CN103164470A - Directional application method based on user gender distinguished results and system thereof - Google Patents

Abstract

The invention discloses a directional application method based on user gender distinguished results and a system thereof. A relationship of gender inclination and behavior data is calculated and obtained through behavior data and genders of sample users, and then the gender inclination of all users can be obtained according to the collected behavior data of all users and the relationship of the gender inclination and the behavior data. Real, impersonal and complete behavior data of the users is used for distinguishing internet user gender, and calculated results are accurate and reliable. Under the conditions that real gender information of the users is lost and false, accurate user gender information can be obtained. The directional application method based on the user gender distinguished results and the system enable accurate rates and efficiency of directional application to be greatly improved, wherein the directional application such as individuation search, individuation recommendation and advertisement targeted delivery is based on different genders of the users, and efficiency of internet individuation application can be improved.

Description

Directed application process and system thereof based on user's Sex Discrimination result

Technical field

The present invention relates to the internet, applications field, relate in particular to a kind of directed application process and system thereof based on user's Sex Discrimination result.

Background technology

Along with becoming increasingly abundant of internet, applications, user's demand is constantly upgraded.Huge change has all occured in the application model of the network media and marketing characteristics, wherein, browses the html webpage by web 1.0 by browser, and abundanter, interactive and personalized stronger web2.0 mode development, be the new development trend in internet to content.

User's sex and age can be identified for after the user sets up complete User Profile (user profile) system of cover in the internet, sees clearly user's behavior pattern and hobby etc.Simultaneously, adopt this system to support all kinds of web2.0 to use, could really realize the personalization that web2.0 uses, as personalized search, personalized recommendation and advertisement fixing to throwing in etc.

But because internet, applications has certain singularity, the collection of user's sex information has larger difficulty.Overwhelming majority user is unwilling to fill in or mistake is filled out relevant information, cause most of websites can't completely obtain its user's true sex, and for example application number is when adopting face recognition technology to differentiate user's sex in 200610117050.3 and 200810226414.0 patent of invention, has limitation, because be not the photo that all users are ready to upload oneself.

At present, most of internet, applications all has log collection mechanism, the behavioral data of recording user, therefore, need a kind of system and method that adopts user behavior data in conjunction with Classification Algorithms in Data Mining, user's sex to be differentiated, to cover the most of users in website, overcome effectively that the user is reluctant to fill in or wrong problem of filling out sex information.

Summary of the invention

The object of the present invention is to provide a kind of directed application process and system based on user's Sex Discrimination result, can calculate comparatively exactly user's gender tendency, and overcome effectively that the user is reluctant to fill in or wrongly fill out sex information and cause accurately knowing the problem of its sex, improve as based on the different personalized search of gender, personalized recommendation and advertisement fixing to the directed efficient of using such as throwing in.

For addressing the above problem, the invention provides a kind of directed application process based on user's Sex Discrimination result, comprise the following steps:

Step 1: the behavioral data of sample of users of collecting and arrange the known true sex of an internet site;

Step 2: obtain the relation of gender tendency and behavioral data according to behavioral data and the known true sex of described sample of users, and deposit the database of described internet site in;

Step 3: the behavioral data of collecting and arrange all users of described internet site;

Step 4: obtain all users' gender tendency according to the relation of described gender tendency and behavioral data and described all users' behavioral data, and deposit the database of described internet site in;

Step 5: inquire about the database of described internet site, output user's to be checked gender tendency.

Step 6: provide gender tendency's information based on the user to be checked of output to described user to be checked.

Further, in described step 1, the behavioral data of the sample of users of collecting and arranging comprises: each sample of users is accessed the content and the access weight of each sample of users to each content of described internet site.

Further, in described step 1, the behavioral data of the sample of users of collecting and arranging also comprises: each sample of users is accessed time of the act and/or the behavior vector of described internet site.

Further, in described step 3, the behavioral data of collecting and arrange all users of described internet site comprises: each user accesses each content and the access weight of each user to each content of described internet site.

Further, in described step 3, the behavioral data of collecting and arrange all users of described internet site also comprises: each user accesses time of the act and/or the behavior vector of described internet site.

Further, in described step 2, the relation of described gender tendency and behavioral data comprises:

The relation of the gender tendency of described internet site integral body and the behavioral data of all sample of users; And

The relation of the behavioral data of the sample of users of the gender tendency of each content of described internet site and this content of access.

