CN104410710A - Data push method and device - Google Patents
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- CN104410710A CN104410710A CN201410779158.3A CN201410779158A CN104410710A CN 104410710 A CN104410710 A CN 104410710A CN 201410779158 A CN201410779158 A CN 201410779158A CN 104410710 A CN104410710 A CN 104410710A
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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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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H04L69/32—Architecture of open systems interconnection [OSI] 7-layer type protocol stacks, e.g. the interfaces between the data link level and the physical level
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Abstract
The invention discloses a data push method and device. The method comprises the following steps: acquiring registration information of a first client, wherein the registration information of the first client is used for identifying a registered first user; judging whether the registration information of the first client contains target information used for indicating the age of the first user or not; if the registration information of the first client is judged to contain the target information, calculating the age of the first user according to the target information; pushing data matched with the age of the first user. The invention solves the technical problem of inaccurate data push caused by adoption of an existing data push mode.
Description
Technical field
The present invention relates to computer realm, in particular to a kind of data push method and device.
Background technology
Along with the fast development of network, network has become the main channel of people's obtaining information gradually, and thus, enterprise also starts more and more to pay attention to the influence power analysis on the internet of self product.Wherein, because a lot of enterprise can make different marketing strategies for the user group of Different age group in marketing process, therefore, push for Different age group the information adapted with age of user and just become particularly important, further, how obtain age of user by the Internet and just become a problem in the urgent need to address.
At present, the usual way being obtained the age information of user by the Internet obtains by crawlers the user data comprising userspersonal information, and therefrom Directly solution separates out age of user.But, that realizes for personal information security along with user improves constantly, major part user selects oneself sensitive information underground, wherein just comprise age, birthday etc., will make like this, due to accurately age of user cannot be known, to cause cannot accurately pushing for user the data meeting user preferences.For microblogging, because the user of open individual's birthday or age information accounts for smaller in whole microblog users colony, basic data quantity not sufficient is to react the situation of whole microblogging colony, thus cause, when for user's propelling data, can not accurately pushing according to all ages and classes of user the data meeting user preferences.
For the problem in correlation technique, at present effective solution is not yet proposed.
Summary of the invention
Main purpose of the present invention is to provide a kind of data push method and device, to solve the inaccurate technical problem of data-pushing owing to adopting existing data-pushing mode to cause.
According to an aspect of the present invention, provide a kind of data push method, comprising: the log-on message obtaining the first client, wherein, the log-on message of above-mentioned first client is for identifying registered first user; Judge the target information whether comprising the age being used to indicate above-mentioned first user in the log-on message of above-mentioned first client; If judge, the log-on message of above-mentioned first client comprises above-mentioned target information, then calculate the age of above-mentioned first user according to above-mentioned target information; Push the data matched with the age of above-mentioned first user.
Alternatively, above-mentionedly judge that whether comprising the target information at the age being used to indicate above-mentioned first user in the log-on message of above-mentioned first client comprises: judge whether comprise the first indication information and the second indication information in the log-on message of above-mentioned first client, wherein, above-mentioned first indication information is used to indicate the admission time of above-mentioned first user, and above-mentioned second indication information is used to indicate the hiring date of above-mentioned first user; Judge that if above-mentioned the log-on message of above-mentioned first client comprises above-mentioned target information, the age then calculating above-mentioned first user according to above-mentioned target information comprises: if judge, the log-on message of above-mentioned first client comprises above-mentioned first indication information and above-mentioned second indication information, then perform following steps: the first age value calculating above-mentioned first user according to above-mentioned first indication information; The second age value of above-mentioned first user is calculated according to above-mentioned second indication information; Above-mentioned first age value and/or above-mentioned second age value is utilized to calculate the age of above-mentioned first user.
Alternatively, above-mentioned the first age value calculating above-mentioned first user according to above-mentioned first indication information comprises: by above-mentioned first age value of following formulae discovery:
wherein, above-mentioned A
1for identifying above-mentioned first age value, above-mentioned T for identifying current time, above-mentioned t
ifor identifying the admission time of the above-mentioned first user i-th section admission experience indicated by above-mentioned first indication information, above-mentioned x
ifor identifying the default age of above-mentioned first user when the admission time of above-mentioned i-th section of admission experience, said n is for identifying the n section admission experience of the above-mentioned first user indicated by above-mentioned first indication information.
Alternatively, above-mentioned the second age value calculating above-mentioned first user according to above-mentioned second indication information comprises: by above-mentioned second age value of following formulae discovery: A
2=T-t
w+ x
w, wherein, above-mentioned A
2for identifying above-mentioned second age value, above-mentioned T for identifying current time, above-mentioned t
wthe hiring date of experience of taking office for the above-mentioned first user first paragraph identified indicated by above-mentioned second indication information, above-mentioned x
wfor identifying the default age of above-mentioned first user when above-mentioned first paragraph takes office the hiring date experienced.
Alternatively, when the log-on message of above-mentioned acquisition first client, also comprise: obtain the log-on message with multiple second clients of above-mentioned first client associate; The age of multiple second users corresponding with above-mentioned multiple second client is obtained from the log-on message of above-mentioned multiple second client; To age of above-mentioned multiple second user according to all ages and classes size statistical number of person, and using the ages maximum for statistical number of person as the 3rd age value; Above-mentioned 3rd age value is at least utilized to calculate the age of above-mentioned first user.
Alternatively, the above-mentioned age at least utilizing above-mentioned 3rd age value to calculate above-mentioned first user comprise following one of at least: using the age of above-mentioned 3rd age value as above-mentioned first user; Above-mentioned 3rd age value and above-mentioned first age value is utilized to calculate the age of above-mentioned first user; Above-mentioned 3rd age value and above-mentioned second age value is utilized to calculate the age of above-mentioned first user; Above-mentioned 3rd age value and above-mentioned first age value and above-mentioned second age value is utilized to calculate the age of above-mentioned first user.
Alternatively, the data that match comprise the age of above-mentioned propelling movement and above-mentioned first user: obtain the above-mentioned data matched with the age of above-mentioned first user; Above-mentioned data-pushing is given above-mentioned first client at above-mentioned first user place.
