CN105007184A - Acquisition method for user behavior habits - Google Patents
Acquisition method for user behavior habits Download PDFInfo
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- CN105007184A CN105007184A CN201510433739.6A CN201510433739A CN105007184A CN 105007184 A CN105007184 A CN 105007184A CN 201510433739 A CN201510433739 A CN 201510433739A CN 105007184 A CN105007184 A CN 105007184A
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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 invention provides an acquisition method for user behavior habits. The method comprises the following steps: establishing at least one sub-account under a user account, wherein each sub-account correspondingly records behavior data generated during login of a user through different user terminals, wherein each user terminal is provided with a unique identification code; after login of the user account, reading the unique identification codes of the user terminals used during login, and recording user behaviors during the login in the sub-accounts corresponding to the user terminals; and taking a sub-account of which the use time is longest under the user account as a valid account to serve as a data source of the user behavior habits of the user account. The acquisition method has the advantages that the sub-accounts are established for different user terminals under the situation that different users generally log in by using different terminals, so that the situation of user behavior habit data inaccuracy caused by sharing of an account by a plurality of users is avoided, and the use processes of the users are not influenced.
Description
Technical field
The present invention relates to field of computer technology, particularly relate to the acquisition methods of a kind of user behavior custom.
Background technology
Obtaining the behavioural habits of user is that internet information supplier under network environment wishes acquisition information most.By obtaining the behavioural habits of user, advertisement pushing can be made more accurate, the audience of internet product is made and analyzes more accurately, and can charging policy etc. be optimized.
But, the website of account just can be opened for needing to pay, especially video website, there are some users to cut down expenses, there will be a few individual's registration account and common situation about using, such as spouses registers an account, or several classmate that relation will be good or colleague's registration account.Like this except making web site operator be subject to except economic loss, the more important thing is and cannot obtain user behavior custom accurately.Such as spouses is registered jointly to the situation of an account, the information of what if the data of account was filled in is wife, and husband often browses the video of some wars and suspense class, this will make backstage produce erroneous judgement, think that the video of this class receives the concern of a women member, and actual conditions are really not so.If similar this situation produces in a large number, interference will be produced to the statistics on backstage.
A kind of settling mode of the prior art is by same for user account terminal binding, only allows the user terminal of binding to log in the account.The shortcoming of the method is to bring inconvenience to the normal user used.Especially when user changes terminal, the mobile phone such as renewed, can bring very loaded down with trivial details operation, thus has influence on the experience of user.
Therefore, if when not affecting Consumer's Experience, obtaining the behavioural habits of user more accurately, is prior art problem demanding prompt solution.
Summary of the invention
Technical problem to be solved by this invention is, provides the acquisition methods that a kind of user behavior is accustomed to, and when not affecting Consumer's Experience, can obtain the behavioural habits of user more accurately.
In order to solve the problem, the invention provides the acquisition methods of a kind of user behavior custom, comprise the steps: under user account, set up at least one sub-account, the behavioral data that every sub-account corresponding record user adopts different user terminals to log in, each user terminal has unique identifier; The unique identifier logging in the user terminal used is read after user account logs in, and under this user behavior logged in is recorded to sub-account corresponding to this user terminal; Using the sub-account the longest described user account lower service time as active account, the data source that the user behavior as this user account is accustomed to.
Optionally, described unique identifier is selected from the one in the IMEI code of user terminal and mac address of nic.
Optionally, using the sub-account the longest described user account lower service time as the step of active account, comprise further: the service time of user account is divided into multiple time period; The user behavior of this sub-account as the effective sub-account in this time period, and is accustomed to data as the valid data in this time period by the sub-account that counting use time is the longest respectively within each time period; Gather the valid data in each time period, as the user behavior custom data of described user account.
