CN105760393A - Webpage display method and system - Google Patents

Abstract

The invention discloses a webpage display method and system. The webpage display method comprises the following steps: S1, subject content is extracted from a webpage and is expressed by multiple graphics; S2, each graphic associated with the subject content is acquired from a database, and a page containing clicks and purchase frequency of the graphic is generated for the graphic; S3, impact factors of the graphic of the page are calculated respectively on the basis of the clicks and purchase frequency of the graphic in the page; S4, graphics with quantity equal to a preset value are selected according to the sequence from high to low of the impact factors and are taken as display graphics; S5, pages containing the display graphics are combined to serve as display content of the webpage. The graphics with higher transformation rate are displayed in positions easily clicked by a user, limited page space is used efficiently, and searching and browsing of the user are facilitated.

Description

Webpage display process and system

Technical field

The present invention relates to a kind of Webpage display process and system, the webpage particularly relating to a kind of graphic shows Show method and system.

Background technology

Along with Internet era arrival, the ecommerce of China obtains flourishing sending out in recent years Exhibition, main merchandising, from books class commodity the earliest, electrical type commodity, develops into present family and disappears Fei Pin, popular general merchandise etc..The type of merchandize of rapid expanding makes search play the part of in e-commerce field The most important role.

Wherein, a kind of technology being referred to as " shopping guide's screening " (or similar title) is usually used.Disappear The attribute that the person of expense can be correlated with by extensive stock, constantly filters and screening, eventually finds satisfied commodity. The most one-piece attribute includes " style " " sleeve length " " waist type " etc., and these will be all that user is concerned about Screening conditions.

But people have soon found that, the different categories demand when search is the most different.A kind of Example clearly is, when consumer is to focus on the most selecting the commodity such as clothing, footwear and case and bag It is style and color.And electricity business website is all to use word for the screening conditions of style and color at present Statement, it is seen that this expression way only with word is not the most directly perceived, the most even it is difficult to Expression screening condition exactly, user is easy to generation and obscures and tired.

Therefore, people, for the such popular general merchandise of clothing, footwear and case and bag, design and create a kind of new Shopping guide screen exhibiting method, be used for promoting Consumer's Experience.Its basic thought is the picture by graphic Or legend shows that shopping guide screens.Give some instances, for " the sleeve style " of skirt, Ke Yitong Cross picture to show, including: middle long sleeves, bat jacket, cap is tucked inside the sleeve, is backless etc..For " skirt length ", Can be shown by picture, including: above-knee, cross knee joint, half length etc..Diagram is used to express key Clearly, user, without reading all tediously long uninteresting words, even connects the word of pattern to the advantage of word Implication is all without it should be understood that but see that pattern is just.These pictures all can be by engineer, if Put, then read by system and be presented to consumer.

For color, it is possible to use the diagram of palette realizes, visual and understandable, it is simple to Yong Huxuan Select.

Shopping guide's attribute advantage of these graphics is it is clear that but face chooses the hugest simultaneously War: how to show more shopping guide's attribute in limited space？User's investigation shows, belongs to shopping guide The when that property being enriched very much, a lot of user only have selected shopping guide's attribute of minority.Substantial amounts of graphic belongs to Although property shows, do not produce user and click on, wasted the space of the page, forced user repeatedly Carrying out the drop-down rolling of the page, page turning etc. operates, and can cause the decline of conversion ratio on the contrary.

Summary of the invention

The technical problem to be solved in the present invention is to be shown to illustrate by key word to overcome in prior art Show that conversion ratio is relatively low, page space is wasted, user need nonetheless remain for the defect of frequent page turning, complex operation, A kind of Webpage display process and system are provided, diagram higher for conversion ratio is shown in front end, be prone to by with The position that family is clicked on, efficiently utilizes limited page space, eliminates the frequent drop-down scroll bar of user, turns over The troublesome operation of page, the retrieval facilitating user browses, it is achieved that the display directly perceived of graphic is with limited Balance between page display space.

