CN110264271A - A kind of accurate put-on method of regional advertisement based on internet big data - Google Patents
A kind of accurate put-on method of regional advertisement based on internet big data Download PDFInfo
- Publication number
- CN110264271A CN110264271A CN201910542950.XA CN201910542950A CN110264271A CN 110264271 A CN110264271 A CN 110264271A CN 201910542950 A CN201910542950 A CN 201910542950A CN 110264271 A CN110264271 A CN 110264271A
- Authority
- CN
- China
- Prior art keywords
- advertisement
- advertisements
- big data
- regional
- internet big
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
- G06Q30/0242—Determining effectiveness of advertisements
-
- 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
- G06Q30/0251—Targeted advertisements
- G06Q30/0269—Targeted advertisements based on user profile or attribute
-
- 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
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Accounting & Taxation (AREA)
- Development Economics (AREA)
- Strategic Management (AREA)
- Finance (AREA)
- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Economics (AREA)
- Marketing (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The present invention relates to advertisement analysis promotional technique field more particularly to a kind of accurate put-on methods of regional advertisement based on internet big data.The accurate put-on method of a kind of regional advertisement based on internet big data, comprising the following steps: all user images information in region are launched in S1, acquisition advertisement, are matched user behavior label and are obtained the temperature of the label；S2 goes forward side by side the sequence of row major grade according to the user behavior tag match default advertisement with the same characteristics, generates default set of advertisements；S3, all advertisement placement carriers default set of advertisements being thrown in the divided area.After the present invention carries out big data analysis to region or community, the high advertisement of region temperature is found, advertisement is finally accurately launched.
Description
Technical field
The present invention relates to advertisement analysis promotional technique field more particularly to a kind of regional advertisements based on internet big data
Accurate put-on method.
Background technique
With the arrival of big data era, is collected using Network Traceback Technology and arrange user information, matched using the web advertisement
Feed technique sends the different advertisement of content to different classes of user, so that people either use PC, movement or APP access
When webpage, the Commdity advertisement information that can always receive oneself demand or browse.Everything is all attributed to the fact that accurate dispensing technology,
The marketing sharp weapon for having become big data era are precisely launched at present, and one of application most popular in advertising sector at present.
The patent of invention that domestic applications number are CN201810532101.1 discloses a kind of method for delivering advertisement accurately, device
And medium, method is specifically disclosed to be calculated including the user data to pre-acquiring, determine user tag and flow label,
According to user tag, flow label and the magnitude for runing dispensing scheme, fixed condition is determined, according to user tag and launch item
Part carries out advertisement dispensing.Method for delivering advertisement accurately, device and the medium of the invention, can be improved the matching of flow and advertisement
Precision quickly and accurately carries out advertisement dispensing, improves rate of return on investment.
But if in the similar region of the mutually unison height of certain crowd's label, such as compact district CBD, the north in major line city
Zhong Guan-cun, the SOHO high up in the air in Shanghai in capital etc., the fining for carrying out advertisement to everyone are analyzed, often excessive consuming financial resources
Material resources accurately launch advertisement after can carrying out big data analysis to these regions or community.
Summary of the invention
In view of the problems of the existing technology the present invention, it is accurate to propose a kind of regional advertisement based on internet big data
Put-on method.
The technical scheme is that:
A kind of accurate put-on method of regional advertisement based on internet big data, comprising the following steps:
All user images information in region are launched in S1, acquisition advertisement, are matched user behavior label and are obtained the heat of the label
Degree；
S2 goes forward side by side the sequence of row major grade according to the user behavior tag match default advertisement with the same characteristics, generates pre-
If set of advertisements；
S3, all advertisement placement carriers default set of advertisements being thrown in the divided area.
Preferably, including: in the step S1
S1.1 acquires all user images information launched in region in the advertisement, analyzes the user images information, and right
The corresponding user behavior label of the personal images information matches of each user；
S1.2, it is for statistical analysis to the user behavior label, it obtains and launches every kind of user behavior in region in the advertisement
The temperature of label.