Further, the computing formula of the relation of the behavioral data of the gender tendency of described internet site integral body and all sample of users is:

$P\left(g\right)=\frac{{{\mathrm{\Σ}}^I}_{i=1}{{\mathrm{\Σ}}^J}_{j=1}{r}_{\mathrm{ij}}{u}_i\left(g\right)}{{{\mathrm{\Σ}}^I}_{i=1}{{\mathrm{\Σ}}^J}_{j=1}{r}_{\mathrm{ij}}};$

The computing formula of the relation of the gender tendency of each content of described internet site and the behavioral data of all sample of users is:

$P\left(g\right|w_j)=\frac{{{\mathrm{\Σ}}^I}_{i=1}{{\mathrm{\Σ}}^J}_{j=1}{r}_{\mathrm{ij}}{u}_i\left(g\right)}{{{\mathrm{\Σ}}^I}_{i=1}{r}_{\mathrm{ij}}}$

Wherein, P (g|w _j) represent that j content is for the probability of sex g; u _i(g) be Dirac function, represent whether i sample of users has the g sex; r _ijRepresent that i sample of users is to the access weight of j content.

Further, in described step 4, the computing formula that obtains all users' gender tendency according to the relation of described gender tendency and behavioral data and described all users' behavioral data is:

$P\left(g_0\right|u_i)=\frac{1}{1+\mathrm{odds}(g,X{u}_i)},$ $P\left(g_1\right|u_i)=\frac{\mathrm{odds}(g,{\mathrm{Xu}}_i)}{1+\mathrm{odds}(g,X{u}_i)},$

$\mathrm{Odds}(g,{\mathrm{Xu}}_i)=\frac{P\left(g_1\right)}{P\left(g_0\right)}\·\underset{j=1}{\overset{J}{\mathrm{\Π}}}{(\frac{P\left(g_1\right|w_j)}{P\left(g_0\right|w_j)}/\frac{P\left(g_1\right)}{P\left(g_0\right)})}^{r_{\mathrm{ij}}};$

Wherein, g ₀Represent the women, g ₁Represent the male sex; J content is for the probability of sex g, r _ijRepresent user u to be checked _iTo the access weight of j content, odds (g, Xu _i) be user u to be checked _iGender's likelihood ratio, P (g ₀) probability of women's tendency of expression described internet site integral body, P (g ₁) probability of male sex's tendency of expression described internet site integral body.

Further, in described step 2, the relation of described gender tendency and behavioral data also comprises: adopt decision tree, logistic recurrence, neural network or support vector machine, process behavioral data and the known true sex of described sample of users, obtain the relation between described user's individual behavior and its gender tendency.

Further, in described step 4, obtain all users' gender tendency according to the relation between described user's individual behavior and its gender tendency and described all users' behavioral data, and deposit the database of described internet site in.

Further, in described step 5, inquire about the database of described internet site, when exporting user's to be checked gender tendency, if the database of described internet site has described user's to be checked gender tendency, export described user's gender tendency; If the database of described internet site is without described user's to be checked gender tendency, grasp the current content of the described internet site of described user's current accessed to be checked, inquire about the gender tendency of described current content according to the current content of crawl in the database of described internet site, the gender tendency of the described current content of output is as described user's to be checked gender tendency; If the database of described internet site without the gender tendency of described content to be checked, is exported the gender tendency of internet site's integral body as described user's to be checked gender tendency.

Accordingly, the present invention also provides a kind of directed application system based on user's Sex Discrimination result, comprising:

The sample of users data collection module is used for collecting and to arrange the behavioral data of sample of users of the known true sex of an internet site;

Concerning of behavioral data and gender tendency is used for obtaining the relation of gender tendency and behavioral data according to behavioral data and the known true sex of described sample of users, and deposits the database of described internet site in the unit;

The total user data collector unit is for all users' that collect and arrange described internet site behavioral data;

Gender tendency's computing unit is used for obtaining all users' gender tendency according to the relation of described gender tendency and behavioral data and described all users' behavioral data, and deposits the database of described internet site in;

Gender tendency's output unit, for the database of inquiring about described internet site, output user's to be checked gender tendency;

Directed applying unit is used for the gender tendency according to described gender tendency's output unit output, provides information based on the gender tendency of described output to described user to be checked.

Compared with prior art, directed application process and system based on user's Sex Discrimination result of the present invention, behavioral data and sex by sample of users, calculate the relation of gender tendency and behavioral data, again according to each user's who collects behavioral data and the gender tendency who calculates and the relation of behavioral data, obtain each user's gender tendency, the behavioral data that the user is true, objective, complete is applied to Internet user's Sex Discrimination, and result of calculation accurately, reliably; In the situation that the true sex loss of learning of user, falseness can obtain user's sex information more accurately; Directed application process and system based on user's Sex Discrimination result of the present invention makes as personalized search, personalized recommendation and advertisement fixing and greatly improves to accuracy rate and the efficient used based on the different orientation of user gender such as throwing in, and improves the efficient of internet personalized application; Further, there is not the user filtering condition restriction in the present invention, can substantially cover the whole network station user, and user coverage rate is high; And can realize a kind of differentiation process of going forward one by one, the behavioral data along with the user in internet site constantly increases, and its gender tendency's accuracy of computation also improves constantly.

Description of drawings

Fig. 1 is the process flow diagram based on the directed application process of user's Sex Discrimination result of the embodiment of the present invention one;

Fig. 2 is the structural representation based on the directed application system of user's Sex Discrimination result of the embodiment of the present invention two.

