CN105335873A - Method and device for acquiring quality of advertisement space and electronic equipment - Google Patents

Abstract

The embodiment of the invention discloses a method and a device for acquiring quality of an advertisement space and electronic equipment. The method comprises the following steps: acquiring the page browsing amount and the conversion rate of each advertisement on each advertisement position in the same page within a preset time period; taking the advertisement positions in the same page as a unit, acquiring common advertisements in the advertisement positions, which have the same advertisements as preset reference advertisement positions, and counting the sum of the page browsing amount of the common advertisements; arranging the reference advertisement positions at the head, and sequencing the advertisement positions according to the counted sum value to generate a queue; and calculating the relative quality measure of the current advertisement space in the queue by using the page browsing amount and the conversion rate of each advertisement space before the current advertisement space except the reference advertisement space in the queue to obtain the quality of the advertisement space. By applying the method and the device, the accuracy of the quality of the obtained advertisement space can be improved.

Description

A kind of method, device and electronic equipment obtaining advertisement position quality

Technical field

The present invention relates to internet advertisement technology, particularly relate to a kind of method, device and the electronic equipment that obtain advertisement position quality.

Background technology

Along with developing rapidly of the communication technology, carry out online payment by Internet and become more and more universal, thus, suitable, effective, that quality is higher advertisement becomes each manufacturer and attracts user buy product and carry out the important means of online payment, the advertisement operators of specialty is by being each manufacturer customized advertising, and utilize Internet the advertisement putting of customization to be shown to client, thus be convenient to user and browse and click the relevant embody rule information of checking and comprising in advertisement.

The effect of the advertisement that Internet presents, relevant to the advertisement position in Internet, advertisement position refers to the regulation status that advertisement is first residing when specific medium is issued, and different advertisement positions has different design patterns, and the audient of advertisement putting simultaneously distribution also can be different.Thus, the magnitude of value (quality) of advertisement position, not only to advertisement position size, advertisement position position, that advertisement position represents the factors such as form is relevant, also relevant to the various parameters of the network address belonging to advertisement position, such as, the factor such as advertisement position affiliated web site flow, advertisement position affiliated web site the industry, advertisement position affiliated web site customer group feature is correlated with.Above-mentioned each combined factors, has an impact to the quality of advertisement position and the effect of publicity of advertisement together.

Same advertisement, may throw on the advertisement position of multiple Internet, due to attribute (the advertisement position size of above-mentioned advertisement position itself, position, represent form, website traffic, website the industry, website user's group character) difference, between different advertisement positions, even same advertisement, clicking rate and conversion ratio (turn over number of advertisement is divided by the quotient of the displaying number of advertisement) also may also exist huge difference, thus, quantize the difference of variant advertisement position quality in website, the input of advertisement can be optimized, promote advertisement position platform income, significant to the input effect effectively improving advertisement.

In prior art, when obtaining advertisement position quality, in units of the webpage of website, normally add up in a period of time of pre-setting, the average conversion of all advertisements that each advertisement position in this webpage is thrown in, as the advertisement position quality of this advertisement position, but the method for this acquisition advertisement position quality, the advertisement distribution of throwing in due to each advertisement position is different, such as, advertisement position A in this webpage is mainly used in showing some high-quality advertisements, and advertisement position B is mainly used in showing some inferior quality advertisements, like this, because the advertisement distribution of throwing in is different, make to calculate the advertisement position mass accuracy obtained not high.Due in Internet, the webpage quantity in website is many, and type is varied, and scale differs, thus, in the urgent need to have a kind of can the method for advertisement position quality in objective evaluation webpage.

Summary of the invention

In view of this, the embodiment of the present invention provides a kind of method, device and the electronic equipment that obtain advertisement position quality, promotes the accuracy of the advertisement position quality obtained.

For achieving the above object, embodiments of the invention adopt following technical scheme:

First aspect, the embodiment of the present invention provides a kind of method obtaining advertisement position quality, comprising:

Within the time period pre-set, obtain page browsing amount and the conversion ratio of each advertisement on each advertisement position in the same page;

In units of advertisement position in the described same page, obtain in advertisement position, with the benchmark advertisement position pre-set, there is the total advertisement of same advertisement, add up the page browsing amount of described total advertisement and value;

Described benchmark advertisement position is ranked the first, then advertisement position is sorted with value according to statistics, generate queue;

Utilize page browsing amount and the conversion ratio of each advertisement position before the Current ad position in described queue except benchmark advertisement position, calculate the relative mass degree of Current ad position described in described queue, obtain advertisement position quality.

Preferably, after the page browsing amount of each advertisement on each advertisement position in the same page of described acquisition and conversion ratio, described method comprises further:

Filtering page browsing amount be less than the page browsing amount threshold value that pre-sets and/or, turn over number is less than page browsing amount corresponding to the advertisement of the turn over number threshold value pre-set and conversion ratio.

Preferably, with the benchmark advertisement position pre-set, there is the total advertisement of same advertisement in described acquisition advertisement position, add up comprising with value of the page browsing amount of described total advertisement:

Extract each advertisement that described benchmark advertisement position is thrown in;

Travel through the advertisement that in the same page, the first advertisement position is thrown in, obtain the total advertisement identical with the advertisement that described benchmark advertisement position is thrown in;

Cumulative described total advertisement in the page browsing amount of described first advertisement position, obtain the page browsing amount of described first advertisement position and value.

Preferably, described queue advertisement position is sorted from large to little order with value according to statistics, the page browsing amount of each advertisement position before the described Current ad position utilized in described queue except benchmark advertisement position and conversion ratio, the relative mass degree calculating Current ad position described in described queue comprises:

Based on ranking in described queue be 1 advertisement position and ranking be the advertisement position of h, calculate advertisement position that described ranking is h and ranking be 1 advertisement position there is the weight of each advertisement in the first quantity advertisement of same advertisement, h is natural number and is constant;

The described ranking that accumulation calculating obtains to be the advertisement position of h and ranking be 1 advertisement position there is the weight of each advertisement in the first quantity advertisement of same advertisement, obtaining described ranking is that the first-phase confrontation of the advertisement position of h is measured;

If h equals 2, be that the first-phase of the advertisement position of h confronts the relative mass degree measured as described Current ad position by described ranking;

If h is greater than 2, the value of traversal i, to extract ranking be respectively the advertisement position of h and ranking is the i-th quantity advertisement that the advertisement position of i has same advertisement, and i is less than h;

From described i-th quantity advertisement, the advertisement that filtering occurs in described first quantity advertisement to (i-1) quantity advertisement, obtains the i-th same advertisement;

Calculate the weight that advertisement position that described ranking is h and ranking are each advertisement of advertisement position in described i-th same advertisement of i;

The weight of the described ranking that accumulation calculating obtains to be the advertisement position of h and ranking the be each advertisement of advertisement position in described i-th same advertisement of i, obtains the i-th relative mass degree that described ranking is the advertisement position of h;

Measure to the i-th relative mass degree and respective page pageview according to first-phase confrontation, obtain the relative mass degree that described ranking is the advertisement position of h.

Preferably, utilize following formula to calculate advertisement position that described ranking is h and ranking be 1 advertisement position there is the weight of each advertisement in the first quantity advertisement of same advertisement:

${\mathrm{\ξ}}_{h1j}=\frac{{\mathrm{pv}}_{h1j}}{\mathrm{pv}\_\mathrm{overla}{p}_{h1}}x\frac{{\mathrm{icvr}}_{h1j}}{\mathrm{icvr}\_\mathrm{bas}{e}_{h1j}}$

In formula,

ξ _h1jfor ranking in queue is in the advertisement position of h, the weight of the jth advertisement in the first quantity advertisement of the same advertisement that the advertisement position being 1 with ranking has, j is natural number;

Pv _h1jfor ranking in queue is in the advertisement position of h, the page browsing amount of the jth advertisement in the first quantity advertisement of the same advertisement that the advertisement position being 1 with ranking has;

Pv_overlap _h1for ranking in queue is in the advertisement position of h, the advertisement position being 1 with ranking has the page browsing amount of all advertisements in the first quantity advertisement of same advertisement;

Icvr _h1jfor ranking in queue is in the advertisement position of h, the conversion ratio of the jth advertisement in the first quantity advertisement of the same advertisement that the advertisement position being 1 with ranking has;

Icvr_base _h1jfor ranking in queue is in the advertisement position of h, the jth advertisement in the first quantity advertisement of the same advertisement that the advertisement position being 1 with ranking has is at the conversion ratio of benchmark advertisement position;

Wherein,

J≤k, k are the advertisement number that the first quantity advertisement packets contains.

