CN103108049A - Method for providing personalized page for mobile terminal user - Google Patents

Abstract

Disclosed is a method for providing a personalized page for a mobile terminal user. The method comprises the following steps: step 1, a plurality of different page contents are structured; step 2, a plurality of characteristic indexes are obtained from identity characteristics of the mobile terminal user, degrees of membership of a low-end user group, a middle-end group and a high-end group in each characteristic index to which the user belongs are respectively calculated based on a function of the degree of membership in fuzzy mathematics, and then a matched-degree of each characteristic index and each page of the user is calculated according to emphasizing proportion of each page aiming at the low-end user group, the middle-end group and the high-end group in each characteristic index; and step 3, the matched-degree of the user and each page is calculated according to the matched-degree of each characteristic index and each page of the user and corresponding weighted value of each characteristic index of the user, and the personalized page contents are provided fro the user according to the matched-degree of the user and each page. The invention belongs to the technical field of network application. The personalized pages can be provided for the user through the method according to the identity characteristics of the mobile terminal user, and the method can be further applied to web portals of book reading.

Description

A kind of method that personal page is provided for mobile phone users

Technical field

The present invention relates to a kind of method that personal page is provided for mobile phone users, belong to the network application technical field.

Background technology

Day by day increase severely instantly in the network information, the information that how accurately to hold the mobile phone users demand, will meet fast user preferences seems particularly important in face of being pushed to the user with air line distance.How for mobile phone users provides personal page, some relevant solutions have also been proposed at present:

Patent application CN201010179183.X(applies for title: a kind of pushing personalized pages to mobile terminal method and apparatus, the applying date: 2010-05-19, applicant: disclose a kind of pushing personalized pages to mobile terminal method and apparatus Shenzhou Wuju Technology Co., Ltd.), described method comprises user behavior statistical analysis process and page push process, described page push process comprises: step 21: the user clicks the page, and mobile terminal is connected to remote server; Step 22: obtain the header of user access, analyze wherein with label; Step 23: obtain one or more correlation tag the highest with the described label degree of association; Step 24: according to the keyword in above-mentioned label and correlation tag, seek corresponding resource in Resource Server, the object content and the final page of personalized push content composition that search out user's request feed back to the user.The use preference (being Visitor Logs) that this technical scheme is mainly used according to the user pushes the Extraordinary Webpage, because the user has age, individual character, the inferior different identity characteristic of stratum of intellectual, its hobby also varies with the difference of identity, this technical scheme can not according to user's identity characteristic (such as the moon communication fee, note amount, GPRS flow or age etc. can characterize the characteristic index of user identity feature) personal page is provided.

Therefore, how according to the identity characteristic of mobile phone users, for the user provides personal page, be still a unsolved technical problem.

Summary of the invention

In view of this, the purpose of this invention is to provide a kind of method that personal page is provided for mobile phone users, can be according to providing personal page for the user in the identity characteristic of mobile phone users.

In order to achieve the above object, the invention provides a kind of method that personal page is provided for mobile phone users, include:

Step 1, build several different content of pages;

Step 2, obtain several characteristic indexs from the identity characteristic of mobile phone users, and based on the membership function in fuzzy mathematics, calculate respectively the degree of membership that the user belongs to the basic, normal, high end subscriber group of each characteristic index, then according to the stress accounting of each page for the basic, normal, high end subscriber group of each characteristic index, calculate at last the matching degree of each characteristic index of user and each page;

Step 3, according to matching degree and the weighted value corresponding to each characteristic index of user of each characteristic index of user and each page, calculate the matching degree of user and each page, and provide the Extraordinary content of pages to the user accordingly.