Embodiment

Below in conjunction with the drawings and specific embodiments, directed application process and the system based on user's Sex Discrimination result that the present invention proposes is described in further detail.

Embodiment one

As shown in Figure 1, the present embodiment provides a kind of directed application process based on user's Sex Discrimination result, comprising:

Step 1: the behavioral data of sample of users of collecting and arrange the known true sex of an internet site;

Step 2: obtain the relation of gender tendency and behavioral data according to behavioral data and the known true sex of described sample of users, and deposit the database of described internet site in;

Step 3: the behavioral data of collecting and arrange all users of described internet site;

Step 4: obtain all users' gender tendency according to the relation of described gender tendency and behavioral data and described all users' behavioral data, and deposit the database of described internet site in;

Step 5: inquire about the database of described internet site, output user's to be checked gender tendency;

Step 6: to the information of described user's directive sending to be checked based on the user's to be checked of output gender tendency.

Need to prove, sample of users of the present invention refers to the user of known true sex information, and the gender data of sample of users can be obtained by modes such as I.D., customer service communication, questionnaires; Behavioral data of the present invention refers to the user in the data of the behavior generation of the arbitrary content of accessing internet site, and the arbitrary content of accessing internet site can refer to concrete webpage, video or books etc., and the granularity of content can generally be changed and refinement.For example, concrete video is summarized as visual classification, can also be subdivided into finance and economics, physical culture in visual classification, make laughs etc., any user's that the present invention collects and arranges behavioral data comprises: this user accesses all the elements of described internet site and the access weight between the frequency and described user and each content, all user behavior datas can be described by parameter S, S=(U, W, R), U={u wherein ₁, u ₂, u ₃..., u _iRepresentative of consumer, W={w ₁, w ₂, w ₃..., w _jRepresent that all users access all different contents of internet site, R={r _ijBe access matrix, r _ijRepresentative of consumer i and content w _jBetween concern weight, r in the present embodiment _ijFor user i to content w _jAccess weight, generally can by user i to content w _jAccess frequency f _jEstimate, for example r _ij=A _wj* f _j, A _wjDenoting contents w _jWeight coefficient.

Therefore, the behavioral data of the sample of users in step 1 and all users' in step 3 behavioral data is all collected and is arranged by S=(U, W, R) mode.That is to say, in described step 1, the behavioral data of the sample of users of collecting and arranging comprises: each sample of users is accessed the content of described internet site and the access weight between the frequency and each sample of users and each content; In described step 3, the behavioral data of collecting and arrange all users of described internet site comprises: each user accesses each content of described internet site and the access weight between the frequency and each user and each content; In other embodiments of the invention, in described step 1, the behavioral data of the sample of users of collecting and arranging can also comprise: each sample of users is accessed time of the act, behavior vector and any relevant information that can describe this time behavior of described internet site, accordingly, in described step 3, the behavioral data of collecting and arrange all users of described internet site also comprises: each user accesses time of the act, behavior vector and any relevant information that can describe this time behavior of described internet site.

In the step 2 of the present embodiment, the computing formula of the relation of the gender tendency of described internet site integral body and the behavioral data of all sample of users is:

$P\left(g\right)=\frac{{{\mathrm{\Σ}}^I}_{i=1}{{\mathrm{\Σ}}^J}_{j=1}{r}_{\mathrm{ij}}{u}_i\left(g\right)}{{{\mathrm{\Σ}}^I}_{i=1}{{\mathrm{\Σ}}^J}_{j=1}{r}_{\mathrm{ij}}}$

In the step 2 of the present embodiment, the computing formula of the relation of the gender tendency of each content of described internet site and the behavioral data of all sample of users is:

$P\left(g\right|w_j)=\frac{{{\mathrm{\Σ}}^I}_{i=1}{{\mathrm{\Σ}}^J}_{j=1}{r}_{\mathrm{ij}}{u}_i\left(g\right)}{{{\mathrm{\Σ}}^I}_{i=1}{r}_{\mathrm{ij}}}$

Wherein, P (g|w _j) represent that j content is for the probability of sex g; u _i(g) be Dirac function, represent whether i sample of users has the g sex; r _ijRepresent that i sample of users is to the access weight of j content.If g ₀Represent the women, g ₁Represent the male sex, P (g ₀)+P (g ₁)=P (g ₀| w _j)+P (g ₁| w _j)=1.

The behavioral data that the step 4 of the present embodiment can adopt bayes method to process the relation of described gender tendency and behavioral data and described all users obtains all users' gender tendency.Wherein, Bayes' theorem is:

$P\left(A\right|B)=\frac{P\left(B\right|A)P\left(A\right)}{P\left(B\right)}$

Wherein P (A), P (B) are respectively the prior probabilities of event A, B, and P (A|B), P (B|A) are respectively the B of the generation again conditional probabilities after the conditional probability of A, known A occur after known B occurs again occuring.