Preferably, the first-phase confrontation utilizing following formula to calculate the advertisement position that described ranking is h is measured:

${\mathrm{\ξ}}_{h1}=\underset{j=1}{\overset{k}{\mathrm{\Σ}}}{\mathrm{\ξ}}_{h1j}$

In formula, ξ _h1the first-phase confrontation being the advertisement position of h for ranking is measured.

Preferably, the weight of utilize following formula to calculate advertisement position that described ranking is h and each advertisement of advertisement position in described i-th same advertisement that ranking is i:

${\mathrm{\ξ}}_{\mathrm{hip}}=\frac{{\mathrm{pv}}_{\mathrm{hip}}}{\mathrm{pv}\_\mathrm{overla}{p}_{\mathrm{hi}}}x\frac{{\mathrm{icvr}}_{\mathrm{hip}}}{i{\mathrm{cvr}\_\mathrm{base}}_{\mathrm{hip}}}$

In formula,

ξ _hipfor ranking in queue is in the advertisement position of h, with ranking be the advertisement position of i in described i-th same advertisement in the weight of p advertisement, p is natural number, and p≤P, P are the number of advertisement in the i-th same advertisement;

Pv _hijfor ranking in queue is in the advertisement position of h, be the page browsing amount of jth the advertisement of advertisement position in described i-th same advertisement of i with ranking;

Pv_overlap _hifor ranking in queue is in the advertisement position of h, be the page browsing amount of all advertisements of advertisement position in described i-th same advertisement of i with ranking;

Icvr _hijfor ranking in queue is in the advertisement position of h, with ranking be the advertisement position of i in described i-th same advertisement in the conversion ratio of a jth advertisement;

Icvvr_base _hijfor ranking in queue is in the advertisement position of h, with ranking be the advertisement position of i in described i-th same advertisement in a jth advertisement at the conversion ratio of benchmark advertisement position.

Preferably, following formula is utilized to calculate the relative mass degree of the advertisement position that described ranking is h:

$\underset{i=1}{\overset{h-1}{\mathrm{\Σ}}}\left(\frac{{\mathrm{pv}\_\mathrm{overlap}}_{\mathrm{hi}}}{\underset{r=1}{\overset{h-1}{\mathrm{\Σ}}}{\mathrm{pv}\_\mathrm{overlap}}_{\mathrm{hr}}}x{\mathrm{\ξ}}_{\mathrm{hi}}\right).$

Second aspect, the embodiment of the present invention provides a kind of device obtaining advertisement position quality, comprising:

Advertisement parameters acquisition module, total advertistics module, order module and advertisement position Quality Calculation Module, wherein,

Advertisement parameters acquisition module, within the time period pre-set, obtains page browsing amount and the conversion ratio of each advertisement on each advertisement position in the same page;

Total advertistics module, in units of the advertisement position in the described same page, obtains in advertisement position and has the total advertisement of same advertisement with the benchmark advertisement position pre-set, add up the page browsing amount of described total advertisement and value;

Order module, for described benchmark advertisement position is ranked the first, then advertisement position is sorted with value according to statistics, generate queue;

Advertisement position Quality Calculation Module, for utilizing page browsing amount and the conversion ratio of each advertisement position before the Current ad position in described queue except benchmark advertisement position, calculating the relative mass degree of Current ad position described in described queue, obtaining advertisement position quality.

Preferably, described device comprises further:

Advertisement parameters filtering module, for filtering page browsing amount be less than the page browsing amount threshold value that pre-sets and/or, turn over number is less than page browsing amount corresponding to the advertisement of the turn over number threshold value pre-set and conversion ratio.

Preferably, described total advertistics module comprises: extraction unit, Traversal Unit and summing elements, wherein,

Extraction unit, for extracting each advertisement that described benchmark advertisement position is thrown in;

Traversal Unit, for traveling through the advertisement that in the same page, the first advertisement position is thrown in, obtains the total advertisement identical with the advertisement that described benchmark advertisement position is thrown in;

Summing elements, for the page browsing amount of cumulative described total advertisement at described first advertisement position, obtain the page browsing amount of described first advertisement position and value.

Preferably, described advertisement position Quality Calculation Module comprises: the confrontation of the first weight calculation unit, first-phase is measured the confrontation of acquiring unit, judging unit, advertisement position quality acquiring unit, variable Traversal Unit, same advertisement filtering unit, the second weight calculation unit and second-phase and measured acquiring unit, wherein

First weight calculation unit, be the advertisement position of h for being advertisement position and the ranking of 1 based on ranking in described queue, calculate advertisement position that described ranking is h and ranking be 1 advertisement position there is the weight of each advertisement in the first quantity advertisement of same advertisement, described queue advertisement position is sorted from large to little order with value according to statistics, h is natural number and is constant;

Acquiring unit is measured in first-phase confrontation, the described ranking obtained for accumulation calculating to be the advertisement position of h and ranking be 1 advertisement position there is the weight of each advertisement in the first quantity advertisement of same advertisement, obtaining described ranking is that the first-phase confrontation of the advertisement position of h is measured;

Judging unit, for judging whether h equals 2, if h equals 2, described ranking is that the first-phase of the advertisement position of h confronts the relative mass degree measured as described Current ad position by notice advertisement position quality acquiring unit; If h is greater than 2, notice variable Traversal Unit;

Variable Traversal Unit, for traveling through the value of i, to extract ranking be respectively the advertisement position of h and ranking is the i-th quantity advertisement that the advertisement position of i has same advertisement, and i is less than h;

Same advertisement filtering unit, for from described i-th quantity advertisement, the advertisement that filtering occurs in described first quantity advertisement to (i-1) quantity advertisement, obtains the i-th same advertisement;

Second weight calculation unit, for calculating the weight that advertisement position that described ranking is h and ranking are each advertisement of advertisement position in described i-th same advertisement of i;

Acquiring unit is measured in second-phase confrontation, and the weight of the described ranking obtained for accumulation calculating to be the advertisement position of h and ranking the be each advertisement of advertisement position in described i-th same advertisement of i, obtains the i-th relative mass degree that described ranking is the advertisement position of h;

Advertisement position quality acquiring unit, for measuring to the i-th relative mass degree and respective page pageview according to first-phase confrontation, obtains the relative mass degree that described ranking is the advertisement position of h.

Preferably, utilize following formula to calculate advertisement position that described ranking is h and ranking be 1 advertisement position there is the weight of each advertisement in the first quantity advertisement of same advertisement:

${\mathrm{\ξ}}_{h1j}=\frac{{\mathrm{pv}}_{h1y}}{{\mathrm{pv}\_\mathrm{overlap}}_{h1}}x\frac{{\mathrm{icvr}}_{h1j}}{\mathrm{icvr}\_\mathrm{bas}{e}_{h1j}}$

In formula,

ξ _h1jfor ranking in queue is in the advertisement position of h, the weight of the jth advertisement in the first quantity advertisement of the same advertisement that the advertisement position being 1 with ranking has, j is natural number;

Pv _h1jfor ranking in queue is in the advertisement position of h, the page browsing amount of the jth advertisement in the first quantity advertisement of the same advertisement that the advertisement position being 1 with ranking has;

Pv_overlap _h1for ranking in queue is in the advertisement position of h, the advertisement position being 1 with ranking has the page browsing amount of all advertisements in the first quantity advertisement of same advertisement;

Icvr _h1jfor ranking in queue is in the advertisement position of h, the conversion ratio of the jth advertisement in the first quantity advertisement of the same advertisement that the advertisement position being 1 with ranking has;

Icvr_base _h1jfor ranking in queue is in the advertisement position of h, the jth advertisement in the first quantity advertisement of the same advertisement that the advertisement position being 1 with ranking has is at the conversion ratio of benchmark advertisement position;

Wherein,

J≤k, k are the advertisement number that the first quantity advertisement packets contains.

Preferably, the first-phase confrontation utilizing following formula to calculate the advertisement position that described ranking is h is measured:

${\mathrm{\ξ}}_{h1}=\underset{j=1}{\overset{k}{\mathrm{\Σ}}}{\mathrm{\ξ}}_{h1j}$

In formula, ξ _h1the first-phase confrontation being the advertisement position of h for ranking is measured.