According to a further aspect in the invention, provide a kind of data-pushing device, comprising: the first acquiring unit, for obtaining the log-on message of the first client, wherein, the log-on message of above-mentioned first client is for identifying registered first user; Judging unit, for judge above-mentioned first client log-on message in whether comprise the target information at the age being used to indicate above-mentioned first user; First computing unit, for when judging that the log-on message of above-mentioned first client comprises above-mentioned target information, calculates the age of above-mentioned first user according to above-mentioned target information; Push unit, for pushing the data matched with the age of above-mentioned first user.
Alternatively, above-mentioned judging unit comprises: judge module, for judge above-mentioned first client log-on message in whether comprise the first indication information and the second indication information, wherein, above-mentioned first indication information is used to indicate the admission time of above-mentioned first user, and above-mentioned second indication information is used to indicate the hiring date of above-mentioned first user; Above-mentioned first computing unit comprises: the first computing module, for when judging that the log-on message of above-mentioned first client comprises above-mentioned first indication information and above-mentioned second indication information, by realizing with lower module the age calculating above-mentioned first user according to above-mentioned target information: the first calculating sub module, for calculating the first age value of above-mentioned first user according to above-mentioned first indication information; Second calculating sub module, for calculating the second age value of above-mentioned first user according to above-mentioned second indication information; 3rd calculating sub module, for the age utilizing above-mentioned first age value and/or above-mentioned second age value to calculate above-mentioned first user.
Alternatively, above-mentioned first calculating sub module realizes above-mentioned the first age value calculating above-mentioned first user according to above-mentioned first indication information by following steps and comprises: by above-mentioned first age value of following formulae discovery:
wherein, above-mentioned A
1for identifying above-mentioned first age value, above-mentioned T for identifying current time, above-mentioned t
ifor identifying the admission time of the above-mentioned first user i-th section admission experience indicated by above-mentioned first indication information, above-mentioned x
ifor identifying the default age of above-mentioned first user when the admission time of above-mentioned i-th section of admission experience, said n is for identifying the n section admission experience of the above-mentioned first user indicated by above-mentioned first indication information.
Alternatively, above-mentioned second calculating sub module realizes above-mentioned the second age value calculating above-mentioned first user according to above-mentioned second indication information by following steps and comprises: by above-mentioned second age value of following formulae discovery: A
2=T-t
w+ x
w, wherein, above-mentioned A
2for identifying above-mentioned second age value, above-mentioned T for identifying current time, above-mentioned t
wthe hiring date of experience of taking office for the above-mentioned first user first paragraph identified indicated by above-mentioned second indication information, above-mentioned x
wfor identifying the default age of above-mentioned first user when above-mentioned first paragraph takes office the hiring date experienced.
Alternatively, said apparatus also comprises: second acquisition unit, for when the log-on message of above-mentioned acquisition first client, obtains the log-on message with multiple second clients of above-mentioned first client associate; 3rd acquiring unit, for obtaining the age of multiple second users corresponding with above-mentioned multiple second client in the log-on message from above-mentioned multiple second client; Statistic unit, for age of above-mentioned multiple second user according to all ages and classes size statistical number of person, and using the ages maximum for statistical number of person as the 3rd age value; Second computing unit, calculates the age of above-mentioned first user at least utilizing above-mentioned 3rd age value.
Alternatively, above-mentioned second computing unit comprise following one of at least: the second computing module, for using the age of above-mentioned 3rd age value as above-mentioned first user; 3rd computing module, for the age utilizing above-mentioned 3rd age value and above-mentioned first age value to calculate above-mentioned first user; 4th computing module, for the age utilizing above-mentioned 3rd age value and above-mentioned second age value to calculate above-mentioned first user; 5th computing module, for the age utilizing above-mentioned 3rd age value and above-mentioned first age value and above-mentioned second age value to calculate above-mentioned first user.
Alternatively, above-mentioned push unit comprises: the second acquisition module, for obtaining the above-mentioned data matched with the age of above-mentioned first user; Pushing module, for giving above-mentioned first client at above-mentioned first user place by above-mentioned data-pushing.
By the embodiment that the application provides, after obtaining the log-on message of the first client for identifying first user, the target information being used to indicate the age of first user is obtained from above-mentioned log-on message, and then the age of first user is calculated according to above-mentioned target information, and push the data matched with the age of first user, thus realize after the age obtaining user, user for Different age group pushes data accurately for it, not only be convenient to enterprise and formulate marketing strategy accurately according to the age of user, additional income, and also improve Consumer's Experience, user is made to receive the data more meeting user preferences.
Further, after not getting target information in log-on message, then basis and the log-on message of multiple second clients of the first client associate obtain the age of first user, thus realize when the log-on message of default first client, the female thyroid cartilage of the user in the second client of association is utilized to go out the age of first user, and then according to the age obtained above for user pushes and user-dependent data, and then improve Consumer's Experience, improve the efficiency of data-pushing.
Accompanying drawing explanation
The accompanying drawing forming a application's part is used to provide a further understanding of the present invention, and schematic description and description of the present invention, for explaining the present invention, does not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the flow chart of a kind of optional data push method according to the embodiment of the present invention;
Fig. 2 is the flow chart according to the optional data push method of the another kind of the embodiment of the present invention; And
Fig. 3 is the schematic diagram of a kind of optional data-pushing device according to the embodiment of the present invention.
Embodiment
It should be noted that, when not conflicting, the embodiment in the application and the feature in embodiment can combine mutually.Below with reference to the accompanying drawings and describe the present invention in detail in conjunction with the embodiments.
Embodiment 1
According to the embodiment of the present invention, provide a kind of data push method, as shown in Figure 1, the method comprises:
S102, obtains the log-on message of the first client, and wherein, the log-on message of the first client is for identifying registered first user;
S104, judges the target information whether comprising the age being used to indicate first user in the log-on message of the first client;
S106, if judge, the log-on message of the first client comprises target information, then calculate the age of first user according to target information;
S108, pushes the data matched with the age of first user.
