CN105007184B - The acquisition methods of user behavior custom - Google Patents
The acquisition methods of user behavior custom Download PDFInfo
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- CN105007184B CN105007184B CN201510433739.6A CN201510433739A CN105007184B CN 105007184 B CN105007184 B CN 105007184B CN 201510433739 A CN201510433739 A CN 201510433739A CN 105007184 B CN105007184 B CN 105007184B
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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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/08—Network architectures or network communication protocols for network security for authentication of entities
- H04L63/0853—Network architectures or network communication protocols for network security for authentication of entities using an additional device, e.g. smartcard, SIM or a different communication terminal
Abstract
The present invention provides a kind of acquisition methods of user behavior custom, include the following steps：At least one sub- account is established under user account, every sub- account corresponding record user uses the behavioral data that different user terminals log in, each user terminal to have unique identifier；The unique identifier of user terminal used in logging in is read after user account login, and the user behavior of this login is recorded to the corresponding sub- account of the user terminal；The data source that the longest sub- account of usage time under the user account is accustomed to as active account, the user behavior as the user account.The advantage of the invention is that; sub- account is set up for different user terminals; it would generally be with different terminals come the case where login using different users; different sub- accounts is established for different user terminals; it is inaccurate to avoid user behavior custom data caused by multiple users share account, and does not interfere with the use process of user.
Description
Technical field
The present invention relates to the acquisition methods that field of computer technology more particularly to a kind of user behavior are accustomed to.
Background technology
The behavioural habits for obtaining user are the highly desirable acquisition information of internet information supplier under network environment.By obtaining
The behavioural habits at family are taken, advertisement pushing can be made more accurate, more accurate analysis is made to the audience of internet product,
And charging policy can also be optimized etc..
But just can open the website of account, especially video website for needing to pay, there are some users to save
About paying wages, it may appear that several personal the case where registering an account and being used in conjunction with, such as spouses register an account, or
Relationship will be good several classmates or colleague registration one account.In this way in addition to make web site operator by economic loss other than, more
It is important that user behavior custom can not be obtained accurately.Such as a case where account is co-registered with for spouses, such as
What the data of fruit account was filled in is the information of wife, and husband often browses the video of some wars and suspense class, this will make
Backstage generates erroneous judgement, it is believed that this kind of video receives the concern of a women member, and actual conditions are really not so.It is similar
If such case largely generates, interference will be generated to the statistical result on backstage.
A kind of settling mode in the prior art is to bind user account with terminal, and the user terminal of binding is only allowed to step on
Record the account.The shortcomings that the method, is that the user to normal use brings inconvenience.Especially when user's changes terminal, such as
The mobile phone renewed can bring troublesome operation, to influence the usage experience of user.
Therefore, if in the case where not influencing user experience, the more accurate behavioural habits for obtaining user, are existing
Technology urgent problem to be solved.
Invention content
The technical problem to be solved by the invention is to provide a kind of acquisition methods of user behavior custom, can be in not shadow
In the case of ringing user experience, the more accurate behavioural habits for obtaining user.
To solve the above-mentioned problems, the present invention provides a kind of acquisition methods of user behavior custom, include the following steps：
At least one sub- account is established under user account, every sub- account corresponding record user uses the row that different user terminals log in
For data, each user terminal has unique identifier；User terminal used in logging in is read after user account login
Unique identifier, and the user behavior of this login is recorded to the corresponding sub- account of the user terminal；By user's account
The data source that the longest sub- account of usage time is accustomed to as active account, the user behavior as the user account under family.
Optionally, one kind in IMEI code and mac address of nic of the unique identifier selected from user terminal.
Optionally, using the longest sub- account of usage time under the user account as the step of active account, further
Including：The usage time of user account is divided into multiple periods；It is longest that counting use time is distinguished within each period
Sub- account is accustomed to data as in the period as effective sub- account in the period, and using the user behavior of the sub- account
Valid data；Summarize the valid data in each period, the user behavior as the user account is accustomed to data.
Optionally, using the longest sub- account of usage time under the user account as the step of active account, further
Including：Determine the longest sub- account of usage time under user account；Judge user's row between other sub- accounts and the sub- account
For the consistency of data；It also regard the degree of consistency as user's account higher than the user behavior data in the sub- account of given threshold
The data source of the user behavior custom at family.
It is an advantage of the current invention that setting up sub- account for different user terminals, would generally be used using different users
Different terminals establishes different sub- accounts come the case where login, for different user terminals, avoids multiple users share account
Caused user behavior custom data are inaccurate.And the above method be management user account server in implement, and
The use process of user is not interfered with.