Preferably, the weight of utilize following formula to calculate advertisement position that described ranking is h and each advertisement of advertisement position in described i-th same advertisement that ranking is i:

${\mathrm{\ξ}}_{\mathrm{hip}}=\frac{{\mathrm{pv}}_{\mathrm{hip}}}{{\mathrm{pv}\_\mathrm{overlap}}_{\mathrm{hi}}}x\frac{{\mathrm{icvr}}_{\mathrm{hip}}}{\mathrm{icvr}\_\mathrm{bas}{e}_{\mathrm{hip}}}$

In formula,

ξ _hipfor ranking in queue is in the advertisement position of h, with ranking be the advertisement position of i in described i-th same advertisement in the weight of p advertisement, p is natural number, and p≤P, P are the number of advertisement in the i-th same advertisement;

Pv _hijfor ranking in queue is in the advertisement position of h, be the page browsing amount of jth the advertisement of advertisement position in described i-th same advertisement of i with ranking;

Pv_overlap _hifor ranking in queue is in the advertisement position of h, be the page browsing amount of all advertisements of advertisement position in described i-th same advertisement of i with ranking;

Icvr _hijfor ranking in queue is in the advertisement position of h, with ranking be the advertisement position of i in described i-th same advertisement in the conversion ratio of a jth advertisement;

Icvr_base _hijfor ranking in queue is in the advertisement position of h, with ranking be the advertisement position of i in described i-th same advertisement in a jth advertisement at the conversion ratio of benchmark advertisement position.

Preferably, following formula is utilized to calculate the relative mass degree of the advertisement position that described ranking is h:

$\underset{i=1}{\overset{h-1}{\mathrm{\Σ}}}\left(\frac{{\mathrm{pv}\_\mathrm{overlap}}_{\mathrm{hi}}}{\underset{r=1}{\overset{h-1}{\mathrm{\Σ}}}{\mathrm{pv}\_\mathrm{overlap}}_{\mathrm{hr}}}x{\mathrm{\ξ}}_{\mathrm{hi}}\right).$

The third aspect, the embodiment of the present invention provides a kind of electronic installation, and described electronic installation comprises: housing, processor, storer, circuit board and power circuit, wherein, circuit board is placed in the interior volume that housing surrounds, and processor and storer are arranged on circuit boards; Power circuit, for powering for each circuit of above-mentioned electronic equipment or device; Storer is used for stores executable programs code; Processor runs the program corresponding with executable program code, for performing following steps by reading the executable program code stored in storer:

Within the time period pre-set, obtain page browsing amount and the conversion ratio of each advertisement on each advertisement position in the same page;

In units of advertisement position in the described same page, obtain in advertisement position, with the benchmark advertisement position pre-set, there is the total advertisement of same advertisement, add up the page browsing amount of described total advertisement and value;

Described benchmark advertisement position is ranked the first, then advertisement position is sorted with value according to statistics, generate queue;

Utilize page browsing amount and the conversion ratio of each advertisement position before the Current ad position in described queue except benchmark advertisement position, calculate the relative mass degree of Current ad position described in described queue, obtain advertisement position quality.

The method of the acquisition advertisement position quality that the embodiment of the present invention provides, device and electronic equipment, to be gone forward side by side line ordering by the total advertisement of extracting in advertisement position and benchmark advertisement position, utilize Current ad position and each advertisement position arranged before advertisement position in this prior, the advertisement position quality of weighted calculation Current ad position, effectively can eliminate the impact of advertisement distribution in advertisement position, advertisement position quality can be calculated exactly, improve the accuracy of the advertisement position quality of acquisition.

Accompanying drawing explanation

In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.

Fig. 1 is the method flow schematic diagram that the embodiment of the present invention obtains advertisement position quality;

Fig. 2 is page browsing amount and the conversion ratio of each advertisement position before the embodiment of the present invention utilizes in described queue except benchmark advertisement position Current ad position, calculates the schematic flow sheet of the relative mass degree of Current ad position described in described queue;

Fig. 3 is the apparatus structure schematic diagram that the embodiment of the present invention obtains advertisement position quality;

Fig. 4 is the advertisement position Quality Calculation Module structural representation of the embodiment of the present invention;

Fig. 5 is the structural representation of an electronic equipment of the present invention embodiment.

Embodiment

Below in conjunction with accompanying drawing, the embodiment of the present invention is described in detail.

Should be clear and definite, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making other embodiments all obtained under creative work prerequisite, belong to the scope of protection of the invention.

Fig. 1 is the method flow schematic diagram that the embodiment of the present invention obtains advertisement position quality.See Fig. 1, the method comprises:

Step 101, within the time period pre-set, obtains page browsing amount and the conversion ratio of each advertisement on each advertisement position in the same page;

In this step, the time period pre-set can be determined according to actual needs, such as, can be 5 days or 7 days or 10 days or 1 month etc.

As an embodiment, the page can be internet page, and can be also the application program page, the embodiment of the present invention be not construed as limiting this.

Different websites includes different internet pages, the advertisement position of the advertisement position of different web sites or the advertisement position of different internet page or the different application program pages does not have comparability, thus, in the embodiment of the present invention, carry out quality assessment for the advertisement position in the same page.

Include one or more advertisement position in each same page, the one or more advertisement positions comprised for internet page carry out advertisement position quality evaluation.

In the embodiment of the present invention, page browsing amount (PV, PageView) is advertisement position page browsing amount, is the different expression of same parameters with the displaying number of clicking rate and advertisement.The page browsing amount and the conversion ratio that obtain advertisement are known technology.

As an embodiment, after the page browsing amount obtaining each advertisement on each advertisement position in the same page and conversion ratio, the method can further include:

Filtering page browsing amount be less than the page browsing amount threshold value that pre-sets and/or, turn over number is less than page browsing amount corresponding to the advertisement of the turn over number threshold value pre-set and conversion ratio.

In this step, retain page browsing amount and be more than or equal to the page browsing amount threshold value that pre-sets and turn over number is more than or equal to page browsing amount corresponding to the advertisement of the turn over number threshold value pre-set and conversion ratio.If namely on a certain advertisement position, the page browsing amount of advertisement is less than the page browsing amount threshold value pre-set, delete page browsing amount and the conversion ratio of this advertisement, and, if the turn over number of advertisement is less than the turn over number threshold value pre-set on a certain advertisement position, delete page browsing amount and the conversion ratio of this advertisement, wherein, conversion ratio can measure according to turn over number and page browsing.

As an embodiment, page browsing amount threshold value can be set to 10000, and turn over number threshold value is set to 10.Then in above-mentioned example, only retain page browsing amount be more than or equal to 10000 and turn over number be more than or equal to 10 advertisement and page browsing amount corresponding to this advertisement and conversion ratio.

Step 102, in units of the advertisement position in the described same page, obtains in advertisement position and has the total advertisement of same advertisement with the benchmark advertisement position pre-set, add up the page browsing amount of described total advertisement and value;

In this step, for each advertisement position in the same page, add up in this advertisement position there is with the benchmark advertisement position that pre-sets the page browsing amount of all advertisements of same advertisement and value.

In the embodiment of the present invention, benchmark advertisement position can be one, also can be the synthesis advertisement position of the advertisement position that multiple effect is close, the page browsing amount of the advertisement in synthesis advertisement position is the page browsing amount sum of same advertisement in each advertisement position, the page browsing amount of synthesis advertisement position is the page browsing amount sum of each advertisement position, turn over number is the turn over number sum of each advertisement position, and the synthesis turn over number of advertisement position and the business of page browsing amount are conversion ratio.As an embodiment, in the advertisement that advertisement position is shown, inferior quality advertisement and high-quality advertisement skewness weighing apparatus, select one or more PV enough large, and transformation in planta rate is in the advertisement position of medium level as benchmark advertisement position, the quality factor of benchmark advertisement position is all configured to 1, and therefore between multiple benchmark advertisement position, conversion ratio difference is less.

As an embodiment, obtain in advertisement position, with the benchmark advertisement position pre-set, there is the total advertisement of same advertisement, add up comprising with value of the page browsing amount of described total advertisement:

A01, extracts each advertisement that described benchmark advertisement position is thrown in;

A02, travels through the advertisement that in the same page, the first advertisement position is thrown in, obtains the total advertisement identical with the advertisement that described benchmark advertisement position is thrown in;

In this step, if carried out filtering (filtering process) to advertisement, then travel through the advertisement processed after filtration in the advertisement of the first advertisement position input.

A03, cumulative described total advertisement in the page browsing amount of described first advertisement position, obtain the page browsing amount of described first advertisement position and value.

In this step, as an embodiment, the page browsing amount of benchmark advertisement position within the time period pre-set is greater than the page browsing amount baseline threshold pre-set, and the average conversion of each advertisement is greater than conversion ratio first baseline threshold that pre-sets and is less than conversion ratio second baseline threshold.

In practical application, as an embodiment, can arrange page browsing amount baseline threshold and be greater than page browsing amount threshold value, conversion ratio first baseline threshold can be set to 10, and conversion ratio second baseline threshold can be set to 12 or 15 etc.

