CN109993552A - A kind of PMP price acquisition methods and device - Google Patents
A kind of PMP price acquisition methods and device Download PDFInfo
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- CN109993552A CN109993552A CN201711483597.XA CN201711483597A CN109993552A CN 109993552 A CN109993552 A CN 109993552A CN 201711483597 A CN201711483597 A CN 201711483597A CN 109993552 A CN109993552 A CN 109993552A
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0273—Determination of fees for advertising
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0277—Online advertisement
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0283—Price estimation or determination
Abstract
The present invention discloses a kind of PMP price acquisition methods and device, is applied to Internet advertising field, and PMP price acquisition methods include: to obtain the dispensing demand information for being directed to targeted advertisements master;Obtain the RTB knock-down price data in default historical time section;The RTB knock-down price data to be processed for launching demand information are determined for compliance with from the RTB knock-down price data in default historical time section;The processing that RTB knock-down price data to be processed are carried out with default price-adjusting strategy, the PMP generated for targeted advertisements master customize price.The present invention solves the technical problem that the price of PMP sale price is not allowed.
Description
Technical field
The present invention relates to Internet advertising field more particularly to a kind of PMP price acquisition methods and device.
Background technique
Sequencing advertisement (Programmatic Advertising) refers to and carries out advertisement transaction and pipe using technological means
Reason, advertiser can purchase media resource with sequencing, and media can sell the media resource across media, cross-terminal with sequencing.No
Under same business demand driving, various trade modes are produced in sequencing advertisement, wherein PMP (Private
Marketplace, privately owned trade market) becoming the hot topic that field is bought in sequencing advertisement.If sequencing is removed from office
Life has planned the domain of Internet advertising again, then PMP is then that advertising programization purchase is brought for advertiser and media
New revolutionary variation, PMP can analyze demand, match media, as long as launching advertisement whole flow process probably 20-50 milli
Second, balance the relationship between advertiser's brand and media.
But it is typically all arbitrary pricing that traditional PMP, which sells price, shortage specifically launches demand and pre- forward price to client
Lattice are considered, and cause the price of PMP sale price inaccurate.
Summary of the invention
The embodiment of the present invention solves PMP in the prior art and sells by providing a kind of PMP price acquisition methods and device
The inaccurate technical problem of the price of price.
In a first aspect, the embodiment of the invention provides a kind of PMP price acquisition methods, comprising:
Obtain the dispensing demand information for being directed to targeted advertisements master;
Obtain the real time bid RTB knock-down price data in default historical time section;
Be determined for compliance with from the RTB knock-down price data in the default historical time section it is described launch demand information to from
Manage RTB knock-down price data;
The processing that the RTB knock-down price data to be processed are carried out with default price-adjusting strategy, generates and is directed to the targeted advertisements
Main privately owned trade market PMP customizes price.
With reference to first aspect, in the first possible implementation of the first aspect, wide for target in the acquisition
Accuse main dispensing demand information, comprising:
It receives user and inputs information;
The determining dispensing demand information for being directed to the targeted advertisements master of information is inputted according to the user.
It is described to obtain the dispensing demand information for being directed to targeted advertisements master, comprising:
Obtain the advertisement release time for the targeted advertisements master, ground is launched in the advertisement for the targeted advertisements master
Domain, the dispensing demand information that one or more of group is launched for the advertisement of the targeted advertisements master.
With reference to first aspect, in the second possible implementation of the first aspect, described to obtain default historical time
RTB knock-down price data in section, comprising:
The RTB log in the default historical time section is obtained from RTB system;
From the RTB log in the default historical time section, the RTB conclusion of the business valence mumber for belonging to the targeted advertisements master is determined
According to, and/or meet between the targeted advertisements master RTB knock-down price data of the advertiser of pre-set product similarity.
With reference to first aspect, in a third possible implementation of the first aspect, described to obtain default historical time
RTB knock-down price data in section, comprising:
The RTB log in the default historical time section is obtained from RTB system;
From the RTB log in the default historical time section, the RTB conclusion of the business valence mumber for belonging to the targeted advertisements master is searched
According to;
If lookup result is sky, searched and the targeted advertisements from the RTB log in the default historical time section
Meet the RTB knock-down price data of the advertiser of pre-set product similarity between master.
The third possible implementation or the 4th kind of possible implementation with reference to first aspect, in first aspect
The 5th kind of possible implementation in, the processing that the RTB knock-down price data to be processed are carried out with default price-adjusting strategy,
The PMP generated for the targeted advertisements master customizes price, comprising:
Price statistics are carried out to the RTB knock-down price data to be processed, obtain RTB price statistics result;
Price adjustment processing is carried out to the RTB price statistics result, obtains selling for the PMP customization of the targeted advertisements master
Valence.
The 5th kind of possible implementation with reference to first aspect, in the 6th kind of possible implementation of first aspect
In, it is described that price adjustment processing is carried out to the RTB price statistics result, the PMP customization price for the targeted advertisements master is obtained,
Include:
Price adjustment processing is carried out to the RTB price statistics result according to default price adjustment parameter, is obtained wide for the target
It accuses main PMP and customizes price.
The 5th kind of possible implementation with reference to first aspect, in the 7th kind of possible implementation of first aspect
In, it is described that price adjustment processing is carried out to the RTB price statistics result, the PMP customization price for the targeted advertisements master is obtained,
Include:
Price adjustment processing is carried out to the RTB price statistics result according to default price adjustment parameter, is obtained wide for the target
Price after the main adjustment of announcement;
Obtain current time information;
Determine the corresponding price rebate ratio of the current time information;
Discount processing is carried out to price after the adjustment according to the price rebate ratio, is obtained for the targeted advertisements
Main PMP customizes price.
Second aspect, the embodiment of the invention provides a kind of PMP prices to obtain system, comprising:
Dispensing demand acquiring unit, for obtaining the dispensing demand information for being directed to targeted advertisements master;
Knock-down price data capture unit, for obtaining the real time bid RTB knock-down price data in default historical time section;
Knock-down price data determination unit, for determining symbol from the RTB knock-down price data in the default historical time section
Close the RTB knock-down price data to be processed for launching demand information;
Price adjustment unit, for the RTB knock-down price data to be processed to be carried out with the processing of default price-adjusting strategy, generation is directed to
The privately owned trade market PMP of the targeted advertisements master customizes price.
In conjunction with second aspect, in the first possible implementation of the second aspect, the dispensing demand acquiring unit,
Include:
Information receiving subelement inputs information for receiving user;
Information determines subelement, for inputting the determining dispensing need for being directed to the targeted advertisements master of information according to the user
Seek information.
In conjunction with second aspect, in a second possible implementation of the second aspect, described obtain is directed to targeted advertisements
Main dispensing demand information, comprising:
Obtain the advertisement release time for the targeted advertisements master, ground is launched in the advertisement for the targeted advertisements master
Domain, the dispensing demand information that one or more of group is launched for the advertisement of the targeted advertisements master.