The present invention solves above-mentioned technical problem by following technical proposals:

A kind of Webpage display process, its feature is, comprises the following steps:

S₁, from a webpage extract subject content, this subject content with multiple diagram represent；

S₂, obtain diagram that each and described subject content is associated from a data base and for each diagram Generate the number of clicks comprising described diagram and buy a page of number of times；

S₃, be based respectively in each page diagram number of clicks and buy number of times calculate the described page figure The factor of influence shown；

S₄, choose and the diagram conduct of a default value equal amount by factor of influence order from high to low Display diagram；

S₅, each is comprised the page combination display content as described webpage of described display diagram.

Preferably, step S₃Middle according to below equation be based respectively in each page diagram number of clicks and Buy the diagram of the page described at least one attribute element factor calculation of diagram in number of times and each page Factor of influence:

$\mathrm{Interests}(F,E)=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{w}_1\×\mathrm{Click}(F,E_i)+w_2\×\mathrm{Sale}(F,E_i)$

Wherein, Interests (F, E) represents the factor of influence of diagram F, and n represents the number of attribute key element E, Click(F,E_i) represent that attribute key element is E_iThe number of clicks of diagram F, Sale (F, E_i) represent attribute key element For E_iThe purchase number of times of diagram F, W₁And W₂It is respectively the weight of click behavior and purchasing behavior Weight.

Preferably, step S₃Middle according to below equation be based respectively in each page diagram number of clicks and Buy the diagram of the page described at least one attribute element factor calculation of diagram in number of times and each page Factor of influence: $\mathrm{Interests}\left(F\right)=\underset{k=1}{\overset{m}{\mathrm{\Σ}}}(1-\mathrm{\α}\×(k-1))(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{w}_i\×{\mathrm{Interests}}_i(F,E_i))$

Wherein, α represents a decay factor, w_iRepresent attribute key element E_iWeight, m represents the sky of decay Number.

Preferably, step S₃Middle according to below equation be based respectively in each page diagram number of clicks and Buy the diagram of the page described at least one attribute element factor calculation of diagram in number of times and each page Factor of influence: $\begin{array}{c}\mathrm{Interests}\left(F\right)={\mathrm{\α}}_1\×\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{w}_i\×{\mathrm{Interests}}_i(F,E_i)+{\mathrm{\α}}_2\×\underset{l=1}{\overset{n}{\mathrm{\Σ}}}{w}_i\×{\mathrm{Interests}}_l(F,E_i)\\ +{\mathrm{\α}}_3\×\underset{p=1}{\overset{n}{\mathrm{\Σ}}}{w}_i\×{\mathrm{Interests}}_p(F,E_i)\end{array}$

Wherein, α₁、α₂And α₃It is respectively Interests_i(F,E_i)、Interests_l(F,E_i) and Interests_p(F,E_i) institute Corresponding decay factor, Interests_i(F,E_i)、Interests_l(F,E_i) and Interests_p(F,E_i) represent respectively not With the factor of influence in the time period.

Preferably, described attribute key element is selected from following one or more: season key element, terrain element, Sex key element, age key element, occupation key element and income key element.

The present invention also provides for a kind of webpage display system, and its feature is, comprising:

One extraction unit, for extracting subject content from a webpage, this subject content is with multiple diagram tables Show；

One page generating unit, for obtaining, from a data base, the figure that each and described subject content is associated Show and generate, for each diagram, the number of clicks comprising described diagram and buy a page of number of times；

One computing unit, for being based respectively in each page the number of clicks of diagram and buying number of times calculating The factor of influence of the diagram of the described page；

One screening unit, for being chosen and a default value equal numbers by factor of influence order from high to low The diagram of amount is as display diagram；

One assembled unit, combines as described webpage for each comprises the page of described display diagram Display content.

Preferably, described computing unit is based respectively in each page the click time of diagram according to below equation Count and buy the figure of the page described at least one attribute element factor calculation of diagram in number of times and each page The factor of influence shown:

$\mathrm{Interests}(F,E)=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{w}_1\×\mathrm{Click}(F,E_i)+w_2\×\mathrm{Sale}(F,E_i)$

Wherein, Interests (F, E) represents the factor of influence of diagram F, and n represents the number of attribute key element E, Click(F,E_i) represent that attribute key element is E_iThe number of clicks of diagram F, Sale (F, E_i) represent attribute key element For E_iThe purchase number of times of diagram F, W₁And W₂It is respectively the weight of click behavior and purchasing behavior Weight.