Preferably, the step S2 includes:
S2.1 grabs the default advertisement, the keyword of every ad content of acquisition and every advertisement in advertising database
Information, wherein the advertising information includes advertisement attributes, advertisement duration, advertisement link relationship；
S2.2 has the keyword of identical content according to the user behavior tag match, is found according to the keyword
Corresponding targeted advertisements；
S2.3 carries out priority ranking to the targeted advertisements are matched to according to the temperature, and generates the default set of advertisements.
Preferably, the advertisement attributes include advertisement owned enterprise, advertising object attribute.
Preferably, the step S2.3 includes:
S2.31 is added into the temperature numerical value of the corresponding temperature in the content of the targeted advertisements；
The advertisement is launched the targeted advertisements in region according to the temperature numerical value and sorted, generates the first advertisement by S2.32
Collection；
S2.33 judges whether there is two or more to contain competition in first set of advertisements according to the advertisement attributes
The targeted advertisements of situation extract all targeted advertisements with identical race condition if being judged as YES, will be described
That highest targeted advertisements of temperature numerical value are included in first set of advertisements again, generate the default set of advertisements；If being judged as
It is that then first set of advertisements is the default set of advertisements.
Preferably, the identical race condition is that the advertisement owned enterprise belongs to same type competitive enterprise or institute
It states advertising object attribute and belongs to same type competition article.
Preferably, to the targeted advertisements mark containing race condition of non-highest temperature in the step S2.33,
And it is sent into another advertisement and launches in regional analysis library.
Preferably, extracting the advertising information of the targeted advertisements of mark, and count, mark will be belonged to
The advertisement attributes carry out business early warning.
Preferably, if the matching of user behavior label described in step S2 carries out anti-less than the corresponding default advertisement
Feedback.
Preferably, the step S2 further include:
S2.4, judge whether it is restricted to the total duration of the default set of advertisements, if judging result be to the default set of advertisements
Total duration it is restricted, then judge whether the total duration of the default set of advertisements is more than regulation total duration, if judgement is more than described
It provides total duration, then the advertisement in the default set of advertisements is deleted according to the regulation total duration.
The invention has the following advantages:
1, preference temperature is analyzed according to user's preferences all in region, is sorted according to the advertisement temperature that temperature obtains preference, it is raw
It at default set of advertisements, finally launches at display terminal, no longer for personal ultimate attainment essence in preference high concentration region
Standardization analysis, but will appreciate that the advertisement accurately in preference high concentration region is launched.
2, the generic advertisement with competition property is rejected, guarantees the legitimate rights and interests of businessman.
3, total duration deletes default set of advertisements according to the rules, guarantees experience of the user when receiving advertisement and launching,
The not excessive time that user is occupied because of the dispensing of advertisement.
Detailed description of the invention
Fig. 1 is a kind of flow chart of the accurate put-on method of regional advertisement based on internet big data of the invention；
Fig. 2 is the flow chart of step S1 in the present invention；
Fig. 3 is the flow chart of step S2 in the present invention；
Fig. 4 is the flow chart of step S2.3 in the present invention；
Fig. 5 is the flow chart of step S2 in the embodiment of the present invention 2.
Specific embodiment
Following is a specific embodiment of the present invention in conjunction with the accompanying drawings, technical scheme of the present invention will be further described,
However, the present invention is not limited to these examples.
Embodiment 1
As shown in Figure 1, being a kind of flow chart of the accurate put-on method of regional advertisement based on internet big data.
A kind of accurate put-on method of regional advertisement based on internet big data, comprising the following steps:
All user images information in region are launched in S1, acquisition advertisement, are matched user behavior label and are obtained the heat of the label
Degree.
S2 goes forward side by side the sequence of row major grade according to the user behavior tag match default advertisement with the same characteristics, raw
At default set of advertisements.
S3, all advertisement placement carriers default set of advertisements being thrown in the divided area.