In conjunction with second aspect, in the third possible implementation of the second aspect, the knock-down price data acquisition list
Member, comprising:
First log acquisition subelement, for obtaining the RTB log in the default historical time section from RTB system;
First data determine subelement, for determining described in belonging to from the RTB log in the default historical time section
The RTB knock-down price data of targeted advertisements master, and/or meet between the targeted advertisements master advertiser of pre-set product similarity
RTB knock-down price data.
In conjunction with second aspect, in the fourth possible implementation of the second aspect, the knock-down price data acquisition list
Member, comprising:
Second log acquisition subelement, for obtaining the RTB log in the default historical time section from RTB system;
First data search subelement, for from the RTB log in the default historical time section, lookup to belong to described
The RTB knock-down price data of targeted advertisements master;
Second data search subelement, the lookup result for the first data search subelement is sky, from described pre-
If searching the advertiser's for meeting pre-set product similarity between the targeted advertisements master in the RTB log in historical time section
RTB knock-down price data.
In conjunction with the third possible implementation of second aspect or the 4th kind of possible implementation, in second aspect
The 5th kind of possible implementation in, the price adjustment unit, comprising:
Price statistics subelement obtains RTB price for carrying out price statistics to the RTB knock-down price data to be processed
Statistical result;
Price adjustment processing subelement is obtained for carrying out price adjustment processing to the RTB price statistics result for the target
The PMP of advertiser customizes price.
In conjunction with the 5th kind of possible implementation of second aspect, in the 6th kind of possible implementation of second aspect
In, the price adjustment handles subelement, it is specifically used for:
Price adjustment processing is carried out to the RTB price statistics result according to default price adjustment parameter, is obtained wide for the target
It accuses main PMP and customizes price.
In conjunction with the 5th kind of possible implementation of second aspect, in the 7th kind of possible implementation of second aspect
In, the price adjustment handles subelement, it is specifically used for:
Price adjustment processing is carried out to the RTB price statistics result according to default price adjustment parameter, is obtained wide for the target
Price after the main adjustment of announcement;
Obtain current time information;
Determine the corresponding price rebate ratio of the current time information;
Discount processing is carried out to price after the adjustment according to the price rebate ratio, is obtained for the targeted advertisements
Main PMP customizes price.
The third aspect, the embodiment of the present invention provide a kind of computer readable storage medium, are stored thereon with computer program,
Step described in any possible implementation of the first aspect to first aspect is realized when the program is executed by processor.
Fourth aspect, the embodiment of the present invention provide a kind of PMP price acquisition equipment, including memory, processor and storage
On a memory and the computer program that can run on a processor, the processor realize first aspect when executing described program
Step described in any possible implementation to first aspect.
The one or more technical solutions provided in the embodiment of the present invention, have at least the following technical effects or advantages:
By obtain the real time bid RTB launched in demand information and default historical time section for targeted advertisements master at
Hand over valence mumber evidence;The RTB to be processed for launching demand information is determined for compliance with from the RTB knock-down price data in default historical time section again
Knock-down price data;The processing that finally RTB knock-down price data to be processed are carried out with default price-adjusting strategy, generates and is directed to targeted advertisements master
PMP customize price, so as to based on characterization advertiser to launch demand dispensing demand information come to existing RTB strike a bargain
Valence mumber filters out the RTB knock-down price data for meeting and launching demand information according to being screened, then to the RTB that this part screens
Knock-down price data can obtain the price of the customization to PMP price based on the processing of default price-adjusting strategy, and obtained PMP price is not
It is arbitrarily manually set, historied, basic price can be according to, therefore can satisfy the anticipated price between media and client
Balance, will not fix a price too high, will not fix a price too low, so, improve the price accuracy of PMP price.
Detailed description of the invention
To describe the technical solutions in the embodiments of the present invention more clearly, make required in being described below to embodiment
Attached drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the invention, for this
For the those of ordinary skill of field, without creative efforts, it can also be obtained according to these attached drawings others
Attached drawing.
Fig. 1 is the flow chart of PMP price acquisition methods provided in an embodiment of the present invention;
Fig. 2 is the Program modual graph that PMP price provided in an embodiment of the present invention obtains system;
Fig. 3 is the structural schematic diagram of computer readable storage medium provided in an embodiment of the present invention;
Fig. 4 is the structural schematic diagram that PMP price provided in an embodiment of the present invention obtains equipment.
Specific embodiment
The embodiment of the present invention solves PMP in the prior art and sells by providing a kind of PMP price acquisition methods and device
The inaccurate technical problem of Price Pricing.
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
The embodiment of the invention provides a kind of PMP price acquisition methods, are applied to PMP system, and PMP system is applied to program
In the process of exchange for changing advertisement, the sequencing specifically for completing advertisement between advertiser and media is bought, different media it is wide
The trustship of position resource is accused in PMP system, party in request's platform (corresponding party in request's platform is advertiser or agent) accesses PMP system
System.Advertiser (Advertiser) is the final demand side for buying flow and carrying out advertisement dispensing, and agent (Agency) is advertisement
Main business agent, media side's platform also access PMP system, constitute the PMP purchasing model of sequencing advertisement.
Illustrate first, herein presented term "and/or", only a kind of incidence relation for describing affiliated partner, table
Show there may be three kinds of relationships, for example, A and/or B, can indicate: individualism A exists simultaneously A and B, individualism B this three
Kind situation.In addition, character "/" herein, typicallys represent the relationship that forward-backward correlation object is a kind of "or".
Refering to what is shown in Fig. 1, a kind of PMP price acquisition methods provided in an embodiment of the present invention, include the following steps:
Step S101: the dispensing demand information for being directed to targeted advertisements master is obtained.
It should be noted that carrying out launching the various of advertisement comprising targeted advertisements are main in dispensing demand information in the present invention
Demand.It in the specific implementation process, may include: for targeted advertisements master for the dispensing demand information of targeted advertisements master
Advertisement release time, the advertisement dispensing region for targeted advertisements master, one in the advertisement dispensing group for targeted advertisements master
Kind or more dispensing demand information.
Specifically, can be given below there are many embodiment to obtain the dispensing demand information for being directed to targeted advertisements master
Following three kinds of embodiments are illustrated out:
Embodiment one, the product attribute for obtaining the required target product for launching advertisement, according to the product category of target product
Property determine launch demand information.
Specifically, the product attribute that the target product of advertisement is launched according to needed for targeted advertisements master, determines targeted advertisements
One or more of region, advertisement release time, advertisement dispensing group dispensing demand letter are launched in the main advertisement for launch advertisement
Breath.
Specifically, the product attribute of target product can be directly received from party in request's platform, or receives target product
Name of product after, the product attribute of target product is searched from network according to the name of product of target product.