Optionally, using the sub-account the longest described user account lower service time as the step of active account, comprise further: determine the sub-account that user account lower service time is the longest; Judge the consistency of the user behavior data between other sub-accounts and this sub-account; Using the degree of consistency higher than the user behavior data in the sub-account of setting threshold also as the data source that the user behavior of this user account is accustomed to.
The invention has the advantages that; for different user terminals set up sub-account; utilize the situation that different users can log in by different terminals usually, for different user terminals sets up different sub-accounts, avoid the user behavior custom data that multiple users share account causes inaccurate.And said method implements in the server of leading subscriber account, do not have influence on the use procedure of user.
Adopt the method for adding up at times, the partial data that replacing terminal in user midway can be avoided further to cause is omitted.
Adopt the consistency alignments of different sub-account, the partial data omission under a user can be avoided further to adopt different terminals situation.
Accompanying drawing explanation
It is the implementation step schematic diagram of the specific embodiment of the present invention shown in accompanying drawing 1.
Embodiment
Elaborate below in conjunction with the embodiment of accompanying drawing to the acquisition methods that user behavior provided by the invention is accustomed to.
It is the implementation step schematic diagram of this embodiment shown in accompanying drawing 1, comprise: step S10, under user account, set up at least one sub-account, the behavioral data that every sub-account corresponding record user adopts different user terminals to log in, each user terminal has unique identifier; Step S11, reads the unique identifier logging in the user terminal used after user account logs in, and under this user behavior logged in is recorded to sub-account corresponding to this user terminal; Step S12, using the sub-account the longest described user account lower service time as active account, the data source that the user behavior as this user account is accustomed to.
Refer step S10, under user account, set up at least one sub-account, the behavioral data that every sub-account corresponding record user adopts different user terminals to log in, each user terminal has unique identifier.Described unique identifier is selected from the one in the IMEI code of user terminal and mac address of nic.If user terminal is mobile phone, then should have IMEI code, if this user terminal is PC, then should have network interface card.Under the prerequisite obtaining user terminal mandate, described unique identifier also can write a self-defining identification code in the not erasable memory of this user terminal when adopting this user terminal to log in first by user account.
Refer step S11, reads the unique identifier logging in the user terminal used after user account logs in, and under this user behavior logged in is recorded to sub-account corresponding to this user terminal.Described user behavior data comprises login time, login duration and the browsing content etc. of user.Such as video website, described user behavior data generally includes the time of user's browsing video and the type etc. of video, and to shopping website, described user behavior data generally includes the type of merchandise, Price Range and the purchase probability etc. that user browses.
Refer step S12, using the sub-account the longest described user account lower service time as active account, the data source that the user behavior as this user account is accustomed to.
In this step, in order to more accurate counting user behavioural habits, can also continue to comprise the steps: be divided into multiple time period service time of user account; The user behavior of this sub-account as the effective sub-account in this time period, and is accustomed to data as the valid data in this time period by the sub-account that counting use time is the longest respectively within each time period; Gather the valid data in each time period, as the user behavior custom data of described user account.The optimization that the situation that above step may change user terminal used for user is carried out.If use A mobile phone to log in before such as user, after be replaced by B mobile phone.This method can set up two sub-accounts respectively for the IMEI number of the IMEI number of A mobile phone and B mobile phone in this case, if do not adopt the mode that segmentation is added up, then after user uses B mobile phone, the sub-account that before as long as the sub-Account Logon time that B mobile phone is corresponding is no more than, A mobile phone is corresponding, then this method still will think that sub-account corresponding to A mobile phone is active account, thus lost a part of user behavior custom data of this user.If can time segment add up, such as each week is divided into a time period, after the week at the most then can changing mobile phone user, just successfully sub-account corresponding for B mobile phone can be switched to active account, and the sub-account that each time period before this time period remains A mobile phone corresponding is active account.