In the embodiment of the present invention, in the together page, if benchmark advertisement position has thrown in 20 advertisements, Current ad position, namely advertisement position to be assessed has thrown in 15 advertisements, wherein, in 15 advertisements that Current ad position is thrown in, have 5 advertisements identical with the advertisement that benchmark advertisement position is thrown in, then add up the page browsing amount sum of 5, Current ad position advertisement (total advertisement), as this current advertisement position page browsing amount and value.

As an embodiment, benchmark advertisement position is the advertisement position chosen in the corresponding same page, the corresponding benchmark advertisement position of each internet page.

Step 103, ranks the first described benchmark advertisement position, then sorting to advertisement position with value according to statistics, generates queue;

In this step, the corresponding queue of each internet page, benchmark advertisement position comes the first place of queue.To advertisement for sorting, can be sorting to advertisement position to little order from large with value according to statistics, generate queue, also can be according to sorting to advertisement position from little to large order with value of adding up, generate queue, the embodiment of the present invention does not limit this.

Step 104, utilizes page browsing amount and the conversion ratio of each advertisement position before the Current ad position in described queue except benchmark advertisement position, calculates the relative mass degree of Current ad position described in described queue, obtain advertisement position quality.

In this step, in queue is benchmark advertisement position to head, without the need to calculating, calculate from the advertisement position of the 2nd in queue, in the embodiment of the present invention, the relative mass degree of advertisement position is the quality of each advertisement position before relative Current ad position, and the relative mass degree of advertisement position is the advertisement position quality of the embodiment of the present invention.

As an embodiment, with queue carrying out sequence to little order to advertisement position with value be generated as example from large according to statistics, Fig. 2 is page browsing amount and the conversion ratio of each advertisement position before the embodiment of the present invention utilizes in described queue except benchmark advertisement position Current ad position, calculates the schematic flow sheet of the relative mass degree of Current ad position described in described queue.See Fig. 2, this flow process comprises:

Step 21, based on ranking in described queue be 1 advertisement position and ranking be the advertisement position of h, calculate advertisement position that described ranking is h and ranking be 1 advertisement position there is the weight of each advertisement in the first quantity advertisement of same advertisement, h is natural number and is constant;

In this step, ranking is the advertisement position of h is Current ad position.

Utilize following formula to calculate advertisement position that described ranking is h and ranking be 1 advertisement position there is the weight of each advertisement in the first quantity advertisement of same advertisement:

${\mathrm{\ξ}}_{h1j}=\frac{{\mathrm{pv}}_{h1j}}{\mathrm{pv}\_\mathrm{overla}{p}_{h1}}x\frac{{\mathrm{icvr}}_{h1j}}{\mathrm{icvr}\_\mathrm{bas}{e}_{h1j}}$

In formula,

ξ _h1jfor ranking in queue is in the advertisement position of h, the weight of the jth advertisement in the first quantity advertisement of the same advertisement that the advertisement position being 1 with ranking has, j is natural number;

Pv _h1ifor ranking in queue is in the advertisement position of h, the page browsing amount of the jth advertisement in the first quantity advertisement of the same advertisement that the advertisement position being 1 with ranking has;

Pv_overlap _h1for ranking in queue is in the advertisement position of h, the advertisement position being 1 with ranking has the page browsing amount of all advertisements in the first quantity advertisement of same advertisement;

Icvr _h1jfor ranking in queue is in the advertisement position of h, the conversion ratio of the jth advertisement in the first quantity advertisement of the same advertisement that the advertisement position being 1 with ranking has;

Icvr_base _h1jfor ranking in queue is in the advertisement position of h, the jth advertisement in the first quantity advertisement of the same advertisement that the advertisement position being 1 with ranking has is at the conversion ratio of benchmark advertisement position.

Wherein,

J≤k, k are the advertisement number that the first quantity advertisement packets contains.

In the embodiment of the present invention, the first quantity advertisement is ranking is in the advertisement position of h, is the same advertisement set had in the advertisement position of i with ranking.

Step 22, the described ranking that accumulation calculating obtains to be the advertisement position of h and ranking be 1 advertisement position there is the weight of each advertisement in the first quantity advertisement of same advertisement, obtaining described ranking is that the first-phase confrontation of the advertisement position of h is measured;

In this step, the first-phase confrontation utilizing following formula to calculate the advertisement position that described ranking is h is measured:

${\mathrm{\ξ}}_{h1}=\underset{j=1}{\overset{k}{\mathrm{\Σ}}}{\mathrm{\ξ}}_{h1j}$

In formula, ξ _h1the first-phase confrontation being the advertisement position of h for ranking is measured.

Step 23, judges whether h equals 2, if so, performs step 24, if not, perform step 25;

Described ranking is that the first-phase of the advertisement position of h confronts the relative mass degree measured as described Current ad position by step 24;

Step 25, the value of traversal i, to extract ranking be respectively the advertisement position of h and ranking is the i-th quantity advertisement that the advertisement position of i has same advertisement, and i is less than h;

In this step, the value of traversal i traverses i to the value of variable i from 1, i.e. given another variable t=1,2 ..., i.

When i equals 2, to extract ranking be respectively the advertisement position of h and ranking be 1 advertisement position there is the first quantity advertisement of same advertisement, and, ranking to be the advertisement position of h and ranking be 2 advertisement position there is the second quantity advertisement of same advertisement, wherein, ranking is the advertisement position of 1 is benchmark advertisement position.Namely t is respectively 1 and 2, and the i-th quantity advertisement comprises: the first quantity advertisement and the second quantity advertisement.

When i equals 3, to extract ranking be respectively the advertisement position of h and ranking be 1 advertisement position there is the first quantity advertisement of same advertisement, ranking to be the advertisement position of h and ranking be 2 advertisement position there is the second quantity advertisement of same advertisement, and, ranking to be the advertisement position of h and ranking be 3 advertisement position there is the second quantity advertisement of same advertisement.So analogize, the advertisement position of ranking to be the advertisement position of h and ranking be i can have the i-th quantity advertisement of same advertisement.

In the embodiment of the present invention, the advertisement of t quantity comprises: the first quantity advertisement to the i-th quantity advertisement.

Step 26, from described i-th quantity advertisement, the advertisement that filtering occurs in described first quantity advertisement to (i-1) quantity advertisement, obtains the i-th same advertisement;

In this step, suppose that i equals 3, the 1st same advertisement is the first quantity advertisement, and in the second quantity advertisement, the advertisement that filtering occurs in the first quantity advertisement, obtains the 2nd same advertisement; And in the second quantity advertisement, the advertisement that filtering occurs in the first quantity advertisement and the second quantity advertisement, obtains the 3rd same advertisement.

Step 27, calculates the weight that advertisement position that described ranking is h and ranking are each advertisement of advertisement position in described i-th same advertisement of i;

In this step, the weight of utilize following formula to calculate advertisement position that described ranking is h and each advertisement of advertisement position in described i-th same advertisement that ranking is i:

${\mathrm{\ξ}}_{\mathrm{hip}}=\frac{{\mathrm{pv}}_{\mathrm{hip}}}{\mathrm{pv}\_\mathrm{overla}{p}_{\mathrm{hi}}}x\frac{{\mathrm{icvr}}_{\mathrm{hip}}}{i{\mathrm{cvr}\_\mathrm{base}}_{\mathrm{hip}}}$

In formula,

ξ _hipfor ranking in queue is in the advertisement position of h, with ranking be the advertisement position of i in described i-th same advertisement in the weight of p advertisement, p is natural number, and p≤P, P are the number of advertisement in the i-th same advertisement;

Pv _hijfor ranking in queue is in the advertisement position of h, be the page browsing amount of jth the advertisement of advertisement position in described i-th same advertisement of i with ranking;

Pv_overlap _hifor ranking in queue is in the advertisement position of h, be the page browsing amount of all advertisements of advertisement position in described i-th same advertisement of i with ranking;

Icvr _hijfor ranking in queue is in the advertisement position of h, with ranking be the advertisement position of i in described i-th same advertisement in the conversion ratio of a jth advertisement;

Icvrbase _hijfor ranking in queue is in the advertisement position of h, with ranking be the advertisement position of i in described i-th same advertisement in a jth advertisement at the conversion ratio of benchmark advertisement position.

Step 28, the weight of the described ranking that accumulation calculating obtains to be the advertisement position of h and ranking the be each advertisement of advertisement position in described i-th same advertisement of i, obtains the i-th relative mass degree that described ranking is the advertisement position of h;

In this step, following formula is utilized to calculate the i-th relative mass degree of the advertisement position that described ranking is h:

${\mathrm{\ξ}}_{\mathrm{hi}}=\underset{p=1}{\overset{P}{\mathrm{\Σ}}}{\mathrm{\ξ}}_{\mathrm{hip}}$

In formula, ξ _hifor the i-th relative mass degree that ranking is the advertisement position of h.

