CN108540314A - The restoring method and system of user behavior - Google Patents
The restoring method and system of user behavior Download PDFInfo
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- CN108540314A CN108540314A CN201810237534.4A CN201810237534A CN108540314A CN 108540314 A CN108540314 A CN 108540314A CN 201810237534 A CN201810237534 A CN 201810237534A CN 108540314 A CN108540314 A CN 108540314A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/04—Network management architectures or arrangements
- H04L41/044—Network management architectures or arrangements comprising hierarchical management structures
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/069—Management of faults, events, alarms or notifications using logs of notifications; Post-processing of notifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/04—Processing captured monitoring data, e.g. for logfile generation
- H04L43/045—Processing captured monitoring data, e.g. for logfile generation for graphical visualisation of monitoring data
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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
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
Abstract
The present invention relates to user behavior analysis fields, and in particular to the restoring method and system of user behavior, the method includes：Acquisition layer acquires the initial data that user generates and is committed to accumulation layer and stores；The initial data that user in accumulation layer generates is carried out analysis calculating by analysis layer, and the analysis data that analysis is calculated are stored to accumulation layer；Acquisition layer carries out customer behavior modeling according to the analysis data that analysis layer analysis is calculated, and the analogue data that customer behavior modeling obtains is stored to accumulation layer；Supervisory layers carry out data visualization according to result data in accumulation layer and scenario reduction, the result data include：Analyze data and analogue data.The present invention provides the restoring method and system of user behavior, can accurately and efficiently restore user behavior.
Description
Technical field
The present invention relates to user behavior analysis fields, and in particular to the restoring method and system of user behavior.
Background technology
Internet site directly facing be numerous netizens user, basing oneself upon one of basic for website is exactly user volume,
Usually it is embodied in the retention of La Xin and old user.How to be preferably so user service, then becomes website operation and need to solve
Certainly the problem of.
Under normal conditions, user is when having found a problem on website, it will usually the operation feedback problem of website is contacted, this
Shi Yunying can be gone to solve by following steps；First, see whether product design the problem of, allow user to produce misunderstanding,
Right rear line is explained；Secondly, if not product level problem, then whether can reappear problem, then feed back information to again if seeing
Product, technology classmate investigate.At this point, technology can only be determined in the problem of investigation by the description or sectional drawing of operation
Position, it is sometimes desirable to some additional information, and need to be linked up repeatedly with user, investigation burden is not only increased, but also trouble is used
Family.
User's operation behavior is restored by page screenshot, is to specify operation behavior under line, carries out backstage simulation, finally by
Report mode exports simulation behavior.There is also following disadvantages in such a way that page screenshot restores user's operation behavior：
(1) some particular user cannot be directed to and carries out problem investigation；
(2) user's browsing process of business diagnosis, the not necessarily true process for using of user, investigation problem efficiency compared with
It is low；
(3) to investigate problem by sectional drawing less efficient, cannot reappear the problem of user may feed back completely；
(4) the problem of sectional drawing is omitted is had when provisional bullet layer occurs in the page due to the customization of sectional drawing.
Invention content
The technical problem to be solved in the present invention is, overcomes the shortcomings of existing technology, provides the reduction side of user behavior
Method and system can accurately and efficiently restore user behavior.
To reach above-mentioned technical purpose, on the one hand, the restoring method of user behavior provided by the invention, including：
Acquisition layer acquires the initial data that user generates and is committed to accumulation layer and stores；
The initial data that user in accumulation layer generates is carried out analysis calculating, and the analysis that analysis is calculated by analysis layer
Data are stored to accumulation layer；
Acquisition layer carries out customer behavior modeling according to the analysis data that are calculated of analysis layer analysis, and by user behavior mould
Quasi- obtained analogue data is stored to accumulation layer；
Supervisory layers carry out data visualization according to result data in accumulation layer and scenario reduction, the result data include：
Analyze data and analogue data.
On the other hand, user behavior provided by the invention goes back original system, including：Acquisition layer, accumulation layer, analysis layer and prison
Control layer；The acquisition layer includes：Data module and analog module；
The data module, initial data for acquiring user's generation are simultaneously committed to accumulation layer and store；
The analysis layer, the initial data for generating user in accumulation layer carries out analysis calculating, and analysis is calculated
Obtained analysis data are stored to accumulation layer；
The analog module, the analysis data for being calculated according to analysis layer analysis carry out customer behavior modeling, and
The analogue data that customer behavior modeling obtains is stored to accumulation layer；
The accumulation layer, initial data and result data for storing user's generation；The result data includes：Analysis
Data and analogue data；
The supervisory layers, for carrying out data visualization and scenario reduction according to result data in accumulation layer.