Alternatively, in the present embodiment, above-mentioned data push method can be, but not limited to be applied in the data-pushing process of the applications client that terminal is installed, wherein, above-mentioned terminal can include but not limited to following one of at least: mobile phone, notebook computer, panel computer, PC, wherein, above-mentioned client can include but not limited to: microblogging, micro-letter, news application, community space.For microblogging, obtain the log-on message of microblog users, wherein, this log-on message comprises the information for identifying this user identity, judge the target information whether comprising the age being used to indicate this user in above-mentioned information, suppose that above-mentioned log-on message comprises the target information at the age being used to indicate this user, then calculate the age of this user according to above-mentioned target information, and push the microblog data matched with its age to this user.Above-mentioned citing is a kind of example, and the present embodiment is not limited in any way this.
It should be noted that, can include but not limited in above-mentioned target information: for the identifying user age birthday by information, be used to indicate first indication information of the admission time of first user, be used to indicate the second indication information of the hiring date of first user.If directly get birthday by information from the log-on message of client, then directly can obtain the age of this user, without the need to the judgement after carrying out again, the scheme provided with prior art is like this similar, and the present embodiment does not repeat them here.
Alternatively, in the present embodiment, judge that if above-mentioned the log-on message of the first client comprises target information, then include but not limited to according to the age of target information calculating first user: draw two age value respectively according to the first indication information in log-on message and the second indication information, and then again according to predetermined weight, two age value weighted sums are calculated to the age of first user.
Alternatively, in the present embodiment, do not comprise target information if judge in the log-on message of the first client, then obtain and comprise with the log-on message of multiple second clients of the first client associate:
S1, does not comprise target information if judge in the log-on message of the first client, then obtain the log-on message with multiple second clients of the first client associate;
S2, obtains the age of first user corresponding to the first client according to the log-on message of multiple second client.
Alternatively, in the present embodiment, above-mentioned multiple second client can include but not limited to the incidence relation of the first client: unidirectionally to associate, bi-directional association, wherein, for microblogging, first user can form unidirectional association by the mode paid close attention to multiple second user, by obtaining the age of multiple second user, thus realizes the age of extrapolating first user.
Further, it should be noted that, in the present embodiment, before propelling data, also need the age according to the user calculated, obtain the data matched with the age of user, for microblogging, suppose that calculating user is 20 years old, then topic content that often will pay close attention to from the Network Capture user of 18 years old-22 years old of server, and by these content active push user of above-mentioned 20 years old, thus realize after the age accurately drawing user, the age according to user accurately pushes the data of mating with user.
By the embodiment that the application provides, after obtaining the log-on message of the first client for identifying first user, the target information being used to indicate the age of first user is obtained from above-mentioned log-on message, and then the age of first user is calculated according to above-mentioned target information, and push the data matched with the age of first user, thus realize after the age obtaining user, user for Different age group pushes data accurately for it, not only be convenient to enterprise and formulate marketing strategy accurately according to the age of user, additional income, and also improve Consumer's Experience, user is made to receive the data more meeting user preferences, improve the efficiency of data-pushing.
As the optional scheme of one,
S1, judge that the target information whether comprising the age being used to indicate first user in the log-on message of the first client comprises: judge in the log-on message of the first client, whether to comprise the first indication information and the second indication information, wherein, first indication information is used to indicate the admission time of first user, and the second indication information is used to indicate the hiring date of first user;
S2, if judge, the log-on message of the first client comprises target information, then comprise according to the age of target information calculating first user: if judge, the log-on message of the first client comprises the first indication information and the second indication information, then perform following steps:
S22, calculates the first age value of first user according to the first indication information;
S24, calculates the second age value of first user according to the second indication information;
S26, utilizes the first age value and/or the second age value to calculate the age of first user.
It should be noted that, in the present embodiment, the age of first user can be calculated according at least one indication information in admission experience and registration experience.Such as, in the log-on message of student, the first indication information will be only included, the relevant information of experience of namely entering a school, and default second indication information, then being configured to 1 when calculating by the weight of the first indication information, the weight of the second indication information being configured to 0, and then calculating the age of first user.Wherein, the configuration of above-mentioned weight can be, but not limited to determine according to the information integrity of the first indication information and the second indication information.
Alternatively, in the present embodiment, can include but not limited in above-mentioned first indication information: the admission time of multistage admission experience, such as, junior middle school (2003 admission), senior middle school's (2006 admission), university's (2009 admission), above-mentioned second indication information can include but not limited to: multistage is taken office the hiring date of experience, such as, first job (registration in 2013), second part of work (registration in 2015).Further, in the present embodiment, can be, but not limited to experience to multistage admission the age calculated average, to obtain the first age value.
Alternatively, in the present embodiment, above-mentioned default weight can include but not limited to: random arrangement, integrity degree configuration according to the first indication information and the second indication information.Such as, suppose the integrity degree 90% of the first indication information in the log-on message of the first client, the integrity degree of the second indication information only has 40%, then when configuring default weight, the weight of the first indication information is can be, but not limited to be configured to 70%, the weight of the second indication information is configured to 30%, and then utilizes above-mentioned weight and the first age value and the second age value to calculate the age of first user.Such as, the first age value is 24 years old, and the second age value is 23 years old, then the age that can obtain first user according to above-mentioned default weight is: 24*70%+23*30%=23.7 year.
By the embodiment that the application provides, by obtaining the first indication information in the first client registers information and the second indication information, wherein, first indication information is used to indicate the admission time of first user, second indication information is used to indicate the hiring date of first user, above-mentioned first indication information and the second indication information is utilized to calculate the first age value and the second age value respectively, and then according to default weight by the first age value and the second age value weighted sum to draw the age of first user, achieve the age utilizing admission time and hiring date Obtaining Accurate user, thus realize according to different age bracket information, for the user of Different age group pushes the data meeting user preferences, reach the effect of accurate propelling data.
As the optional scheme of one, the first age value calculating first user according to the first indication information comprises:
S1, by following formulae discovery first age value:
Wherein, A
1for identifying the first age value, T for identifying current time, t
ifor identifying the admission time of the first user i-th section admission experience indicated by the first indication information, x
ifor identifying the default age of first user when the admission time of i-th section of admission experience, n is for identifying the n section admission experience of the first user indicated by the first indication information.