In the step 4 of the present embodiment, make behavior pattern X={x ₁, x ₂, x ₃..., x _k, i.e. behavior pattern X is made of K access to content; C _iBe classification designator.Suppose access behavior x each time _kBetween separate, the content that the k time behavior accessed is w _k, have:

$P\left(X\right|C_i)=\underset{k=1}{\overset{K}{\mathrm{\Π}}}P\left(x_k\right|C_i)=\underset{k=1}{\overset{K}{\mathrm{\Π}}}P\left(w_k\right|C_i)$

Have gender's likelihood ratio of the user of identical behavior pattern X with odds (g, X) representative:

$\mathrm{Odds}(g,X)=\frac{P\left(g_1\right|X)}{P\left(g_0\right|X)}=\frac{P\left(X\right|g_1)P\left(g_1\right)}{P\left(X\right|g_0)P\left(g_0\right)}=\frac{P\left(g_1\right)}{P\left(g_0\right)}\·\frac{\underset{k=1}{\overset{K}{\mathrm{\Π}}}P\left(w_k\right|g_1)}{\underset{k=1}{\overset{K}{\mathrm{\Π}}}P\left(w_k\right|g_0)}=\frac{P\left(g_1\right)}{P\left(g_0\right)}\·\underset{k=1}{\overset{K}{\mathrm{\Π}}}\frac{\frac{P\left(g_1\right|w_k)}{P\left(g_0\right|w_k)}}{\frac{P\left(g_1\right)}{P\left(g_0\right)}}$

Make Xu _iRepresentative of consumer u _iBehavior pattern:

$\mathrm{Odds}(g,X{u}_i)=\frac{P\left(g_1\right)}{P\left(g_0\right)}\·\underset{k=1}{\overset{K}{\mathrm{\Π}}}\frac{\frac{P\left(g_1\right|w_k)}{P\left(g_0\right|w_k)}}{\frac{P\left(g_1\right)}{P\left(g_0\right)}}=\frac{P\left(g_1\right)}{P\left(g_0\right)}\·\underset{j=1}{\overset{J}{\mathrm{\Π}}}{\left(\frac{\frac{P\left(g_1\right|w_j)}{P\left(g_0\right|w_j)}}{\frac{P\left(g_1\right)}{P\left(g_0\right)}}\right)}^{r_{\mathrm{ij}}}$

With odds (g, Xu _i) estimating user u _iThe computing formula of gender's probability be respectively:

$P\left(g_0\right|u_i)=\frac{1}{1+\mathrm{odds}(g,X{u}_i)},$ $P\left(g_1\right|u_i)=\frac{\mathrm{odds}(g,{\mathrm{Xu}}_i)}{1+\mathrm{odds}(g,X{u}_i)}$

Computing formula by the relation of the behavioral data of the gender tendency of each content of the computing formula of the relation of the behavioral data of the gender tendency of the computing formula of above-mentioned gender's probability and the internet site's integral body in step 2 and all sample of users and internet site and all sample of users, can calculate gender's probability estimate of each user, gender tendency as each user deposits database in.

In the step 5 of the present embodiment, inquire about the database of described internet site, when exporting user's to be checked gender tendency, if the database of described internet site has described user's to be checked gender tendency P (g ₀) and P (g ₁), export described user's gender tendency P (g ₀| u) and P (g ₁| u), if the database of described internet site is without described user's to be checked gender tendency, grasp the current content of the described internet site of described user's current accessed to be checked, inquire about the gender tendency P (g of described current content according to the current content of crawl in the database of described internet site ₀| w _j) and P (g ₁| w _j), the gender tendency P (g of the described current content of output ₀| w _j) and P (g ₁| w _j) as described user's to be checked gender tendency P (g ₀| u) and P (g ₁| u), if the database of described internet site without the gender tendency of described content to be checked, is exported the gender tendency P (g of internet site's integral body ₀) and P (g ₁) as described user's to be checked gender tendency P (g ₀| u) and P (g ₁| u).

As from the foregoing, the present embodiment is a kind of method that realizes Internet user gender tendency differentiation based on Bayesian Classification Arithmetic, can obtain gender tendency's prior probability of internet site's integral body and gender tendency's prior probability of each content according to the behavioral data of stating sample of users and the known true sex of collecting in step 2, then each user's who collects in integrating step three behavioral data utilizes Bayesian formula to calculate each user gender tendency's posterior probability in step 4; And for any inferior user who accesses, all can calculate the gender tendency.Therefore this method of differentiating based on the Internet user gender tendency of Bayesian Classification Arithmetic of the present embodiment can cover the most users in website.When user's access websites content for the first time, because its behavior has contingency, the result of calculation confidence level is relatively low; When user's access times increase gradually, form comparatively stable behavior pattern, result of calculation tends towards stability gradually, can realize a kind of differentiation process of going forward one by one, behavioral data along with the user in internet site constantly increases, and its gender tendency's accuracy of computation also improves constantly, and contingency reduces, need not training process, maintenance cost is lower.