In this step, in order to more accurate counting user behavioural habits, can also continue to comprise the steps: to determine the sub-account that user account lower service time is the longest; Judge the consistency of the user behavior data between other sub-accounts and this sub-account; Using the degree of consistency higher than the user behavior data in the sub-account of setting threshold also as the data source that the user behavior of this user account is accustomed to.Above step is the optimization that may simultaneously use the situation of two user terminals to carry out for a user.The C computer that such as some users may be use companies in company at ordinary times logs in, and uses the D mobile phone of oneself to log in after going home.This method can set up two sub-accounts respectively for the IMEI number of the IMEI number of C computer and D mobile phone in this case, if do not adopt aforesaid way, then this method can only add up the user behavior custom data of the equipment that frequency of utilization is higher in C computer or D mobile phone, thus lost a part of user behavior custom data of this user.The situation that the conforming object of the user behavior data between other sub-accounts and this sub-account is to get rid of many people and uses is judged in said method.Such as video website, the type of the video that two sub-accounts are browsed can be investigated, contrast belong to identical type in the video that two sub-accounts browse video proportion whether higher than the threshold value of setting; And for shopping website, the type of the commodity that two sub-accounts are browsed can be investigated, contrast belong to identical type in the commodity that two sub-accounts browse commodity proportion whether higher than the threshold value of setting.Only higher than the threshold value of setting, just think that two in fact same users of sub-account are in use.
Above two kinds of preferred modes can merge use.For segmentation statistics method, within each time period, still can analyze the use habit of multiple sub-account, the sub-account higher than setting threshold is also included in as this user account within this time period user behavior custom data source.
Described in above-mentioned embodiment, the advantage of method is; for different user terminals set up sub-account; utilize the situation that different users can log in by different terminals usually; for different user terminals sets up different sub-accounts, avoid the user behavior custom data that multiple users share account causes inaccurate.And said method implements in the server of leading subscriber account, do not have influence on the use procedure of user.
The above is only the preferred embodiment of the present invention; it should be pointed out that for those skilled in the art, under the premise without departing from the principles of the invention; can also make some improvements and modifications, these improvements and modifications also should be considered as protection scope of the present invention.
Claims (4)
1. an acquisition methods for user behavior custom, is characterized in that, comprise the steps:
Under user account, set up at least one sub-account, the behavioral data that every sub-account corresponding record user adopts different user terminals to log in, each user terminal has unique identifier;
The unique identifier logging in the user terminal used is read after user account logs in, and under this user behavior logged in is recorded to sub-account corresponding to this user terminal;
Using the sub-account the longest described user account lower service time as active account, the data source that the user behavior as this user account is accustomed to.
2. the acquisition methods of user behavior according to claim 1 custom, is characterized in that, described unique identifier is selected from the one in the IMEI code of user terminal and mac address of nic.
3. the acquisition methods of user behavior according to claim 1 custom, is characterized in that, using the sub-account the longest described user account lower service time as the step of active account, comprises further:
The service time of user account is divided into multiple time period;
The user behavior of this sub-account as the effective sub-account in this time period, and is accustomed to data as the valid data in this time period by the sub-account that counting use time is the longest respectively within each time period;
Gather the valid data in each time period, as the user behavior custom data of described user account.
4. the acquisition methods of user behavior according to claim 1 custom, is characterized in that, using the sub-account the longest described user account lower service time as the step of active account, comprises further:
Determine the sub-account that user account lower service time is the longest;
Judge the consistency of the user behavior data between other sub-accounts and this sub-account;
Using the degree of consistency higher than the user behavior data in the sub-account of setting threshold also as the data source that the user behavior of this user account is accustomed to.
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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 |
| CN107545065A (en) * | 2017-09-08 | 2018-01-05 | 北京奇艺世纪科技有限公司 | A kind of user interest calibration method, system and personalized recommendation system |
| WO2018130201A1 (en) * | 2017-01-16 | 2018-07-19 | 腾讯科技（深圳）有限公司 | Method for determining associated account, server and storage medium |
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| CN105007184B (en) | 2018-11-09 |
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