compared with prior art, the invention has the beneficial effects as follows: because the division of customer group has ambiguity and uncertainty, the present invention adopts membership function in fuzzy mathematics as the method for distinguishing customer group, obtain a moon communication fee from the user identity feature, the note amount, a plurality of characteristic indexs such as GPRS flow and age, and the calculating user belongs to the low of each characteristic index, in, high-end user group's degree of membership, that is to say, weigh by degree of membership the level index that the user is under the jurisdiction of certain page, the size of the big or small corresponding probability of degree of membership, be that the larger probability of degree of membership is larger, thereby can provide the personal page that conforms to most with its hobby for the user according to user's identity characteristic, realized the guiding directly perceived to the user preferences content, portal website for books reading, the present invention also further came the reading behavior preference of analysis user to book content, recommendation position link or movable visit record on the page by user's past, and adjust the matching degree of user and the page according to user's reading behavior preference, thereby can be on the user identity feature base, further integrate user's read data, comprehensively define the books reading page that meets user preferences most.

Description of drawings

Fig. 1 is a kind of method flow diagram that personal page is provided for mobile phone users of the present invention.

Fig. 2 is in Fig. 1 step 3, when being applied to books reading portal website, and the particular flow sheet of the matching degree of user and the page being adjusted according to the book content of the page.

Fig. 3 is in Fig. 1 step 3, when being applied to books reading portal website, and the particular flow sheet of the matching degree of user and the page being adjusted according to the recommendation position link of the page.

Fig. 4 is in Fig. 1 step 3, when being applied to books reading portal website, and the particular flow sheet of the matching degree of user and the page being adjusted according to the activity of the page.

Embodiment

For making the purpose, technical solutions and advantages of the present invention clearer, the present invention is described in further detail below in conjunction with accompanying drawing.

As shown in Figure 1, a kind of method that personal page is provided for mobile phone users of the present invention includes:

Step 1, build several different content of pages;

Step 2, obtain several characteristic indexs from the identity characteristic of mobile phone users, and based on the membership function in fuzzy mathematics, calculate respectively the degree of membership that the user belongs to the basic, normal, high end subscriber group of each characteristic index, then according to the stress accounting of each page for the basic, normal, high end subscriber group of each characteristic index, calculate at last the matching degree of each characteristic index of user and each page;

Step 3, according to matching degree and the weighted value corresponding to each characteristic index of user of each characteristic index of user and each page, calculate the matching degree of user and each page, and provide the Extraordinary content of pages to the user accordingly.

In described step 1, can build a plurality of content of pages according to actual business requirement, for example 4 pages.

In described step 2, because user identity can be middle school student's (comprising that junior-senior high school is living), university student, alien workers, middle and high end business people (such as white collar and some social elites) etc., these different user identity have larger difference at aspects such as age composition, the level of consumption, online demands, and the characteristic index of therefore obtaining from the identity characteristic of mobile phone users can be a month communication fee, note amount, GPRS flow or age etc.

Because the division of customer group has ambiguity and uncertainty, there is no clear and definite distinguishing limit as white collar and alien workers, white collar and high-end business people; Secondly user identity feature and the page do not have clear and definite affiliated relation yet, are not the content that must see that struggle is pursued a goal with determination as the university student, and high-end business people only sees through managing historical content.Therefore, the present invention adopts membership function in fuzzy mathematics as the method for distinguishing customer group, that is to say, weighs by degree of membership the level index that the user is under the jurisdiction of certain page, the size of the big or small corresponding probability of degree of membership, and namely the larger probability of degree of membership is larger.

In step 2, the user belongs to i characteristic index tz _iLow-end users' degree of membership ptz _i_ low (x _i) computing formula as follows:

${\mathrm{ptz}}_i\_\mathrm{low}\left(x_i\right)=\left\{\begin{array}{cc}\frac{x_i}{a},& 0<x_i\&le;a\\ 1,& a<x_i\&le;b\\ \frac{c-x_i}{c-b},& b<x_i\&le;c\\ 0,& x_i>c\end{array}\right.;$

The user belongs to i characteristic index tz _iThe degree of membership ptz of middle-end customer group _i_ mid (x _i) computing formula as follows:

${\mathrm{ptz}}_i\_\mathrm{mid}\left(x_i\right)=\left\{\begin{array}{cc}0,& 0<x_i\&le;b\\ \frac{x_i-b}{c-b},& b<x_i\&le;c\\ 1,& c<x_i\&le;d\\ \frac{e-x_i}{e-d},& d<x_i\&le;e\\ 0,& x_i>e\end{array}\right.;$

The user belongs to i characteristic index tz _iHigh-end user group's degree of membership ptz _i_ high (x _i) computing formula as follows:

${\mathrm{ptz}}_i\_\mathrm{high}\left(x_i\right)=\left\{\begin{array}{cc}0,& 0<x_i\&le;d\\ \frac{x_i-d}{e-d},& d<x_i\&le;e\\ 1,& e<x_i\&le;f\\ \frac{g-x_i}{g-f},& f<x_i\&le;g\\ 0,& x_i>g\end{array}\right.;$

Wherein, x _iThat the user is corresponding to i characteristic index tz _iValue, interval parameter α, b, c, d, e, f, g are the real numbers greater than 0, its value is set according to the business actual conditions.

For example when characteristic index was month communication fee, the value of described interval parameter can be set to: a=25, b=40, c=45, d=60, e=80, f=125, g=800, x ₁User's moon communication fee value, namely the user to belong to low-end users' the computing formula of degree of membership of moon communication fee as follows: ${\mathrm{ptz}}_1\_\mathrm{low}\left(x_1\right)=\left\{\begin{array}{c}\frac{x_1}{25},0<x_1\&le;25\\ \mathrm{1,25}<x_1\&le;40\\ 9-\frac{x_1}{5},40<x_1\&le;45\\ 0,x_1>45\end{array}\right.;$ The computing formula of degree of membership of middle-end customer group that the user belongs to moon communication fee is as follows: ${\mathrm{ptz}}_1\_\mathrm{mid}\left(x_1\right)=\left\{\begin{array}{c}\mathrm{0,0}<x_1\&le;40\\ \frac{x_1}{5}-\mathrm{8,40}<x_1\&le;45\\ \mathrm{1,45}<x_1\&le;60\\ 4-\frac{x_1}{20},60<x_1\&le;80\\ 0,x_1>80\end{array}\right.;$ High-end user group's the computing formula of degree of membership that the user belongs to moon communication fee is as follows: ${\mathrm{ptz}}_1\_\mathrm{high}\left(x_1\right)=\left\{\begin{array}{c}\mathrm{0,0}<x_1\&le;60\\ \frac{x_1}{20}-\mathrm{3,60}<x_1\&le;80\\ \mathrm{1,80}<x_1\&le;125\\ \frac{800-x_1}{675},125<x_1\&le;800\\ 0,x_1>800\end{array}\right..$

Equally, when characteristic index was the note amount, the value of described interval parameter can be set to: a=5, b=10, c=15, d=30, e=60, f=140, g=800; When characteristic index was the GPRS flow, the value of described interval parameter can be set to: a=5, b=10, c=18, d=30, e=35, f=55, g=400; When characteristic index was the age, the value of described interval parameter can be set to: a=5, b=10, c=15, d=30, e=60, f=140, g=80.