Step 29, measures to the i-th relative mass degree and respective page pageview according to first-phase confrontation, obtains the relative mass degree that described ranking is the advertisement position of h.

In this step, following formula is utilized to calculate the relative mass degree of the advertisement position that described ranking is h:

$\underset{i=1}{\overset{h-1}{\mathrm{\Σ}}}\left(\frac{{\mathrm{pv}\_\mathrm{overlap}}_{\mathrm{hi}}}{\underset{r=1}{\overset{h-1}{\mathrm{\Σ}}}{\mathrm{pv}\_\mathrm{overlap}}_{\mathrm{hr}}}x{\mathrm{\ξ}}_{\mathrm{hi}}\right).$

Below lift three specific embodiments, the embodiment of the present invention is described in further detail.

Embodiment one

In queue, the ranking of Current ad position is 2, and utilize page browsing amount and the conversion ratio of each advertisement position before the Current ad position in described queue except benchmark advertisement position, the relative mass degree calculating Current ad position described in described queue comprises:

A11 is the advertisement position of 2 based on benchmark advertisement position and ranking, calculate described ranking be 2 advertisement position and ranking be 1 benchmark advertisement position there is the weight of each advertisement of same advertisement;

In this step, utilize following formula calculate described ranking be 2 advertisement position and ranking be 1 benchmark advertisement position there is the weight of each advertisement of same advertisement:

${\mathrm{\ξ}}_{21j}=\frac{{\mathrm{pv}}_{21j}}{\mathrm{pv}\_\mathrm{overla}{p}_{21}}x\frac{{\mathrm{icvr}}_{21j}}{\mathrm{icvr}\_\mathrm{bas}{e}_{21j}}$

In formula,

ξ _21jfor ranking in queue is in the advertisement position of 2, the weight of the jth advertisement in the same advertisement that the benchmark advertisement position being 1 with ranking has, j is natural number;

Pv _21jfor ranking in queue is in the advertisement position of 2, the page browsing amount of the jth advertisement in the same advertisement that the benchmark advertisement position being 1 with ranking has;

Pv_overlap ₂₁for ranking in queue is in the advertisement position of 2, the benchmark advertisement position being 1 with ranking has the page browsing amount of all advertisements of same advertisement;

Icvr _21jfor ranking in queue is in the advertisement position of 2, the conversion ratio of the jth advertisement in the same advertisement that the benchmark advertisement position being 1 with ranking has;

Icvr_base _21jfor ranking in queue is in the advertisement position of 2, the jth advertisement in the same advertisement that the benchmark advertisement position being 1 with ranking has is at the conversion ratio of benchmark advertisement position.

Wherein,

j≤k

In formula, k be in queue ranking be 2 advertisement position and ranking be 1 benchmark advertisement position there is the advertisement number of same advertisement.

A12, the described ranking that accumulation calculating obtains be 2 advertisement position and ranking be 1 benchmark advertisement position there is the weight of each advertisement of same advertisement, obtain the relative mass degree that described ranking is the advertisement position of 2.

In this step, utilize following formula to calculate relative mass degree that described ranking is the advertisement position of 2:

${\mathrm{\ξ}}_{21}=\underset{j=1}{\overset{k}{\mathrm{\Σ}}}{\mathrm{\ξ}}_{h2j}$

In formula, ξ ₂₁for the relative mass degree that ranking is the advertisement position of 2.

In the embodiment of the present invention, such as, benchmark advertisement position throws in 20 advertisements altogether, 15 advertisements are thrown in Current ad position (ranking is the advertisement position of 2), wherein have 10 advertisements also to throw at benchmark advertisement position, then calculate the weight of 10 common advertisements respectively, then, the weight of 10 advertisements is added up, obtains the relative mass degree of Current ad position (ranking is the advertisement position of 2), i.e. the quality degree of relative datum advertisement position.

Embodiment two

In queue, the ranking of Current ad position is 3, and utilize page browsing amount and the conversion ratio of each advertisement position before the Current ad position in described queue except benchmark advertisement position, the relative mass degree calculating Current ad position described in described queue comprises:

A21, based on ranking be 1 benchmark advertisement position and ranking be the advertisement position of 3, calculate described ranking be 3 advertisement position and ranking be 1 benchmark advertisement position there is the weight of each advertisement of same advertisement;

In this step, ranking be 3 advertisement position and ranking be 1 benchmark advertisement position has same advertisement is the first quantity advertisement, utilize following formula calculate described ranking be 3 advertisement position and benchmark advertisement position there is the weight of each advertisement of same advertisement:

${\mathrm{\ξ}}_{31j}=\frac{{\mathrm{pv}}_{31j}}{\mathrm{pv}\_\mathrm{overla}{p}_{31}}x\frac{{\mathrm{icvr}}_{31j}}{\mathrm{icvr}\_\mathrm{bas}{e}_{31j}}$

A22, the described ranking that accumulation calculating obtains be 3 advertisement position and ranking be 1 benchmark advertisement position there is the weight of each advertisement of same advertisement, obtaining described ranking is that the first-phase confrontation of the advertisement position of 3 is measured;

In this step, utilize following formula calculate described ranking be the advertisement position of 3 first-phase confrontation measure:

${\mathrm{\ξ}}_{31}=\underset{j=1}{\overset{k}{\mathrm{\Σ}}}{\mathrm{\ξ}}_{31j}$

In formula, ξ ₃₁the first-phase confrontation being the advertisement position of 3 for ranking is measured.

A23, extract ranking be 3 advertisement position and ranking be 1 benchmark advertisement position there is the first quantity advertisement of same advertisement, and, extraction ranking be 3 advertisement position and ranking be 2 advertisement position there is the second quantity advertisement of same advertisement;

A24, from described second quantity advertisement, the advertisement that filtering occurs in described first quantity advertisement, obtains the 2nd same advertisement;

A25, calculate described ranking be 3 advertisement position and ranking be the weight of each advertisement of advertisement position in the 2nd same advertisement of 2;

In this step, utilize following formula calculate described ranking be 3 advertisement position and ranking be the weight of each advertisement of advertisement position in the 2nd same advertisement of 2:

${\mathrm{\ξ}}_{322p}=\frac{{\mathrm{pv}}_{322p}}{\mathrm{pv}\_\mathrm{overla}{p}_{322}}x\frac{{\mathrm{icvr}}_{322p}}{\mathrm{icvr}\_\mathrm{bas}{e}_{322}}$

In formula,

ξ _322pfor ranking in queue is in the advertisement position of 3, be the weight of p the advertisement of advertisement position in the 2nd same advertisement of 2 with ranking, p is natural number, and p≤P, P are the number of the second same advertisement.

A26, the described ranking that accumulation calculating obtains be 3 advertisement position and ranking be the weight of each advertisement of advertisement position in the 2nd same advertisement of 2, obtaining described ranking is that the second-phase confrontation of the advertisement position of 3 is measured;

In this step, utilize following formula calculate described ranking be the advertisement position of 3 second-phase confrontation measure:

${\mathrm{\ξ}}_{32}=\underset{P=1}{\overset{P}{\mathrm{\Σ}}}{\mathrm{\ξ}}_{322P}$

In formula, ξ ₃₂the second-phase confrontation being the advertisement position of 3 for ranking is measured.

A27, the confrontation of foundation first-phase is measured, second-phase confrontation is measured and respective page pageview, obtains the relative mass degree that described ranking is the advertisement position of N.

In this step, utilize following formula to calculate relative mass degree that described ranking is the advertisement position of 3:

$\underset{i=1}{\overset{2}{\mathrm{\Σ}}}\left(\frac{{\mathrm{pv}\_\mathrm{overlap}}_{3i}}{\underset{r=1}{\overset{2}{\mathrm{\Σ}}}{\mathrm{pv}\_\mathrm{overlap}}_{3i}}x{\mathrm{\ξ}}_{3i}\right).$

Embodiment three

When in queue, the ranking of Current ad position is 4, utilize page browsing amount and the conversion ratio of each advertisement position before the Current ad position in described queue except benchmark advertisement position, the relative mass degree calculating Current ad position described in described queue comprises:

A31, based on ranking be 1 benchmark advertisement position and ranking be the advertisement position of 4, calculate described ranking be 4 advertisement position and ranking be 1 benchmark advertisement position there is the weight of each advertisement in the first quantity advertisement of same advertisement;

In this step, utilize following formula calculate described ranking be 4 advertisement position and benchmark advertisement position there is the weight of each advertisement in the first quantity advertisement of same advertisement:

${\mathrm{\ξ}}_{41j}=\frac{{\mathrm{pv}}_{41j}}{\mathrm{pv}\_\mathrm{overla}{p}_{41}}x\frac{{\mathrm{icvr}}_{41j}}{\mathrm{icvr}\_\mathrm{bas}{e}_{41j}}$

A32, the described ranking that accumulation calculating obtains be 4 advertisement position and ranking be 1 benchmark advertisement position there is the weight of each advertisement in the first quantity advertisement of same advertisement, obtaining described ranking is that the first-phase confrontation of the advertisement position of 4 is measured;

In this step, utilize following formula calculate described ranking be the advertisement position of 4 first-phase confrontation measure:

${\mathrm{\ξ}}_{41}=\underset{j=1}{\overset{k}{\mathrm{\Σ}}}{\mathrm{\ξ}}_{41j}$

In formula, ξ ₄₁the first-phase confrontation being the advertisement position of 4 for ranking is measured.

