CN110049102A - User behavior data processing method, device, equipment and storage medium - Google Patents
User behavior data processing method, device, equipment and storage medium Download PDFInfo
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- CN110049102A CN110049102A CN201910186774.0A CN201910186774A CN110049102A CN 110049102 A CN110049102 A CN 110049102A CN 201910186774 A CN201910186774 A CN 201910186774A CN 110049102 A CN110049102 A CN 110049102A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/535—Tracking the activity of the user
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
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Abstract
The invention discloses a kind of user behavior data processing method, device, equipment and storage medium based on big data, which comprises when user enters experiment layer, user data capture program is called to obtain user behavior information；When being normal with the connection status of server, the user behavior information is pushed into server, so that the server classifies to the user behavior information according to default label information, and classification results are sent；The corresponding user of the user behavior information is screened according to the classification results, the behavioural information of the target user after screening is pushed into the server.The present invention is analyzed by user behavior information of the server to acquisition, and analysis result is sent, effective user behavior information need to only be sent in client by classification results, without all behavioural informations of acquisition are pushed, to reduce the operating pressure of server, the overall performance of system is improved.
Description
Technical field
The present invention relates to technical field of data processing more particularly to a kind of user behavior data processing methods, device, equipment
And storage medium.
Background technique
Currently, almost all of browser/server (Browser/Server, B/S), client/server
The server of (Client/Server, C/S) framework considers for the analysis to user behavior, can all adopt in designing system
The operation behavior for collecting user is mainly shown as that time trigger acquires, that is, exists when using the operation behavior of collection of server user
Server samples data after receiving particular service request, processed and is put in storage, which is limited in that, when
When one complete process flow substep is completed, additional development is needed to assist counting statistics result；And it is taken in high concurrent
In the environment of business, frequently record will affect systematic entirety energy, cause bad user experience.
Summary of the invention
It is a primary object of the present invention to propose a kind of user behavior data processing method, device, equipment and storage medium,
It is intended to improve the performance of server.
To achieve the above object, the present invention provides a kind of user behavior data processing method, at the user behavior data
Reason method the following steps are included:
When user enters experiment layer, user data capture program is called, user behavior information is acquired；
The connection status of judgement and server believes the user behavior when being normal with the connection status of server
Breath pushes to server, so that the server extracts the default label information in the user behavior information, according to described pre-
If label information classifies to the corresponding user of the user behavior information, and classification results are sent；
The classification results are received, the user behavior information are screened according to the classification results, after screening
The behavioural information of target user push to the server.
Preferably, the user data capture program is the Software Development Kit that program integrates；
When user enters experiment layer, user data capture program is called, user behavior information is acquired, comprising:
When user enters experiment layer, Software Development Kit is called, user behavior information is obtained；
It is described to call Software Development Kit when user enters experiment layer, before obtaining user behavior information, the side
Method further include:
Write instruction is obtained, Software Development Kit and writing address information in said write instruction are extracted, according to
The Software Development Kit is written said write address information.
Preferably, the connection status of the judgement and server will be described when being normal with the connection status of server
User behavior information pushes to server, comprising:
The connection status of judgement and server believes the user behavior when being abnormal with the connection status of server
Breath is stored in local；
The connection status of real-time detection and server, when being normal with the connection status of server, by what is locally saved
The user behavior information pushes to server.
Preferably, the connection status of the judgement and server will be described when being normal with the connection status of server
User behavior information pushes to before server, the method also includes:
Judge whether the relation mapping table for having the default label Yu the user behavior information；
When there being the relation mapping table of the default label and the user behavior information, the relation mapping table is sent out
It send to the server, so that the server searches corresponding use in the relation mapping table according to the default label information
Family behavioural information.
Preferably, the connection status of the judgement and server will be described when being normal with the connection status of server
User behavior information pushes to before server, the method also includes:
Obtain the user behavior information, the user behavior information be compared with default general data, according to than
Relatively result determines destination data location information；
The attribute information in the destination data location information is extracted, the preset field in the attribute information is set as pre-
If label information.
Preferably, described to receive the classification results, the user behavior information is sieved according to the classification results
Choosing, pushes to the server for the behavioural information of the target user after screening, comprising:
The classification results are received, the corresponding user of the user behavior information is sieved according to the classification results
Choosing；
The experimental rules for obtaining the experiment layer, the behavioural information for meeting the target user of the experimental rules is pushed to
The server.