In the present invention, effective to restore by the mutual cooperation between acquisition layer, accumulation layer, analysis layer and supervisory layers
User behavior, the data generated when surfing the Internet to user have carried out scenario reduction and data visualization.It, can be with by scenario reduction
It helps product, run the customer problem in position line；It, can be with the average access of counting user by analysis after data visualization
Depth, and then guide product carries out product decisions.
Description of the drawings
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the method flow schematic diagram of the embodiment of the present invention；
Fig. 2 is the system structure diagram of the embodiment of the present invention；
Fig. 3 is the structural schematic diagram of acquisition layer in the embodiment of the present invention；
Fig. 4 is the workflow schematic diagram of system in the embodiment of the present invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
As shown in Figure 1, the restoring method of user behavior of the present invention, including：
101, acquisition layer acquires the initial data of user's generation and is committed to accumulation layer and stores；
102, the initial data that user in accumulation layer generates is carried out analysis calculating by analysis layer, and analysis is calculated
Analysis data are stored to accumulation layer；
103, acquisition layer carries out customer behavior modeling according to the analysis data that are calculated of analysis layer analysis, and by user's row
It is stored to accumulation layer to simulate obtained analogue data；
104, supervisory layers carry out data visualization and scenario reduction, the result data packet according to result data in accumulation layer
It includes：Analyze data and analogue data.
Further, the initial data of user's generation includes：User behavior record, user information and use environment number
According to；
The acquisition layer acquires the initial data that user generates and is committed to accumulation layer and stores, and specifically includes：
Uid is proved according to user identity and can carry out the white list of data acquisition, in the environment of Wireless Fidelity wifi, from
Client acquires the initial data that user generates；
The initial data that user generates is committed to accumulation layer to store in the form of daily record.
Further, the initial data that user in accumulation layer generates is carried out analysis calculating by the analysis layer, and will be divided
It analyses the analysis data being calculated to store to accumulation layer, specifically include：
The initial data that user generates in accumulation layer is extracted, and carries out analysis meter calculation；The analysis calculates：Key refers to
Mark analysis, page flow analysis and the analysis of behavior flow point；
The data that analysis is calculated are stored as analysis data to accumulation layer.
Still further, the acquisition layer carries out customer behavior modeling according to the analysis data that analysis layer analysis obtains, and
The analogue data that customer behavior modeling obtains is stored to accumulation layer, is specifically included：
According to the data that behavior flow point is analysed in analysis layer, customer behavior modeling is carried out；
The data that customer behavior modeling obtains are stored as analogue data to accumulation layer.
Also further, the supervisory layers carry out data visualization and scenario reduction, tool according to result data in accumulation layer
Body includes：
Data visualization is carried out according to data are analyzed in accumulation layer；The element of the data visualization includes：Page flow, row
For stream and key index；
Scenario reduction is carried out according to analogue data in accumulation layer.
As shown in Figures 2 and 3, user behavior provided by the invention goes back original system, including：Acquisition layer 11, accumulation layer 12,
Analysis layer 13 and supervisory layers 14；The acquisition layer 11 includes：Data module 111 and analog module 112；
The data module 111 acquires the initial data of user's generation and is committed to accumulation layer and deposits for acquisition layer
Storage；
The initial data that user in accumulation layer generates is carried out analysis calculating by the analysis layer 13 for analysis layer, and will
The analysis data being calculated are analyzed to store to accumulation layer；
The analog module 112, the analysis data for being calculated according to analysis layer analysis carry out customer behavior modeling,
And the analogue data that customer behavior modeling obtains is stored to accumulation layer；
The accumulation layer 12, initial data and result data for storing user's generation；The result data includes：Point
Analyse data and analogue data；
The supervisory layers 14, for carrying out data visualization and scenario reduction according to result data in accumulation layer.
In the above-mentioned technical solutions, the initial data of user's generation includes：User behavior record and makes user information
Use environmental data；
The data module 111, is specifically used for：
Uid is proved according to user identity and can carry out the white list of data acquisition, in the environment of Wireless Fidelity wifi, from
Client acquires the initial data that user generates；
The initial data that user generates is committed to accumulation layer to store in the form of daily record.