Preferably, described computing unit is based respectively in each page the click time of diagram according to below equation Count and buy the figure of the page described at least one attribute element factor calculation of diagram in number of times and each page The factor of influence shown: $\mathrm{Interests}\left(F\right)=\underset{k=1}{\overset{m}{\mathrm{\Σ}}}(1-\mathrm{\α}\×(k-1))(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{w}_i\×{\mathrm{Interests}}_i(F,E_i))$

Wherein, α represents a decay factor, w_iRepresent attribute key element E_iWeight, m represents the sky of decay Number.

Preferably, described computing unit is based respectively in each page the click time of diagram according to below equation Count and buy the figure of the page described at least one attribute element factor calculation of diagram in number of times and each page The factor of influence shown: $\begin{array}{c}\mathrm{Interests}\left(F\right)={\mathrm{\α}}_1\×\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{w}_i\×{\mathrm{Interests}}_i(F,E_i)+{\mathrm{\α}}_2\×\underset{l=1}{\overset{n}{\mathrm{\Σ}}}{w}_i\×{\mathrm{Interests}}_l(F,E_i)\\ +{\mathrm{\α}}_3\×\underset{p=1}{\overset{n}{\mathrm{\Σ}}}{w}_i\×{\mathrm{Interests}}_p(F,E_i)\end{array}$

Wherein, α₁、α₂And α₃It is respectively Interests_i(F,E_i)、Interests_l(F,E_i) and Interests_p(F,E_i) institute Corresponding decay factor, Interests_i(F,E_i)、Interests_l(F,E_i) and Interests_p(F,E_i) represent respectively not With the factor of influence in the time period.

Preferably, this attribute key element is selected from following one or more: season key element, terrain element, property Other key element, age key element, occupation key element and income key element.

On the basis of meeting common sense in the field, above-mentioned each optimum condition, can combination in any, i.e. get Ben Fa Bright each preferred embodiments.

The most progressive effect of the present invention is: by Webpage display process and the system of the present invention, screening Go out higher the illustrating to show in limited page space of conversion ratio, describe screening bar the most intuitively Part, also eliminates the frequent drop-down scroll bar of user, the operation of frequent page turning, and the retrieval facilitating user is clear Look at, it is achieved that the balance between display directly perceived and the limited page display space of graphic.

Accompanying drawing explanation

Fig. 1 is the flow chart of the Webpage display process of one embodiment of the invention.

Fig. 2 is the structured flowchart of the webpage display system of one embodiment of the invention.

Detailed description of the invention

Further illustrate the present invention below by the mode of embodiment, but the most therefore limit the present invention to Among described scope of embodiments.

With reference to Fig. 1 and Fig. 2, this Webpage display process, comprise the following steps:

S₁, from a webpage extract subject content, this subject content with multiple diagram represent；

S₂, obtain diagram that each and described subject content is associated from a data base and for each diagram Generate the number of clicks comprising described diagram and buy a page of number of times；

S₃, be based respectively in each page diagram number of clicks and buy number of times calculate the described page figure The factor of influence shown；

S₄, choose and the diagram conduct of a default value equal amount by factor of influence order from high to low Display diagram；

S₅, each is comprised the page combination display content as described webpage of described display diagram.

For example, the hobby because have season, region and individual subscriber of user's search condition is affected Factor.

Seasonal: to separate 4 seasons of autumn and winter in summer.Interests represent certain graphic shopping guide's attribute (with Diagram represent) factor of influence, F pictorial representation shopping guide's attribute, S represents key element in season.W₁With W₂Weight is for regulating click, buying significance level for a user, the two and be 1, then

$\mathrm{Interests}(F,S)=\underset{i=1}{\overset{4}{\mathrm{\Σ}}}{w}_1\×\mathrm{Click}(F,S_i)+w_2\×\mathrm{Sale}(F,S_i)$

Region: even country divides according to city, province.Interests represents certain diagram Factor of influence, F pictorial representation shopping guide's attribute, D represents terrain element, it may be possible to city, province, country Deng different brackets.W₁And W₂Weight is for regulating click, buying significance level for a user, The two and be 1, then