Preferably, the experimental rules include single user operation behavior, the same operation behavior of different user and random
At least one of sampling.
The experimental rules for obtaining the experiment layer, the behavioural information for meeting the target user of the experimental rules is pushed away
It send to the server, comprising:
The experimental rules for obtaining the experiment layer, when the experimental rules are single user operation behavior, acquisition target is used
The user behavior information at family；
The experimental rules for obtaining the experiment layer are adopted when the experimental rules are the same operation behavior of different user
Collect the user behavior information of same operation behavior；
The experimental rules for obtaining the experiment layer extract the experimental rules when the experimental rules are random sampling
In sampling proportion information, according to the sampling proportion information collection user behavior information.
In addition, to achieve the above object, the present invention also proposes a kind of user behavior data processing unit, the user behavior
Data processing equipment includes:
Calling module, for when user enters experiment layer, calling user data capture program, acquisition user behavior letter
Breath；
Pushing module, for judge with the connection status of server, with the connection status of server be it is normal when, by institute
It states user behavior information and pushes to server, so that the server extracts the letter of the default label in the user behavior information
Breath, classifies to the corresponding user of the user behavior information according to the default label information, and classification results are carried out
It sends；
Screening module carries out the user behavior information according to the classification results for receiving the classification results
Screening, pushes to the server for the behavioural information of the target user after screening.
In addition, to achieve the above object, the present invention also proposes a kind of equipment, the equipment include: memory, processor and
It is stored in the user behavior data processing routine that can be run on the memory and on the processor, the user behavior number
The step of being arranged for carrying out user behavior data processing method as described above according to processing routine.
In addition, to achieve the above object, the present invention also proposes a kind of storage medium, user is stored on the storage medium
Behavioral data processing routine, the user behavior data processing routine realize user's row as described above when being executed by processor
The step of for data processing method.
User behavior data processing method proposed by the present invention, by calling user data when user enters experiment layer
Capture program acquires user behavior information；The connection status of judgement and server, is normal in the connection status with server
When, the user behavior information is pushed into server, so that the server extracts presetting in the user behavior information
Label information classifies to the corresponding user of the user behavior information according to the default label information, and classification is tied
Fruit is sent；The classification results are received, the user behavior information is screened according to the classification results, will be screened
The behavioural information of target user afterwards pushes to the server, to be carried out by user behavior information of the server to acquisition
Analysis, and analysis result is sent, effective user behavior information need to only be sent out in client by classification results
It send, without pushing all behavioural informations of acquisition, to reduce the operating pressure of server, improves the entirety of system
Performance.
Detailed description of the invention
Fig. 1 is the device structure schematic diagram for the hardware running environment that the embodiment of the present invention is related to；
Fig. 2 is the flow diagram of user behavior data processing method first embodiment of the present invention；
Fig. 3 is the overall flow schematic diagram of one embodiment of user behavior data processing method of the present invention；
Fig. 4 is the flow diagram of user behavior data processing method second embodiment of the present invention；
Fig. 5 is the flow diagram of user behavior data processing method 3rd embodiment of the present invention；
Fig. 6 is the functional block diagram of user behavior data processing unit first embodiment of the present invention.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
Referring to Fig.1, Fig. 1 is the device structure schematic diagram for the hardware running environment that the embodiment of the present invention is related to.
As shown in Figure 1, the equipment may include: processor 1001, such as CPU, communication bus 1002, user interface
1003, network interface 1004, memory 1005.Wherein, communication bus 1002 is for realizing the connection communication between these components.
User interface 1003 may include display screen (Display), input unit such as key, and optional user interface 1003 can also wrap
Include standard wireline interface and wireless interface.Network interface 1004 optionally may include standard wireline interface and wireless interface
(such as WI-FI interface).Memory 1005 can be high speed RAM memory, be also possible to stable memory (non-volatile
), such as magnetic disk storage memory.Memory 1005 optionally can also be the storage dress independently of aforementioned processor 1001
It sets.
It will be understood by those skilled in the art that device structure shown in Fig. 1 does not constitute the restriction to equipment, can wrap
It includes than illustrating more or fewer components, perhaps combines certain components or different component layouts.