For example, targeted advertisements master is " XX Women's dress brand ", and the required target product for launching advertisement is specially that certain is " trendy
Woman style down jackets ", the product category of certain " trendy woman style down jackets " includes: women, winter dress, according to certain " trendy woman style down jackets "
Product attribute " women ", " winter dress " determine that it may include as follows for launching demand information:
Region: north city region is launched in advertisement
Group: female group is launched in advertisement
The advertisement release time: winter
For example, targeted advertisements master is " A agent ", and the required target product for launching advertisement is specially " Beijing Public Transport
APP ", the product attribute of " Beijing Public Transport APP " may include: Beijing, traffic, according to the product attribute " north of " Beijing Public Transport APP "
Capital ", " traffic " determine that launching demand information may include: that region: Beijing is launched in advertisement.
Embodiment two obtains user's input information that targeted advertisements master inputs on party in request's platform, defeated according to user
Enter information and determines the dispensing demand information for being directed to targeted advertisements master.
Specifically, PMP system receives user's input that targeted advertisements master inputs in party in request's platform from party in request's platform
Information, it may include: one or more of address information, community information, temporal information that user, which inputs information,.Then, PMP system
The advertisement dispensing region for targeted advertisements master is determined according to address information, is determined according to community information for targeted advertisements master's
Group is launched in advertisement, and the advertisement release time for being directed to targeted advertisements master is determined according to temporal information.
It, can be direct by the address information of input of the targeted advertisements master on party in request's platform for region is launched in advertisement
It is determined as advertisement and launches region, so that the selection flexibility that targeted advertisements master launches region to advertisement is higher.
In the specific implementation process, multiple advertisements can have been divided and launched region, each advertisement is launched region and can be divided
Sub- region is launched for multiple advertisements, PMP system will be determined as advertisement from the received address information of party in request's platform and launch region, than
Such as, targeted advertisements master inputs " Beijing " on party in request's platform, then PMP system is true by " Beijing " for receiving from party in request's platform
It is set to and launches region for the main advertisement for launching advertisement of targeted advertisements.For example, being inputted on party in request's platform from targeted advertisements master
" Central China ", the then dispensing that " Central China " that receives from party in request's platform is determined as targeted advertisements master by PMP system are wide
Region is launched in the advertisement of announcement.
For region is launched in advertisement, the better address inputted on party in request's platform from targeted advertisements master can also be believed
The effective area extracted in breath is determined as advertisement and launches region.So as to avoid the shadow of the invalid information of targeted advertisements primary input
It rings, improves the accuracy that region is launched in advertisement.
For example, the better address information that PMP system is received from party in request's platform is " Guangzhou, Guangdong Huangpu District
The street XX XX ", then it is that region is launched in advertisement that PMP system, which extracts " Guangdong Province " or " Guangzhou, Guangdong ",.
It is the targeted advertisements master current desired period for launching advertisement for the advertisement release time.It had been embodied
Cheng Zhong, advertisement release time may include one or more of following period: some period in one day, certain in one week
Perhaps a few days can also be certain month or certain several month, certain week or a few weeks in 1 year for it.
PMP system can be determined directly as extensively from main the inputted temporal information of the received targeted advertisements of party in request's platform
Accuse the release time.For example, being " November 11 " from the received temporal information of party in request's platform, then will directly determine on " November 11 "
It is " early 7:00~evening 7:00 " from the received temporal information of party in request's platform for the advertisement release time, then directly by the " morning on the same day
7:00~evening 7:00 " is determined as the advertisement release time.It is " Saturday and Zhou Tian " from the received temporal information of party in request's platform, then directly
It connects and " Saturday and the Zhou Tian " of this week is determined as the advertisement release time.
For the advertisement release time, it can also believe according to from the time of the received targeted advertisements primary input of party in request's platform
Breath one pre-set advertisement release time in PMP of matching.
For group is launched in advertisement, targeted advertisements master can be directly determined in the community information that party in request's platform inputs
For advertisement launch group, can also by from the community information of the received targeted advertisements primary input of party in request's platform match one
Group is launched in pre-set advertisement in PMP.
Embodiment three, the dispensing demand information that targeted advertisements master is directed to before, which are determined, is directed to targeted advertisements when previous
Main dispensing demand information, or before for the dispensing demand with the main advertiser for meeting pre-set product similarity of targeted advertisements
Information.
For example, targeted advertisements master or other advertisers are directed to " mobile phone A " before and launch the dispensing being arranged when advertisement
Demand information specifically: region: Beijing is launched in advertisement, the advertisement release time: November 11, advertisement dispensing group: 20~30 years old
Male, " mobile phone B " are the new generation product of mobile phone " mobile phone A ", then targeted advertisements master launches advertisement for " mobile phone B " when previous
When, determine launch demand information can be with are as follows: region: Beijing is launched in advertisement, the advertisement release time: group is launched in November 11, advertisement
Body: 20~30 years old male.
Execute step S102, obtain RTB (Real Time Bidding, real time bid) in default historical time section at
Hand over valence mumber evidence.
In one embodiment, step S102 includes the following steps S1021~S1022:
It first carries out step S1021: obtaining the RTB log in default historical time section from RTB system.
RTB system be it is a kind of using third party technology in millions of websites or mobile terminal for each user's exhibition
Show the Ask-Bid System that behavior is assessed and bid.Specifically, default historical time section can be set in one day to one week
Any value.In the specific implementation process, presetting historical time section is specially to get to start at the time of launching demand information
Any value in one day to one week is retrodicted, the obtained period.
It should be noted that RTB log can be generated in RTB system, after getting dispensing demand information, from RTB
The RTB log in default historical time section is obtained in system, recorded in the RTB log in default historical time section one or
A plurality of RTB knock-down price record, wherein every RTB knock-down price record include advertiser's mark, advertiser identify corresponding RTB at
Friendship valence.For example, RTB knock-down price record can be expressed as follows: advertiser's 00232-2 member, advertiser's 00231-1.5 member,
Advertiser's 00432-1 member.
Further, every RTB knock-down price record further includes product attribute.For example, RTB knock-down price record can also be with
It indicates are as follows: -2 yuan of mobile phone of advertiser 00232-, advertiser 00231- sports coat -1.5.
After step S1021, step S1022 is then executed: determining and belong to from the RTB log in default historical time section
In the RTB knock-down price data of targeted advertisements master and/or the advertiser for meeting between targeted advertisements master pre-set product similarity
RTB knock-down price data, the RTB knock-down price data being determined as in default historical time section.
It should be noted that the advertiser for meeting pre-set product similarity between targeted advertisements master be specifically as follows it is as follows
The combination of one or more of a variety of situations situation:
The targeted product of situation one, dispensing advertisement belongs to identical product class.
For example, for example product class has men's clothing and women's dress, and the product of targeted advertisements master is women's dress A, if a certain advertisement
The product of main B is men's clothing B, and pre-set product similarity is unsatisfactory between advertiser B and targeted advertisements master, if, a certain advertiser B
Product be women's dress C, then advertiser C with targeted advertisements are main meets pre-set product similarity.