Using the method counted at times, partial data caused by the changes terminal of user midway can be further avoided and lost
Leakage.
Using the uniformity comparison mode of different sub- accounts, a user can be further avoided and use different terminals situation
Under partial data omit.
Description of the drawings
It is the implementation steps schematic diagram of the specific implementation mode of the present invention shown in attached drawing 1.
Specific implementation mode
The specific implementation mode of the acquisition methods of user behavior provided by the invention custom is done in detail below in conjunction with the accompanying drawings
Explanation.
It is the implementation steps schematic diagram of present embodiment shown in attached drawing 1, including：Step S10 is built under user account
At least one sub- account is found, every sub- account corresponding record user uses the behavioral data that different user terminals log in, Mei Geyong
Family terminal has unique identifier；Step S11 reads unique knowledge of user terminal used in logging in after user account login
Other code, and the user behavior of this login is recorded to the corresponding sub- account of the user terminal；Step S12, by the user
The data source that the longest sub- account of usage time is accustomed to as active account, the user behavior as the user account under account.
With reference to step S10, at least one sub- account is established under user account, every sub- account corresponding record user uses
The behavioral data that different user terminals log in, each user terminal have unique identifier.The unique identifier is selected from use
One kind in the IMEI code and mac address of nic of family terminal.If user terminal is mobile phone, there should be IMEI code, if
The user terminal is PC, then should have network interface card.Under the premise of obtaining user terminal mandate, the unique identifier
Can also user account for the first time use the user terminal log in when be written one in the non-erasable memory of the user terminal
Customized identification code.
With reference to step S11, the unique identifier of user terminal used in logging in is read after user account login, and will
The user behavior this time logged in is recorded to the corresponding sub- account of the user terminal.The user behavior data includes stepping on for user
Record time, log duration and browsing content etc..Such as video website, the user behavior data generally includes user
The type etc. of the time and video of video are browsed, and to shopping website, the user behavior data generally includes user's browsing
The type of merchandise, Price Range and purchase probability etc..
With reference to step S12, using the longest sub- account of usage time under the user account as active account, as the use
The data source of the user behavior custom of family account.
In this step, for more accurate counting user behavioural habits, it can also continue to include the following steps：By user's account
The usage time at family is divided into multiple periods；When distinguishing the longest sub- account of counting use time as this within each period
Between effective sub- account in section, and the user behavior of the sub- account is accustomed to data as the valid data in the period；It converges
Valid data in total each period, the user behavior as the user account are accustomed to data.Above step is directed to user
The optimization that the case where user terminal used may be replaced carries out.For example, if user before logged in using A mobile phones, after be changed to B
Mobile phone.The IMEI number for the IMEI number and B mobile phones that this method can be directed to A mobile phones in this case establishes two sub- accounts respectively,
If not in such a way that segmentation counts, after user is using B mobile phones, as long as the B mobile phones corresponding sub- Account Logon time is not
Sub- account corresponding more than A mobile phones before, then this method will still believe that the corresponding sub- account of A mobile phones be active account, from
And it is lost a part of user behavior custom data of the user.If can be counted with time segment, such as each week
Be divided into a period, then it can be after the at most week that user replaces mobile phone, so that it may with successfully by B mobile phones pair
The sub- account answered switches to active account, and each period before this period is still the corresponding sub- account of A mobile phones
Family is active account.
In this step, for more accurate counting user behavioural habits, it can also continue to include the following steps：Determine user
The longest sub- account of usage time under account；Judge the consistent of the user behavior data between other sub- accounts and the sub- account
Property；By the degree of consistency higher than the user behavior data in the sub- account of given threshold also as the user behavior of the user account
The data source of custom.Above step is the optimization carried out the case where may using two user terminals simultaneously for a user.
Such as some user may be usually to be logged in using the C computers of company, and stepped on using the D mobile phones of oneself after going home in company
Record.The IMEI number for the IMEI number and D mobile phones that this method can be directed to C computers in this case establishes two sub- accounts respectively, such as
Fruit does not use aforesaid way, then this method can only count the user of the higher equipment of frequency of use in C computers or D mobile phones
Behavioural habits data, a part of user behavior to be lost the user are accustomed to data.Other sub- accounts are judged in the above method
The purpose of the consistency of user behavior data between family and the sub- account is to exclude the case where more people use.Such as regarding
Frequency website can investigate the type for the video that two sub- accounts are browsed, belong in the video that two sub- accounts of comparison are browsed
Whether the video proportion of same type is higher than the threshold value set；And for shopping website, two sub- account institutes can be investigated
Whether the type of the commodity of browsing, the commodity proportion that same type is belonged in the commodity that are browsed of two sub- accounts of comparison are high
In the threshold value of setting.Only it is higher than the threshold value of setting, just thinks that the actually same user of two sub- accounts is using.