As shown in Figure 1, as may include operating system, network communication mould in a kind of memory 1005 of storage medium
Block, Subscriber Interface Module SIM and user behavior data processing routine.
In equipment shown in Fig. 1, network interface 1004 is mainly used for connecting outer net, carries out data with other network equipments
Communication；User interface 1003 is mainly used for connecting user equipment, carries out data communication with equipment；Present device passes through processor
The user behavior data processing routine stored in 1001 calling memories 1005, and execute user's row provided in an embodiment of the present invention
For the implementation method of data processing.
Based on above-mentioned hardware configuration, user behavior data processing method embodiment of the present invention is proposed.
It is the flow diagram of user behavior data processing method first embodiment of the present invention referring to Fig. 2, Fig. 2.
In the first embodiment, the user behavior data processing method the following steps are included:
Step S10 calls user data capture program, acquires user behavior information when user enters experiment layer.
It should be noted that the executing subject of the present embodiment is client, including computer etc., the user data acquires journey
Sequence can be the Software Development Kit (Software Development Kit, SDK) being located in the client, can also be it
His metadata acquisition tool, the present embodiment to this with no restriction, in the present embodiment, by taking the SDK tool for being located at client as an example into
Row explanation.
In the present embodiment, the user behavior information is the behavioural information of user to be acquired by SDK tool, such as click
Equal behaviors event only simply acquires the behavioural information of user since SDK can not identify behavioural information, can not
The behavioural information of user is analyzed, in the initial state, SDK needs the user behavior information of acquisition pushing to service
Device is analyzed by behavioural information of the server to user, and analysis result is fed back to client, to keep client real
Now to the identification of user behavior.
Step S20, the connection status of judgement and server, when being normal with the connection status of server, by the use
Family behavioural information pushes to server, so that the server extracts the default label information in the user behavior information, root
Classify according to the default label information to the corresponding user of the user behavior information, and classification results are sent.
It is understood that as shown in figure 3, user's row can will be acquired in no network environment in the SDK that client is arranged
It is information preservation in local, and when there is network, by the user behavior information active push of acquisition to server, to realize use
The local of family information saves, without sending all user behavior information, to mitigate the operating pressure of server.
In the present embodiment, the server can carry out tag extraction, the default label according to the behavioural information of user
Information is label information relevant to user behavior information, can be realized by the label information and be divided user behavior information
Analysis, such as the default label information extracted in user behavior information includes ID=100, so as to true from the default label information
Determine the behavioural information of user, such as ID=100 indicates that user has carried out click behavior, in current experiment logic, shows user
Perform current operation, it is interested in the next page of the current page, so as to from the behavioural information of user realize pair
The classification of user, such as in purchase page, lower one page is the purchase information about fruit, user clicks the bright use of next page table
Family is interested in purchase fruit, if next logic is purchase daily necessity, user performs the behavior of click, and explanation is worked as
Preceding user is interested in purchase daily necessity, to realize the classification to user by the analysis of user behavior information.
Step S30 receives the classification results, is screened according to the classification results to the user behavior information,
The behavioural information of target user after screening is pushed into the server.
In the present embodiment, by the classification to user behavior data, to obtain corresponding classification results, and will be described
Classification results are sent to client, thus make client can the more targeted behavioural information for obtaining user, and by the row
Server is pushed to for information, avoids unworthy behavioral data being sent to server in real time, to increase the fortune of server
Row pressure.
It should be noted that can be classified by three aspects when the behavioural information to user is classified, first
A single user operation behavior puts on corresponding label by the behavioural information to each user, to realize the knowledge to different user
Not, it is analyzed by the behavioural information to each user, obtains the personal interest information of active user, judge that the individual is emerging
Whether interesting information is related to current experiment information, is screened by the agenda of user to user to realize.
It is understood that the operation behavior information may be based on the same operation behavior of similar and different user, example
Such as the experimental analysis of the house property page, so that the user behavior information that need to only obtain house property information is analyzed, to realize
Classification to user interest information.
In the present embodiment, the record that user behavior information can be also carried out by random sampling, by recording random sampling
User behavior information, to realize the record of multi-faceted user behavior data.