In the above-mentioned technical solutions, the analysis layer 13, is specifically used for：
The initial data that user generates in accumulation layer is extracted, and carries out analysis meter calculation；The analysis calculates：Key refers to
Mark analysis, page flow analysis and the analysis of behavior flow point；
The data that analysis is calculated are stored as analysis data to accumulation layer.
In the above-mentioned technical solutions, the analog module 112, it is specific to use：
According to the data that behavior flow point is analysed in analysis layer, customer behavior modeling is carried out；
The data that customer behavior modeling obtains are stored as analogue data to accumulation layer.
In the above-mentioned technical solutions, the supervisory layers 14, are specifically used for：
Data visualization is carried out according to data are analyzed in accumulation layer；The element of the data visualization includes：Page flow, row
For stream and key index；
Scenario reduction is carried out according to analogue data in accumulation layer.
In the present invention, by the mutual cooperation between acquisition layer 11, accumulation layer 12, analysis layer 13 and supervisory layers 14, have
Effect reduces user behavior, and the data generated when surfing the Internet to user have carried out scenario reduction and data visualization.Pass through scene
Reduction can help product, run the customer problem in position line；It, can be with counting user by analysis after data visualization
Average access depth, and then guide product carries out product decisions.
Above-mentioned technical proposal of the embodiment of the present invention is described in detail below in conjunction with application example：
101, acquisition layer acquires the initial data of user's generation and is committed to accumulation layer and stores；Specifically：
Uid is proved according to user identity and can carry out the white list of data acquisition, in the environment of Wireless Fidelity wifi, from
Client acquires the initial data that user generates；
The white list is to formulate completion in advance before acquisition layer gathered data.It will gathered data and data
Effective user is fabricated to white list according to the uid of user.
The initial data that user generates is committed to accumulation layer to store in the form of daily record.
When acquisition layer acquires the initial data that user generates, consumes to reduce the flow of client of user, subtract simultaneously
Light service end data stores pressure, can be acquired in the environment of with wifi.
The initial data that the user generates includes：User behavior record, user information and use environment data.
102, the initial data that user in accumulation layer generates is carried out analysis calculating by analysis layer, and analysis is calculated
Analysis data are stored to accumulation layer；Specifically：
The result data includes：Analyze data and analogue data；
The data that user generates in accumulation layer are extracted, and carry out analysis meter calculation；The analysis calculates：Key index point
Analysis, page flow analysis and the analysis of behavior flow point；
The data that analysis is calculated are stored to accumulation layer as analysis data.
The data that analysis layer can periodically generate user in accumulation layer are analyzed and are processed, and main work is by user
The data of generation are integrated (belonging to atomic data), and the result data of the page flow based on time domain session is eventually formed.So
Post analysis layer stores the result data again to accumulation layer (data persistence).
103, acquisition layer carries out customer behavior modeling according to the analysis data that are calculated of analysis layer analysis, and by user's row
It is stored to accumulation layer to simulate obtained analogue data；Specifically：
According to the data that behavior flow point is analysed in analysis layer, customer behavior modeling is carried out；
The data that customer behavior modeling obtains are stored to accumulation layer as analogue data.
The result data includes：Analyze data and analogue data.
104, supervisory layers carry out data visualization and scenario reduction according to result data in accumulation layer；Specifically：
Data visualization is carried out according to data are analyzed in accumulation layer；The element of the data visualization includes：Page flow, row
For stream and key index；
Scenario reduction is carried out according to analogue data in accumulation layer.
Supervisory layers visualize the analysis data in accumulation layer, form page flow data, behavior flow data and key
Achievement data can visualize library by D3 and be drawn.
In the present invention, the unlimited technology stack of accumulation layer, it is only necessary to which the write-in and reading of data are provided.It can handle in real time
Count off evidence.
It should be understood that the particular order or level of the step of during disclosed are the examples of illustrative methods.Based on setting
Count preference, it should be appreciated that in the process the step of particular order or level can be in the feelings for the protection domain for not departing from the disclosure
It is rearranged under condition.Appended claim to a method is not illustratively sequentially to give the element of various steps, and not
It is to be limited to the particular order or level.
In above-mentioned detailed description, various features are combined together in single embodiment, to simplify the disclosure.No
This published method should be construed to reflect such intention, that is, the embodiment of theme claimed needs to compare
The more features of feature clearly stated in each claim.On the contrary, as appended claims is reflected
Like that, the present invention is in the state fewer than whole features of disclosed single embodiment.Therefore, appended claims
It is hereby expressly incorporated into detailed description, wherein each claim is used as alone the individual preferred embodiment of the present invention.
