CN108733846A - A kind of internet hunt advertisement bidding optimization algorithm - Google Patents
A kind of internet hunt advertisement bidding optimization algorithm Download PDFInfo
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- CN108733846A CN108733846A CN201810614924.9A CN201810614924A CN108733846A CN 108733846 A CN108733846 A CN 108733846A CN 201810614924 A CN201810614924 A CN 201810614924A CN 108733846 A CN108733846 A CN 108733846A
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- 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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Abstract
The invention discloses a kind of internet hunt advertisement bidding optimization algorithms, include the following steps：S1, advertisement search is carried out:The matching advertisement containing word therewith is searched out by inputting word；S2, optimization of bidding is carried out：The link of one bid price and a non-bid price link are generated to each of S1 matching advertisements, wherein non-bid price is less than bid price；S3, keyword judgement is carried out：It is automatic to activate bid price link when user clicks matching advertisement if the input word in S1 is the keyword of bidding for matching advertisement；If the input word in S1 is the non-keyword of bidding for matching advertisement, when user clicks matching advertisement, non-bid price is activated to link automatically.The present invention optimizes the bid price of each advertisement so that advertisement reduces the cost of advertisement dispensing, substantially increase the profit margin of advertisement putting business when being clicked, by the judgement to search terms in the case where not influencing advertisement dispensing range.
Description
Technical field
The present invention relates to Internet advertising search technique field, specially a kind of internet hunt advertisement bidding optimization is calculated
Method.
Background technology
With the development of social multimedia propagation, the importance of advertisement has obtained greatly being promoted, more and more enterprises
The product advertising under its house flag is issued by internet with company, purpose known to the public common people is allowed to reach.
A usual larger web portal pages, the advertisement that can carry out many incorporated businesses is launched, in order to realize dispensing advertisement
Maximized interests can be brought to company, thus with regard to needing to carry out advertisement bidding to the advertisement of dispensing, so-called advertisement bidding, just
It is the click price of oneself setting advertisement, it is every once to click, it is necessary to pay one click to the web portal pages for launching advertisement
Price.
In the prior art, a word is inputted in the search engine of web portal pages, will be searched and all be contained this
The advertisement of word, but there are two kinds of situations for search terms：First, the word is the keyword purchased in advance, keyword is most can
The word for embodying the ad content needs to be bought in advance；Second is that the word is only a secondary word in ad content
Language can not embody ad content well.
When the advertisement searched out using two kinds of situations is clicked by user, advertisement putting business is required for primary to webpage payment
Click price, if but search terms when not being keyword, the ad content searched may not be that user wants to search
The advertisement arrived, if user clicks the advertisement, advertiser not only needs to pay advertising rates, and the advertisement is for user
For do not make great sense, so gray interests will be greatly diminished.
Invention content
The purpose of the present invention is to provide a kind of internet hunt advertisement bidding optimization algorithms, to solve above-mentioned background technology
The problem of middle proposition.
To achieve the above object, the present invention provides the following technical solutions：
A kind of internet hunt advertisement bidding optimization algorithm, includes the following steps：
S1, advertisement search is carried out:The matching advertisement containing word therewith is searched out by inputting word；
S2, optimization of bidding is carried out：The link of one bid price and a non-valence of bidding are generated to each of S1 matching advertisements
Lattice link, wherein non-bid price is less than bid price；
S3, keyword judgement is carried out：
It is automatic to activate when user clicks matching advertisement if the input word in S1 is the keyword of bidding for matching advertisement
Bid price links；
It is automatic to swash when user clicks matching advertisement if the input word in S1 is the non-keyword of bidding for matching advertisement
Non- bid price link living.
Preferably, keyword of bidding is the keyword that advertisement putting business is in advance corresponding advertisement purchase.
Preferably, bid price is automatically updated with click volume increase.
Preferably, non-bid price is a motionless price.
Compared with prior art, the beneficial effects of the invention are as follows：
The present invention optimizes the bid price of each advertisement so that advertisement is when being clicked, by search terms
Judgement, if search terms be the advertisement purchase keyword so that advertisement putting business to web portal pages pay advertisement it is competing
Valence price；If search terms are not the keywords that the advertisement is bought, so that advertisement putting business pays ratio to web portal pages
The lower non-bid price of advertisement bidding price, do not influence advertisement launch range in the case of, reduce advertisement dispensing at
This, substantially increases the profit margin of advertisement putting business.
Description of the drawings
Fig. 1 is the flow diagram of the method for the present invention.
Specific implementation mode
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation describes, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Referring to Fig. 1, the present invention provides a kind of technical solution：
A kind of internet hunt advertisement bidding optimization algorithm, includes the following steps：
S1, advertisement search is carried out:The matching advertisement containing word therewith is searched out by inputting word；
Input a word in the search engine input terminal of web portal pages, carry out the advertisement search of internet, it is all containing
The advertisement of identical word all can be searched out, be matched.
S2, optimization of bidding is carried out：The link of one bid price and a non-valence of bidding are generated to each of S1 matching advertisements
Lattice link so that the bid price link and the link of non-bid price of each matching advertisement are associated with the advertisement respectively and competing
The link of valence price is used for paying bid price to web portal pages, and non-bid price link is used for paying non-valence of bidding to web portal pages
Lattice.