A33, extract ranking be 4 advertisement position and ranking be 1 benchmark advertisement position there is the first quantity advertisement of same advertisement, extract ranking be 4 advertisement position and ranking be 2 advertisement position there is the second quantity advertisement of same advertisement, and, extract ranking be 4 advertisement position and ranking be 3 advertisement position there is the 3rd quantity advertisement of same advertisement;

A34, from described second quantity advertisement, the advertisement that filtering occurs in described first quantity advertisement, obtain the 2nd same advertisement, from described 3rd quantity advertisement, the advertisement that filtering occurs in described first quantity advertisement and the second quantity advertisement, obtains the 3rd same advertisement;

A35, calculate respectively described ranking be 4 advertisement position and ranking be the weight of each advertisement of advertisement position in the 2nd same advertisement of 2, calculate described ranking be 4 advertisement position and ranking be the weight of each advertisement of advertisement position in the 3rd same advertisement of 3;

In this step, utilize following formula calculate described ranking be 4 advertisement position and ranking be the weight of each advertisement of advertisement position in the 3rd same advertisement of 3:

${\mathrm{\ξ}}_{433m}=\frac{{\mathrm{pv}}_{433m}}{\mathrm{pv}\_\mathrm{overla}{p}_{433}}x\frac{{\mathrm{icvr}}_{433m}}{\mathrm{icvr}\_\mathrm{bas}{e}_{433}}$

In formula,

ξ _433mfor ranking in queue is in the advertisement position of 4, be the weight of m the advertisement of advertisement position in the 3rd same advertisement of 3 with ranking, m is natural number, and m≤M, M are the number of third phase with advertisement.

A36, the described ranking that accumulation calculating obtains be 4 advertisement position and ranking be the weight of each advertisement of advertisement position in the 2nd same advertisement of 2, obtain described ranking be the advertisement position of 4 second-phase confrontation measure, the described ranking that accumulation calculating obtains be 4 advertisement position and ranking be the weight of each advertisement of advertisement position in the 3rd same advertisement of 3, obtaining described ranking is that the third phase confrontation of the advertisement position of 4 is measured;

In this step, utilize following formula calculate described ranking be the advertisement position of 4 third phase confrontation measure:

${\mathrm{\ξ}}_{43}=\underset{m=1}{\overset{M}{\mathrm{\Σ}}}{\mathrm{\ξ}}_{433m}$

In formula, ξ ₄₃the third phase confrontation being the advertisement position of 4 for ranking is measured.

A37, measures according to first-phase confrontation, second-phase confrontation is measured, third phase confrontation is measured and respective page pageview, obtains the relative mass degree that described ranking is the advertisement position of 4.

In this step, utilize following formula to calculate relative mass degree that described ranking is the advertisement position of 4:

$\underset{i=1}{\overset{3}{\mathrm{\Σ}}}\left(\frac{{\mathrm{pv}\_\mathrm{overlap}}_{4i}}{\underset{r=1}{\overset{3}{\mathrm{\Σ}}}{\mathrm{pv}\_\mathrm{overlap}}_{4r}}x{\mathrm{\ξ}}_{4i}\right).$

From above-mentioned, the method for the acquisition advertisement position quality of the embodiment of the present invention, within the time period pre-set, obtains page browsing amount and the conversion ratio of each advertisement on each advertisement position in the same page; In units of advertisement position in the described same page, obtain in advertisement position, with the benchmark advertisement position pre-set, there is the total advertisement of same advertisement, add up the page browsing amount of described total advertisement and value; Described benchmark advertisement position is ranked the first, then advertisement position is sorted with value according to statistics, generate queue; Utilize page browsing amount and the conversion ratio of each advertisement position before the Current ad position in described queue except benchmark advertisement position, calculate the relative mass degree of Current ad position described in described queue, obtain advertisement position quality.Like this, to be gone forward side by side line ordering by the total advertisement of extracting in advertisement position and benchmark advertisement position, utilize Current ad position and each advertisement position arranged before advertisement position in this prior, the advertisement position quality of weighted calculation Current ad position, effectively can eliminate the impact of advertisement distribution in advertisement position, improve the accuracy of the advertisement position quality of acquisition, advertisement position quality can be calculated exactly.Based on the showing advertisement number of times of the advertisement position quality characterization of weighted calculation, more truly can reflect effective displaying number of times of advertisement, thus, have very important effect for the control of the showing advertisement frequency, ad placement quality control etc.

Fig. 3 is the apparatus structure schematic diagram that the embodiment of the present invention obtains advertisement position quality.See Fig. 3, this device comprises: advertisement parameters acquisition module 301, total advertistics module 302, order module 303 and advertisement position Quality Calculation Module 304, wherein,

Advertisement parameters acquisition module 301, within the time period pre-set, obtains page browsing amount and the conversion ratio of each advertisement on each advertisement position in the same page;

As an embodiment, the page can be internet page, and can be also the application program page, the embodiment of the present invention be not construed as limiting this.

In the embodiment of the present invention, include one or more advertisement position in each same page, the one or more advertisement positions comprised for internet page carry out advertisement position quality evaluation.

Total advertistics module 302, in units of the advertisement position in the described same page, obtains in advertisement position and has the total advertisement of same advertisement with the benchmark advertisement position pre-set, add up the page browsing amount of described total advertisement and value;

In the embodiment of the present invention in the embodiment of the present invention, benchmark advertisement position can be one, also can be the synthesis advertisement position of the advertisement position that multiple effect is close, the page browsing amount of the advertisement in synthesis advertisement position is the page browsing amount sum of same advertisement in each advertisement position, the page browsing amount of synthesis advertisement position is the page browsing amount sum of each advertisement position, turn over number is the turn over number sum of each advertisement position, the synthesis turn over number of advertisement position and the business of page browsing amount are conversion ratio, between multiple benchmark advertisement position, conversion ratio difference is less.

Order module 303, for described benchmark advertisement position is ranked the first, then advertisement position is sorted with value according to statistics, generate queue;

In the embodiment of the present invention, to advertisement for sorting, can be advertisement position is sorted from large to little order with value according to statistics, generate queue, also can be advertisement position is sorted from little to large order with value according to statistics, generate queue, the embodiment of the present invention does not limit this.

Advertisement position Quality Calculation Module 304, for utilizing page browsing amount and the conversion ratio of each advertisement position before the Current ad position in described queue except benchmark advertisement position, calculate the relative mass degree of Current ad position described in described queue, obtain advertisement position quality.

In the embodiment of the present invention, as an embodiment, this device can further include:

Advertisement parameters filtering module (not shown), for filtering page browsing amount be less than the page browsing amount threshold value that pre-sets and/or, turn over number is less than page browsing amount corresponding to the advertisement of the turn over number threshold value pre-set and conversion ratio.

As an embodiment, total advertistics module 302 comprises: extraction unit, Traversal Unit and summing elements (not shown), wherein,

Extraction unit, for extracting each advertisement that described benchmark advertisement position is thrown in;

Traversal Unit, for traveling through the advertisement that in the same page, the first advertisement position is thrown in, obtains the total advertisement identical with the advertisement that described benchmark advertisement position is thrown in;

Summing elements, for the page browsing amount of cumulative described total advertisement at described first advertisement position, obtain the page browsing amount of described first advertisement position and value.