In the concrete realization, in order to more effectively reduce the operating pressure of server, in server processes starting, pre- Shen
Please maximum accounting memory headroom and record time, preferentially record behavior using memory headroom, when behavior reach the space upper limit or
When person reaches the record time, carries out a hard disk write operation record local file and empty memory, sent to statistical server
Request is collected, waits statistical server to obtain statistical data, is voluntarily dispatched by statistical server, collect statistics during idle time
Data, wherein the statistical server only needs simple task queue and supports secure file transportation protocol (Secure File
Transfer Protocol, SFTP) agreement, it is synchronized with destination server, follow-up work is completed, to realize server
The distributed method of operation, reach reduce server operating pressure.
The present embodiment through the above scheme, is analyzed by user behavior information of the server to acquisition, and will analysis
As a result it is sent, effective user behavior information need to only be sent in client by classification results, without that will adopt
All behavioural informations of collection are pushed, to reduce the operating pressure of server, improve the overall performance of system.
Further, as shown in figure 4, proposing that user behavior data processing method second of the present invention is real based on first embodiment
Example is applied, in the present embodiment, the user data capture program is the Software Development Kit that program integrates；
The step S10, comprising:
Step S101 calls Software Development Kit, obtains user behavior information when user enters experiment layer.
In the present embodiment, by the way that the Software Development Kit is arranged in client, pass through the Software Development Tools
Packet is realized to the acquisition of data and the preservation of data and push.
Continue the user behavior data as shown in figure 3, SDK tool acquisition user's using terminal of client, and by user
Behavioral data active push to server so that the server filters and use user data, and communicating for the first time at present
It sends out behavior interested and obtains local record to the SDK, to realize identification of the client to user behavior information.
Further, before the step S101, the method also includes:
Step S102 obtains write instruction, extracts Software Development Kit and writing address in said write instruction
The Software Development Kit is written according to said write address information for information.
Further, the step S20, comprising:
The connection status of judgement and server believes the user behavior when being abnormal with the connection status of server
Breath is stored in local；
It should be noted that the current connection state is the connection status of client and server, in currently connection shape
When state is abnormal, the SDK of the client setting can be by the user behavior information preservation of acquisition in local, to guarantee in no net
In the case where network, the preservation to data is realized.
The connection status of real-time detection and server, when being normal with the connection status of server, by what is locally saved
The user behavior information pushes to server.
In the concrete realization, can the current connection status of real-time detection, such as can pass through send network connecting request to take
Business device, judges whether the connection status for receiving server feedback, in the feedback result for not receiving server, or default
The feedback result for not receiving server in period then shows to be currently not-connected status, in the connection for receiving server
When successful feedback result, the user behavior information of acquisition can be pushed to the server, to realize server to user
The judgement of behavioural information.
Further, before the step S20, the method also includes:
Judge whether the relation mapping table for having the default label Yu the user behavior information；
It should be noted that the relation mapping table is to record default label information pass corresponding with user behavior information
System, such as default label information are ID=100, and corresponding user behavior information is click event, to pass through relation mapping table
Lookup, realize identification to user behavior information.
When there being the relation mapping table of the default label and the user behavior information, the relation mapping table is sent out
It send to the server, so that the server searches corresponding use in the relation mapping table according to the default label information
Family behavioural information.
It is understood that the relation mapping table in said write instruction is extracted, by the pass by obtaining write instruction
It is that mapping table is stored in predeterminable area, in the present embodiment, the relation mapping table is storable in server local, can also store
In other storage regions, is realized by accessing other storage regions to the calling of relation mapping table, be stored in server local
When, it is logical according to the label information by the way that the relation mapping table of label with corresponding behavioural information is stored in advance on the server
Cross the behavioural information that the relation mapping table finds corresponding user.
Scheme provided in this embodiment extracts the label information in user behavior information by server, passes through the mark
Identification of the information realization to user behavior information is signed, and is classified to user behavior information, realizes the analysis to user behavior.
Further, as shown in figure 5, being proposed at user behavior data of the present invention based on the first embodiment or the second embodiment
Reason method 3rd embodiment is illustrated based on first embodiment in the present embodiment, before the step S20, the method
Further include:
Step S201 obtains the user behavior information, and the user behavior information is compared with default general data
Compared with determining destination data location information according to comparison result.