For guaranteeing the demand of page setup As soon as possible Promising Policy most users differentiation, be that constructed a plurality of pages will give priority to and be inclined on the high-, middle-and low-end customer group of each characteristic index, lay particular emphasis on the customer group of high month communication fee, low note amount, high GPRS flow and middle high age bracket such as the page one, can promote user's value identity so on the one hand, also can consider on the other hand the many psychology of becoming of similar user.Therefore, can be according to actual business requirement, adopt the analysis expert method to set in advance each page for the basic, normal, high end subscriber group's of each characteristic index the accounting that stresses, and each page is 1 for the basic, normal, high end subscriber group's of each characteristic index the accounting sum that stresses, that is to say p _j_ tz _i_ l+p _j_ tz _i_ m+p _j_ tz _i_ h=1, wherein p _j_ tz _i_ l, p _j_ tz _i_ m, p _j_ tz _i_ h is respectively that page j is for characteristic index tz _iBasic, normal, high end subscriber group stress accounting.Example is as shown in table 1 below, build 4 pages: the page one, the page two, the page three and the page four, and obtain characteristic index be from the user identity feature: month communication fee, note amount, GPRS flow and age, according to actual business requirement, set in advance in table 14 pages respectively for the moon communication fee, note amount, GPRS flow and the basic, normal, high end subscriber group at age stress accounting, lay particular emphasis on the customer group of high month communication fee due to the page one, p ₁_ tz ₁_ l=0.2, p ₁_ tz ₁_ m=0.2, p ₁_ tz ₁_ h=0.6.

In described step 2, i characteristic index tz of user _iMatching degree p with page j _jtz _i(x _i) computing formula as follows:

p _jtz _i(x _i)=ptz _i_ low (x _i) * p _j_ tz _i_ l+ptz _i_ mid (x _i) * p _j_ tz _i_ m+ptz _i_ high (x _i) * p _j_ tz _i_ h, wherein, x _iThat the user is corresponding to i characteristic index tz _iValue, ptz _i_ low (x _i), ptz _i_ mid (x _i), ptz _i_ high (x _i) be respectively that the user belongs to i characteristic index tz _iBasic, normal, high end subscriber group's degree of membership, p _j_ tz _i_ l, p _j_ tz _i_ m, p _j_ tz _i_ h is respectively that page j is for characteristic index tz _iBasic, normal, high end subscriber group stress accounting.

In described step 3, the computing formula of the matching degree of user and page j is as follows:

Wherein, ω _iI characteristic index tz of user _iCorresponding weighted value, n are the characteristic index sums that obtains from the user identity feature.Select maximum from the matching degree of user and all pages, and the corresponding content of pages of matching degree maximum is offered mobile phone users, thereby realize the Extraordinary Webpage.

It is worth mentioning that, the present invention can also further be applied in the portal website of books reading.For the portal website of books reading, the Main Differences of different content of pages comprises book content, recommends position link and movable, wherein:

(1), book content: can set up the content tab storehouse according to books theme, plot, and identify by the book content of several content tabs in the content tab storehouse to user-accessible on the page;

(2), recommend the position link: the user can by clicking the recommendation position link of the page, jump to the one-level page;

(3), activity: the user can initiatively participate in the activity of multi-form content on the page.

When the present invention is applied in the portal website of books reading, the present invention can also be on user's identity characteristic basis, further by the analysis user past, the book content on the page, recommendation position link or movable visit record are come the reading behavior preference of analysis user, and adjusted the matching degree of user and the page according to user's reading behavior preference.

As shown in Figure 2, in described step 3, when being applied to books reading portal website, the present invention can also adjust the matching degree of user and page j according to the book content of the page, further includes:

Steps A 1, the unduplicated content tab that upper all book contents of page j are comprised consist of page j content tab collection, and the inquiring user book information of accessing within a period of time (as nearly 3 months), then the frequency of concentrating each content tab to occur in the content tab that all visited book content of user comprises according to page j content tab, calculate one by one page j content tab and concentrate the user of each content tab-content tab weight, namely

Tr wherein _μThe page j content tab user that concentrates μ content tab-content tab weight, t _μIt is the occurrence number of μ content tab in the content tab that all visited book content of user comprises, T is the appearance total degree of all the elements label of comprising of all visited book content of user, wherein the content tab that comprises of book content is to choose from the content tab storehouse, and is used for keyword that book content is identified;