Alternatively, in the present embodiment, the mean value calculated according to the historical information of client can be utilized as the above-mentioned default age, all right pre-configured corresponding numerical value, as the above-mentioned default age, is not limited only to this in the present embodiment.
Specifically be described in conjunction with following example, suppose in the log-on message of the first client (for microblogging), to get the first indication information as follows:
User name: user A
Admission experience: junior middle school: 2003, senior middle school: 2006, university: 2009.
As shown in the above, the admission experience totally three sections that user A registers on microblogging, suppose that current time is 2014, default age time admission in junior middle school is 13 years old, default age during senior middle school's admission is 16 years old, default age during college entrance is 19 years old, then utilize above-mentioned formula (1) can calculate first age value of this user A: A
1=[(2014-2003+13)+(2014-2006+16)+(2014-2009+19)]/3=24, then can calculate that above-mentioned first age value is 24 years old.
By the embodiment that the application provides, the first age value is calculated according to the first indication information by above-mentioned formula (1), thus realize when the age of user directly cannot be learnt, the first indication information indirect calculation is utilized to go out the age value of user, extrapolate user's age comparatively accurately further combined with the second age value, thus be embodied as user and push and meet the data of its age bracket.
As the optional scheme of one, the second age value calculating first user according to the second indication information comprises:
S1, by following formulae discovery second age value:
A
2＝T-t
w+x
w(2)
Wherein, A
2for identifying the second age value, T for identifying current time, t
wthe hiring date of experience of taking office for the first user first paragraph identified indicated by the second indication information, x
wfor identifying the default age of first user when first paragraph takes office the hiring date experienced.
Alternatively, in the present embodiment, the mean value calculated according to the historical information of client can be utilized as the above-mentioned default age, all right pre-configured corresponding numerical value, as the above-mentioned default age, is not limited only to this in the present embodiment.
Specifically be described in conjunction with following example, suppose in the log-on message of the first client (for microblogging), to get the second indication information as follows:
User name: user A
Registration is experienced: first job: 2013 so far
As shown in the above, the inaugural experience that user A registers on microblogging only has one section, suppose that current time is 2014, first paragraph take office experience registration time age be 22 years old, then utilize above-mentioned formula (1) that first age value of this user A can be calculated: A
2=[(2014-2013+22)=23 then can calculate that above-mentioned second age value is 23 years old.
It should be noted that, even if user A comprises the inaugural experience of multistage, but it is inconsistent due to each section of inaugural time span, thus multistage is utilized to take office to experience the age of user A calculated to be inaccurate, so in the present embodiment preferably use first paragraph take office experience hiring date, but also can comprise in the present invention and use multistage to take office the age experienced and calculate user, the present embodiment is not limited only to this.
By the embodiment that the application provides, the second age value is calculated according to the second indication information by above-mentioned formula (2), thus realize when the age of user directly cannot be learnt, the second indication information indirect calculation is utilized to go out the age value of user, user's age comparatively is accurately extrapolated further combined with the first age value, thus be embodied as user and push and meet the data of its age bracket, the data more meeting user preferences are received to make user, also be convenient to enterprise further and formulate different marketing strategies according to the different ages, and then improve enterprise income.
As the optional scheme of one, when the log-on message of acquisition first client, also comprise:
S1, obtains the log-on message with multiple second clients of the first client associate;
S2, obtains the age of multiple second users corresponding with multiple second client from the log-on message of multiple second client;
S3, to age of multiple second user according to all ages and classes size statistical number of person, and using the ages maximum for statistical number of person as the 3rd age value;
S4, at least utilizes the 3rd age value to calculate the age of first user.
Alternatively, in the present embodiment, above-mentioned second client and the incidence relation between the first client can include but not limited to following one of at least: unidirectionally to associate, multidirectionally to associate, wherein, for microblogging, second client can be the client corresponding to user that the first client is paid close attention to, and for news application, the second client can be the news client that the first client is often browsed.
It should be noted that, due to most of user checked by Network Capture data time, all can select the information that contemporary issues.Such as, for microblogging, the young man of about 23 years old is identical owing to liking, and thus selects the great majority paid close attention to also to be the microblog users of about 20 years old.
Specifically be described in conjunction with following example, for microblogging, suppose that the user A in the first client pays close attention to 50 the second clients, obtain the age of corresponding multiple second users according to the log-on message of multiple second client, such as, from the log-on message of multiple second client, get the age of 50 users, wherein, 15 years old 7,23 years old 18,27 years old 12,30 years old 10, how many 60 years old 3, sort according to the statistical number of person of all ages and classes, wherein, maximum is 23 years old, totally 18, minimum 60 years old, totally 3.Thus, at the age of the second user in above-mentioned multiple second client, analyzing reckoning the 3rd age value is 23 years old, utilizes the 3rd age value to calculate the age of first user further.
By the embodiment that the application provides, by obtaining the log-on message with multiple second clients of the first client associate, further according to all ages and classes statistical number of person, using the ages maximum for shared number as the 3rd age value, thus realize utilizing the 3rd age value in associated clients to extrapolate the age of first user, and then according to the age obtained above for user pushes and user-dependent data, and then improve Consumer's Experience.
As the optional scheme of one, above-mentioned at least utilize the 3rd age value calculate age of first user comprise following one of at least:
1) using the age of the 3rd age value as first user;
2) the 3rd age value and the first age value is utilized to calculate the age of first user;
3) the 3rd age value and the second age value is utilized to calculate the age of first user;
4) the 3rd age value and the first age value and the second age value is utilized to calculate the age of first user.
It should be noted that, in the present embodiment, utilize the City Age III can directly as the age of first user, even if the first client has paid close attention to the microblog users that some are not same age brackets, but because quantity is also fewer, thus, can not to calculating that the age of user impacts.Further, in the present embodiment, can also but be not limited to utilize the City Age III and the first age bracket and the second age bracket to combine, and then go out age of first user comparatively accurately according to the different weight calculation of configuration.Wherein, the weight of above-mentioned first age value and the second age value configures the information integrity that can be, but not limited to experience according to entering a school and registration is experienced and determines, the weight configuration of the 3rd age value can be, but not limited to pre-configured according to demand.