It should be noted that the default general data be the comparison data with keyword, by it is described preset it is general
Data are analysed and compared with current user behavior information, are analyzed to realize the data of user behavior information, such as mark
Information is signed, is compared by general label information data with user behavior information, to obtain the user behavior information
The position of middle label information.
In the concrete realization, it cannot achieve the analysis to user behavior information in the SDK of client setting, but can will use
Family behavioural information label presets label, the identification to different user behavioural information is realized by the default label, in order to put on
Default label information can carry out data analysis to user behavior information first, find the position for putting on default label, obtain
The enterprising row label in target position mark.
Step S202 extracts the attribute information in the destination data location information, will be default in the attribute information
Field is set as default label information.
In the concrete realization, in order to realize the identification to user behavior information, by advance to acquisition user behavior information
Put on identification label, such as put on ID=110 etc., and the user behavior information for putting on label is sent to server, server
It can be by extracting the label information in user behavior information, to realize the identification to user behavior information.
Further, the step S30, comprising:
Step S301 receives the classification results, according to the classification results to the corresponding use of the user behavior information
It is screened at family.
It should be noted that classification results are sent to client after server classifies to user behavior information
End, to make the SDK in client that can be identified according to behavioural information of the classification results to user, such as user
Classification, effective user's result can be sent to client, client need to only acquire the behavioural information of effective user, and will
Effective data-pushing is to server, to reduce the operating pressure of server.
Step S302 obtains the experimental rules of the experiment layer, will meet the behavior of the target user of the experimental rules
Information pushes to the server.
Further, the experimental rules include single user operation behavior, the same operation behavior of different user and with
At least one of machine sampling.
The step S302, comprising:
The experimental rules for obtaining the experiment layer, when the experimental rules are single user operation behavior, acquisition target is used
The user behavior information at family.
The experimental rules for obtaining the experiment layer are adopted when the experimental rules are the same operation behavior of different user
Collect the user behavior information of same operation behavior.
The experimental rules for obtaining the experiment layer extract the experimental rules when the experimental rules are random sampling
In sampling proportion information, according to the sampling proportion information collection user behavior information.
Scheme provided in this embodiment is filtered the behavioural information of user by default experimental rules, thus in visitor
The acquisition to effective user behavior information is realized at family end, avoids a large amount of invalid user behavior datas pushing to server,
The operating pressure of server is significantly reduced, system overall operation performance is improved.
The present invention further provides a kind of user behavior data processing units.
It is the functional block diagram of user behavior data processing unit first embodiment of the present invention referring to Fig. 6, Fig. 6.
In user behavior data processing unit first embodiment of the present invention, which includes:
Calling module 10, for when user enters experiment layer, calling user data capture program, acquisition user behavior letter
Breath.
It should be noted that the executing subject of the present embodiment is client, including computer etc., the user data acquires journey
Sequence can be the Software Development Kit (Software Development Kit, SDK) being located in the client, can also be it
His metadata acquisition tool, the present embodiment to this with no restriction, in the present embodiment, by taking the SDK tool for being located at client as an example into
Row explanation.
In the present embodiment, the user behavior information is the behavioural information of user to be acquired by SDK tool, such as click
Equal behaviors event only simply acquires the behavioural information of user since SDK can not identify behavioural information, can not
The behavioural information of user is analyzed, in the initial state, SDK needs the user behavior information of acquisition pushing to service
Device is analyzed by behavioural information of the server to user, and analysis result is fed back to client, to keep client real
Now to the identification of user behavior.
Pushing module 20 is incited somebody to action with the connection status of server when being normal with the connection status of server for judging
The user behavior information pushes to server, so that the server extracts the letter of the default label in the user behavior information
Breath, classifies to the corresponding user of the user behavior information according to the default label information, and classification results are carried out
It sends.
It is understood that as shown in figure 3, user's row can will be acquired in no network environment in the SDK that client is arranged
It is information preservation in local, and when there is network, by the user behavior information active push of acquisition to server, to realize use
The local of family information saves, without sending all user behavior information, to mitigate the operating pressure of server.