Situation two, the grown place for launching the targeted product of advertisement are identical.
For example, the production of targeted advertisements master Tianjin, the product of advertiser B grown place in Beijing, extensively
The grown place of the product of main C is accused in Tianjin, then meets pre-set product similarity between advertiser C and targeted advertisements master.
Situation three, the market for launching the targeted product of advertisement are identical.
For example, the market of the product of targeted advertisements master Tianjin, the product of advertiser B market in Beijing,
The market of the product of advertiser C then meets pre-set product similarity in Tianjin between advertiser C and targeted advertisements master.
Situation four, the product selling price for launching the targeted product of advertisement belong to one price region.
Be specially so that 1000 yuan is boundary grades as an example by price region: price region may include as follows: 1~1000
Member, 1000~2000 yuan, 2000~3000 yuan etc..For example, the selling price of targeted advertisements master is 200 yuan, advertiser B
Product selling price be 300, advertiser C sale product price be 2000, then between advertiser B and targeted advertisements master
Meet pre-set product similarity.
In the specific implementation process, four kinds of embodiments can be given below there are many embodiment in S1022:
Embodiment one: the RTB knock-down price for belonging to targeted advertisements master is determined from the RTB log in default historical time section
Data.
Specifically, in the present embodiment, the advertiser of targeted advertisements master is identified successively and in default historical time section
RTB log in every RTB knock-down price record advertiser mark be compared, if contrast advertiser mark it is identical,
It is determined to belong to the RTB knock-down price record of targeted advertisements master, if contrasting advertiser identifies difference, to be not belonging to targeted advertisements
Main RTB knock-down price record, until having compared the note of the last item RTB knock-down price in the RTB log in default historical time section
Record determines that each RTB knock-down price record for belonging to targeted advertisements master, collection are combined into the RTB conclusion of the business valence mumber for belonging to targeted advertisements master
According to that is, are as follows: the RTB knock-down price data in preset time period.
For example, presetting the RTB log in historical time section includes following a plurality of RTB knock-down price record: advertiser
00232-2 member, advertiser's 00231-1.5 member, advertiser's 00232-1.1 member.The advertiser of targeted advertisements master is identified as
00232, determine the RTB knock-down price record for belonging to targeted advertisements master 00232 specifically: advertiser 00232-2 member and advertiser
00232-1.1 member.
By present embodiment one, the RTB knock-down price data for more meeting the price expectancy of targeted advertisements master can be obtained.
Embodiment two: meet pre-set product between targeted advertisements master from determining in the RTB log in preset time period
The RTB knock-down price data of the advertiser of similarity.
In present embodiment two, every RTB knock-down price in the RTB log in preset time period is recorded in addition to advertiser
Advertiser's mark and RTB knock-down price, should also include discriminant information for differentiating product similarity.Corresponding pre-set product
The description of similarity, every RTB knock-down price record should also include the discriminant information for differentiating product similarity.
The discriminant information of targeted advertisements master is successively compared with the discriminant information in every RTB knock-down price record, such as
Fruit comparing result shows to meet pre-set product similarity, then extracts this RTB knock-down price and record, if comparison result shows to be discontented with
Sufficient pre-set product similarity then abandons this RTB knock-down price record, until having compared in the RTB log in preset time period
Each RTB knock-down price record of extraction is determined as meeting between targeted advertisements master default by the last item RTB knock-down price record
The RTB knock-down price data of the advertiser of product similarity.
Specifically, every RTB knock-down price record should also include the discriminant information for differentiating product similarity, packet
Include: one or more of product category information, grown place information, market information, selling price specifically comprise the following steps
A1~c1:
Execute step a1: by every RTB in the RTB log in the product category information of targeted advertisements master and preset time period at
Whether the product category information in friendship valence record compares identical;
Execute step b1: by every RTB in the RTB log in the grown place information of targeted advertisements master and preset time period at
Whether the grown place information in friendship valence record compares identical.
Execute step c1: by every RTB in the RTB log in the market information of targeted advertisements master and preset time period at
Whether the market information in friendship valence record compares identical;
Execute step d1: judge in the RTB log in the selling price and preset time period of targeted advertisements master every RTB at
Whether the selling price in friendship valence record belongs to one price region.
Step a1~d1 it is not stringent execute sequence, in the specific implementation process, may be performed simultaneously, or point
Any successive execution.It can be and show to meet default production if the result of either one or two step in step a1~d1 is to be
Product similarity, if it is to show to meet pre-set product similarity that the result for being also possible to step a1~d1, which is,.
By present embodiment two, more RTB knock-down price data, the RTB knock-down price data distribution of acquisition can be obtained
It is more balanced, more met RTB knock-down price data expected from media.
Embodiment three: the RTB knock-down price for belonging to targeted advertisements master is determined from the RTB log in default historical time section
Data and meet between targeted advertisements master pre-set product similarity advertiser RTB knock-down price data.
By present embodiment three, obtain that RTB knock-down price data expected from media and targeted advertisements primary valence lattice can be balanced.
In present embodiment three, the specially RTB knock-down price data that respectively determine of embodiment one and embodiment two
Set do not repeated herein in order to illustrate the succinct of book.By present embodiment three, can obtain more with fixed to PMP
Make and sell the RTB knock-down price data that valence has reference significance.
Embodiment four: it first carries out step 1: being searched from the RTB log in default historical time section and belong to targeted advertisements
Main RTB knock-down price data;If lookup result is sky, 2 are thened follow the steps: from the RTB log in default historical time section
Search the RTB knock-down price data for meeting the advertiser of pre-set product similarity between targeted advertisements master.
Specifically, in step 1, the RTB for belonging to targeted advertisements master is searched from the RTB log in default historical time section
The embodiment of knock-down price data can in a manner of reference implementation one: in order to illustrate the succinct of book, repeating in present embodiment.
If the RTB knock-down price record for belonging to targeted advertisements master found from the RTB log in default historical time section is less than pre-
If item number, such as 0, such as 100, then it is searched between targeted advertisements master from the RTB log in default historical time section
Meet the RTB knock-down price data of the advertiser of pre-set product similarity.
Specifically, meeting pre-set product between targeted advertisements master from searching in the RTB log in default historical time section
The embodiment of the RTB knock-down price data of the advertiser of similarity can be with above-mentioned reference embodiment two, in order to illustrate the letter of book
It is clean, it is not being repeated in present embodiment.In present embodiment three, found from the RTB log in default historical time section
All belong to targeted advertisements master's and meet between targeted advertisements master pre-set product similarity advertiser RTB at
The set of friendship valence record is the RTB knock-down price data in historical time section described in step S102.
After step s 102, then, step S103 is executed: from the RTB knock-down price data in default historical time section
It is determined for compliance with the RTB knock-down price data to be processed for launching demand information.