The matching degree of steps A 2, adjustment user and page j: $p_j=\mathrm{\&alpha;}*p_j+(1-\mathrm{\&alpha;})*\mathrm{\&lambda;}*\underset{\mathrm{\&mu;}=1,...,n_j}{\mathrm{\&Sigma;}}{R}_{\mathrm{j\&mu;}}*{\mathrm{tr}}_{\mathrm{\&mu;}},$ Wherein, because the user identity feature is different to the influence degree of the page with the reading behavior preference, so α is the weight of user identity feature, and 1-α is the weight of user's reading behavior preference, and λ is that book content is for the importance measures weight of page Division identification, n _jThe content tab sum that page j content tab is concentrated, tr _μThe page j content tab user that concentrates μ content tab-content tab weight, R _jμBeing the weight that page j content tab is concentrated μ content tab, because may there be intersection in the book content of the different pages, is to guarantee that the page distinguishes, and the weight of the same book content of the different pages may be different, and namely the weight of same content tab may difference, R _jμValue set according to the practical business situation.

As shown in Figure 3, in described step 3, when being applied to books reading portal website, the present invention can also adjust the matching degree of user and page j according to the recommendation position link of the page, further includes:

Step B1, inquiring user be access (the namely clicking) information to recommending the position link within a period of time (as nearly 3 months), and recommend the position to be linked at all visited frequency that occurs in the link of position of recommending of user according to each of page j, calculate one by one each weight of recommending the position to link of page j, namely

Lr wherein _vV the weight of recommending the position link of page j, l _vBe v access times of recommending the position to link in all visited recommendation of user position link, L is that the user recommends the access total degree of position link to all;

The matching degree of step B2, adjustment user and page j: Wherein, α is the weight of user identity feature, and 1-α is the weight of user's reading behavior preference, and β recommends the position link for the importance measures weight of page Division identification, m _jThe recommendation position links total number of page j, 1r _vV the weight of recommending the position link of page j.

In like manner, as shown in Figure 4, in described step 3, when being applied to books reading portal website, the present invention can also adjust the matching degree of user and page j according to the activity of the page, further includes:

The action message that step C1, inquiring user initiatively participated within a period of time (as nearly 3 months), and according to the frequency that each activity of page j occurs in all activities that participated in the user, calculate one by one each movable weight of page j, namely Ar wherein _ηη the movable weight of page j, a _ηBe η movable participation number of times in all activities that participated in the user, A is that the user is to the participation total degree of all activities;

The matching degree of step C2, adjustment user and page j:

Wherein, α is the weight of user identity feature, and 1-α is the weight of user's reading behavior preference, and γ is movable importance measures weight for page Division identification, d _jThe movable sum of page j, ar _ηη the movable weight of page j.

For the technique effect of clearer explanation the inventive method, the applicant has extracted the BOSS identity data of certain customers and the reading access interactive data of nearly 3 months.After using the inventive method, calculate respectively user and 4 matching degrees that build the page, as shown in the table, select maximum from the matching degree of each user and 4 pages, and provide described maximum corresponding content of pages to the user.

The user	The page one	The page two	The page three	The page four	The page is provided
						User1	0.1600	0.1867	0.6000	0.0533	The page three
User2	0.3014	0.1791	0.5129	0.0067	The page three
						User3	0.6177	0.2727	0.1096	0.0000	The page one
User4	0.3902	0.4061	0.1852	0.0185	The page two
						User5	0.2087	0.3740	0.2957	0.1216	The page two
User6	0.3420	0.1961	0.4508	0.0110	The page three
						User7	0.4920	0.2320	0.2760	0.0000	The page one
User8	0.2653	0.3800	0.0295	0.3253	The page two
						User9	0.1600	0.1867	0.5834	0.0700	The page three
User10	0.1200	0.1600	0.7200	0.0000	The page three
						User11	0.1226	0.2200	0.1574	0.4999	The page four
User12	0.0147	0.2619	0.0073	0.7161	The page four
						User13	0.2737	0.3002	0.2303	0.1958	The page two
User14	0.4898	0.0327	0.4775	0.0001	The page one

From service data, the present invention can solve the deficiencies in the prior art, has realized goal of the invention and technique effect preferably.