$\mathrm{Interests}(F,D)=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{w}_1\×\mathrm{Click}(F,D_i)+w_2\×\mathrm{Sale}(F,D_i)$

Individual character: divide according to user group.It is to be particularly noted that user group divided than season and Region zones is more complicated.Optimal situation, everyone has the modeling of oneself.But reality system In system, it is contemplated that the complexity of realization and cost, often user is cut into bigger colony.Here false If user has been divided into n.Represent certain diagram factor of influence, U represent customer group (or Unique user), F pictorial representation shopping guide's attribute.W₁And W₂Weight is for regulating click, buying Significance level for a user, the two and be 1, then

$\mathrm{Interests}(F,U)=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{w}_1\×\mathrm{Click}(F,U_i)+w_2\×\mathrm{Sale}(F,U_i)$

It addition, the diagram higher in order to obtain conversion ratio more accurately, this Webpage display process also introduces Ageing key element.Here having 2 kinds of basic implementations, a kind of is that conversion ratio can thin according to every day Granularity decays.Another kind is to decay according to week, the moon, season and year different grain size.

Decay according to every day, it is assumed that consider nearest n days.This is to combine above-mentioned 3 factor (W₁, W₂And W₃It is the weight for 3 factors, adjusts according to business demand), and by declining over n days Subtract.α is decay factor.

$\mathrm{Interests}\left(F\right)=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}(1-\mathrm{\α}\×(i-1))(w_1\×{\mathrm{Interests}}_i(F,S)+w_2\×{\mathrm{Interests}}_i(F,D)+w_3\×{\mathrm{Interests}}_i(F,U))$

Decay according to different grain size, it is assumed that consider nearest 1 week, 1 month and 1 season

Interests (F)=α₁×(w₁×Interests_week(F,S)+w₂×Interests_week(F,D)+w₃×Interests_week(F,U))

+α₂×(w₁×Interests_month(F,S)+w₂×Interests_month(F,D)+w₃×Interests_month(F,U)

+α₃×(w₁×Interests_quarter(F,S)+w₂×Interests_quarter(F,D)+w₃×Interests_quarter(F,U)

Correspondingly, webpage display system of the present invention, comprising:

One extraction unit 1, for extracting subject content from a webpage, this subject content is with multiple diagrams Represent；

One page generating unit 2, for obtaining what each and described subject content was associated from a data base Illustrate and generate the number of clicks comprising described diagram and a page of purchase number of times for each diagram；

One computing unit 3, based on the number of clicks being based respectively in each page diagram and purchase number of times Calculate the factor of influence of the diagram of the described page；

One screening unit 4, for choosing equal with a default value by factor of influence order from high to low The diagram of quantity is as display diagram；

One assembled unit 5, combines as described webpage for each comprises the page of described display diagram Display content.

For the effectiveness of Webpage display process and system proving the present invention and preferably effect, collection On line, real user clicks on behavior.Sampling period is 1 month 30 days, including 10,000 frequent shopping Shopping guide's attribute of user and corresponding click totally 158,749 times.

Experimental hypothesis:

Shopping guide's attribute (i.e. diagram) arranges in a certain order.User clicks on the forward shopping guide of ranking and belongs to Property is the most, it was demonstrated that it is the most reasonable to arrange.

By our modeling, it is possible to promote user and click on the number of times of forward shopping guide's attribute.

In order to verify that conversion ratio is improved really, (search is drawn by one to employ general NDCG Hold up or the tolerance of relative program effectiveness) judgment criteria its represent implication be exactly, if dependency (rel) High be arranged in before.

${\mathrm{DCG}}_p={\mathrm{rel}}_1+\underset{i=2}{\overset{p}{\mathrm{\Σ}}}\frac{{\mathrm{rel}}_i}{{\log }_2\left(i\right)}$

Wherein IDCG is the comprehensive of front p DCG result.

Here the probability that dependency (rel) marking is clicked on shopping guide's attribute by user determines. Click represents that number of clicks, Show represent the number of times showing user.

If the diagram of display is the most clicked, the most just illustrate that such display diagramatic way has higher Conversion ratio.