The preferred mode of both the above can merge use.For the method for segmentation statistics, within each period still
The use habit that multiple sub- accounts can be analyzed, will be above given threshold sub- account be also included in as the user account this when
Between user behavior custom in section data source.
The advantages of above-mentioned specific implementation mode the method, is, sets up sub- account for different user terminals, utilizes
Different users the case where login, would generally be established different sub- accounts for different user terminals, kept away with different terminals
It is inaccurate user behavior custom data caused by multiple users share account have been exempted from.And the above method is in management user account
Implement in server, has no effect on the use process of user.
The above is only a preferred embodiment of the present invention, it is noted that for the ordinary skill people of the art
Member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications also should be regarded as
Protection scope of the present invention.
Claims (2)
1. a kind of acquisition methods of user behavior custom, which is characterized in that include the following steps：
At least one sub- account is established under user account, every sub- account corresponding record user is logged in using different user terminals
Behavioral data, each user terminal have unique identifier；The unique identifier selected from user terminal IMEI code and
One kind in mac address of nic；
The unique identifier of user terminal used in logging in, and user's row that this is logged in are read after user account login
For under record to the corresponding sub- account of the user terminal；
The usage time of user account is divided into multiple periods；
The longest sub- account of counting use time is distinguished within each period as effective sub- account in the period, and will
The user behavior of the sub- account is accustomed to data as the valid data in the period；
Summarize the valid data in each period, the user behavior as the user account is accustomed to data.
2. the acquisition methods of user behavior custom according to claim 1, which is characterized in that within each period respectively
The step of longest sub- account of counting use time is as effective sub- account in the period, further comprises：
Determine the longest sub- account of usage time in each period；
Judge the consistency of the user behavior data between other sub- accounts and the sub- account；
Also it is used as the user account in the time higher than the user behavior data in the sub- account of given threshold the degree of consistency
Valid data in section.
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| CN201510433739.6A CN105007184B (en) | 2015-07-22 | 2015-07-22 | The acquisition methods of user behavior custom |
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| CN201510433739.6A CN105007184B (en) | 2015-07-22 | 2015-07-22 | The acquisition methods of user behavior custom |
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| CN105007184B true CN105007184B (en) | 2018-11-09 |
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Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN106707783A (en) * | 2016-12-30 | 2017-05-24 | 中科同德（北京）生态科技有限公司 | KNX bus control method and system for recording user behavior habits |
| CN108322317B (en) * | 2017-01-16 | 2022-07-29 | 腾讯科技（深圳）有限公司 | Account identification association method and server |
| CN107545065B (en) * | 2017-09-08 | 2021-08-13 | 北京奇艺世纪科技有限公司 | User interest calibration method and system and personalized recommendation system |
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| CN104683122A (en) * | 2015-02-12 | 2015-06-03 | 北京集奥聚合科技有限公司 | Multi-screen-linkage-based information transmitting method and system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN101170426A (en) * | 2006-10-25 | 2008-04-30 | 马永利 | Personalized content distribution scheme based on user behavior (habit) analysis |
| CN103347008A (en) * | 2013-06-20 | 2013-10-09 | 中国联合网络通信集团有限公司 | Information push method and device thereof |
| US20150095151A1 (en) * | 2013-09-30 | 2015-04-02 | George Kanattu | Friend Resource Network |
| CN103763125A (en) * | 2013-12-27 | 2014-04-30 | 北京集奥聚合科技有限公司 | Statistical method and device for number of actual users in operator network |
| CN104735158A (en) * | 2015-03-31 | 2015-06-24 | 北京奇艺世纪科技有限公司 | Sorted storage method and device for user behavior data |
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| AU784299B2 (en) * | 2000-07-18 | 2006-03-02 | Yahoo! Inc. | System and method for selecting alternative advertising inventory in place of sold out advertising inventory |
| CN104683122A (en) * | 2015-02-12 | 2015-06-03 | 北京集奥聚合科技有限公司 | Multi-screen-linkage-based information transmitting method and system |
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