Above-mentioned is only preferred embodiment of the present invention, in order to limit the present invention, within the spirit and principles in the present invention not all, any modification of making, is equal to replacement, improvement etc., within all should being included in the scope of protection of the invention.

Claims (11)

1. the method that personal page is provided for mobile phone users, is characterized in that, includes:

Step 1, build several different content of pages;

Step 2, obtain several characteristic indexs from the identity characteristic of mobile phone users, and based on the membership function in fuzzy mathematics, calculate respectively the degree of membership that the user belongs to the basic, normal, high end subscriber group of each characteristic index, then according to the stress accounting of each page for the basic, normal, high end subscriber group of each characteristic index, calculate at last the matching degree of each characteristic index of user and each page;

Step 3, according to matching degree and the weighted value corresponding to each characteristic index of user of each characteristic index of user and each page, calculate the matching degree of user and each page, and provide the Extraordinary content of pages to the user accordingly.

2. method according to claim 1, is characterized in that, in described step 2, the characteristic index of obtaining from the identity characteristic of mobile phone users includes but not limited to a moon communication fee, note amount, GPRS flow or age.

3. method according to claim 1, is characterized in that, in described step 2, the user belongs to i characteristic index tz _iLow-end users' degree of membership ptz _i_ low (x _i) computing formula as follows:

${\mathrm{ptz}}_i\_\mathrm{low}\left(x_i\right)=\left\{\begin{array}{cc}\frac{x_i}{a},& 0<x_i\&le;a\\ 1,& a<x_i\&le;b\\ \frac{c-x_i}{c-b},& b<x_i\&le;c\\ 0,& x_i>c\end{array}\right.;$

The user belongs to i characteristic index tz _iThe degree of membership ptz of middle-end customer group _i_ mid (x _i) computing formula as follows:

${\mathrm{ptz}}_i\_\mathrm{mid}\left(x_i\right)=\left\{\begin{array}{cc}0,& 0<x_i\&le;b\\ \frac{x_i-b}{c-b},& b<x_i\&le;c\\ 1,& c<x_i\&le;d\\ \frac{e-x_i}{e-d},& d<x_i\&le;e\\ 0,& x_i>e\end{array}\right.;$

The user belongs to i characteristic index tz _iHigh-end user group's degree of membership ptz _i_ high (x _i) computing formula as follows:

${\mathrm{ptz}}_i\_\mathrm{high}\left(x_i\right)=\left\{\begin{array}{cc}0,& 0<x_i\&le;d\\ \frac{x_i-d}{e-d},& d<x_i\&le;e\\ 1,& e<x_i\&le;f\\ \frac{g-x_i}{g-f},& f<x_i\&le;g\\ 0,& x_i>g\end{array}\right.;$

Wherein, x _iThat the user is corresponding to i characteristic index tz _iValue, interval parameter α, b, c, d, e, f, g are the real numbers greater than 0.

4. method according to claim 3, is characterized in that, when characteristic index was month communication fee, the value of described interval parameter was set to: a=25, b=40, c=45, d=60, e=80, f=125, g=800; When characteristic index was the note amount, the value of described interval parameter was set to: a=5, b=10, c=15, d=30, e=60, f=140, g=800; When characteristic index was the GPRS flow, the value of described interval parameter was set to: a=5, b=10, c=18, d=30, e=35, f=55, g=400; When characteristic index was the age, the value of described interval parameter was set to: a=5, b=10, c=15, d=30, e=60, f=140, g=80.

5. method according to claim 1, it is characterized in that, in described step 2, set in advance each page for the basic, normal, high end subscriber group's of each characteristic index the accounting that stresses, and each page is 1 for the basic, normal, high end subscriber group's of each characteristic index the accounting sum that stresses.