Experimental result:

There are experimental data and experimental hypothesis, compared 2 groups of data: A group is random alignment shopping guide's attribute, B group is that the display packing by the present invention shows shopping guide's attribute.Model is respectively: only use seasonality Factor, only uses region factor, only uses personality factors, and Use Limitation also considers above-mentioned 3 Individual factor.Weights are all according to industry experience value, (other can be used to weigh from Row sum-equal matrix when implementing Value perhaps concrete data are different, but lifting trend is constant)

We have investigated 2 settings the most simultaneously: the clicking rate of the most front 3 shopping guide's attributes, and first 10 Clicking rate, the results are shown in Table 1.

Table 1 clicking rate comparison sheet

From Data Comparison it can be seen that use the B group of the display packing of the present invention, particularly 4 big factors Comprehensive, will be substantially improved shopping guide's attribute click on probability.When investigating front 3 shopping guide's attributes, finally carry Rise 249%, it is considered to during front 10 shopping guide's attributes, finally promoted 205%.These all prove ours Modeling scheme is feasible and effective, can be in the case of showing limited graphic shopping guide's attribute, greatly Width improves clicking rate.

By Webpage display process and the system of the present invention, filter out the higher diagram of conversion ratio with limited Page space in show, describe screening conditions the most intuitively, also eliminate the frequent drop-down rolling of user Dynamic bar, the operation of frequent page turning, the retrieval facilitating user browses, it is achieved that the display directly perceived of graphic And the balance between limited page display space.

Although the foregoing describing the detailed description of the invention of the present invention, but those skilled in the art should managing Solving, these are merely illustrative of, and protection scope of the present invention is defined by the appended claims.This The technical staff in field, can be to these embodiment party on the premise of without departing substantially from the principle of the present invention and essence Formula makes various changes or modifications, but these changes and amendment each fall within protection scope of the present invention.

Claims (10)

1. a Webpage display process, it is characterised in that comprise the following steps:

S₁, from a webpage extract subject content, this subject content with multiple diagram represent；

S₂, obtain diagram that each and described subject content is associated from a data base and for each diagram Generate the number of clicks comprising described diagram and buy a page of number of times；

S₃, be based respectively in each page diagram number of clicks and buy number of times calculate the described page figure The factor of influence shown；

S₄, choose and the diagram conduct of a default value equal amount by factor of influence order from high to low Display diagram；

S₅, each is comprised the page combination display content as described webpage of described display diagram.

2. Webpage display process as claimed in claim 1, it is characterised in that step S₃Middle basis with Lower formula is based respectively in each page the number of clicks of diagram and buys figure in number of times and each page The factor of influence of the diagram of the page described at least one the attribute element factor calculation shown:

$\mathrm{Interests}(F,E)=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{w}_1\×\mathrm{Click}(F,E_i)+w_2\×\mathrm{Sale}(F,E_i)$

Wherein, Interests (F, E) represents the factor of influence of diagram F, and n represents the number of attribute key element E, Click(F,E_i) represent that attribute key element is E_iThe number of clicks of diagram F, Sale (F, E_i) represent attribute key element For E_iThe purchase number of times of diagram F, W₁And W₂It is respectively the weight of click behavior and purchasing behavior Weight.

3. Webpage display process as claimed in claim 2, it is characterised in that step S₃Middle basis with Lower formula is based respectively in each page the number of clicks of diagram and buys figure in number of times and each page The factor of influence of the diagram of the page described at least one the attribute element factor calculation shown:

$\mathrm{Interests}\left(F\right)=\underset{k=1}{\overset{m}{\mathrm{\Σ}}}(1-\mathrm{\α}\×(k-1))(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{w}_i\×{\mathrm{Interests}}_i(F,E_i))$

Wherein, α represents a decay factor, w_iRepresent attribute key element E_iWeight, m represents the sky of decay Number.