Specifically be described in conjunction with following example, suppose that the first age value is 24 years old, second age value is 23 years old, 3rd age value is 23 years old, wherein, be respectively 50%, 30%, 20% to the weight that above-mentioned age value configures, then the age that can calculate first user is: 24*50%+23*30%+23*20%=23.5 year.
By the embodiment that the application provides, by the various combination by the 3rd age value and the first age value and the second age value, thus achieve various ways can be utilized to calculate the age of first user.Further, what make the age of first user calculate is more accurate.
As the optional scheme of one, push the data matched with the age of first user and comprise:
S1, obtains the data matched with the age of first user;
S2, by data-pushing to first client at first user place.
Alternatively, in the present embodiment, before obtaining the data matched with the age of first user, also comprise: the age of all users got is divided, to obtain multiple different age bracket.Thus realize carrying out data-pushing for different age brackets is unified, wherein, above-mentioned age bracket can be, but not limited to be divided into different spans according to different application scenarioss, such as, within every five years old, divide an age bracket into, or, within every 3 years old, divide an age bracket into, thus same or analogous data are pushed to the user belonging to same age bracket, different data are then pushed to the user not belonging to same age bracket.Push for user the data meeting user preferences according to the age of user to reach, make user Geng Yi accept the data pushed, reach the effect of data-pushing.
By the embodiment that the application provides, by first obtaining the data matched with it according to the age of user, and then by the data-pushing that matches to user, thus realize to relative users, the efficiency of data-pushing to be improved by data-pushing accurately.
Be described shown in concrete composition graphs 2 step S202-S216, first, as step S202, obtain the log-on message that the first client sends, further, judge whether comprise target information in above-mentioned log-on message, as step S204, comprise target information if judge, then perform step S206, otherwise perform step S212.The birthday by information whether comprising first user in log-on message is judged in step S206, above-mentioned birthday by information is comprised if judge, the age of first user is then directly drawn according to above-mentioned birthday by information, as step S216, otherwise perform step S208, judge in log-on message, whether to comprise the first indication information and the second indication information, above-mentioned first indication information and the second indication information is comprised if judge, then perform step S210, the age of first user is calculated, to enter step S216 according to the first indication information and the second indication information.Further, do not comprise target information if judge in above-mentioned log-on message, then perform step S212-S214, obtain the log-on message of multiple second client, and obtain the age of first user according to the log-on message of above-mentioned multiple second client.
It should be noted that, can perform in the computer system of such as one group of computer executable instructions in the step shown in the flow chart of accompanying drawing, and, although show logical order in flow charts, but in some cases, can be different from the step shown or described by order execution herein.
Embodiment 2
According to the embodiment of the present invention, additionally provide a kind of data-pushing device for implementing above-mentioned data push method, as shown in Figure 3, this device comprises:
1) the first acquiring unit 302, for obtaining the log-on message of the first client, wherein, the log-on message of the first client is for identifying registered first user;
2) judging unit 304, for judge the first client log-on message in whether comprise the target information at the age being used to indicate first user;
3) the first computing unit 306, for when judging that the log-on message of the first client comprises target information, calculates the age of first user according to target information;
4) push unit 308, for pushing the data matched with the age of first user.
Alternatively, in the present embodiment, above-mentioned data-pushing device can be, but not limited to be applied in the data-pushing process of the applications client that terminal is installed, wherein, above-mentioned terminal can include but not limited to following one of at least: mobile phone, notebook computer, panel computer, PC, wherein, above-mentioned client can include but not limited to: microblogging, micro-letter, news application, community space.For microblogging, obtain the log-on message of microblog users, wherein, this log-on message comprises the information for identifying this user identity, judge the target information whether comprising the age being used to indicate this user in above-mentioned information, suppose that above-mentioned log-on message comprises the target information at the age being used to indicate this user, then calculate the age of this user according to above-mentioned target information, and push the microblog data matched with its age to this user.Above-mentioned citing is a kind of example, and the present embodiment is not limited in any way this.
It should be noted that, can include but not limited in above-mentioned target information: for the identifying user age birthday by information, be used to indicate first indication information of the admission time of first user, be used to indicate the second indication information of the hiring date of first user.If directly get birthday by information from the log-on message of client, then directly can obtain the age of this user, without the need to the judgement after carrying out again, the scheme provided with prior art is like this similar, and the present embodiment does not repeat them here.
Alternatively, in the present embodiment, judge that if above-mentioned the log-on message of the first client comprises target information, then include but not limited to according to the age of target information calculating first user: draw two age value respectively according to the first indication information in log-on message and the second indication information, and then again according to predetermined weight, two age value weighted sums are calculated to the age of first user.
Alternatively, in the present embodiment, do not comprise target information if judge in the log-on message of the first client, then obtain and comprise with the log-on message of multiple second clients of the first client associate:
S1, does not comprise target information if judge in the log-on message of the first client, then obtain the log-on message with multiple second clients of the first client associate;
S2, obtains the age of first user corresponding to the first client according to the log-on message of multiple second client.
Alternatively, in the present embodiment, above-mentioned multiple second client can include but not limited to the incidence relation of the first client: unidirectionally to associate, bi-directional association, wherein, for microblogging, first user can form unidirectional association by the mode paid close attention to multiple second user, by obtaining the age of multiple second user, thus realizes the age of extrapolating first user.
Further, it should be noted that, in the present embodiment, before propelling data, also need the age according to the user calculated, obtain the data matched with the age of user, for microblogging, suppose that calculating user is 20 years old, then topic content that often will pay close attention to from the Network Capture user of 18 years old-22 years old of server, and by these content active push user of above-mentioned 20 years old, thus realize after the age accurately drawing user, the age according to user accurately pushes the data of mating with user.
