CN103761584A - Method and system for carrying out information issue adjustment according to information resource hot spots - Google Patents

Method and system for carrying out information issue adjustment according to information resource hot spots Download PDF

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CN103761584A
CN103761584A CN201410011283.XA CN201410011283A CN103761584A CN 103761584 A CN103761584 A CN 103761584A CN 201410011283 A CN201410011283 A CN 201410011283A CN 103761584 A CN103761584 A CN 103761584A
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information
hot spot
focus
regional hot
resources
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CN103761584B (en
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章岑
江建博
朱凯泉
房晓宇
张缓迅
姚键
潘柏宇
卢述奇
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Alibaba Chengdu Software and Technology Co Ltd
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Unification Infotech (beijing) Co Ltd
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Abstract

The invention discloses a method and system for carrying out information issue adjustment according to information resource hot spots. The method includes the steps that data of quantity of demand of different information platforms for information resources are monitored and recorded, the data of quantity of demand of all the information platforms are quantized, and service demand factor information of all the information platforms is generated; publishing amount data of different types of information resources are acquired from issuing servers of the information resources, service demand factor information hot spots, corresponding to the information resources, of the information platforms are quantized, hot spot factor information of various types of information resources is generated, hot spot factors of the information resources are divided according to the areas to which the information platforms belong, and area hot spot factor information of the corresponding areas is generated; sampling fitting processing is performed, area hot spot reference data of the corresponding areas are obtained, and the issuing amount of the information resources on the information platforms in the areas is adjusted. The method and system solve the problem that because accurate quantized data are lacking in analysis and prediction of fluctuation characteristics of the information resources in different areas, the information issuing is difficult to adjust.