In other embodiments of the invention, described step 2 can also adopt the classification algorithms such as decision tree, logistic recurrence, neural network or support vector machine, process behavioral data and the known true sex of described sample of users, obtain the relation between user's individual behavior and its gender tendency, and obtain all users' gender tendency according to the relation between described user's individual behavior and its gender tendency and described all users' behavioral data in step 4.For example, adopt the classification algorithms such as decision tree, logistic recurrence, neural network or support vector machine to obtain funtcional relationship between user's individual behavior and its gender tendency in step 2, root with the described funtcional relationship of behavioral data substitution of each user in step 3, just can obtain each user's gender tendency in step 4 accordingly.User behavior pattern may gradually change along with the time.In order to keep higher judgment accuracy, realize based on classification algorithms such as decision tree, logistic recurrence, neural network or support vector machine the method that the Internet user gender tendency differentiates in the present invention, need regularly or irregularly to train and Renewal model, maintenance cost is higher.In addition, said method can't be realized a kind of progressive process that improves gradually its sex judgment accuracy that increases along with user behavior.Directed application process based on user's Sex Discrimination result of the present invention can be after obtaining comparatively accurately user's sex, provide information based on user's sex to the user, greatly improve to accuracy rate and the efficient used based on the different orientation of user gender such as throwing in thereby make as personalized search, personalized recommendation and advertisement fixing, improve the efficient of web2.0 personalized application.

Embodiment two

As shown in Figure 2, the present embodiment provides a kind of directed application system based on user's Sex Discrimination result, comprising:

Sample of users data collection module 21 is used for collecting and to arrange the behavioral data of sample of users of the known true sex of an internet site;

Behavioral data and gender tendency concern unit 22, are used for obtaining the relation of gender tendency and behavioral data according to behavioral data and the known true sex of the sample of users of described sample of users data collection module 21, and deposit the database of described internet site in;

Total user data collector unit 23 is for all users' that collect and arrange described internet site behavioral data;

Gender tendency's computing unit 24, be used for obtaining all users' gender tendency according to all users' of the relation of described behavioral data and gender tendency's the gender tendency who concerns unit 22 and behavioral data and described total user data collector unit 23 behavioral data, and deposit the database of described internet site in;

Gender tendency's output unit 25, for the database of inquiring about described internet site, output user's to be checked gender tendency;

Directed applying unit 26 is used for the gender tendency according to described gender tendency's output unit output, provides information based on the gender tendency of described output to described user to be checked.

In the present embodiment, the behavioral data of the sample of users that described sample of users data collection module 21 is collected and arranged comprises: each sample of users is accessed each content of described internet site and the access weight between the frequency and each sample of users and each content; The behavioral data that all users of described internet site were collected and arranged to described total user data collector unit 23 comprises: each user accesses each content of described internet site and the access weight between the frequency and each user and each content.

In the present embodiment, described behavioral data and gender tendency's concern gender tendency that unit 22 obtains and the relation of behavioral data comprise: the relation of the gender tendency of described internet site integral body and the behavioral data of all sample of users, and the relation of the behavioral data of the gender tendency of each content of described internet site and all sample of users; In the present embodiment, described gender tendency's computing unit 24 adopts described behavioral data and gender tendency's gender tendency and the relation of behavioral data and described all users' the behavioral data that unit 22 obtains that concern, obtains all users' gender tendency.

in the present embodiment, described gender tendency's output unit 25 is inquired about the database of described internet site, when exporting user's to be checked gender tendency, if the database of described internet site has described user's to be checked gender tendency, export described user's gender tendency, if the database of described internet site is without described user's to be checked gender tendency, grasp the current content of the described internet site of described user's current accessed to be checked, inquire about the gender tendency of described current content according to the current content of crawl in the database of described internet site, export the gender tendency of described current content as described user's to be checked gender tendency, if the database of described internet site without the gender tendency of described content to be checked, is exported the gender tendency of internet site's integral body as described user's to be checked gender tendency.

need to prove, in the present embodiment, described behavioral data and gender tendency's the unit 22 that concerns can obtain gender tendency's prior probability of internet site's integral body and gender tendency's prior probability of each content according to the behavioral data of stating sample of users and the known true sex of collecting, then gender tendency's computing unit 24 is in conjunction with each user's who collects in total user data collector unit 23 behavioral data, utilize Bayesian formula to calculate each user gender tendency's posterior probability, realize a kind of system of differentiating based on the Internet user gender tendency of Bayesian Classification Arithmetic.When user's access websites content for the first time, because its behavior has contingency, the result of calculation confidence level is relatively low; When user's access times increase gradually, form comparatively stable behavior pattern, result of calculation tends towards stability gradually, can realize a kind of differentiation process of going forward one by one, behavioral data along with the user in internet site constantly increases, and its gender tendency's accuracy of computation also improves constantly, and contingency reduces, need not training process, maintenance cost is lower.