In the present embodiment, the server can carry out tag extraction, the default label according to the behavioural information of user
Information is label information relevant to user behavior information, can be realized by the label information and be divided user behavior information
Analysis, such as the default label information extracted in user behavior information includes ID=100, so as to true from the default label information
Determine the behavioural information of user, such as ID=100 indicates that user has carried out click behavior, in current experiment logic, shows user
Perform current operation, it is interested in the next page of the current page, so as to from the behavioural information of user realize pair
The classification of user, such as in purchase page, lower one page is the purchase information about fruit, user clicks the bright use of next page table
Family is interested in purchase fruit, if next logic is purchase daily necessity, user performs the behavior of click, and explanation is worked as
Preceding user is interested in purchase daily necessity, to realize the classification to user by the analysis of user behavior information.
Screening module 30, for receiving the classification results, according to the classification results to the user behavior information into
Row screening, pushes to the server for the behavioural information of the target user after screening.
In the present embodiment, by the classification to user behavior data, to obtain corresponding classification results, and will be described
Classification results are sent to client, thus make client can the more targeted behavioural information for obtaining user, and by the row
Server is pushed to for information, avoids unworthy behavioral data being sent to server in real time, to increase the fortune of server
Row pressure.
It should be noted that can be classified by three aspects when the behavioural information to user is classified, first
A single user operation behavior puts on corresponding label by the behavioural information to each user, to realize the knowledge to different user
Not, it is analyzed by the behavioural information to each user, obtains the personal interest information of active user, judge that the individual is emerging
Whether interesting information is related to current experiment information, is classified by the agenda of user to user to realize.
It is understood that the operation behavior information may be based on the same operation behavior of similar and different user, example
Such as the experimental analysis of the house property page, so that the user behavior information that need to only obtain house property information is analyzed, to realize
Classification to user interest information.
In the present embodiment, the record that user behavior information can be also carried out by random sampling, by recording random sampling
User behavior information, to realize the record of multi-faceted user behavior data.
In the concrete realization, in order to more effectively reduce the operating pressure of server, in server processes starting, pre- Shen
Please maximum accounting memory headroom and record time, preferentially record behavior using memory headroom, when behavior reach the space upper limit or
When person reaches the record time, carries out a hard disk write operation record local file and empty memory, sent to statistical server
Request is collected, waits statistical server to obtain statistical data, is voluntarily dispatched by statistical server, collect statistics during idle time
Data, wherein the statistical server only needs simple task queue and supports secure file transportation protocol (Secure File
Transfer Protocol, SFTP) agreement, it is synchronized with destination server, follow-up work is completed, to realize server
The distributed method of operation, reach reduce server operating pressure.
The present embodiment through the above scheme, is analyzed by user behavior information of the server to acquisition, and will analysis
As a result it is sent, effective user behavior information need to only be sent in client by classification results, without that will adopt
All behavioural informations of collection are pushed, to reduce the operating pressure of server, improve the overall performance of system.
In addition, to achieve the above object, the present invention also proposes a kind of equipment, the equipment include: memory, processor and
It is stored in the user behavior data processing routine that can be run on the memory and on the processor, the user behavior number
The step of being arranged for carrying out user behavior data processing method as described above according to processing routine.
In addition, the embodiment of the present invention also proposes a kind of storage medium, user behavior data is stored on the storage medium
Processing routine, the user behavior data processing routine are executed by processor user behavior data processing method as described above
The step of.
It should be noted that, in this document, the terms "include", "comprise" or its any other variant are intended to non-row
His property includes, so that the process, method, article or the device that include a series of elements not only include those elements, and
And further include other elements that are not explicitly listed, or further include for this process, method, article or device institute it is intrinsic
Element.In the absence of more restrictions, the element limited by sentence "including a ...", it is not excluded that including being somebody's turn to do
There is also other identical elements in the process, method of element, article or device.
The serial number of the above embodiments of the invention is only for description, does not represent the advantages or disadvantages of the embodiments.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can be realized by means of software and necessary general hardware platform, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on this understanding, technical solution of the present invention substantially in other words does the prior art
The part contributed out can be embodied in the form of software products, which is stored in one as described above
In computer readable storage medium (such as ROM/RAM, magnetic disk, CD), including some instructions are with so that an intelligent terminal is set
Standby (can be mobile phone, computer, terminal device, air conditioner or network-termination device etc.) executes each embodiment of the present invention
The method.