Every RTB knock-down price record further includes directed information in RTB knock-down price data in default historical time section, will be thrown
Put the directed information of every RTB knock-down price record in the RTB knock-down price data in demand information and default historical time section into
Row comparison retains this RTB knock-down price record, if comparing result is not identical, abandons this if comparing result is identical
RTB knock-down price record.
Specifically, directed information to launch demand information it is corresponding, if directed information include: region orientation, group it is fixed
To, time orientation, then following steps a2~c2 is executed:
Step a2: the RTB knock-down price that will be launched for the advertisement of targeted advertisements master in region and default historical time section
Whether the region orientation of every RTB knock-down price record compares identical in data, or whether belongs to same territorial scope.
Execute step b2: will be launched for the advertisement of targeted advertisements master the RTB in group and default historical time section at
It whether identical hands over valence mumber group directional of every RTB knock-down price record in compare, or whether belongs to the same group collection
It closes.
Execute step c2: will for targeted advertisements master the advertisement release time and default historical time section in RTB at
Hand over whether valence mumber time orientation of every RTB knock-down price record in belongs to same release time section;
Step a2~c2 it is not stringent execute sequence, in the specific implementation process, may be performed simultaneously, or point
Any successive execution.It is to meet dispensing demand to believe that the result that can be either one or two step in step a2~c2, which is when being,
The RTB knock-down price data to be processed of breath, or if the result of step a2~c2 is to be to be only to meet dispensing demand letter
The RTB knock-down price data to be processed of breath.
After step s 103, it then executes step S104, default price-adjusting strategy is carried out to RTB knock-down price data to be processed
Processing, generate for targeted advertisements master PMP customize price.
Specifically, can be illustrated separately below there are many embodiment for step S104:
Embodiment one: step S104 can specifically comprise the following steps S1041~S1042:
It executes step S1041, price statistics is carried out to RTB knock-down price data to be processed, obtain RTB price statistics result.
Specifically, it is flat to carry out arithmetic to the price value of each RTB knock-down price record in RTB knock-down price data to be processed
, one of weighted average price statistics processing, obtains RTB price statistics result.
It, will be in each RTB knock-down price record in RTB knock-down price data to be processed for the mode of arithmetic mean
RTB knock-down price is added, and will add up result divided by the record strip number of RTB knock-down price data to be processed, obtains RTB price system
Count result.
For average weighted mode, the RTB of every knock-down price record in RTB knock-down price data to be processed is struck a bargain
Valence is multiplied with corresponding weighted value, and each multiplied result is added to obtain RTB price statistics result.Specifically,
Belong to targeted advertisements master each knock-down price record RTB knock-down price corresponding to weighted value be greater than belong to other advertisers at
Weighted value corresponding to RTB knock-down price in friendship valence record.
Specifically, each item that RTB knock-down price in RTB knock-down price data to be processed is greater than default price limit value can also be chosen
RTB knock-down price record, then carry out arithmetic average or be weighted and averaged the calculating of mode, obtain RTB price statistics result.
Default price limit value can be RTB knock-down price in each RTB knock-down price record in RTB knock-down price data to be processed
Carry out arithmetic mean or average weighted result, or the definite value being pre-stored in PMP system, in order to illustrate the letter of book
Clean, repeats no more herein.
Step S1042, price adjustment processing is carried out to RTB price statistics result, obtains selling for the PMP customization of targeted advertisements master
Valence.
Specifically, in one embodiment, price adjustment processing is carried out to RTB price statistics result according to default price adjustment parameter,
Obtain the PMP customization price for targeted advertisements master.
Default price adjustment parameter can be a percent value in 100%~200%, by RTB price statistics result multiplied by
Default price adjustment parameter obtains the PMP customization price for targeted advertisements master.For example, for example, RTB price statistics result is 2
Member, presetting price adjustment parameter is 200%, then for the PMP customization price=2 yuan * 200%=4 member of targeted advertisements master.
By present embodiment, price can be rationally increased on the basis of RTB price, PMP customizes price.
In another embodiment, step S104 includes the following steps:
S1041 ': carrying out price adjustment processing to RTB price statistics result according to default price adjustment parameter, obtains for targeted advertisements
Price after main adjustment.
Specifically, default price adjustment parameter can be a percentage in 100%~200%, by RTB price statistics result
Multiplied by default price adjustment parameter, it is adjusted rear price.
S1042 ': current time information is obtained;
S1043 ': the corresponding price rebate ratio of current time information is determined;
S1044 ': discount processing is carried out to price after adjustment according to price rebate ratio, is obtained for targeted advertisements master's
PMP customizes price.
For example, price rebate ratio can be the period in one day corresponding, for example, point~5 0:00 in one day:
00 point of corresponding price rebate ratio is 20%, and 5:00 point~9:00 point price rebate ratio in one day is 10%, if
Current time information is the price * 80% after then adjusting in 0:00 point~5:00 point, obtains determining for the PMP of targeted advertisements master
Valence is made and sold, if current time information is in 4:00 point~9:00 point, price * 90% after adjusting is obtained wide for target
It accuses main PMP and customizes price.For example, price is 6 yuan after adjustment, then if it is in 0:00 point~5:00 point, then it is wide to be directed to target
It accuses main PMP and customizes 4.8 yuan of price, if customizing price 5.4 for the PMP of targeted advertisements master in 5:00 point~9:00 point
First
The time of price rebate ratio setting is also possible to the period in one week corresponding, such as: it Monday~Friday, can also
To be the special period in 1 year corresponding, for example, January~March.
By present embodiment, the price adjustment for meeting different discounting periods can be carried out on the basis of RTB price, thus
It is more flexible that PMP customizes price, and meets the actual conditions of different times, therefore further improves the accurate of PMP customization price
Property.
Based on the same inventive concept, the embodiment of the present invention provides a kind of PMP price acquisition system, refering to what is shown in Fig. 2, including
Following procedure module:
Dispensing demand acquiring unit 201, for obtaining the dispensing demand information for being directed to targeted advertisements master;
Knock-down price data capture unit 202, for obtaining the real time bid RTB conclusion of the business valence mumber in default historical time section
According to;
Knock-down price data determination unit 203, for being determined for compliance with from the RTB knock-down price data in default historical time section
Launch the RTB knock-down price data to be processed of demand information;
Price adjustment unit 204, for RTB knock-down price data to be processed to be carried out with the processing of default price-adjusting strategy, generation is directed to
The privately owned trade market PMP of targeted advertisements master customizes price.
In a specific embodiment, demand acquiring unit 201 is launched, comprising:
Information receiving subelement inputs information for receiving user;
Information determines subelement, for inputting the determining dispensing demand information for being directed to targeted advertisements master of information according to user.
In a specific embodiment, the dispensing demand information for being directed to targeted advertisements master is obtained, comprising:
Obtain the advertisement release time for targeted advertisements master, region is launched in the advertisement for targeted advertisements master, is directed to mesh
The dispensing demand information of one or more of group is launched in the advertisement for marking advertiser.