By the embodiment that the application provides, after obtaining the log-on message of the first client for identifying first user, the target information being used to indicate the age of first user is obtained from above-mentioned log-on message, and then the age of first user is calculated according to above-mentioned target information, and push the data matched with the age of first user, thus realize after the age obtaining user, user for Different age group pushes data accurately for it, not only be convenient to enterprise and formulate marketing strategy accurately according to the age of user, additional income, and also improve Consumer's Experience, user is made to receive the data more meeting user preferences, improve the efficiency of data-pushing.
As the optional scheme of one,
1) judging unit 304 comprises: judge module, for judge the first client log-on message in whether comprise the first indication information and the second indication information, wherein, first indication information is used to indicate the admission time of first user, and the second indication information is used to indicate the hiring date of first user;
2) the first computing unit 306 comprises: the first computing module, for when judging that the log-on message of the first client comprises the first indication information and the second indication information, by realizing with lower module the age calculating first user according to target information:
(1) first calculating sub module, for the first age value utilizing the first indication information to calculate first user;
(2) second calculating sub module, for the second age value utilizing the second indication information to calculate first user;
(3) the 3rd calculating sub module, for the age utilizing the first age value and/or the second age value to calculate first user.
It should be noted that, in the present embodiment, the age of first user can be calculated according at least one indication information in admission experience and registration experience.Such as, in the log-on message of student, the first indication information will be only included, the relevant information of experience of namely entering a school, and default second indication information, then being configured to 1 when calculating by the weight of the first indication information, the weight of the second indication information being configured to 0, and then calculating the age of first user.Wherein, the configuration of above-mentioned weight can be, but not limited to determine according to the information integrity of the first indication information and the second indication information.
Alternatively, in the present embodiment, can include but not limited in above-mentioned first indication information: the admission time of multistage admission experience, such as, junior middle school (2003 admission), senior middle school's (2006 admission), university's (2009 admission), above-mentioned second indication information can include but not limited to: multistage is taken office the hiring date of experience, such as, first job (registration in 2013), second part of work (registration in 2015).Further, in the present embodiment, can be, but not limited to experience to multistage admission the age calculated average, to obtain the first age value.
Alternatively, in the present embodiment, above-mentioned default weight can include but not limited to: random arrangement, integrity degree configuration according to the first indication information and the second indication information.Such as, suppose the integrity degree 90% of the first indication information in the log-on message of the first client, the integrity degree of the second indication information only has 40%, then when configuring default weight, the weight of the first indication information is can be, but not limited to be configured to 70%, the weight of the second indication information is configured to 30%, and then utilizes above-mentioned weight and the first age value and the second age value to calculate the age of first user.Such as, the first age value is 24 years old, and the second age value is 23 years old, then the age that can obtain first user according to above-mentioned default weight is: 24*70%+23*30%=23.7 year.
By the embodiment that the application provides, by obtaining the first indication information in the first client registers information and the second indication information, wherein, first indication information is used to indicate the admission time of first user, second indication information is used to indicate the hiring date of first user, above-mentioned first indication information and the second indication information is utilized to calculate the first age value and the second age value respectively, and then according to default weight by the first age value and the second age value weighted sum to draw the age of first user, achieve the age utilizing admission time and hiring date Obtaining Accurate user, thus realize according to different age bracket information, for the user of Different age group pushes the data meeting user preferences, reach the effect of accurate propelling data.
As the optional scheme of one, the first age value that the first calculating sub module realizes calculating according to the first indication information first user by following steps comprises:
S1, by following formulae discovery first age value:
Wherein, A
1for identifying the first age value, T for identifying current time, t
ifor identifying the admission time of the first user i-th section admission experience indicated by the first indication information, x
ifor identifying the default age of first user when the admission time of i-th section of admission experience, n is for identifying the n section admission experience of the first user indicated by the first indication information.
Alternatively, in the present embodiment, the mean value calculated according to the historical information of client can be utilized as the above-mentioned default age, all right pre-configured corresponding numerical value, as the above-mentioned default age, is not limited only to this in the present embodiment.
Specifically be described in conjunction with following example, suppose in the log-on message of the first client (for microblogging), to get the first indication information as follows:
User name: user A
Admission experience: junior middle school: 2003, senior middle school: 2006, university: 2009.
As shown in the above, the admission experience totally three sections that user A registers on microblogging, suppose that current time is 2014, default age time admission in junior middle school is 13 years old, default age during senior middle school's admission is 16 years old, default age during college entrance is 19 years old, then utilize above-mentioned formula (1) can calculate first age value of this user A: A
1=[(2014-2003+13)+(2014-2006+16)+(2014-2009+19)]/3=24, then can calculate that above-mentioned first age value is 24 years old.
By the embodiment that the application provides, the first age value is calculated according to the first indication information by above-mentioned formula (1), thus realize when the age of user directly cannot be learnt, the first indication information indirect calculation is utilized to go out the age value of user, extrapolate user's age comparatively accurately further combined with the second age value, thus be embodied as user and push and meet the data of its age bracket.
As the optional scheme of one, the second age value that the second calculating sub module realizes calculating according to the second indication information first user by following steps comprises:
S1, by following formulae discovery second age value:
A
2＝T-t
w+x
w(4)
Wherein, A
2for identifying the second age value, T for identifying current time, t
wthe hiring date of experience of taking office for the first user first paragraph identified indicated by the second indication information, x
wfor identifying the default age of first user when first paragraph takes office the hiring date experienced.
Alternatively, in the present embodiment, the mean value calculated according to the historical information of client can be utilized as the above-mentioned default age, all right pre-configured corresponding numerical value, as the above-mentioned default age, is not limited only to this in the present embodiment.
Specifically be described in conjunction with following example, suppose in the log-on message of the first client (for microblogging), to get the second indication information as follows:
User name: user A
Registration is experienced: first job: 2013 so far
As shown in the above, the inaugural experience that user A registers on microblogging only has one section, suppose that current time is 2014, first paragraph take office experience registration time age be 22 years old, then utilize above-mentioned formula (1) that first age value of this user A can be calculated: A
2=[(2014-2013+22)=23 then can calculate that above-mentioned second age value is 23 years old.
