010-09-13 | 2011-03-17 | Method and apparatus for user behaviors statistics based on user events |
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| CN102307315B (en) * | 2011-04-22 | 2014-01-29 | 赛特斯信息科技股份有限公司 | User behavior analysis device in Internet protocol television (IPTV) system, and system for realizing analysis application |
| CN105653568A (en) * | 2014-12-04 | 2016-06-08 | 中兴通讯股份有限公司 | Method and apparatus analyzing user behaviors |
| CN107451247B (en) * | 2017-07-28 | 2021-03-30 | 北京小米移动软件有限公司 | User identification method and device |
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| CN101951623A (en) | 2011-01-19 |
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