6. method according to claim 1, is characterized in that, in described step 2, and i characteristic index tz of user _iMatching degree p with page j _jtz _i(x _i) computing formula as follows:

p _jtz _i(x _i)=ptz _i_ low (x _i) * p _j_ tz _i_ l+ptz _i_ mid (x _i) * p _j_ tz _i_ m+ptz _i_ high (x _i) * p _j_ tz _i_ h, wherein, x _iThat the user is corresponding to i characteristic index tz _iValue, ptz _i_ low (x _i), ptz _i_ mid (x _i), ptz _i_ high (x _i) be respectively that the user belongs to i characteristic index tz _iBasic, normal, high end subscriber group's degree of membership, p _j_ tz _i_ l, p _j_ tz _i_ m, p _j_ tz _i_ h is respectively that page j is for characteristic index tz _iBasic, normal, high end subscriber group stress accounting.

7. method according to claim 1, is characterized in that, in described step 3, the computing formula of the matching degree of user and page j is as follows:

Wherein, ω _iI characteristic index tz of user _iCorresponding weighted value, n are the characteristic index sums that obtains from the user identity feature, p _jtz _i(x _i) be i characteristic index tz of user _iMatching degree with page j.

8. method according to claim 1, is characterized in that, described step 3 also includes:

Select maximum from the matching degree of user and all pages, and the corresponding content of pages of matching degree maximum is offered mobile phone users.

9. method according to claim 1, is characterized in that, when being applied to books reading portal website, according to the book content of the page, the matching degree of user and page j adjusted, and described step 3 also includes:

Steps A 1, the unduplicated content tab that upper all book contents of page j are comprised consist of page j content tab collection, and the inquiring user book information of accessing within a period of time, then the frequency of concentrating each content tab to occur in the content tab that all visited book content of user comprises according to page j content tab is calculated one by one page j content tab and is concentrated the user of each content tab-content tab weight;

The matching degree of steps A 2, adjustment user and page j: $p_j=\mathrm{\&alpha;}*p_j+(1-\mathrm{\&alpha;})*\mathrm{\&lambda;}*\underset{\mathrm{\&mu;}=1,...,n_j}{\mathrm{\&Sigma;}}{R}_{\mathrm{j\&mu;}}*{\mathrm{tr}}_{\mathrm{\&mu;}},$ Wherein, α is the weight of user identity feature, and 1-α is the weight of user's reading behavior preference, and λ is that book content is for the importance measures weight of page Division identification, n _jThe content tab sum that page j content tab is concentrated, tr _μThe page j content tab user that concentrates μ content tab-content tab weight, R _jμIt is the weight that page j content tab is concentrated μ content tab.

10. method according to claim 1, is characterized in that, when being applied to books reading portal website, according to the recommendation position link of the page, the matching degree of user and page j adjusted, and described step 3 also includes:

Step B1, inquiring user to recommending the visit information of position link, and recommend the position to be linked at all visited frequency that occurs in the link of position of recommending of user according to each of page j within a period of time, and each that calculate one by one page j recommended weight of position link;

The matching degree of step B2, adjustment user and page j:

Wherein, α is the weight of user identity feature, and 1-α is the weight of user's reading behavior preference, and β recommends the position link for the importance measures weight of page Division identification, m _jThe recommendation position links total number of page j, 1r _vV the weight of recommending the position link of page j.

11. method according to claim 1 is characterized in that, when being applied to books reading portal website, according to the activity of the page, the matching degree of user and page j is adjusted, described step 3 also includes:

The action message that step C1, inquiring user initiatively participated within a period of time, and according to the frequency that each activity of page j occurs in all activities that participated in the user, calculate one by one each movable weight of page j;

The matching degree of step C2, adjustment user and page j:

Wherein, α is the weight of user identity feature, and 1-α is the weight of user's reading behavior preference, and γ is movable importance measures weight for page Division identification, d _jThe movable sum of page j, ar _ηη the movable weight of page j.

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