In a specific embodiment, knock-down price data capture unit 202, comprising:
First log acquisition subelement, for obtaining the RTB log in default historical time section from RTB system;
First data determine subelement, for from the RTB log in default historical time section, determination to belong to targeted advertisements
Main RTB knock-down price data, and/or meet between targeted advertisements master the RTB knock-down price of the advertiser of pre-set product similarity
Data.
In a specific embodiment, knock-down price data capture unit 202, comprising:
Second log acquisition subelement, for obtaining the RTB log in default historical time section from RTB system;
First data search subelement, for from the RTB log in default historical time section, lookup to belong to targeted advertisements
Main RTB knock-down price data;
Second data search subelement, the lookup result for the first data search subelement is sky, when from default history
Between search the RTB conclusion of the business valence mumber for meeting the advertiser of pre-set product similarity between targeted advertisements master in RTB log in section
According to.
In a specific embodiment, unit 204 of readjusting prices, comprising:
Price statistics subelement obtains RTB price statistics for carrying out price statistics to RTB knock-down price data to be processed
As a result;
Price adjustment processing subelement is obtained for carrying out price adjustment processing to RTB price statistics result for targeted advertisements master's
PMP customizes price.
In a specific embodiment, price adjustment processing subelement is specifically used for:
Price adjustment processing is carried out to RTB price statistics result according to default price adjustment parameter, obtains the PMP for targeted advertisements master
Customize price.
In a specific embodiment, price adjustment processing subelement is specifically used for:
Price adjustment processing is carried out to RTB price statistics result according to default price adjustment parameter, obtains the tune for targeted advertisements master
Price after whole;
Obtain current time information;
Determine the corresponding price rebate ratio of current time information;
Discount processing is carried out to price after the adjustment according to price rebate ratio, is obtained for the targeted advertisements master's
PMP customizes price.
Based on the same inventive concept, the embodiment of the invention provides a kind of computer readable storage mediums 301, with reference to Fig. 3
It is shown, it is stored thereon with computer program 302, the program is when being executed by processor in aforementioned PMP price acquisition methods embodiment
Step described in any embodiment.
Based on the same inventive concept, the embodiment of the present invention provides a kind of PMP price acquisition equipment, including memory, processing
On a memory and the computer program that can run on a processor, when processor execution described program, is realized for device and storage
Step described in any embodiment in aforementioned PMP price acquisition methods embodiment.
Fig. 4 is the structural schematic diagram that PMP price obtains equipment in the embodiment of the present invention.The PMP price obtains equipment 1900
Bigger difference can be generated because configuration or performance are different, may include one or more central processing units (central
Processing units, CPU) 1922 (for example, one or more processors) and memory 1932, one or one with
The storage medium 1930 (such as one or more mass memory units) of upper storage application program 1942 or data 1944.Its
In, memory 1932 and storage medium 1930 can be of short duration storage or persistent storage.It is stored in the program of storage medium 1930
It may include one or more modules (diagram does not mark), each module may include the system obtained in equipment to price
Column instruction operation.Further, central processing unit 1922 can be set to communicate with storage medium 1930, obtain in PMP price
Take the series of instructions operation executed in storage medium 1930 in equipment 1900.
Price obtain equipment 1900 can also include one or more power supplys 1926, one or more it is wired or
Radio network interface 1950, one or more input/output interfaces 1958, one or more keyboards 1956, and/or,
One or more operating systems 1941, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM,
FreeBSDTM etc..
Since the electronic equipment introduced sets to implement electronics used by PMP price acquisition methods in the embodiment of the present invention
It is standby, so based on PMP price acquisition methods described in the embodiment of the present invention, those skilled in the art can understand this
The specific embodiment of the electronic equipment of embodiment and its various change form, so how real for the electronic equipment herein
Method in the existing embodiment of the present invention is no longer discussed in detail.As long as those skilled in the art implement in the embodiment of the present invention
Electronic equipment used by PMP price acquisition methods belongs to the range of the invention to be protected.
One or more embodiment provided in an embodiment of the present invention, at least realizes following technical effect or advantage:
By obtain the real time bid RTB launched in demand information and default historical time section for targeted advertisements master at
Hand over valence mumber evidence;The RTB to be processed for launching demand information is determined for compliance with from the RTB knock-down price data in default historical time section again
Knock-down price data;The processing that finally RTB knock-down price data to be processed are carried out with default price-adjusting strategy, generates and is directed to targeted advertisements master
PMP customize price, so as to based on characterization advertiser to launch demand dispensing demand information come to existing RTB strike a bargain
Valence mumber filters out the RTB knock-down price data for meeting and launching demand information according to being screened, then to the RTB that this part screens
Knock-down price data can obtain the price of the customization to PMP price based on the processing of default price-adjusting strategy, and obtained PMP price is not
It is arbitrarily manually set, historied, basic price can be according to, therefore can satisfy the anticipated price between media and client
Balance, will not fix a price too high, will not fix a price too low, so, improve the price accuracy of PMP price.
It should be understood by those skilled in the art that, the embodiment of the present invention can provide as method, system or computer program
Product.Therefore, complete hardware embodiment, complete software embodiment or reality combining software and hardware aspects can be used in the present invention
Apply the form of example.Moreover, it wherein includes the computer of computer usable program code that the present invention, which can be used in one or more,
The computer program implemented in usable storage medium (including but not limited to magnetic disk storage, CD-ROM, optical memory etc.) produces
The form of product.
The present invention be referring to according to the method for the embodiment of the present invention, the process of equipment (system) and computer program product
Figure and/or block diagram describe.It should be understood that every one stream in flowchart and/or the block diagram can be realized by computer program instructions
The combination of process and/or box in journey and/or box and flowchart and/or the block diagram.It can provide these computer programs
Instruct the processor of general purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices to produce
A raw machine, so that being generated by the instruction that computer or the processor of other programmable data processing devices execute for real
The device for the function of being specified in present one or more flows of the flowchart and/or one or more blocks of the block diagram.
These computer program instructions, which may also be stored in, is able to guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works, so that it includes referring to that instruction stored in the computer readable memory, which generates,
Enable the manufacture of device, the command device realize in one box of one or more flows of the flowchart and/or block diagram or
The function of being specified in multiple boxes.
These computer program instructions also can be loaded onto a computer or other programmable data processing device, so that counting
Series of operation steps are executed on calculation machine or other programmable devices to generate computer implemented processing, thus in computer or
The instruction executed on other programmable devices is provided for realizing in one or more flows of the flowchart and/or block diagram one
The step of function of being specified in a box or multiple boxes.
Although preferred embodiments of the present invention have been described, it is created once a person skilled in the art knows basic
Property concept, then additional changes and modifications may be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as
It selects embodiment and falls into all change and modification of the scope of the invention.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
The invention discloses A1, a kind of PMP price acquisition methods, comprising:
Obtain the dispensing demand information for being directed to targeted advertisements master;
Obtain the real time bid RTB knock-down price data in default historical time section;
Be determined for compliance with from the RTB knock-down price data in the default historical time section it is described launch demand information to from
Manage RTB knock-down price data;
The processing that the RTB knock-down price data to be processed are carried out with default price-adjusting strategy, generates and is directed to the targeted advertisements
Main privately owned trade market PMP customizes price.