in other embodiments of the invention, described behavioral data and gender tendency's the unit 22 that concerns can also adopt decision tree, logistic returns, the classification such as neural network or support vector machine algorithm, process behavioral data and the known true sex of described sample of users, obtain the relation between user's individual behavior and its gender tendency, then gender tendency's computing unit 24 obtains all users' gender tendency in conjunction with the behavioral data according to all users that collect in the relation between described user's individual behavior and its gender tendency and described total user data collector unit 23.For example, the classification algorithms such as unit 22 employing decision trees, logistic recurrence, neural network or support vector machine that concern described behavioral data and gender tendency have obtained the funtcional relationship between user's individual behavior and its gender tendency, then gender tendency's computing unit 24 with the described funtcional relationship of behavioral data substitution of each user in total user data collector unit 23, just can obtain each user's gender tendency.User behavior pattern may gradually change along with the time.In order to keep higher judgment accuracy, this user's Sex Discrimination system that realizes Internet user gender tendency differentiation based on classification algorithms such as decision tree, logistic recurrence, neural network or support vector machine, need regularly or irregularly to train and Renewal model, maintenance cost is higher, and can't realize a kind of progressive process that improves gradually its sex judgment accuracy that increases along with user behavior.

Directed application system based on user's Sex Discrimination result of the present invention can be based on personalized search, personalized recommendation and the advertisement fixing of user's sex to application systems such as inputs.

In sum, directed application process and system based on user's Sex Discrimination result of the present invention, behavioral data and sex by sample of users, calculate the relation of gender tendency and behavioral data, again according to each user's who collects behavioral data and the relation of this gender tendency and behavioral data, obtain each user's gender tendency, the behavioral data that the user is true, objective, complete is applied to Internet user's Sex Discrimination, and result of calculation accurately, reliably; In the situation that the true sex loss of learning of user, falseness can obtain user's sex information more accurately; Directed application process and system based on user's Sex Discrimination result of the present invention makes as personalized search, personalized recommendation and advertisement fixing and greatly improves to accuracy rate and the efficient used based on the different orientation of user gender such as throwing in, and improves the efficient of internet personalized application; Further, there is not the user filtering condition restriction in the present invention, can substantially cover the whole network station user, and user coverage rate is high; And can realize a kind of differentiation process of going forward one by one, the behavioral data along with the user in internet site constantly increases, and its gender tendency's accuracy of computation also improves constantly.

Obviously, those skilled in the art can carry out various changes and modification and not break away from the spirit and scope of the present invention invention.Like this, if within of the present invention these are revised and modification belongs to the scope of claim of the present invention and equivalent technologies thereof, the present invention also is intended to comprise these changes and modification interior.

Claims (22)

1. the directed application process based on user's Sex Discrimination result, is characterized in that, comprising:

Step 1: the behavioral data of sample of users of collecting and arrange the known true sex of an internet site;

Step 2: obtain the relation of gender tendency and behavioral data according to behavioral data and the known true sex of described sample of users, and deposit the database of described internet site in;

Step 3: the behavioral data of collecting and arrange all users of described internet site;

Step 4: obtain all users' gender tendency according to the relation of described gender tendency and behavioral data and described all users' behavioral data, and deposit the database of described internet site in;

Step 5: inquire about the database of described internet site, output user's to be checked gender tendency;

Step 6: provide gender tendency's information based on the user to be checked of output to described user to be checked.

2. the directed application process based on user's Sex Discrimination result as claimed in claim 1, it is characterized in that, in described step 1, the behavioral data of the sample of users of collecting and arranging comprises: each content of each sample of users access described internet site and and the frequency and each sample of users and each content between access weight.

3. the directed application process based on user's Sex Discrimination result as claimed in claim 2, it is characterized in that, in described step 1, the behavioral data of the sample of users of collecting and arranging also comprises: each sample of users is accessed time of the act and/or the behavior vector of described internet site.

4. the directed application process based on user's Sex Discrimination result as claimed in claim 2, it is characterized in that, in described step 3, the behavioral data of collecting and arrange all users of described internet site comprises: each user accesses each content of described internet site and the access weight between the frequency and each user and each content.

5. the directed application process based on user's Sex Discrimination result as claimed in claim 4, it is characterized in that, in described step 3, the behavioral data of collecting and arrange all users of described internet site also comprises: each user accesses time of the act and/or the behavior vector of described internet site.

6. the directed application process based on user's Sex Discrimination result as claimed in claim 2, is characterized in that, in described step 2, the relation of described gender tendency and behavioral data comprises:

The relation of the gender tendency of described internet site integral body and the behavioral data of all sample of users; And

The relation of the behavioral data of the sample of users of the gender tendency of each content of described internet site and this content of access.