Description

According to information resources focus, carry out the method and system that information issue is adjusted
Technical field
The application relates to multimedia information management field, specifically, relates to a kind of method and system of carrying out information issue adjustment according to information resources focus.
Background technology
Fast development along with infotech, the mode of people's obtaining information changes: from modes such as traditional books, newspaper, broadcast, then become by television terminal and watch all kinds of TV programme and obtain abundant information resources (as: advertisement, news, video etc.) by the mode that terminal is accessed internet, information obtain the irreplaceable important steps in aspect such as becoming people's life, study, social activity and amusement and recreation.
Information resources focus, specifically refer to the demand of various information input in different platform, information resources focus has reflected the concerned degree of different information, also the degree of contention and the saturation degree that have indirectly reflected various information, for example: the advertisement (information) of take is example, advertisement is as open and widely to the publicity measures of public's transmission of information, be used in every field, due to TV, computing machine, the equipment such as mobile terminal have become the important channel of people's obtaining information, therefore, just become good advertisement putting window, the advertisement of different field is in internet, the platforms such as TV station are shown, can propagate rapidly and in large area, thereby reached the object that advertising provider " publicizes widely ", the advertisement that different advertising providers issues is (as: BTV) on a certain platform region, and BTV's audience ratings is higher, the focus of the advertising message of showing on its platform is also higher.
For advertising provider, need accurately to hold the advertising message resource stock of different regions and the supplydemand relationship between want advertisement---be the focus coefficient of different regions, advertising provider need to, according to the different situations of supplydemand relationship, distribute advertising message resource stock effectively; Improve and optimize the flow process that advertising resource is subscribed and advertising resource discharges, making whole process more accurately and robotization.
In prior art, lacking the various fluctuation characteristics that accurate quantized data sells advertising message analyzes, the simple experience conclusion of using faintly various perception, thereby cannot precisely understand and grasp the fluctuation characteristic of each regional advertising message resource, make follow-up advertising message subscribe and throw in to be all affected, and, lack the quantitative prediction for each regional advertising message resource supply and demand, will cause advertising message resource supplydemand relationship to distribute in various places extremely inhomogeneous.
In sum, the wave characteristic in different regions carries out analyses and prediction to information resources how to solve the accurate quantized data of shortage, is difficult to the issue to information and adjusts, and just becomes technical matters urgently to be resolved hurrily.
Summary of the invention
In view of this, the application's technical matters to be solved has been to provide a kind of method and system of carrying out information issue adjustment according to information resources focus, to solve the accurate quantized data of shortage, to information resources, the wave characteristic in different regions carries out analyses and prediction, is difficult to the problem that issue is adjusted to information.
In order to solve the problems of the technologies described above, the application discloses a kind of method of carrying out information issue adjustment according to information resources focus, it is characterized in that, comprising:
Monitor and record the demand data of different information platforms to described information resources, the described demand data of each information platform is carried out to quantification treatment, generate the service demand factor information of each information platform;
From the publisher server of described information resources, obtain the issue amount data of dissimilar described information resources, according to the service demand factor information of the issue amount data of described information resources and described information platform corresponding to this information resources, carry out focus quantification treatment, generate the focus coefficient information of all types of described information resources, and according to the focus coefficient of information resources described in the regional classification under described information platform, generate the regional hot spot coefficient information in corresponding area;
To the regional hot spot coefficient information in the described corresponding area process of fitting treatment of sampling, obtain the regional hot spot reference data of corresponding this area, according to described regional hot spot reference data, adjust described information resources in the issue amount of the described information platform of this area.
Preferably, to the regional hot spot coefficient information in the described corresponding area process of fitting treatment of sampling, obtain the regional hot spot reference data of corresponding this area, be further:
Linear sampling process of fitting treatment is carried out in the short-term fluctuation that the regional hot spot coefficient information in corresponding area is increased to state and described regional hot spot coefficient information according to preset time cycle condition, described regional hot spot coefficient information, obtains the regional hot spot reference data of corresponding this area.
Preferably, linear sampling process of fitting treatment is carried out in the short-term fluctuation that the regional hot spot coefficient information in corresponding area is increased to state and described regional hot spot coefficient information according to preset time cycle condition, described regional hot spot coefficient information, the regional hot spot reference data of obtaining corresponding this area, is further:
Regional hot spot coefficient information to corresponding area is year periodic condition according to the preset cycle, this area's focus coefficient information is carried out to linear sampling process of fitting treatment, generate the reference data data of this area's focus coefficient information, linear sampling process of fitting treatment is carried out in the short-term fluctuation that described regional hot spot coefficient information is increased to state and described regional hot spot coefficient information, generate respectively growth calibration data and the short-term fluctuation calibration data of described regional hot spot coefficient information, and according to the growth calibration data of described regional hot spot coefficient information and short-term fluctuation calibration data, described reference data data are calibrated, obtain the regional hot spot reference data of corresponding this area.
Preferably, described service demand factor information, is further:
The service demand factor information being formed by the ratio of the target requirement amount of information platform described in each and the dissimilar always issue amount of described information resources of its correspondence.
Preferably, described regional hot spot coefficient information, is further:
In the area under described information platform, focus coefficient information corresponding to all described information resources usingd the regional hot spot coefficient information that mean value formed of capacity as weighting.
In order to solve the problems of the technologies described above, disclosed herein as well is a kind of system of carrying out information issue adjustment according to information resources focus, couple mutually with information platform and publisher server, it is characterized in that, this system comprises: service demand factor unit, focus coefficient elements and issue adjustment unit, wherein
Described service demand factor unit, for monitoring and record the demand data of different described information platforms to described information resources, carries out quantification treatment to the described demand data of each information platform, generates the service demand factor information of each information platform;
Described focus coefficient elements, for obtain the issue amount data of dissimilar described information resources from the publisher server of described information resources, according to the service demand factor information of the issue amount data of described information resources and described information platform corresponding to this information resources, carry out focus quantification treatment, generate the focus coefficient information of all types of described information resources, and according to the focus coefficient of information resources described in the regional classification under described information platform, generate the regional hot spot coefficient information in corresponding area;
Described issue adjustment unit, for process of fitting treatment that the regional hot spot coefficient information in described corresponding area is sampled, obtain the regional hot spot reference data of corresponding this area, according to described regional hot spot reference data, adjust described information resources in the issue amount of the described information platform of this area.
Preferably, described issue adjustment unit, is further used for:
Linear sampling process of fitting treatment is carried out in the short-term fluctuation that the regional hot spot coefficient information in corresponding area is increased to state and described regional hot spot coefficient information according to preset time cycle condition, described regional hot spot coefficient information, obtains the regional hot spot reference data of corresponding this area.
Preferably, described issue adjustment unit, is further used for:
Regional hot spot coefficient information to corresponding area is year periodic condition according to the preset cycle, this area's focus coefficient information is carried out to linear sampling process of fitting treatment, generate the reference data data of this area's focus coefficient information, linear sampling process of fitting treatment is carried out in the short-term fluctuation that described regional hot spot coefficient information is increased to state and described regional hot spot coefficient information, generate respectively growth calibration data and the short-term fluctuation calibration data of described regional hot spot coefficient information, and according to the growth calibration data of described regional hot spot coefficient information and short-term fluctuation calibration data, described reference data data are calibrated, obtain the regional hot spot reference data of corresponding this area.
Preferably, described service demand factor information, is further:
The service demand factor information being formed by the ratio of the target requirement amount of information platform described in each and the dissimilar always issue amount of described information resources of its correspondence.
Preferably, described regional hot spot coefficient information, is further:
In the area under described information platform, focus coefficient information corresponding to all described information resources usingd the regional hot spot coefficient information that mean value formed of capacity as weighting.
Compared with prior art, a kind of described in the application carries out according to information resources focus the method and system that information issue is adjusted, and reached following effect:
1) the application adopts unified quantitative evaluation standard, according to historical assessment data, can draw the situation of each regional information resources focus of certain fixed time, and along with real supplydemand relationship is calibrated, with the issue to information resources, adjust, efficiently solve the accurate quantized data of shortage the wave characteristic of information resources is carried out to analyses and prediction, be difficult to the problem that issue is adjusted to information.
2) the application can quantize each regional information resources focus situation of accurate reflecting history, help information publisher is understood the variation of the information resources focus on the cycle in different regions and different time, thereby help information publisher is adjustment information resource publishing policy better, promote the utilization ratio of resource.
Certainly, arbitrary product of enforcement the application must not necessarily need to reach above-described all technique effects simultaneously.
 