The above is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of user behavior data processing method, which is characterized in that the user behavior data processing method includes:
When user enters experiment layer, user data capture program is called, user behavior information is acquired；
The connection status of judgement and server pushes away the user behavior information when being normal with the connection status of server
It send to server, so that the server extracts the default label information in the user behavior information, according to the pre- bidding
Label information classifies to the corresponding user of the user behavior information, and classification results are sent；
The classification results are received, the user behavior information are screened according to the classification results, by the mesh after screening
The behavioural information of mark user pushes to the server.
2. user behavior data processing method as described in claim 1, which is characterized in that the user data capture program is
The integrated Software Development Kit of program；
When user enters experiment layer, user data capture program is called, user behavior information is acquired, comprising:
When user enters experiment layer, Software Development Kit is called, user behavior information is obtained；
It is described user enter experiment layer when, call Software Development Kit, obtain user behavior information before, the method is also
Include:
Write instruction is obtained, Software Development Kit and writing address information in said write instruction are extracted, according to described
The Software Development Kit is written writing address information.
3. user behavior data processing method as described in claim 1, which is characterized in that the connection of the judgement and server
The user behavior information is pushed to server when being normal with the connection status of server by state, comprising:
The connection status of judgement and server protects the user behavior information when being abnormal with the connection status of server
There are locals；
The connection status of real-time detection and server, when being normal with the connection status of server, described in locally saving
User behavior information pushes to server.
4. user behavior data processing method as claimed any one in claims 1 to 3, which is characterized in that it is described judgement with
The user behavior information is pushed to server when being normal with the connection status of server by the connection status of server
Before, the method also includes:
Judge whether the relation mapping table for having the default label Yu the user behavior information；
When there being the relation mapping table of the default label and the user behavior information, the relation mapping table is sent to
The server, so that the server searches corresponding user's row in the relation mapping table according to the default label information
For information.
5. user behavior data processing method as claimed any one in claims 1 to 3, which is characterized in that it is described judgement with
The user behavior information is pushed to server when being normal with the connection status of server by the connection status of server
Before, the method also includes:
The user behavior information is obtained, the user behavior information is compared with default general data, is tied according to comparing
Fruit determines destination data location information；
The attribute information in the destination data location information is extracted, the preset field in the attribute information is set as pre- bidding
Sign information.
6. user behavior data processing method as claimed any one in claims 1 to 3, which is characterized in that the reception institute
Classification results are stated, the user behavior information are screened according to the classification results, by the row of the target user after screening
The server is pushed to for information, comprising:
The classification results are received, the corresponding user of the user behavior information is screened according to the classification results；
The experimental rules for obtaining the experiment layer, the behavioural information for meeting the target user of the experimental rules are pushed to described
Server.
7. user behavior data processing method as claimed in claim 6, which is characterized in that the experimental rules include single user
At least one of operation behavior, the same operation behavior of different user and random sampling.
The experimental rules for obtaining the experiment layer, the behavioural information for meeting the target user of the experimental rules is pushed to
The server, comprising:
The experimental rules for obtaining the experiment layer acquire target user's when the experimental rules are single user operation behavior
User behavior information；
The experimental rules for obtaining the experiment layer acquire phase when the experimental rules are the same operation behavior of different user
The user behavior information of biconditional operation behavior；
The experimental rules for obtaining the experiment layer are extracted in the experimental rules when the experimental rules are random sampling
Sampling proportion information, according to the sampling proportion information collection user behavior information.
8. a kind of user behavior data processing unit, which is characterized in that the user behavior data processing unit includes:
Calling module, for calling user data capture program, acquiring user behavior information when user enters experiment layer；
Pushing module, for judge with the connection status of server, with the connection status of server be it is normal when, by the use
Family behavioural information pushes to server, so that the server extracts the default label information in the user behavior information, root
Classify according to the default label information to the corresponding user of the user behavior information, and classification results are sent；
Screening module screens the user behavior information according to the classification results for receiving the classification results,
The behavioural information of target user after screening is pushed into the server.
9. a kind of equipment, which is characterized in that the equipment includes: memory, processor and is stored on the memory and can
The user behavior data processing routine run on the processor, the user behavior data processing routine be arranged for carrying out as
Described in any one of claims 1 to 7 the step of user behavior data processing method.
10. a kind of storage medium, which is characterized in that user behavior data processing routine is stored on the storage medium, it is described
The user behavior number as described in any one of claims 1 to 7 is realized when user behavior data processing routine is executed by processor
The step of according to processing method.
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