As an embodiment, to carry out sequence generation queue to little order to advertisement position from large with value according to what add up, Fig. 4 is the advertisement position Quality Calculation Module structural representation of the embodiment of the present invention.See Fig. 4, this advertisement position Quality Calculation Module comprises: the confrontation of the first weight calculation unit 41, first-phase is measured the confrontation of acquiring unit 42, judging unit 43, advertisement position quality acquiring unit 44, variable Traversal Unit 45, same advertisement filtering unit 46, second weight calculation unit 47 and second-phase and measured acquiring unit 48, wherein

First weight calculation unit, be the advertisement position of h for being advertisement position and the ranking of 1 based on ranking in described queue, calculate advertisement position that described ranking is h and ranking be 1 advertisement position there is the weight of each advertisement in the first quantity advertisement of same advertisement, h is natural number and is constant;

In the embodiment of the present invention, utilize following formula to calculate advertisement position that described ranking is h and ranking be 1 advertisement position there is the weight of each advertisement in the first quantity advertisement of same advertisement:

${\mathrm{\ξ}}_{h1j}=\frac{{\mathrm{pv}}_{h1j}}{\mathrm{pv}\_\mathrm{overla}{p}_{h1}}x\frac{{\mathrm{icvr}}_{h1j}}{\mathrm{icvr}\_\mathrm{bas}{e}_{h1j}}$

In formula,

ξ _h1jfor ranking in queue is in the advertisement position of h, the weight of the jth advertisement in the first quantity advertisement of the same advertisement that the advertisement position being 1 with ranking has, j is natural number;

Pv _h1jfor ranking in queue is in the advertisement position of h, the page browsing amount of the jth advertisement in the first quantity advertisement of the same advertisement that the advertisement position being 1 with ranking has;

Pv_overlap _h1for ranking in queue is in the advertisement position of h, the advertisement position being 1 with ranking has the page browsing amount of all advertisements in the first quantity advertisement of same advertisement;

Icvr _h1jfor ranking in queue is in the advertisement position of h, the conversion ratio of the jth advertisement in the first quantity advertisement of the same advertisement that the advertisement position being 1 with ranking has;

Icvr_base _h1jfor ranking in queue is in the advertisement position of h, the jth advertisement in the first quantity advertisement of the same advertisement that the advertisement position being 1 with ranking has is at the conversion ratio of benchmark advertisement position;

Wherein,

J≤k, k are the advertisement number that the first quantity advertisement packets contains.

Acquiring unit is measured in first-phase confrontation, the described ranking obtained for accumulation calculating to be the advertisement position of h and ranking be 1 advertisement position there is the weight of each advertisement in the first quantity advertisement of same advertisement, obtaining described ranking is that the first-phase confrontation of the advertisement position of h is measured;

In the embodiment of the present invention, as an embodiment, the first-phase confrontation utilizing following formula to calculate the advertisement position that described ranking is h is measured:

${\mathrm{\ξ}}_{h1}=\underset{j=1}{\overset{k}{\mathrm{\Σ}}}{\mathrm{\ξ}}_{h1j}$

In formula, ξ _h1the first-phase confrontation being the advertisement position of h for ranking is measured.

Judging unit, for judging whether h equals 2, if h equals 2, described ranking is that the first-phase of the advertisement position of h confronts the relative mass degree measured as described Current ad position by notice advertisement position quality acquiring unit; If h is greater than 2, notice variable Traversal Unit;

Variable Traversal Unit, for traveling through the value of i, to extract ranking be respectively the advertisement position of h and ranking is the i-th quantity advertisement that the advertisement position of i has same advertisement, and i is less than h;

Same advertisement filtering unit, for from described i-th quantity advertisement, the advertisement that filtering occurs in described first quantity advertisement to (i-1) quantity advertisement, obtains the i-th same advertisement;

Second weight calculation unit, for calculating the weight that advertisement position that described ranking is h and ranking are each advertisement of advertisement position in described i-th same advertisement of i;

In the embodiment of the present invention, the weight of utilize following formula to calculate advertisement position that described ranking is h and each advertisement of advertisement position in described i-th same advertisement that ranking is i:

${\mathrm{\ξ}}_{\mathrm{hip}}=\frac{{\mathrm{pv}}_{\mathrm{hip}}}{\mathrm{pv}\_\mathrm{overla}{p}_{\mathrm{hi}}}x\frac{{\mathrm{icvr}}_{\mathrm{hip}}}{i{\mathrm{cvr}\_\mathrm{base}}_{\mathrm{hip}}}$

In formula,

ξ _hipfor ranking in queue is in the advertisement position of h, with ranking be the advertisement position of i in described i-th same advertisement in the weight of p advertisement, p is natural number, and p≤P, P are the number of advertisement in the i-th same advertisement;

Pv _hijfor ranking in queue is in the advertisement position of h, be the page browsing amount of jth the advertisement of advertisement position in described i-th same advertisement of i with ranking;

Pv_overlap _hifor ranking in queue is in the advertisement position of h, be the page browsing amount of all advertisements of advertisement position in described i-th same advertisement of i with ranking;

Icvr _hijfor ranking in queue is in the advertisement position of h, with ranking be the advertisement position of i in described i-th same advertisement in the conversion ratio of a jth advertisement;

Icvr_base _hijfor ranking in queue is in the advertisement position of h, with ranking be the advertisement position of i in described i-th same advertisement in a jth advertisement at the conversion ratio of benchmark advertisement position.

Acquiring unit is measured in second-phase confrontation, and the weight of the described ranking obtained for accumulation calculating to be the advertisement position of h and ranking the be each advertisement of advertisement position in described i-th same advertisement of i, obtains the i-th relative mass degree that described ranking is the advertisement position of h;

Advertisement position quality acquiring unit, for measuring to the i-th relative mass degree and respective page pageview according to first-phase confrontation, obtains the relative mass degree that described ranking is the advertisement position of h.

In the embodiment of the present invention, following formula is utilized to calculate the relative mass degree of the advertisement position that described ranking is h:

$\underset{i=1}{\overset{h-1}{\mathrm{\Σ}}}\left(\frac{{\mathrm{pv}\_\mathrm{overlap}}_{\mathrm{hi}}}{\underset{r=1}{\overset{h-1}{\mathrm{\Σ}}}{\mathrm{pv}\_\mathrm{overlap}}_{\mathrm{hr}}}x{\mathrm{\ξ}}_{\mathrm{hi}}\right).$

The embodiment of the present invention also provides a kind of electronic equipment, and described electronic equipment comprises the device described in aforementioned any embodiment.

Fig. 5 is the structural representation of an electronic equipment of the present invention embodiment, the flow process of Fig. 1-4 illustrated embodiment of the present invention can be realized, as shown in Figure 5, above-mentioned electronic equipment can comprise: housing 51, processor 52, storer 53, circuit board 54 and power circuit 55, wherein, circuit board 54 is placed in the interior volume that housing 51 surrounds, and processor 52 and storer 53 are arranged on circuit board 54; Power circuit 55, for powering for each circuit of above-mentioned electronic equipment or device; Storer 53 is for stores executable programs code; Processor 52 runs the program corresponding with executable program code, for performing following steps by reading the executable program code stored in storer 53:

Within the time period pre-set, obtain page browsing amount and the conversion ratio of each advertisement on each advertisement position in the same page;

In units of advertisement position in the described same page, obtain in advertisement position, with the benchmark advertisement position pre-set, there is the total advertisement of same advertisement, add up the page browsing amount of described total advertisement and value;

Described benchmark advertisement position is ranked the first, then advertisement position is sorted with value according to statistics, generate queue;

Utilize page browsing amount and the conversion ratio of each advertisement position before the Current ad position in described queue except benchmark advertisement position, calculate the relative mass degree of Current ad position described in described queue, obtain advertisement position quality.

The step that the concrete implementation of processor 52 pairs of above-mentioned steps and processor 52 perform further by running executable program code, see the description of Fig. 1-4 illustrated embodiment of the present invention, can not repeat them here.

This electronic equipment exists in a variety of forms, includes but not limited to:

(1) mobile communication equipment: the feature of this kind equipment possesses mobile communication function, and to provide speech, data communication for main target.This Terminal Type comprises: smart mobile phone (such as iPhone), multimedia handset, functional mobile phone, and low-end mobile phone etc.

(2) super mobile personal computer equipment: this kind equipment belongs to the category of personal computer, has calculating and processing capacity, generally also possesses mobile Internet access characteristic.This Terminal Type comprises: PDA, MID and UMPC equipment etc., such as iPad.

(3) portable entertainment device: this kind equipment can show and play multimedia content.This kind equipment comprises: audio frequency, video player (such as iPod), handheld device, e-book, and intelligent toy and portable car-mounted navigator.

(4) server: the equipment that calculation services is provided, the formation of server comprises processor, hard disk, internal memory, system bus etc., server and general computer architecture similar, but owing to needing to provide highly reliable service, therefore require higher in processing power, stability, reliability, security, extensibility, manageability etc.

(5) other have the electronic installation of data interaction function.