7. the directed application process based on user's Sex Discrimination result as claimed in claim 6, is characterized in that, the computing formula of the relation of the gender tendency of described internet site integral body and the behavioral data of all sample of users is:

$P\left(g\right)=\frac{{{\mathrm{\Σ}}^I}_{i=1}{{\mathrm{\Σ}}^J}_{j=1}{r}_{\mathrm{ij}}{u}_i\left(g\right)}{{{\mathrm{\Σ}}^I}_{i=1}{{\mathrm{\Σ}}^J}_{j=1}{r}_{\mathrm{ij}}};$

The computing formula of the relation of the gender tendency of each content of described internet site and the behavioral data of all sample of users is:

$P\left(g\right|w_j)=\frac{{{\mathrm{\Σ}}^I}_{i=1}{{\mathrm{\Σ}}^J}_{j=1}{r}_{\mathrm{ij}}{u}_i\left(g\right)}{{{\mathrm{\Σ}}^I}_{i=1}{r}_{\mathrm{ij}}}$

Wherein, P (g|w _j) represent that j content is for the probability of sex g; u _i(g) be Dirac function, represent whether i sample of users has the g sex; r _ijRepresent that i sample of users is to the access weight of j content.

8. the directed application process based on user's Sex Discrimination result as claimed in claim 7, it is characterized in that, in described step 4, the computing formula that obtains all users' gender tendency according to the relation of described gender tendency and behavioral data and described all users' behavioral data is:

$P\left(g_0\right|u_i)=\frac{1}{1+\mathrm{odds}(g,X{u}_i)},$ $P\left(g_1\right|u_i)=\frac{\mathrm{odds}(g,{\mathrm{Xu}}_i)}{1+\mathrm{odds}(g,X{u}_i)},$

$\mathrm{Odds}(g,{\mathrm{Xu}}_i)=\frac{P\left(g_1\right)}{P\left(g_0\right)}\·\underset{j=1}{\overset{J}{\mathrm{\Π}}}{(\frac{P\left(g_1\right|w_j)}{P\left(g_0\right|w_j)}/\frac{P\left(g_1\right)}{P\left(g_0\right)})}^{r_{\mathrm{ij}}};$

Wherein, g ₀Represent the women, g ₁Represent the male sex; J content is for the probability of sex g, r _ijRepresent user u to be checked _iTo the access weight of j content, odds (g, Xu _i) be user u to be checked _iGender's likelihood ratio, P (g ₀) probability of women's tendency of expression described internet site integral body, P (g ₁) probability of male sex's tendency of expression described internet site integral body.

9. the directed application process based on user's Sex Discrimination result as claimed in claim 6, it is characterized in that, in described step 2, the relation of described gender tendency and behavioral data also comprises: adopt decision tree, logistic recurrence, neural network or support vector machine, process behavioral data and the known true sex of described sample of users, obtain the relation between described user's individual behavior and its gender tendency.

10. the directed application process based on user's Sex Discrimination result as claimed in claim 9, it is characterized in that, in described step 4, obtain all users' gender tendency according to the relation between described user's individual behavior and its gender tendency and described all users' behavioral data, and deposit the database of described internet site in.

11. the directed application process based on user's Sex Discrimination result as claimed in claim 6, it is characterized in that, in described step 5, inquire about the database of described internet site, when exporting user's to be checked gender tendency, if the database of described internet site has described user's to be checked gender tendency, export described user's gender tendency; If the database of described internet site is without described user's to be checked gender tendency, grasp the current content of the described internet site of described user's current accessed to be checked, inquire about the gender tendency of described current content according to the current content of crawl in the database of described internet site, the gender tendency of the described current content of output is as described user's to be checked gender tendency; If the database of described internet site without the gender tendency of described content to be checked, is exported the gender tendency of internet site's integral body as described user's to be checked gender tendency.

12. the directed application system based on user's Sex Discrimination result is characterized in that, comprising:

The sample of users data collection module is used for collecting and to arrange the behavioral data of sample of users of the known true sex of an internet site;

Concerning of behavioral data and gender tendency is used for obtaining the relation of gender tendency and behavioral data according to behavioral data and the known true sex of described sample of users, and deposits the database of described internet site in the unit;

The total user data collector unit is for all users' that collect and arrange described internet site behavioral data;

Gender tendency's computing unit is used for obtaining all users' gender tendency according to the relation of described gender tendency and behavioral data and described all users' behavioral data, and deposits the database of described internet site in;

Gender tendency's output unit, for the database of inquiring about described internet site, output user's to be checked gender tendency;

Directed applying unit is used for the gender tendency according to described gender tendency's output unit output, provides information based on the gender tendency of described output to described user to be checked.

13. the directed application system based on user's Sex Discrimination result as claimed in claim 12, it is characterized in that, the behavioral data of the sample of users that described sample of users data collection module is collected and arranged comprises: each sample of users is accessed the content of described internet site and the access weight between the frequency and each sample of users and each content.