A2, PMP price acquisition methods according to a1, it is described to obtain the dispensing demand information for being directed to targeted advertisements master,
Include:
It receives user and inputs information;
The determining dispensing demand information for being directed to the targeted advertisements master of information is inputted according to the user.
A3, PMP price acquisition methods according to a1, it is described to obtain the dispensing demand information for being directed to targeted advertisements master,
Include:
Obtain the advertisement release time for the targeted advertisements master, ground is launched in the advertisement for the targeted advertisements master
Domain, the dispensing demand information that one or more of group is launched for the advertisement of the targeted advertisements master.
A4, PMP price acquisition methods according to a1, the RTB conclusion of the business valence mumber obtained in default historical time section
According to, comprising:
The RTB log in the default historical time section is obtained from RTB system;
From the RTB log in the default historical time section, the RTB conclusion of the business valence mumber for belonging to the targeted advertisements master is determined
According to, and/or meet between the targeted advertisements master RTB knock-down price data of the advertiser of pre-set product similarity.
A5, PMP price acquisition methods according to a1, the RTB conclusion of the business valence mumber obtained in default historical time section
According to, comprising:
The RTB log in the default historical time section is obtained from RTB system;
From the RTB log in the default historical time section, the RTB conclusion of the business valence mumber for belonging to the targeted advertisements master is searched
According to;
If lookup result is sky, searched and the targeted advertisements from the RTB log in the default historical time section
Meet the RTB knock-down price data of the advertiser of pre-set product similarity between master.
A6, the PMP price acquisition methods according to A4 or A5, it is described that the RTB knock-down price data to be processed are carried out
The processing of default price-adjusting strategy, the PMP generated for the targeted advertisements master customize price, comprising:
Price statistics are carried out to the RTB knock-down price data to be processed, obtain RTB price statistics result;
Price adjustment processing is carried out to the RTB price statistics result, obtains selling for the PMP customization of the targeted advertisements master
Valence.
A7, the PMP price acquisition methods according to A6, it is described that price adjustment processing is carried out to the RTB price statistics result,
Obtain the PMP customization price for the targeted advertisements master, comprising:
Price adjustment processing is carried out to the RTB price statistics result according to default price adjustment parameter, is obtained wide for the target
It accuses main PMP and customizes price.
A8, the PMP price acquisition methods according to A6, it is described that price adjustment processing is carried out to the RTB price statistics result,
Obtain the PMP customization price for the targeted advertisements master, comprising:
Price adjustment processing is carried out to the RTB price statistics result according to default price adjustment parameter, is obtained wide for the target
Price after the main adjustment of announcement;
Obtain current time information;
Determine the corresponding price rebate ratio of the current time information;
Discount processing is carried out to price after the adjustment according to the price rebate ratio, is obtained for the targeted advertisements
Main PMP customizes price.
The invention discloses B9, a kind of PMP prices to obtain system, comprising:
Dispensing demand acquiring unit, for obtaining the dispensing demand information for being directed to targeted advertisements master;
Knock-down price data capture unit, for obtaining the real time bid RTB knock-down price data in default historical time section;
Knock-down price data determination unit, for determining symbol from the RTB knock-down price data in the default historical time section
Close the RTB knock-down price data to be processed for launching demand information;
Price adjustment unit, for the RTB knock-down price data to be processed to be carried out with the processing of default price-adjusting strategy, generation is directed to
The privately owned trade market PMP of the targeted advertisements master customizes price.
B10, the PMP price according to B9 obtain system, the dispensing demand acquiring unit, comprising:
Information receiving subelement inputs information for receiving user;
Information determines subelement, for inputting the determining dispensing need for being directed to the targeted advertisements master of information according to the user
Seek information.
B11, the PMP price according to B9 obtain system, described to obtain the dispensing demand information for being directed to targeted advertisements master,
Include:
Obtain the advertisement release time for the targeted advertisements master, ground is launched in the advertisement for the targeted advertisements master
Domain, the dispensing demand information that one or more of group is launched for the advertisement of the targeted advertisements master.
B12, the PMP price according to B9 obtain system, the knock-down price data capture unit, comprising:
First log acquisition subelement, for obtaining the RTB log in the default historical time section from RTB system;
First data determine subelement, for determining described in belonging to from the RTB log in the default historical time section
The RTB knock-down price data of targeted advertisements master, and/or meet between the targeted advertisements master advertiser of pre-set product similarity
RTB knock-down price data.
B13, the PMP price according to B9 obtain system, the knock-down price data capture unit, comprising:
Second log acquisition subelement, for obtaining the RTB log in the default historical time section from RTB system;
First data search subelement, for from the RTB log in the default historical time section, lookup to belong to described
The RTB knock-down price data of targeted advertisements master;
Second data search subelement, the lookup result for the first data search subelement is sky, from described pre-
If searching the advertiser's for meeting pre-set product similarity between the targeted advertisements master in the RTB log in historical time section
RTB knock-down price data.
B14, the PMP price according to B12 or B13 obtain system, the price adjustment unit, comprising:
Price statistics subelement obtains RTB price for carrying out price statistics to the RTB knock-down price data to be processed
Statistical result;
Price adjustment processing subelement is obtained for carrying out price adjustment processing to the RTB price statistics result for the target
The PMP of advertiser customizes price.
B15, PMP price according to b14 obtain system, and the price adjustment handles subelement, is specifically used for:
Price adjustment processing is carried out to the RTB price statistics result according to default price adjustment parameter, is obtained wide for the target
It accuses main PMP and customizes price.
B16, PMP price according to b14 obtain system, and the price adjustment handles subelement, is specifically used for:
Price adjustment processing is carried out to the RTB price statistics result according to default price adjustment parameter, is obtained wide for the target
Price after the main adjustment of announcement;
Obtain current time information;
Determine the corresponding price rebate ratio of the current time information;
Discount processing is carried out to price after the adjustment according to the price rebate ratio, is obtained for the targeted advertisements
Main PMP customizes price.
The invention discloses C17, a kind of computer readable storage medium, are stored thereon with computer program, the program quilt
Step described in any one of claim A1-A8 is realized when processor executes.
The invention discloses a kind of PMP prices of D18 to obtain equipment, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, the processor is realized in claim A1-A8 when executing described program appoints
Step described in one.
Claims (10)
1. a kind of PMP price acquisition methods characterized by comprising
Obtain the dispensing demand information for being directed to targeted advertisements master;
Obtain the real time bid RTB knock-down price data in default historical time section;
The to be processed of the dispensing demand information is determined for compliance with from the RTB knock-down price data in the default historical time section
RTB knock-down price data;
The processing that the RTB knock-down price data to be processed are carried out with default price-adjusting strategy, generates for the targeted advertisements master's
Privately owned trade market PMP customizes price.