Accompanying drawing explanation
Accompanying drawing described herein is used to provide further understanding of the present application, forms the application's a part, and the application's schematic description and description is used for explaining the application, does not form the improper restriction to the application.In the accompanying drawings:
Fig. 1 carries out the process flow diagram of the method that information issue adjusts according to information resources focus described in the embodiment of the present application one.
Fig. 2 carries out the process flow diagram of the method that information issue adjusts according to information resources focus described in the embodiment of the present application two.
Fig. 3 is the corresponding relation schematic diagram of information resources and described information platform described in the embodiment of the present application three.
Fig. 4 is the corresponding relation schematic diagram of information resources and described information platform described in the embodiment of the present application four.
Fig. 5 carries out the structured flowchart of the system that information issue adjusts according to information resources focus described in the embodiment of the present application five.
 
Embodiment
As used some vocabulary in the middle of instructions and claim, censure specific components.Those skilled in the art should understand, and hardware manufacturer may be called same assembly with different nouns.This specification and claims are not used as distinguishing the mode of assembly with the difference of title, but the difference in function is used as the criterion of distinguishing with assembly.If " comprising " mentioned in the middle of instructions and claim is in the whole text an open language, therefore should be construed to " comprise but be not limited to "." roughly " refer to that in receivable error range, those skilled in the art can solve the technical problem within the scope of certain error, reach described technique effect substantially.In addition, " couple " word and comprise directly any and electric property coupling means indirectly at this.Therefore, if describe a first device in literary composition, be coupled to one second device, represent that described first device can directly be electrically coupled to described the second device, or be indirectly electrically coupled to described the second device by other devices or the means that couple.Instructions subsequent descriptions is for implementing the application's better embodiment, and right described description is to illustrate that the application's rule is object, not in order to limit the application's scope.The application's protection domain is when being as the criterion depending on the claims person of defining.
Embodiment mono-
As shown in Figure 1, the method flow that carries out information issue adjustment according to information resources focus for described in the embodiment of the present application one, comprising:
Step 101, monitors and records the demand data of different information platforms to described information resources, and the described demand data of each information platform is carried out to quantification treatment, generates the service demand factor information of each information platform.
In step 101, different described information resources (as: advertisement, movie and television play, all kinds of TV programme, video etc.) can be issued displaying by different described information platforms (as: internet platform, each department TV station), certainly, described platform can be specifically the server (as: program server of the webserver, each TV station inside etc.) of corresponding platform in the present embodiment.Take each department TV station as example, and for the TV station of different regions, spectator attendance is different, and audience ratings has dividing of height; Even for same TV station, the audience ratings of its different channel is not identical yet.That is to say, in the high TV station of audience ratings (or channel), described information resources can be received and watch by more user, large to the demand of described information resources.
For described information resources, the information platform of different regions is all different to the type of described information resources and demand, for example: the channel for finance and economics of certain city TV station, the information resources of a large amount of finance and economics of demand (as: financial and economic news, each bank advertising, economic class video etc.), and the information resources of demand movie and television play type not; Wherein, the channel for finance and economics of this TV station for the size of the demand of finance and economic information resources is: each bank advertising of the economic class video of financial and economic news > >.Different described information platforms can monitor and record and obtain the demand data of described information resources from the database of this information platform, certainly, for the demand data of described information resources, can also adopt other modes to monitor and record, not as the restriction to the application.
In step 101, for described demand data, carry out quantification treatment, specifically can adopt the mode that defines a service demand factor for information platform described in each to carry out quantification treatment, this service demand factor is the ratio of the target requirement amount of this information platform and all kinds of different information resources quantity delivered summations of its correspondence, be used for indicating the degree of difficulty of its input, thereby, in step 101, just can generate the service demand factor information of each information platform.
Step 102, from the publisher server of described information resources, obtain the issue amount data of dissimilar described information resources, according to the service demand factor information of the issue amount data of described information resources and described information platform corresponding to this information resources, carry out focus quantification treatment, generate the focus coefficient information of all types of described information resources, and according to the focus coefficient of information resources described in regional classification, generate the regional hot spot coefficient information in corresponding area.
Different information resources providers in corresponding described publisher server, then is invested in described storage of information resources in different described information platforms and is shown described information resources by this publisher server.In step 102, specifically can from the information publishing log of described publisher server, obtain the issue amount data of dissimilar described information resources.
It should be noted that, because the information platform of different regions is all different to the type of described information resources and demand, so, for dissimilar described information resources, can be distributed to different described information platforms, the issue amount data of the information resources of the type are exactly this information resources issue total amount, and the described issue amount data that these information resources are published to a certain described information platform only account for a part of issuing total amount.So, in step 102, according to the service demand factor information of the issue amount data of described information resources and described information platform corresponding to this information resources, carry out focus quantification treatment, generate the focus coefficient information of all types of described information resources.
Wherein, the described focus coefficient information of described information resources, has reflected and the pouplarity of the described information resources of the type has represented that the described information resources of per unit are distributed to the ratio of described information platform.
In step 102, after described information resources all in areal are weighted and are processed, described regional hot spot coefficient information that just can Guo get this area.
Step 103, to the regional hot spot coefficient information in the described corresponding area process of fitting treatment of sampling, obtain the regional hot spot reference data of corresponding this area, according to described regional hot spot reference data, adjust described information resources in the issue amount of the described information platform of this area.
In the described information platform of areal, if the issue amount of described information resources excessive (namely the described regional hot spot coefficient information of this area is excessive), cause the competition degree between described information resources high, the state that forms " drug on the market ", is unfavorable for the abundant displaying of described information resources; If the issue amount of described information resources too low (namely the described regional hot spot coefficient information of this area is too low), causes the competition degree between described information resources low, form the state of " supply falls short of demand ", cause the waste of information platform.So, in step 103, to the regional hot spot coefficient information in the described corresponding area process of fitting treatment of sampling, guaranteeing that described regional hot spot coefficient information is stabilized within the scope of normal level, this normal level scope is exactly described regional hot spot reference data.
 