For so that any technical staff in the art is realized or using the present invention, above to disclosed embodiment into
Description is gone.To those skilled in the art；The various modifications mode of these embodiments will be apparent from, and this
The General Principle of text definition can also be suitable for other embodiments on the basis of not departing from the spirit and scope of the disclosure.
Therefore, the disclosure is not limited to embodiments set forth herein, but most wide with principle disclosed in the present application and novel features
Range is consistent.
Described above includes the citing of one or more embodiments.Certainly, in order to describe above-described embodiment and description portion
The all possible combination of part or method is impossible, but it will be appreciated by one of ordinary skill in the art that each implementation
Example can do further combinations and permutations.Therefore, embodiment described herein is intended to cover fall into the appended claims
Protection domain in all such changes, modifications and variations.In addition, with regard to the term used in specification or claims
The mode that covers of "comprising", the word is similar to term " comprising ", just as " including " solved in the claims as link word
As releasing.In addition, the use of any one of specification in claims term "or" being to indicate " non-exclusionism
Or ".
Those skilled in the art will also be appreciated that the various illustrative components, blocks that the embodiment of the present invention is listed
(illustrative logical block), unit and step can pass through the knot of electronic hardware, computer software, or both
Conjunction is realized.To clearly show that the replaceability (interchangeability) of hardware and software, above-mentioned various explanations
Property component (illustrative components), unit and step universally describe their function.Such work(
Can be that the design requirement for depending on specific application and whole system is realized by hardware or software.Those skilled in the art
Can be for each specific function of applying, the realization of various methods can be used described, but this realization is understood not to
Range beyond protection of the embodiment of the present invention.
Various illustrative logical blocks or unit described in the embodiment of the present invention can by general processor,
Digital signal processor, application-specific integrated circuit (ASIC), field programmable gate array or other programmable logic devices, discrete gate
Or described function is realized or is operated in transistor logic, the design of discrete hardware components or any of the above described combination.General place
It can be microprocessor to manage device, and optionally, which may be any traditional processor, controller, microcontroller
Device or state machine.Processor can also be realized by the combination of computing device, such as digital signal processor and microprocessor,
Multi-microprocessor, one or more microprocessors combine a digital signal processor core or any other like configuration
To realize.
The step of method described in the embodiment of the present invention or algorithm can be directly embedded into hardware, processor execute it is soft
The combination of part module or the two.Software module can be stored in RAM memory, flash memory, ROM memory, EPROM storages
Other any form of storaging mediums in device, eeprom memory, register, hard disk, moveable magnetic disc, CD-ROM or this field
In.Illustratively, storaging medium can be connect with processor, so that processor can read information from storaging medium, and
It can be to storaging medium stored and written information.Optionally, storaging medium can also be integrated into processor.Processor and storaging medium can
To be set in ASIC, ASIC can be set in user terminal.Optionally, processor and storaging medium can also be set to use
In different components in the terminal of family.
In one or more illustrative designs, above-mentioned function described in the embodiment of the present invention can be in hardware, soft
Part, firmware or the arbitrary of this three combine to realize.If realized in software, these functions can store and computer-readable
On medium, or with one or more instruction or code form be transmitted on the medium of computer-readable.Computer readable medium includes electricity
Brain storaging medium and convenient for allow computer program to be transferred to from a place telecommunication media in other places.Storaging medium can be with
It is that any general or special computer can be with the useable medium of access.For example, such computer readable media may include but
It is not limited to RAM, ROM, EEPROM, CD-ROM or other optical disc storage, disk storage or other magnetic storage devices or other
What can be used for carry or store with instruct or data structure and it is other can be by general or special computer or general or specially treated
The medium of the program code of device reading form.In addition, any connection can be properly termed computer readable medium, example
Such as, if software is to pass through a coaxial cable, fiber optic cables, double from a web-site, server or other remote resources
Twisted wire, Digital Subscriber Line (DSL) are defined with being also contained in for the wireless way for transmitting such as example infrared, wireless and microwave
In computer readable medium.The disk (disk) and disk (disc) includes compress disk, radium-shine disk, CD, DVD, floppy disk
And Blu-ray Disc, disk is usually with magnetic duplication data, and disk usually carries out optical reproduction data with laser.Combinations of the above
It can also be included in computer readable medium.
Above-described specific implementation mode has carried out further the purpose of the present invention, technical solution and advantageous effect
It is described in detail, it should be understood that the foregoing is merely the specific implementation mode of the present invention, is not intended to limit the present invention
Protection domain, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should all include
Within protection scope of the present invention.