Wherein, bid price is automatically updated with click volume increase, and click volume is higher, and advertisement bidding price is also higher, non-competing
Valence price is a motionless price, and non-bid price is less than bid price, for example the bid price that advertisement is clicked every time is 1 yuan,
The non-bid price paid every time can then be set as 0.01 yuan, because of the corresponding advertisement search of non-bid price, to the advertisement
Quotient benefit does not provide great help, so the non-link of bidding of this low cost is generated, it is wide to substantially reduce
It accuses and launches cost.
S3, keyword judgement is carried out：
Keyword of bidding is the keyword that advertisement putting business is in advance corresponding advertisement purchase, this keyword is exactly to best embody
The advertisement most proper word to be expressed, when generally carrying out advertisement search with the keyword, the content of the advertisement will necessarily
Be the user it is to be understood that content, have prodigious help for gray advertisement promotion.
If the input word in S1 is the keyword of bidding for matching advertisement, user is corresponding when clicking the matching advertisement
, it activates the bid price to link automatically, the bid price of the advertisement is paid to web portal pages；
If the input word in S1 is the non-keyword of bidding for matching advertisement, user is corresponding when clicking matching advertisement
, the non-bid price link is activated automatically, and the non-bid price of the advertisement is paid to web portal pages, greatly reduces advertisement dispensing
Cost.
It although an embodiment of the present invention has been shown and described, for the ordinary skill in the art, can be with
Understanding without departing from the principles and spirit of the present invention can carry out these embodiments a variety of variations, modification, replace
And modification, the scope of the present invention is defined by the appended.
Claims (4)
1. a kind of internet hunt advertisement bidding optimization algorithm, which is characterized in that include the following steps：
S1, advertisement search is carried out:The matching advertisement containing word therewith is searched out by inputting word；
S2, optimization of bidding is carried out：The link of one bid price and a non-bid price chain are generated to each of S1 matching advertisements
It connects, wherein non-bid price is less than bid price；
S3, keyword judgement is carried out：
If the input word in S1 is the keyword of bidding for matching advertisement, when user clicks matching advertisement, automatic activation is bidded
Price links；
If the input word in S1 is the non-keyword of bidding for matching advertisement, when user clicks matching advertisement, activate automatically non-
Bid price links.
2. a kind of internet hunt advertisement bidding optimization algorithm according to claim 1, it is characterised in that：It bids keyword
It is the keyword of corresponding advertisement purchase in advance for advertisement putting business.
3. a kind of internet hunt advertisement bidding optimization algorithm according to claim 1, it is characterised in that：Bid price with
Click volume increase automatically updates.
4. a kind of internet hunt advertisement bidding optimization algorithm according to claim 1, it is characterised in that：Non- bid price
For a motionless price.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810614924.9A CN108733846A (en) | 2018-06-14 | 2018-06-14 | A kind of internet hunt advertisement bidding optimization algorithm |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810614924.9A CN108733846A (en) | 2018-06-14 | 2018-06-14 | A kind of internet hunt advertisement bidding optimization algorithm |
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| Publication Number | Publication Date |
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| CN108733846A true CN108733846A (en) | 2018-11-02 |
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| CN201810614924.9A Pending CN108733846A (en) | 2018-06-14 | 2018-06-14 | A kind of internet hunt advertisement bidding optimization algorithm |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111651722A (en) * | 2020-04-08 | 2020-09-11 | 西窗科技(苏州)有限公司 | Risk assessment method and platform for advertisement putting effect of advertiser |
| CN112182385A (en) * | 2020-09-28 | 2021-01-05 | 苏州远迪网络科技有限公司 | Network bidding popularization keyword optimization method and system |
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| CN102567398A (en) * | 2010-12-30 | 2012-07-11 | 阿里巴巴集团控股有限公司 | Method and system for feeding back keyword estimated value |
| CN103136311A (en) * | 2011-12-05 | 2013-06-05 | 微软公司 | Combined optimization of tender and budget allocation in paid search |
| CN104142945A (en) * | 2013-05-08 | 2014-11-12 | 阿里巴巴集团控股有限公司 | Search method and device based on search term |
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2018
- 2018-06-14 CN CN201810614924.9A patent/CN108733846A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101625683A (en) * | 2008-07-09 | 2010-01-13 | 精实万维软件（北京）有限公司 | Method for selecting bidding advertisement keyword during release of search engine bidding advertisement |
| CN102567398A (en) * | 2010-12-30 | 2012-07-11 | 阿里巴巴集团控股有限公司 | Method and system for feeding back keyword estimated value |
| CN103136311A (en) * | 2011-12-05 | 2013-06-05 | 微软公司 | Combined optimization of tender and budget allocation in paid search |
| CN104142945A (en) * | 2013-05-08 | 2014-11-12 | 阿里巴巴集团控股有限公司 | Search method and device based on search term |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111651722A (en) * | 2020-04-08 | 2020-09-11 | 西窗科技(苏州)有限公司 | Risk assessment method and platform for advertisement putting effect of advertiser |
| CN111651722B (en) * | 2020-04-08 | 2023-08-04 | 西窗科技(苏州)有限公司 | Risk assessment method and platform for advertisement putting effect of advertiser |
| CN112182385A (en) * | 2020-09-28 | 2021-01-05 | 苏州远迪网络科技有限公司 | Network bidding popularization keyword optimization method and system |
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Application publication date: 20181102 |
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