Embodiment bis-
As shown in Figure 2, the method flow that carries out information issue adjustment according to information resources focus for described in the embodiment of the present application two, comprising:
Step 201, monitors and records the demand data of different information platforms to described information resources, and the described demand data of each information platform is carried out to quantification treatment, generates the service demand factor information of each information platform.
In step 201, described service demand factor information, is specially: the service demand factor information consisting of the ratio of the target requirement amount of information platform described in each and the dissimilar always issue amount of described information resources of its correspondence.
It should be noted that, in step 201, can set up in advance the associated of different described information platforms and described information resources, particularly, can be by the resource inventory information under the information resources with various directed conditions and the different regions that obtain by corresponding daily record and directed condition, thereby, set up the associated of different described information platforms and described information resources, certainly, interrelational form can be the association of multi-to-multi, is not specifically limited here.
Step 202, from the publisher server of described information resources, obtain the issue amount data of dissimilar described information resources, according to the service demand factor information of the issue amount data of described information resources and described information platform corresponding to this information resources, carry out focus quantification treatment, generate the focus coefficient information of all types of described information resources, and according to the focus coefficient of information resources described in the regional classification under described information platform, generate the regional hot spot coefficient information in corresponding area.
In step 202, different information resources providers in corresponding described publisher server, then is invested in described storage of information resources in different described information platforms and is shown described information resources by this publisher server.In step 202, specifically can from the information publishing log of described publisher server, obtain the issue amount data of dissimilar described information resources.
Wherein, associated for the ease of clearly dissimilar described information resources and described information platform, can set up bipartite graph as shown in Figure 3, i.e. left side in Fig. 3, represent described information platform, the requirement of the area that comprises the required described information resources of this information platform, channel and demand; Right side in Fig. 3, represents the described information resources of storing in described publisher server, the area that comprises described information resources, channel and issue amount.Thereby, can obtain by bipartite graph as shown in Figure 3 the described regional hot spot coefficient information in each area.
Wherein, described regional hot spot coefficient information, is specially: in the area under described information platform, focus coefficient information corresponding to all described information resources usingd the regional hot spot coefficient information that mean value formed of capacity as weighting.
Step 203, linear sampling process of fitting treatment is carried out in the short-term fluctuation that the regional hot spot coefficient information in corresponding area is increased to state and described regional hot spot coefficient information according to preset time cycle condition, described regional hot spot coefficient information, obtain the regional hot spot reference data of corresponding this area, according to described regional hot spot reference data, adjust described information resources in the issue amount of the described information platform of this area.
For step 203, to the regional hot spot coefficient information in corresponding area according to preset time cycle condition, described regional hot spot coefficient information increases the short-term fluctuation of state and described regional hot spot coefficient information and carries out linear sampling process of fitting treatment, obtain the regional hot spot reference data of corresponding this area, be specially: the regional hot spot coefficient information to corresponding area is year periodic condition according to the preset cycle, this area's focus coefficient information is carried out to linear sampling process of fitting treatment, generate the reference data data of this area's focus coefficient information, linear sampling process of fitting treatment is carried out in the short-term fluctuation that described regional hot spot coefficient information is increased to state and described regional hot spot coefficient information, generate respectively growth calibration data and the short-term fluctuation calibration data of described regional hot spot coefficient information, and according to the growth calibration data of described regional hot spot coefficient information and short-term fluctuation calibration data, described reference data data are calibrated, obtain the regional hot spot reference data of corresponding this area.
 