It should be noted that, even if user A comprises the inaugural experience of multistage, but it is inconsistent due to each section of inaugural time span, thus multistage is utilized to take office to experience the age of user A calculated to be inaccurate, so in the present embodiment preferably use first paragraph take office experience hiring date, but also can comprise in the present invention and use multistage to take office the age experienced and calculate user, the present embodiment is not limited only to this.
By the embodiment that the application provides, the second age value is calculated according to the second indication information by above-mentioned formula (2), thus realize when the age of user directly cannot be learnt, the second indication information indirect calculation is utilized to go out the age value of user, user's age comparatively is accurately extrapolated further combined with the first age value, thus be embodied as user and push and meet the data of its age bracket, the data more meeting user preferences are received to make user, also be convenient to enterprise further and formulate different marketing strategies according to the different ages, and then improve enterprise income.
As the optional scheme of one, said apparatus also comprises:
1) second acquisition unit, for when the log-on message of acquisition first client, obtains the log-on message with multiple second clients of the first client associate;
2) the 3rd acquiring unit, for obtaining the age of multiple second users corresponding with multiple second client in the log-on message from multiple second client;
3) statistic unit, for age of multiple second user according to all ages and classes size statistical number of person, and using the ages maximum for statistical number of person as the 3rd age value;
4) the second computing unit, for the age at least utilizing the 3rd age value to calculate first user.
Alternatively, in the present embodiment, above-mentioned second client and the incidence relation between the first client can include but not limited to following one of at least: unidirectionally to associate, multidirectionally to associate, wherein, for microblogging, second client can be the client corresponding to user that the first client is paid close attention to, and for news application, the second client can be the news client that the first client is often browsed.
It should be noted that, due to most of user checked by Network Capture data time, all can select the information that contemporary issues.Such as, for microblogging, the young man of about 23 years old is identical owing to liking, and thus selects the great majority paid close attention to also to be the microblog users of about 20 years old.
Specifically be described in conjunction with following example, for microblogging, suppose that the user A in the first client pays close attention to 50 the second clients, obtain the age of corresponding multiple second users according to the log-on message of multiple second client, such as, from the log-on message of multiple second client, get the age of 50 users, wherein, 15 years old 7,23 years old 18,27 years old 12,30 years old 10, how many 60 years old 3, sort according to the statistical number of person of all ages and classes, wherein, maximum is 23 years old, totally 18, minimum 60 years old, totally 3.Thus, at the age of the second user in above-mentioned multiple second client, analyzing reckoning the 3rd age value is 23 years old, utilizes the 3rd age value to calculate the age of first user further.
By the embodiment that the application provides, by obtaining the log-on message with multiple second clients of the first client associate, further according to all ages and classes statistical number of person, using the ages maximum for shared number as the 3rd age value, thus realize utilizing the 3rd age value in associated clients to extrapolate the age of first user, and then according to the age obtained above for user pushes and user-dependent data, and then improve Consumer's Experience.
As the optional scheme of one, the second computing unit comprise following one of at least:
1) the second computing module, for using the age of the 3rd age value as first user;
2) the 3rd computing module, for the age utilizing the 3rd age value and the first age value to calculate first user;
3) the 4th computing module, for the age utilizing the 3rd age value and the second age value to calculate first user;
4) the 5th computing module, for the age utilizing the 3rd age value and the first age value and the second age value to calculate first user.
It should be noted that, in the present embodiment, utilize the City Age III can directly as the age of first user, even if the first client has paid close attention to the microblog users that some are not same age brackets, but because quantity is also fewer, thus, can not to calculating that the age of user impacts.Further, in the present embodiment, can also but be not limited to utilize the City Age III and the first age bracket and the second age bracket to combine, and then go out age of first user comparatively accurately according to the different weight calculation of configuration.Wherein, the weight of above-mentioned first age value and the second age value configures the information integrity that can be, but not limited to experience according to entering a school and registration is experienced and determines, the weight configuration of the 3rd age value can be, but not limited to pre-configured according to demand.
Specifically be described in conjunction with following example, suppose that the first age value is 24 years old, second age value is 23 years old, 3rd age value is 23 years old, wherein, be respectively 50%, 30%, 20% to the weight that above-mentioned age value configures, then the age that can calculate first user is: 24*50%+23*30%+23*20%=23.5 year.
By the embodiment that the application provides, by the various combination by the 3rd age value and the first age value and the second age value, thus achieve various ways can be utilized to calculate the age of first user.Further, what make the age of first user calculate is more accurate.
As the optional scheme of one, push unit 308 comprises:
1) the second acquisition module, for obtaining the data matched with the age of first user;
2) pushing module, for by data-pushing to first client at first user place.
Alternatively, in the present embodiment, before obtaining the data matched with the age of first user, also comprise: the age of all users got is divided, to obtain multiple different age bracket.Thus realize carrying out data-pushing for different age brackets is unified, wherein, above-mentioned age bracket can be, but not limited to be divided into different spans according to different application scenarioss, such as, within every five years old, turn to an age bracket, or, within every 3 years old, turn to an age bracket, thus same or analogous data are pushed to the user belonging to same age bracket, different data are then pushed to the user not belonging to same age bracket.Push for user the data meeting user preferences according to the age of user to reach, make user Geng Yi receive the data pushed, reach the effect of data-pushing.
By the embodiment that the application provides, by first obtaining the data matched with it according to the age of user, and then by the data-pushing that matches to user, thus realize to relative users, the efficiency of data-pushing to be improved by data-pushing accurately.
Obviously, those skilled in the art should be understood that, above-mentioned of the present invention each module or each step can realize with general calculation element, they can concentrate on single calculation element, or be distributed on network that multiple calculation element forms, alternatively, they can realize with the executable program code of calculation element, thus, they can be stored and be performed by calculation element in the storage device, or they are made into each integrated circuit modules respectively, or the multiple module in them or step are made into single integrated circuit module to realize.Like this, the present invention is not restricted to any specific hardware and software combination.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (14)
1. a data push method, is characterized in that, comprising:
Obtain the log-on message of the first client, wherein, the log-on message of described first client is for identifying registered first user;
Judge the target information whether comprising the age being used to indicate described first user in the log-on message of described first client;
If judge, the log-on message of described first client comprises described target information, then calculate the age of described first user according to described target information;
Push the data matched with the age of described first user.