One of ordinary skill in the art will appreciate that all or part of flow process realized in above-described embodiment method, that the hardware that can carry out instruction relevant by computer program has come, described program can be stored in a computer read/write memory medium, this program, when performing, can comprise the flow process of the embodiment as above-mentioned each side method.Wherein, described storage medium can be magnetic disc, CD, read-only store-memory body (Read-OnlyMemory, ROM) or random store-memory body (RandomAccessMemory, RAM) etc.

The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; the change that can expect easily or replacement, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of claim.

Claims (10)

1. obtain a method for advertisement position quality, it is characterized in that, the method comprises:

Within the time period pre-set, obtain page browsing amount and the conversion ratio of each advertisement on each advertisement position in the same page;

In units of advertisement position in the described same page, obtain in advertisement position, with the benchmark advertisement position pre-set, there is the total advertisement of same advertisement, add up the page browsing amount of described total advertisement and value;

Described benchmark advertisement position is ranked the first, then advertisement position is sorted with value according to statistics, generate queue;

Utilize page browsing amount and the conversion ratio of each advertisement position before the Current ad position in described queue except benchmark advertisement position, calculate the relative mass degree of Current ad position described in described queue, obtain advertisement position quality.

2. method according to claim 1, is characterized in that, after the page browsing amount of each advertisement on each advertisement position in the same page of described acquisition and conversion ratio, described method comprises further:

Filtering page browsing amount be less than the page browsing amount threshold value that pre-sets and/or, turn over number is less than page browsing amount corresponding to the advertisement of the turn over number threshold value pre-set and conversion ratio.

3. method according to claim 1, is characterized in that, has the total advertisement of same advertisement, add up comprising with value of the page browsing amount of described total advertisement in described acquisition advertisement position with the benchmark advertisement position pre-set:

Extract each advertisement that described benchmark advertisement position is thrown in;

Travel through the advertisement that in the same page, the first advertisement position is thrown in, obtain the total advertisement identical with the advertisement that described benchmark advertisement position is thrown in;

Cumulative described total advertisement in the page browsing amount of described first advertisement position, obtain the page browsing amount of described first advertisement position and value.

4. the method according to any one of claims 1 to 3, it is characterized in that, described queue advertisement position is sorted from large to little order with value according to statistics, the page browsing amount of each advertisement position before the described Current ad position utilized in described queue except benchmark advertisement position and conversion ratio, the relative mass degree calculating Current ad position described in described queue comprises:

Based on ranking in described queue be 1 advertisement position and ranking be the advertisement position of h, calculate advertisement position that described ranking is h and ranking be 1 advertisement position there is the weight of each advertisement in the first quantity advertisement of same advertisement, h is natural number and is constant;

The described ranking that accumulation calculating obtains to be the advertisement position of h and ranking be 1 advertisement position there is the weight of each advertisement in the first quantity advertisement of same advertisement, obtaining described ranking is that the first-phase confrontation of the advertisement position of h is measured;

If h equals 2, be that the first-phase of the advertisement position of h confronts the relative mass degree measured as described Current ad position by described ranking;

If h is greater than 2, the value of traversal i, to extract ranking be respectively the advertisement position of h and ranking is the i-th quantity advertisement that the advertisement position of i has same advertisement, and i is less than h;

From described i-th quantity advertisement, the advertisement that filtering occurs in described first quantity advertisement to (i-1) quantity advertisement, obtains the i-th same advertisement;

Calculate the weight that advertisement position that described ranking is h and ranking are each advertisement of advertisement position in described i-th same advertisement of i;

The weight of the described ranking that accumulation calculating obtains to be the advertisement position of h and ranking the be each advertisement of advertisement position in described i-th same advertisement of i, obtains the i-th relative mass degree that described ranking is the advertisement position of h;

Measure to the i-th relative mass degree and respective page pageview according to first-phase confrontation, obtain the relative mass degree that described ranking is the advertisement position of h.

5. method according to claim 4, is characterized in that, utilize following formula to calculate advertisement position that described ranking is h and ranking be 1 advertisement position there is the weight of each advertisement in the first quantity advertisement of same advertisement:

${\mathrm{\ξ}}_{h1j}=\frac{{\mathrm{pv}}_{h1j}}{pv\_{\mathrm{overlap}}_{h1}}x\frac{{\mathrm{icvr}}_{h1j}}{icvr\_{\mathrm{base}}_{h1j}}$

In formula,

ζ _h1jfor ranking in queue is in the advertisement position of h, the weight of the jth advertisement in the first quantity advertisement of the same advertisement that the advertisement position being 1 with ranking has, j is natural number;

Pv _h1jfor ranking in queue is in the advertisement position of h, the page browsing amount of the jth advertisement in the first quantity advertisement of the same advertisement that the advertisement position being 1 with ranking has;

Pv_overlap _h1for ranking in queue is in the advertisement position of h, the advertisement position being 1 with ranking has the page browsing amount of all advertisements in the first quantity advertisement of same advertisement;

Icvr _h1jfor ranking in queue is in the advertisement position of h, the conversion ratio of the jth advertisement in the first quantity advertisement of the same advertisement that the advertisement position being 1 with ranking has;

Icvr_base _h1jfor ranking in queue is in the advertisement position of h, the jth advertisement in the first quantity advertisement of the same advertisement that the advertisement position being 1 with ranking has is at the conversion ratio of benchmark advertisement position;

Wherein,

J≤k, k are the advertisement number that the first quantity advertisement packets contains.

6. method according to claim 5, is characterized in that, the first-phase confrontation utilizing following formula to calculate the advertisement position that described ranking is h is measured:

${\mathrm{\ξ}}_{h1}=\underset{j=1}{\overset{k}{\Σ}}{\mathrm{\ξ}}_{h1j}$

In formula, ζ _h1the first-phase confrontation being the advertisement position of h for ranking is measured.

7. method according to claim 6, is characterized in that, the weight of utilize following formula to calculate advertisement position that described ranking is h and each advertisement of advertisement position in described i-th same advertisement that ranking is i:

${\mathrm{\ξ}}_{hip}=\frac{{\mathrm{pv}}_{hip}}{pv\_{\mathrm{overlap}}_{hi}}x\frac{{\mathrm{icvr}}_{hip}}{icvr\_{\mathrm{base}}_{hip}}$

In formula,

ζ _hipfor ranking in queue is in the advertisement position of h, with ranking be the advertisement position of i in described i-th same advertisement in the weight of p advertisement, p is natural number, and p≤P, P are the number of advertisement in the i-th same advertisement;

Pv _hijfor ranking in queue is in the advertisement position of h, be the page browsing amount of jth the advertisement of advertisement position in described i-th same advertisement of i with ranking;

Pv_overlap _hifor ranking in queue is in the advertisement position of h, be the page browsing amount of all advertisements of advertisement position in described i-th same advertisement of i with ranking;

Icvr _hijfor ranking in queue is in the advertisement position of h, with ranking be the advertisement position of i in described i-th same advertisement in the conversion ratio of a jth advertisement;

Icvr_base _hijfor ranking in queue is in the advertisement position of h, with ranking be the advertisement position of i in described i-th same advertisement in a jth advertisement at the conversion ratio of benchmark advertisement position.

8. method according to claim 7, is characterized in that, utilizes following formula to calculate the relative mass degree of the advertisement position that described ranking is h:

$\underset{i=1}{\overset{h-1}{\Σ}}\left(\frac{pv\_{\mathrm{overlap}}_{hi}}{\underset{r=1}{\overset{h-1}{\Σ}}pv\_{\mathrm{overlap}}_{hr}}{\mathrm{x\ξ}}_{hi}\right).$

9. obtain a device for advertisement position quality, it is characterized in that, this device comprises: advertisement parameters acquisition module, total advertistics module, order module and advertisement position Quality Calculation Module, wherein,

Advertisement parameters acquisition module, within the time period pre-set, obtains page browsing amount and the conversion ratio of each advertisement on each advertisement position in the same page;

Total advertistics module, in units of the advertisement position in the described same page, obtains in advertisement position and has the total advertisement of same advertisement with the benchmark advertisement position pre-set, add up the page browsing amount of described total advertisement and value;

Order module, for described benchmark advertisement position is ranked the first, then advertisement position is sorted with value according to statistics, generate queue;

Advertisement position Quality Calculation Module, for utilizing page browsing amount and the conversion ratio of each advertisement position before the Current ad position in described queue except benchmark advertisement position, calculating the relative mass degree of Current ad position described in described queue, obtaining advertisement position quality.

10. device according to claim 9, is characterized in that, described device comprises further:

Advertisement parameters filtering module, for filtering page browsing amount be less than the page browsing amount threshold value that pre-sets and/or, turn over number is less than page browsing amount corresponding to the advertisement of the turn over number threshold value pre-set and conversion ratio.