Embodiment tri-
Below in conjunction with Fig. 3, described concrete application of issuing the method for adjusting according to the information resources focus information of carrying out is elaborated:
In the present embodiment, described information resources are specially advertising resource, described information platform is specially the different channel of different regions TV station, for the ease of representing, left side in Fig. 3 is represented to described information platform is referred to as Demand, right side in Fig. 3 is represented to the described information resources of storing in described publisher server are referred to as supply.Particularly:
Obtain the described regional hot spot coefficient information of each department:
For each Demand j, generate every service demand factor θ j, this service demand factor is the ratio of the target injected volume of Demand and all kinds of different advertising resource quantity delivered summations of its correspondence, is used for indicating the degree of difficulty of its input, that is,
θ j=demand j i ∈ Γ (j) supply i, wherein Γ j has represented the set of the advertising resource being associated with Demand j.
For example: in Fig. 3, the Demand of directed Beijing all-channel, the service demand factor θ of its input is:
500000/490000+350000+124000=0.5187, this service demand factor can be thought in all types of advertising resources, the advertising resource of each unit need to be distributed to the issue amount of Beijing all-channel, that is to say, service demand factor θ is 0.5187, represents that each issue amount at the described advertising resource of Beijing all-channel issue is 0.5187.
By that analogy, for each Demand, generate service demand factor.
Obtain after the service demand factor of Demand, generate the focus coefficient ω of each supply i, in order to weigh the degree of contention of described advertising resource, that is,
ω i=j ∈ Γ (i) θ j, wherein Γ (i) has represented all Demands associated with advertising resource Supply i.
For example: in Fig. 3, the Supply of Beijing mother and baby's channel, its focus coefficient ω is:
ω=θ 1+ θ 2=0.5187+0.1477=0.6664, this focus coefficient can be thought to be on average distributed in the situation of each Demand according to flow, the advertising resource of each unit by demand in this Supply, that is to say, focus coefficient ω is 0.6664, represent each resource of storing in the mother and baby's channel of Beijing, all scheduled 0.6664.
By that analogy, for each Supply Heat of Formation dot factor, the height of this focus coefficient, represents the welcome degree of every kind of Supply.
Afterwards, generate the regional hot spot coefficient r of each department r, the focus coefficient r of this area is that the focus coefficient of all Supply in this area is usingd capacity as the mean value of weighting, that is:
R=i ∈ Δ (r) supply i* ω i, i ∈ Δ (r) supply i, wherein Δ (r) has represented Supply all under regional r.
For regional hot spot coefficient r, as popular cities such as Beijing, Shanghai, its regional hot spot coefficient information r is greater than at 1 o'clock, represents that the advertising resource of this area is too much, constitutes competition too fierce; Regional hot spot coefficient information r is less than at 1 o'clock, has represented that the advertising resource of this area is less.
 
Obtain the described regional hot spot reference data of each department:
Regional hot spot coefficient information to corresponding area is year periodic condition according to the preset cycle, this area's focus coefficient information is carried out to linear sampling process of fitting treatment, generate the reference data data of this area's focus coefficient information, linear sampling process of fitting treatment is carried out in the short-term fluctuation that described regional hot spot coefficient information is increased to state and described regional hot spot coefficient information, generate respectively growth calibration data and the short-term fluctuation calibration data of described regional hot spot coefficient information, and according to the growth calibration data of described regional hot spot coefficient information and short-term fluctuation calibration data, described reference data data are calibrated, obtain the regional hot spot reference data of corresponding this area.
Particularly:
Reference data data can be set, and the basic trend of the focus coefficient of areal is along with the time is cyclical variation, period of change Yi Nianwei unit, for example: the focus coefficient during annual 11 all can be apparently higher than the focus coefficient in summer time;
Can increase calibration data, the focus coefficient that is areal can be along with the development of business, in some cycles, increasing degree keeps stable, and for example: certain advertising resource is 5 at the focus coefficient of the upper 1 year same period, and the focus coefficient of the same period in this year may increase by 10% because of the exhibition of business side;
Can short-term fluctuation calibration data, the focus coefficient that is areal can produce fluctuation because of the change of accident, for example: for certain advertising resource, strengthen advertising input, make focus coefficient can produce larger fluctuation, can think that this fluctuation can exert an influence in a short period of time.
 
Embodiment tetra-
Below in conjunction with Fig. 4, described concrete application of issuing the method for adjusting according to the information resources focus information of carrying out is elaborated:
Set: somewhere A, have corresponding some channels A1, A2 ..., AN}, and surely throw the some advertisement C1 under this area, C2 ..., CM, the channel of every advertisement fixing throwing may be not identical.For concise explanation, here N and M all get 3, after simplification, can obtain result as shown in Figure 5:
The focus coefficient calculations of so regional A is as follows:
Table 1 C1, C2, the service demand factor of C3
C1 C2 C3
150/200+300=0.3 250/100+300=0.625 200/200+300=0.4
Table 2 A1, A2, the focus coefficient of A3
A1 A2 A3
0.3 0.3+0.625=0.925 0.3+0.625+0.4=1.325
Calculate the focus coefficient of regional A
A=0.3*100+0.925*200+1.325*300100+200+300=1.02
The focus coefficient of old place district A is 1.02
Focus reference data for regional A:
The focus coefficient of supposing the object time section that need to predict this area is t, and the focus coefficient of target historical same period in period is 1'=0.97; Due to the development adjustment of advertising resource, make this area mid-term focus coefficient and the focus coefficient same period last year in mid-term be respectively 2=0.88,2'=0.80; Fluctuate because accident causes recent focus coefficient recently in this area, focus coefficient is 3=1.43, and the focus coefficient of this same period in period of last year is 3'=1.1.
The described reference data data of this area's focus coefficient information, growth calibration data and short-term fluctuation calibration data are respectively: w1=0.92, and w2=0.12, w3=0.05, so the regional hot spot reference data of this area is:
t=1*0.92+0.880.8*0.12+1.431.1*0.05*0.97=1.08。
 