Claims (10)
1. a kind of restoring method of user behavior, which is characterized in that the method includes：
Acquisition layer acquires the initial data that user generates and is committed to accumulation layer and stores；
The initial data that user in accumulation layer generates is carried out analysis calculating, and the analysis data that analysis is calculated by analysis layer
It stores to accumulation layer；
Acquisition layer carries out customer behavior modeling according to the analysis data that analysis layer analysis is calculated, and customer behavior modeling is obtained
To analogue data store to accumulation layer；
Supervisory layers carry out data visualization according to result data in accumulation layer and scenario reduction, the result data include：Analysis
Data and analogue data.
2. the restoring method of user behavior according to claim 1, which is characterized in that the initial data that the user generates
Including：User behavior record, user information and use environment data；
The acquisition layer acquires the initial data that user generates and is committed to accumulation layer and stores, and specifically includes：
Uid is proved according to user identity and can carry out the white list of data acquisition, in the environment of Wireless Fidelity wifi, from client
The initial data that end acquisition user generates；
The initial data that user generates is committed to accumulation layer to store in the form of daily record.
3. the restoring method of user behavior according to claim 1, which is characterized in that the analysis layer will be used in accumulation layer
The initial data that family generates carries out analysis calculating, and the analysis data that analysis is calculated are stored to accumulation layer, specifically includes：
The initial data that user generates in accumulation layer is extracted, and carries out analysis meter calculation；The analysis calculates：Key index point
Analysis, page flow analysis and the analysis of behavior flow point；
The data that analysis is calculated are stored as analysis data to accumulation layer.
4. the restoring method of user behavior according to claim 3, which is characterized in that the acquisition layer is according to analysis layer point
It analyses the analysis data being calculated and carries out customer behavior modeling, and the analogue data that customer behavior modeling obtains is stored to storage
Layer, specifically includes：
According to the data that behavior flow point is analysed in analysis layer, customer behavior modeling is carried out；
The data that customer behavior modeling obtains are stored as analogue data to accumulation layer.
5. the restoring method of user behavior according to claim 4, which is characterized in that the supervisory layers are according in accumulation layer
Result data carries out data visualization and scenario reduction, specifically includes：
Data visualization is carried out according to data are analyzed in accumulation layer；The element of the data visualization includes：Page flow, behavior stream
And key index；
Scenario reduction is carried out according to analogue data in accumulation layer.
6. a kind of user behavior goes back original system, which is characterized in that the system comprises：Acquisition layer, accumulation layer, analysis layer and prison
Control layer；The acquisition layer includes：Data module and analog module；
The data module, initial data for acquiring user's generation are simultaneously committed to accumulation layer and store；
The analysis layer, the initial data for generating user in accumulation layer carries out analysis calculating, and analysis is calculated
Analysis data store to accumulation layer；
The analog module, the analysis data for being calculated according to analysis layer analysis carry out customer behavior modeling, and will use
The analogue data that family Behavior modeling obtains is stored to accumulation layer；
The accumulation layer, initial data and result data for storing user's generation；The result data includes：Analyze data
And analogue data；
The supervisory layers, for carrying out data visualization and scenario reduction according to result data in accumulation layer.
7. user behavior according to claim 6 goes back original system, which is characterized in that the initial data that the user generates
Including：User behavior record, user information and use environment data；
The data module, is specifically used for：
Uid is proved according to user identity and can carry out the white list of data acquisition, in the environment of Wireless Fidelity wifi, from client
The initial data that end acquisition user generates；
The initial data that user generates is committed to accumulation layer to store in the form of daily record.
8. user behavior according to claim 6 goes back original system, which is characterized in that the analysis layer is specifically used for：
The initial data that user generates in accumulation layer is extracted, and carries out analysis meter calculation；The analysis calculates：Key index point
Analysis, page flow analysis and the analysis of behavior flow point；
The data that analysis is calculated are stored as analysis data to accumulation layer.
9. user behavior according to claim 8 goes back original system, which is characterized in that the analog module is specifically used for：
According to the data that behavior flow point is analysed in analysis layer, customer behavior modeling is carried out；
The data that customer behavior modeling obtains are stored as analogue data to accumulation layer.
10. user behavior according to claim 9 goes back original system, which is characterized in that the supervisory layers are specifically used for：
Data visualization is carried out according to data are analyzed in accumulation layer；The element of the data visualization includes：Page flow, behavior stream
And key index；
Scenario reduction is carried out according to analogue data in accumulation layer.
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