2. method according to claim 1, is characterized in that,
Describedly judge that whether comprising the target information at the age being used to indicate described first user in the log-on message of described first client comprises: judge whether comprise the first indication information and the second indication information in the log-on message of described first client, wherein, described first indication information is used to indicate the admission time of described first user, and described second indication information is used to indicate the hiring date of described first user;
Judge that if described the log-on message of described first client comprises described target information, the age then calculating described first user according to described target information comprises: if judge, the log-on message of described first client comprises described first indication information and described second indication information, then perform following steps:
The first age value of described first user is calculated according to described first indication information;
The second age value of described first user is calculated according to described second indication information;
Described first age value and/or described second age value is utilized to calculate the age of described first user.
3. method according to claim 2, is characterized in that, described the first age value calculating described first user according to described first indication information comprises:
By the first age value described in following formulae discovery:
Wherein, described A
1for identifying described first age value, described T for identifying current time, described t
ifor identifying the admission time of the described first user i-th section admission experience indicated by described first indication information, described x
ifor identifying the default age of described first user when the admission time of described i-th section of admission experience, described n is for identifying the n section admission experience of the described first user indicated by described first indication information.
4. method according to claim 2, is characterized in that, described the second age value calculating described first user according to described second indication information comprises:
By the second age value described in following formulae discovery:
A
2＝T-t
w+x
w，
Wherein, described A
2for identifying described second age value, described T for identifying current time, described t
wthe hiring date of experience of taking office for the described first user first paragraph identified indicated by described second indication information, described x
wfor identifying the default age of described first user when described first paragraph takes office the hiring date experienced.
5. method according to claim 2, is characterized in that, when the log-on message of described acquisition first client, also comprises:
Obtain the log-on message with multiple second clients of described first client associate;
The age of multiple second users corresponding with described multiple second client is obtained from the log-on message of described multiple second client;
To age of described multiple second user according to all ages and classes size statistical number of person, and using the ages maximum for statistical number of person as the 3rd age value;
Described 3rd age value is at least utilized to calculate the age of described first user.
6. method according to claim 5, is characterized in that, the described age at least utilizing described 3rd age value to calculate described first user comprise following one of at least:
Using the age of described 3rd age value as described first user;
Described 3rd age value and described first age value is utilized to calculate the age of described first user;
Described 3rd age value and described second age value is utilized to calculate the age of described first user;
Described 3rd age value and described first age value and described second age value is utilized to calculate the age of described first user.
7. the method according to any one of claim 1-6, is characterized in that, the data that the age of described propelling movement and described first user matches comprise:
Obtain the described data matched with the age of described first user;
Described data-pushing is given described first client at described first user place.
8. a data-pushing device, is characterized in that,
First acquiring unit, for obtaining the log-on message of the first client, wherein, the log-on message of described first client is for identifying registered first user;
Judging unit, for judge described first client log-on message in whether comprise the target information at the age being used to indicate described first user;
First computing unit, for when judging that the log-on message of described first client comprises described target information, calculates the age of described first user according to described target information;
Push unit, for pushing the data matched with the age of described first user.
9. device according to claim 8, is characterized in that,
Described judging unit comprises: judge module, for judge described first client log-on message in whether comprise the first indication information and the second indication information, wherein, described first indication information is used to indicate the admission time of described first user, and described second indication information is used to indicate the hiring date of described first user;
Described first computing unit comprises: the first computing module, for when judging that the log-on message of described first client comprises described first indication information and described second indication information, by realizing with lower module the age calculating described first user according to described target information:
First calculating sub module, for calculating the first age value of described first user according to described first indication information;
Second calculating sub module, for calculating the second age value of described first user according to described second indication information;
3rd calculating sub module, for the age utilizing described first age value and/or described second age value to calculate described first user.
10. device according to claim 9, is characterized in that, described first calculating sub module realizes described the first age value calculating described first user according to described first indication information by following steps and comprises:
By the first age value described in following formulae discovery:
Wherein, described A
1for identifying described first age value, described T for identifying current time, described t
ifor identifying the admission time of the described first user i-th section admission experience indicated by described first indication information, described x
ifor identifying the default age of described first user when the admission time of described i-th section of admission experience, described n is for identifying the n section admission experience of the described first user indicated by described first indication information.
11. devices according to claim 9, is characterized in that, described second calculating sub module realizes described the second age value calculating described first user according to described second indication information by following steps and comprises:
By the second age value described in following formulae discovery:
A
2＝T-t
w+x
w，
Wherein, described A
2for identifying described second age value, described T for identifying current time, described t
wthe hiring date of experience of taking office for the described first user first paragraph identified indicated by described second indication information, described x
wfor identifying the default age of described first user when described first paragraph takes office the hiring date experienced.
12. devices according to claim 9, is characterized in that, also comprise:
Second acquisition unit, for when the log-on message of described acquisition first client, obtains the log-on message with multiple second clients of described first client associate;
3rd acquiring unit, for obtaining the age of multiple second users corresponding with described multiple second client in the log-on message from described multiple second client;
Statistic unit, for age of described multiple second user according to all ages and classes size statistical number of person, and using the ages maximum for statistical number of person as the 3rd age value;
Second computing unit, calculates the age of described first user at least utilizing described 3rd age value.
13. devices according to claim 12, is characterized in that, described second computing unit comprise following one of at least:
Second computing module, for using the age of described 3rd age value as described first user;
3rd computing module, for the age utilizing described 3rd age value and described first age value to calculate described first user;
4th computing module, for the age utilizing described 3rd age value and described second age value to calculate described first user;
5th computing module, for the age utilizing described 3rd age value and described first age value and described second age value to calculate described first user.
14. devices according to Claim 8 according to any one of-13, it is characterized in that, described push unit comprises:
Second acquisition module, for obtaining the described data matched with the age of described first user;
Pushing module, for giving described first client at described first user place by described data-pushing.
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| CN105592150A (en) * | 2015-12-18 | 2016-05-18 | 腾讯科技（深圳）有限公司 | Method, device, and system for acquiring push data |
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