Embodiment five
As shown in Figure 5, the system chart that carries out information issue adjustment according to information resources focus for described in the embodiment of the present application five, couples mutually with information platform and publisher server, and this system comprises: service demand factor unit 501, focus coefficient elements 502 and issue adjustment unit 503, wherein
Described service demand factor unit 501, couple mutually with described information platform and focus coefficient elements 502, for monitoring and record the demand data of different described information platforms to described information resources, described demand data to each information platform is carried out quantification treatment, generates the service demand factor information of each information platform.
Described focus coefficient elements 502, with described publisher server, service demand factor unit 501 and issue adjustment unit couple mutually, for obtain the issue amount data of dissimilar described information resources from the publisher server of described information resources, according to the service demand factor information of the issue amount data of described information resources and described information platform corresponding to this information resources, carry out focus quantification treatment, generate the focus coefficient information of all types of described information resources, and according to the focus coefficient of information resources described in the regional classification under described information platform, generate the regional hot spot coefficient information in corresponding area.
Described issue adjustment unit 503, couple mutually with described publisher server and focus coefficient elements 502, for process of fitting treatment that the regional hot spot coefficient information in described corresponding area is sampled, obtain the regional hot spot reference data of corresponding this area, according to described regional hot spot reference data, adjust described information resources in the issue amount of the described information platform of this area.
Wherein, described service demand factor information, is specially: the service demand factor information consisting of the ratio of the target requirement amount of information platform described in each and the dissimilar always issue amount of described information resources of its correspondence.Described regional hot spot coefficient information, is specially: in the area under described information platform, focus coefficient information corresponding to all described information resources usingd the regional hot spot coefficient information that mean value formed of capacity as weighting.
In the described information platform of areal, if the issue amount of described information resources excessive (namely the described regional hot spot coefficient information of this area is excessive), cause the competition degree between described information resources high, the state that forms " drug on the market ", is unfavorable for the abundant displaying of described information resources; If the issue amount of described information resources too low (namely the described regional hot spot coefficient information of this area is too low), causes the competition degree between described information resources low, form the state of " supply falls short of demand ", cause the waste of information platform.So issue adjustment unit 503, to the regional hot spot coefficient information in the described corresponding area process of fitting treatment of sampling, guarantees that described regional hot spot coefficient information is stabilized within the scope of normal level, this normal level scope is exactly described regional hot spot reference data.
It is described issue adjustment unit 503, specifically for: linear sampling process of fitting treatment is carried out in the short-term fluctuation that the regional hot spot coefficient information in corresponding area is increased to state and described regional hot spot coefficient information according to preset time cycle condition, described regional hot spot coefficient information, obtains the regional hot spot reference data of corresponding this area.
Particularly, the regional hot spot coefficient information in 503 pairs of corresponding areas of this issue adjustment unit is year periodic condition according to the preset cycle, this area's focus coefficient information is carried out to linear sampling process of fitting treatment, generate the reference data data of this area's focus coefficient information, linear sampling process of fitting treatment is carried out in the short-term fluctuation that described regional hot spot coefficient information is increased to state and described regional hot spot coefficient information, generate respectively growth calibration data and the short-term fluctuation calibration data of described regional hot spot coefficient information, and according to the growth calibration data of described regional hot spot coefficient information and short-term fluctuation calibration data, described reference data data are calibrated, obtain the regional hot spot reference data of corresponding this area.
 
Because method part have been described in detail the embodiment of the present application, here the expansion of the method and system corresponding part relating in embodiment is described and omitted, repeat no more.Description for particular content in system can, with reference to the content of described embodiment of the method, no longer specifically limit here.
 
Compared with prior art, a kind of described in the application carries out according to information resources focus the method and system that information issue is adjusted, and reached following effect:
1) the application adopts unified quantitative evaluation standard, according to historical assessment data, can draw the situation of each regional information resources focus of certain fixed time, and along with real supplydemand relationship is calibrated, with the issue to information resources, adjust, efficiently solve the accurate quantized data of shortage the wave characteristic of information resources is carried out to analyses and prediction, be difficult to the problem that issue is adjusted to information.
2) the application can quantize each regional information resources focus situation of accurate reflecting history, help information publisher is understood the variation of the information resources focus on the cycle in different regions and different time, thereby help information publisher is adjustment information resource publishing policy better, promote the utilization ratio of resource.
Those skilled in the art should understand, the application's embodiment can be provided as method, device or computer program.Therefore, the application can adopt complete hardware implementation example, implement software example or in conjunction with the form of the embodiment of software and hardware aspect completely.And the application can adopt the form that wherein includes the upper computer program of implementing of computer-usable storage medium (including but not limited to magnetic disk memory, CD-ROM, optical memory etc.) of computer usable program code one or more.
Above-mentioned explanation has illustrated and has described some preferred embodiments of the application, but as previously mentioned, be to be understood that the application is not limited to disclosed form herein, should not regard the eliminating to other embodiment as, and can be used for various other combinations, modification and environment, and can, in invention contemplated scope described herein, by technology or the knowledge of above-mentioned instruction or association area, change.And the spirit and scope that the change that those skilled in the art carry out and variation do not depart from the application, all should be in the protection domain of the application's claims.