4. Webpage display process as claimed in claim 2, it is characterised in that step S₃Middle basis with Lower formula is based respectively in each page the number of clicks of diagram and buys figure in number of times and each page The factor of influence of the diagram of the page described at least one the attribute element factor calculation shown:

$\begin{array}{c}\mathrm{Interests}\left(F\right)={\mathrm{\α}}_1\×\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{w}_i\×{\mathrm{Interests}}_i(F,E_i)+{\mathrm{\α}}_2\×\underset{l=1}{\overset{n}{\mathrm{\Σ}}}{w}_i\×{\mathrm{Interests}}_l(F,E_i)\\ +{\mathrm{\α}}_3\×\underset{p=1}{\overset{n}{\mathrm{\Σ}}}{w}_i\×{\mathrm{Interests}}_p(F,E_i)\end{array}$

Wherein, α₁、α₂And α₃It is respectively Interests_i(F,E_i)、Interests_l(F,E_i) and Interests_p(F,E_i) institute Corresponding decay factor, Interests_i(F,E_i)、Interests_l(F,E_i) and Interests_p(F,E_i) represent respectively not With the factor of influence in the time period.

5. the Webpage display process as described in any one in claim 2-4, it is characterised in that institute State attribute key element selected from following one or more: season key element, terrain element, sex key element, the age Key element, occupation key element and income key element.

6. a webpage display system, it is characterised in that comprising:

One extraction unit, for extracting subject content from a webpage, this subject content is with multiple diagram tables Show；

One page generating unit, for obtaining, from a data base, the figure that each and described subject content is associated Show and generate, for each diagram, the number of clicks comprising described diagram and buy a page of number of times；

One computing unit, for being based respectively in each page the number of clicks of diagram and buying number of times calculating The factor of influence of the diagram of the described page；

One screening unit, for being chosen and a default value equal numbers by factor of influence order from high to low The diagram of amount is as display diagram；

One assembled unit, combines as described webpage for each comprises the page of described display diagram Display content.

7. webpage display system as claimed in claim 6, it is characterised in that described computing unit root It is based respectively in each page the number of clicks of diagram according to below equation and buys number of times and each page The factor of influence of the diagram of the page described at least one attribute element factor calculation of middle diagram:

$\mathrm{Interests}(F,E)=\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{w}_1\×\mathrm{Click}(F,E_i)+w_2\×\mathrm{Sale}(F,E_i)$

Wherein, Interests (F, E) represents the factor of influence of diagram F, and n represents the number of attribute key element E, Click(F,E_i) represent that attribute key element is E_iThe number of clicks of diagram F, Sale (F, E_i) represent attribute key element For E_iThe purchase number of times of diagram F, W₁And W₂It is respectively the weight of click behavior and purchasing behavior Weight.

8. webpage display system as claimed in claim 7, it is characterised in that described computing unit root It is based respectively in each page the number of clicks of diagram according to below equation and buys number of times and each page The factor of influence of the diagram of the page described at least one attribute element factor calculation of middle diagram:

$\mathrm{Interests}\left(F\right)=\underset{k=1}{\overset{m}{\mathrm{\Σ}}}(1-\mathrm{\α}\×(k-1))(\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{w}_i\×{\mathrm{Interests}}_i(F,E_i))$

Wherein, α represents a decay factor, w_iRepresent attribute key element E_iWeight, m represents the sky of decay Number.

9. webpage display system as claimed in claim 7, it is characterised in that described computing unit root It is based respectively in each page the number of clicks of diagram according to below equation and buys number of times and each page The factor of influence of the diagram of the page described at least one attribute element factor calculation of middle diagram:

$\begin{array}{c}\mathrm{Interests}\left(F\right)={\mathrm{\α}}_1\×\underset{i=1}{\overset{n}{\mathrm{\Σ}}}{w}_i\×{\mathrm{Interests}}_i(F,E_i)+{\mathrm{\α}}_2\×\underset{l=1}{\overset{n}{\mathrm{\Σ}}}{w}_i\×{\mathrm{Interests}}_l(F,E_i)\\ +{\mathrm{\α}}_3\×\underset{p=1}{\overset{n}{\mathrm{\Σ}}}{w}_i\×{\mathrm{Interests}}_p(F,E_i)\end{array}$

Wherein, α₁、α₂And α₃It is respectively Interests_i(F,E_i)、Interests_l(F,E_i) and Interests_p(F,E_i) institute Corresponding decay factor, Interests_i(F,E_i)、Interests_l(F,E_i) and Interests_p(F,E_i) represent respectively not With the factor of influence in the time period.

10. the webpage display system as described in any one in claim 6-9, it is characterised in that should Attribute key element is selected from following one or more: season key element, terrain element, sex key element, age want Key element plain, professional and income key element.