2. PMP price acquisition methods as described in claim 1, which is characterized in that described to obtain the throwing for being directed to targeted advertisements master
Put demand information, comprising:
It receives user and inputs information;
The determining dispensing demand information for being directed to the targeted advertisements master of information is inputted according to the user.
3. PMP price acquisition methods as described in claim 1, which is characterized in that described to obtain the throwing for being directed to targeted advertisements master
Put demand information, comprising:
Obtain the advertisement release time for the targeted advertisements master, region, needle are launched in the advertisement for the targeted advertisements master
The dispensing demand information of one or more of group is launched to the advertisement of the targeted advertisements master.
4. PMP price acquisition methods as described in claim 1, which is characterized in that described to obtain in default historical time section
RTB knock-down price data, comprising:
The RTB log in the default historical time section is obtained from RTB system;
From the RTB log in the default historical time section, the RTB knock-down price data for belonging to the targeted advertisements master are determined,
And/or meet the RTB knock-down price data of the advertiser of pre-set product similarity between the targeted advertisements master.
5. PMP price acquisition methods as described in claim 1, which is characterized in that described to obtain in default historical time section
RTB knock-down price data, comprising:
The RTB log in the default historical time section is obtained from RTB system;
From the RTB log in the default historical time section, the RTB knock-down price data for belonging to the targeted advertisements master are searched;
If lookup result be sky, from the RTB log in the default historical time section search with the targeted advertisements master it
Between meet pre-set product similarity advertiser RTB knock-down price data.
6. PMP price acquisition methods as described in claim 4 or 5, which is characterized in that described to strike a bargain to the RTB to be processed
For valence mumber according to the processing for carrying out default price-adjusting strategy, the PMP generated for the targeted advertisements master customizes price, comprising:
Price statistics are carried out to the RTB knock-down price data to be processed, obtain RTB price statistics result;
Price adjustment processing is carried out to the RTB price statistics result, obtains the PMP customization price for the targeted advertisements master.
7. PMP price acquisition methods as claimed in claim 6, which is characterized in that it is described to the RTB price statistics result into
Row price adjustment processing obtains the PMP customization price for the targeted advertisements master, comprising:
Price adjustment processing is carried out to the RTB price statistics result according to default price adjustment parameter, is obtained for the targeted advertisements master
PMP customize price.
8. a kind of PMP price obtains system characterized by comprising
Dispensing demand acquiring unit, for obtaining the dispensing demand information for being directed to targeted advertisements master;
Knock-down price data capture unit, for obtaining the real time bid RTB knock-down price data in default historical time section;
Knock-down price data determination unit, for being determined for compliance with institute from the RTB knock-down price data in the default historical time section
State the RTB knock-down price data to be processed for launching demand information;
Unit of readjusting prices is generated for the RTB knock-down price data to be processed to be carried out with the processing of default price-adjusting strategy for described
The privately owned trade market PMP of targeted advertisements master customizes price.
9. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is held by processor
Step of any of claims 1-7 is realized when row.
10. a kind of PMP price obtains equipment, including memory, processor and storage can transport on a memory and on a processor
Capable computer program, which is characterized in that the processor is realized described in any one of claim 1-7 when executing described program
The step of.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110992114A (en) * | 2019-12-24 | 2020-04-10 | 斑马网络技术有限公司 | Advertisement transaction method, platform, electronic device and computer readable storage medium |
CN116580249A (en) * | 2023-06-06 | 2023-08-11 | 河北中废通拍卖有限公司 | Method, system and storage medium for classifying beats based on ensemble learning model |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090099902A1 (en) * | 2007-10-16 | 2009-04-16 | Mukesh Chatter | System for and method of automatic optimizing quantitative business objectives of sellers (advertisers) with synergistic pricing, promotions and advertisements, while simultaneously minimizing expenditure discovery and optimizing allocation of advertising channels that optimize such objectives |
CN104657879A (en) * | 2013-11-19 | 2015-05-27 | 雅虎公司 | User engagement-based contextually-dependent automated pricing for non-guaranteed delivery |
CN105741133A (en) * | 2016-01-26 | 2016-07-06 | 电子科技大学 | Stepping management method for online advertisement delivery |
CN106097020A (en) * | 2016-06-23 | 2016-11-09 | 上海觅星网络科技有限公司 | For the method and apparatus providing pricing strategy information |
CN106447394A (en) * | 2016-09-19 | 2017-02-22 | 东莞市东信网络技术有限公司 | Tidal algorithm based on intelligent bidding in RTB advertisement |
CN106960359A (en) * | 2017-02-10 | 2017-07-18 | 上海智子信息科技股份有限公司 | A kind of full-automatic bid optimization method and system calculated based on streaming |
CN107153970A (en) * | 2017-04-24 | 2017-09-12 | 郑州埃文计算机科技有限公司 | A kind of bid and budget method of estimation towards real time bid advertisement |
-
2017
- 2017-12-29 CN CN201711483597.XA patent/CN109993552A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20090099902A1 (en) * | 2007-10-16 | 2009-04-16 | Mukesh Chatter | System for and method of automatic optimizing quantitative business objectives of sellers (advertisers) with synergistic pricing, promotions and advertisements, while simultaneously minimizing expenditure discovery and optimizing allocation of advertising channels that optimize such objectives |
CN104657879A (en) * | 2013-11-19 | 2015-05-27 | 雅虎公司 | User engagement-based contextually-dependent automated pricing for non-guaranteed delivery |
CN105741133A (en) * | 2016-01-26 | 2016-07-06 | 电子科技大学 | Stepping management method for online advertisement delivery |
CN106097020A (en) * | 2016-06-23 | 2016-11-09 | 上海觅星网络科技有限公司 | For the method and apparatus providing pricing strategy information |
CN106447394A (en) * | 2016-09-19 | 2017-02-22 | 东莞市东信网络技术有限公司 | Tidal algorithm based on intelligent bidding in RTB advertisement |
CN106960359A (en) * | 2017-02-10 | 2017-07-18 | 上海智子信息科技股份有限公司 | A kind of full-automatic bid optimization method and system calculated based on streaming |
CN107153970A (en) * | 2017-04-24 | 2017-09-12 | 郑州埃文计算机科技有限公司 | A kind of bid and budget method of estimation towards real time bid advertisement |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110992114A (en) * | 2019-12-24 | 2020-04-10 | 斑马网络技术有限公司 | Advertisement transaction method, platform, electronic device and computer readable storage medium |
CN116580249A (en) * | 2023-06-06 | 2023-08-11 | 河北中废通拍卖有限公司 | Method, system and storage medium for classifying beats based on ensemble learning model |
CN116580249B (en) * | 2023-06-06 | 2024-02-20 | 河北中废通拍卖有限公司 | Method, system and storage medium for classifying beats based on ensemble learning model |
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