Claims (10)

1. according to information resources focus, carry out the method that information issue is adjusted, it is characterized in that, comprising:
Monitor and record the demand data of different information platforms to described information resources, the described demand data of each information platform is carried out to quantification treatment, generate the service demand factor information of each information platform;
From the publisher server of described information resources, obtain the issue amount data of dissimilar described information resources, according to the service demand factor information of the issue amount data of described information resources and described information platform corresponding to this information resources, carry out focus quantification treatment, generate the focus coefficient information of all types of described information resources, and according to the focus coefficient of information resources described in the regional classification under described information platform, generate the regional hot spot coefficient information in corresponding area;
To the regional hot spot coefficient information in the described corresponding area process of fitting treatment of sampling, obtain the regional hot spot reference data of corresponding this area, according to described regional hot spot reference data, adjust described information resources in the issue amount of the described information platform of this area.
2. as claimed in claim 1ly according to information resources focus, carry out the method that information issue is adjusted, it is characterized in that, to the regional hot spot coefficient information in the described corresponding area process of fitting treatment of sampling, obtain the regional hot spot reference data of corresponding this area, be further:
Linear sampling process of fitting treatment is carried out in the short-term fluctuation that the regional hot spot coefficient information in corresponding area is increased to state and described regional hot spot coefficient information according to preset time cycle condition, described regional hot spot coefficient information, obtains the regional hot spot reference data of corresponding this area.
3. as claimed in claim 2ly according to information resources focus, carry out the method that information issue is adjusted, it is characterized in that, linear sampling process of fitting treatment is carried out in the short-term fluctuation that the regional hot spot coefficient information in corresponding area is increased to state and described regional hot spot coefficient information according to preset time cycle condition, described regional hot spot coefficient information, the regional hot spot reference data of obtaining corresponding this area, is further:
Regional hot spot coefficient information to corresponding area is year periodic condition according to the preset cycle, this area's focus coefficient information is carried out to linear sampling process of fitting treatment, generate the reference data data of this area's focus coefficient information, linear sampling process of fitting treatment is carried out in the short-term fluctuation that described regional hot spot coefficient information is increased to state and described regional hot spot coefficient information, generate respectively growth calibration data and the short-term fluctuation calibration data of described regional hot spot coefficient information, and according to the growth calibration data of described regional hot spot coefficient information and short-term fluctuation calibration data, described reference data data are calibrated, obtain the regional hot spot reference data of corresponding this area.
4. method of carrying out information issue adjustment according to information resources focus as claimed in claim 1, is characterized in that, described service demand factor information, is further:
The service demand factor information being formed by the ratio of the target requirement amount of information platform described in each and the dissimilar always issue amount of described information resources of its correspondence.
5. method of carrying out information issue adjustment according to information resources focus as claimed in claim 4, is characterized in that, described regional hot spot coefficient information, is further:
In the area under described information platform, focus coefficient information corresponding to all described information resources usingd the regional hot spot coefficient information that mean value formed of capacity as weighting.
6. according to information resources focus, carry out the system that information issue is adjusted, couple mutually with information platform and publisher server, it is characterized in that, this system comprises: service demand factor unit, focus coefficient elements and issue adjustment unit, wherein,
Described service demand factor unit, for monitoring and record the demand data of different described information platforms to described information resources, carries out quantification treatment to the described demand data of each information platform, generates the service demand factor information of each information platform;
Described focus coefficient elements, for obtain the issue amount data of dissimilar described information resources from the publisher server of described information resources, according to the service demand factor information of the issue amount data of described information resources and described information platform corresponding to this information resources, carry out focus quantification treatment, generate the focus coefficient information of all types of described information resources, and according to the focus coefficient of information resources described in the regional classification under described information platform, generate the regional hot spot coefficient information in corresponding area;
Described issue adjustment unit, for process of fitting treatment that the regional hot spot coefficient information in described corresponding area is sampled, obtain the regional hot spot reference data of corresponding this area, according to described regional hot spot reference data, adjust described information resources in the issue amount of the described information platform of this area.
7. system of carrying out information issue adjustment according to information resources focus as claimed in claim 6, is characterized in that, described issue adjustment unit, is further used for:
Linear sampling process of fitting treatment is carried out in the short-term fluctuation that the regional hot spot coefficient information in corresponding area is increased to state and described regional hot spot coefficient information according to preset time cycle condition, described regional hot spot coefficient information, obtains the regional hot spot reference data of corresponding this area.
8. system of carrying out information issue adjustment according to information resources focus as claimed in claim 7, is characterized in that, described issue adjustment unit, is further used for:
Regional hot spot coefficient information to corresponding area is year periodic condition according to the preset cycle, this area's focus coefficient information is carried out to linear sampling process of fitting treatment, generate the reference data data of this area's focus coefficient information, linear sampling process of fitting treatment is carried out in the short-term fluctuation that described regional hot spot coefficient information is increased to state and described regional hot spot coefficient information, generate respectively growth calibration data and the short-term fluctuation calibration data of described regional hot spot coefficient information, and according to the growth calibration data of described regional hot spot coefficient information and short-term fluctuation calibration data, described reference data data are calibrated, obtain the regional hot spot reference data of corresponding this area.
9. system of carrying out information issue adjustment according to information resources focus as claimed in claim 6, is characterized in that, described service demand factor information, is further:
The service demand factor information being formed by the ratio of the target requirement amount of information platform described in each and the dissimilar always issue amount of described information resources of its correspondence.
10. system of carrying out information issue adjustment according to information resources focus as claimed in claim 6, is characterized in that, described regional hot spot coefficient information, is further:
In the area under described information platform, focus coefficient information corresponding to all described information resources usingd the regional hot spot coefficient information that mean value formed of capacity as weighting.
CN201410011283.XA 2014-01-10 2014-01-10 Method and system for carrying out information issue adjustment according to information resource hot spots Expired - Fee Related CN103761584B (en)