14. the directed application system based on user's Sex Discrimination result as claimed in claim 13, it is characterized in that, the behavioral data of the sample of users that described sample of users data collection module is collected and arranged also comprises: each sample of users is accessed time of the act and/or the behavior vector of described internet site.

15. the directed application system based on user's Sex Discrimination result as claimed in claim 13, it is characterized in that, the behavioral data that all users of described internet site were collected and arranged to described total user data collector unit comprises: each user accesses each content of described internet site and the access weight between the frequency and each user and each content.

16. the directed application system based on user's Sex Discrimination result as claimed in claim 15, it is characterized in that, the behavioral data that all users of described internet site were collected and arranged to described total user data collector unit also comprises: each user accesses time of the act and/or the behavior vector of described internet site.

17. the directed application system based on user's Sex Discrimination result as claimed in claim 13 is characterized in that, described behavioral data and gender tendency's concern gender tendency that the unit obtains and the relation of behavioral data comprise:

The relation of the gender tendency of described internet site integral body and the behavioral data of all sample of users; And

The relation of the behavioral data of the sample of users of the gender tendency of each content of described internet site and this content of access.

18. the directed application system based on user's Sex Discrimination result as claimed in claim 17 is characterized in that, the computing formula of the relation of the gender tendency of described internet site integral body and the behavioral data of all sample of users is:

$P\left(g\right)=\frac{{{\mathrm{\Σ}}^I}_{i=1}{{\mathrm{\Σ}}^J}_{j=1}{r}_{\mathrm{ij}}{u}_i\left(g\right)}{{{\mathrm{\Σ}}^I}_{i=1}{{\mathrm{\Σ}}^J}_{j=1}{r}_{\mathrm{ij}}};$

The computing formula of the relation of the gender tendency of each content of described internet site and the behavioral data of all sample of users is:

$P\left(g\right|w_j)=\frac{{{\mathrm{\Σ}}^I}_{i=1}{{\mathrm{\Σ}}^J}_{j=1}{r}_{\mathrm{ij}}{u}_i\left(g\right)}{{{\mathrm{\Σ}}^I}_{i=1}{r}_{\mathrm{ij}}}$

Wherein, P (g|w _j) represent that j content is for the probability of sex g; u _i(g) be Dirac function, represent whether i sample of users has the g sex; r _ijRepresent that i sample of users is to the access weight of j content.

19. the directed application system based on user's Sex Discrimination result as claimed in claim 18, it is characterized in that, described gender tendency's computing unit according to the computing formula that the relation of described gender tendency and behavioral data and described all users' behavioral data obtains all users' gender tendency is:

$P\left(g_0\right|u_i)=\frac{1}{1+\mathrm{odds}(g,X{u}_i)},$ $P\left(g_1\right|u_i)=\frac{\mathrm{odds}(g,{\mathrm{Xu}}_i)}{1+\mathrm{odds}(g,X{u}_i)},$

$\mathrm{Odds}(g,{\mathrm{Xu}}_i)=\frac{P\left(g_1\right)}{P\left(g_0\right)}\·\underset{j=1}{\overset{J}{\mathrm{\Π}}}{(\frac{P\left(g_1\right|w_j)}{P\left(g_0\right|w_j)}/\frac{P\left(g_1\right)}{P\left(g_0\right)})}^{r_{\mathrm{ij}}};$

Wherein, g ₀Represent the women, g ₁Represent the male sex; J content is for the probability of sex g, r _ijRepresent user u to be checked _iTo the access weight of j content, odds (g, Xu _i) be user u to be checked _iGender's likelihood ratio, P (g ₀) probability of women's tendency of expression described internet site integral body, P (g ₁) probability of male sex's tendency of expression described internet site integral body.

20. the directed application system based on user's Sex Discrimination result as claimed in claim 17, it is characterized in that, described behavioral data and gender tendency's concern gender tendency that the unit obtains and the relation of behavioral data also comprise: adopt decision tree, logistic recurrence or neural network or support vector machine, process behavioral data and the known true sex of described sample of users, obtain the relation between described user's individual behavior and its gender tendency.

21. the directed application system based on user's Sex Discrimination result as claimed in claim 20, it is characterized in that, described gender tendency's computing unit obtains all users' gender tendency according to the relation between described user's individual behavior and its gender tendency and described all users' behavioral data, and deposits the database of described internet site in.

22. the directed application system based on user's Sex Discrimination result as claimed in claim 17, it is characterized in that, the database of the described internet site of described gender tendency's output unit inquiry, when exporting user's to be checked gender tendency, if the database of described internet site has described user's to be checked gender tendency, export described user's gender tendency, if the database of described internet site is without described user's to be checked gender tendency, grasp the current content of the described internet site of described user's current accessed to be checked, inquire about the gender tendency of described current content according to the current content of crawl in the database of described internet site, export the gender tendency of described current content as described user's to be checked gender tendency, if the database of described internet site without the gender tendency of described content to be checked, is exported the gender tendency of internet site's integral body as described user's to be checked gender tendency.

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