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103970893A (en) * 2014-05-27 2014-08-06 合一信息技术(北京)有限公司 Service information publishing method and system
CN104239557A (en) * 2014-09-25 2014-12-24 北京国双科技有限公司 Method and device for monitoring promoted accounts
CN105991300A (en) * 2015-02-12 2016-10-05 大唐软件技术股份有限公司 Method, device and system for information sharing
CN108399500A (en) * 2018-03-02 2018-08-14 江苏电力信息技术有限公司 A kind of bipartite graph Optimum Matching method of complex condition balance in the supply and demant of goods and materials Li Ku
CN110378745A (en) * 2019-07-24 2019-10-25 金瓜子科技发展(北京)有限公司 Advertisement placement method, device and electronic equipment
CN113344619A (en) * 2021-05-31 2021-09-03 北京达佳互联信息技术有限公司 Resource release control method, device, server and storage medium

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101261716A (en) * 2008-04-23 2008-09-10 深圳市迅雷网络技术有限公司 Method and device for identifying mapping relation of advertisement and its distribution site
CN103136696A (en) * 2013-03-26 2013-06-05 明日互动(北京)广告传媒有限公司 Management method of media placement and system thereof
CN103186820A (en) * 2011-12-30 2013-07-03 北京百分通联传媒技术有限公司 Method for optimizing advertisement putting sequence based on mobile internet
CN103440584A (en) * 2013-07-31 2013-12-11 北京亿赞普网络技术有限公司 Advertisement putting method and system
KR20140002420A (en) * 2012-06-29 2014-01-08 에스케이플래닛 주식회사 Advertisement delivery system and method thereof

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101261716A (en) * 2008-04-23 2008-09-10 深圳市迅雷网络技术有限公司 Method and device for identifying mapping relation of advertisement and its distribution site
CN103186820A (en) * 2011-12-30 2013-07-03 北京百分通联传媒技术有限公司 Method for optimizing advertisement putting sequence based on mobile internet
KR20140002420A (en) * 2012-06-29 2014-01-08 에스케이플래닛 주식회사 Advertisement delivery system and method thereof
CN103136696A (en) * 2013-03-26 2013-06-05 明日互动(北京)广告传媒有限公司 Management method of media placement and system thereof
CN103440584A (en) * 2013-07-31 2013-12-11 北京亿赞普网络技术有限公司 Advertisement putting method and system

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103970893A (en) * 2014-05-27 2014-08-06 合一信息技术(北京)有限公司 Service information publishing method and system
CN103970893B (en) * 2014-05-27 2016-03-02 合一信息技术(北京)有限公司 A kind of information on services dissemination method and system
CN104239557A (en) * 2014-09-25 2014-12-24 北京国双科技有限公司 Method and device for monitoring promoted accounts
CN104239557B (en) * 2014-09-25 2017-11-14 北京国双科技有限公司 The monitoring method and device of promoted account
CN105991300A (en) * 2015-02-12 2016-10-05 大唐软件技术股份有限公司 Method, device and system for information sharing
CN105991300B (en) * 2015-02-12 2019-07-12 大唐软件技术股份有限公司 Information sharing method, device and system
CN108399500A (en) * 2018-03-02 2018-08-14 江苏电力信息技术有限公司 A kind of bipartite graph Optimum Matching method of complex condition balance in the supply and demant of goods and materials Li Ku
CN110378745A (en) * 2019-07-24 2019-10-25 金瓜子科技发展(北京)有限公司 Advertisement placement method, device and electronic equipment
CN110378745B (en) * 2019-07-24 2022-06-03 金瓜子科技发展(北京)有限公司 Advertisement putting method and device and electronic equipment
CN113344619A (en) * 2021-05-31 2021-09-03 北京达佳互联信息技术有限公司 Resource release control method, device, server and storage medium

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