The technical program analyzes preference temperature according to user's preferences all in region, obtains the advertisement of preference according to temperature
Temperature sequence generates default set of advertisements, finally launches at display terminal, no longer for a in preference high concentration region
The ultimate attainment precision analysis of people, but will appreciate that the advertisement accurately in preference high concentration region is launched.
As shown in Fig. 2, specifically having refined the step S1 for the flow chart of step S1 in the present invention.
Include: in the step S1
S1.1 acquires all user images information launched in region in the advertisement, analyzes the user images information, and right
The corresponding user behavior label of the personal images information matches of each user.
S1.2, it is for statistical analysis to the user behavior label, it obtains and launches every kind of user in region in the advertisement
The temperature of behavior label.
As shown in figure 3, having obtained the advertisement in the step S1 for the flow chart of step S2 in the present invention and having thrown
The temperature of every kind of user behavior label in region is put, is just needed later the user behavior tag match of every kind of temperature is corresponding
Advertisement, selected advertisement is ranked up according to temperature after obtaining all correspondence advertisements, to generate default advertisement
Collection.
The step S2 includes:
S2.1 grabs the default advertisement, the keyword of every ad content of acquisition and every advertisement in advertising database
Information, wherein the advertising information includes advertisement attributes, advertisement duration, advertisement link relationship.
S2.2 has the keyword of identical content according to the user behavior tag match, according to the keyword
Find corresponding targeted advertisements.
S2.3 carries out priority ranking to the targeted advertisements are matched to according to the temperature, and generates described default wide
Accuse collection.
Further, the advertisement attributes include advertisement owned enterprise, advertising object attribute.Wherein, the advertisement category
Property the later period will be used to reject with competition property advertisement, with protect investment advertisement businessman's interests.
As shown in figure 4, for the flow chart of step S2.3 in the present invention.The step S2.3 includes:
S2.31 is added into the temperature numerical value of the corresponding temperature in the content of the targeted advertisements.
The advertisement is launched the targeted advertisements in region according to the temperature numerical value and sorted, generates first by S2.32
Set of advertisements.
S2.33 judges in first set of advertisements whether to contain with two or more according to the advertisement attributes
The targeted advertisements of race condition extract all targeted advertisements with identical race condition if being judged as YES, will
Described that highest targeted advertisements of temperature numerical value are included in first set of advertisements again, generate the default set of advertisements；If sentencing
It is yes for breaking, then first set of advertisements is the default set of advertisements.
The identical race condition is that the advertisement owned enterprise belongs to same type competitive enterprise or advertisement a surname
It passes object attribute and belongs to same type competition article.
To the targeted advertisements mark containing race condition of non-highest temperature in the step S2.33, and it is sent into another
One advertisement is launched in regional analysis library.
Further, the advertising information of the targeted advertisements of mark is extracted, and is counted, mark will be belonged to
The advertisement attributes carry out business early warning.
Further, if the matching of user behavior label described in step S2 carries out anti-less than the corresponding default advertisement
Feedback.
Embodiment 2
Based on embodiment 1, difference from Example 1 is:
As shown in figure 5, being the flow chart of step S2 of the present invention.Under some scenes, the set of advertisements shown at the terminal be will receive
Provide the limitation of total duration, in this case, it is necessary to carry out from the total duration of default set of advertisements with regulation total duration
Determine, if the total duration time-out of default advertisement, needs to carry out advertisement to the default set of advertisements to delete.
The step S2 further include:
S2.4, judge whether it is restricted to the total duration of the default set of advertisements, if judging result be to the default set of advertisements
Total duration it is restricted, then judge whether the total duration of the default set of advertisements is more than regulation total duration, if judgement is more than described
It provides total duration, then the advertisement in the default set of advertisements is deleted according to the regulation total duration.
It should be understood by those skilled in the art that foregoing description and the embodiment of the present invention shown in the drawings are only used as illustrating
And it is not intended to limit the present invention.The purpose of the present invention completely effectively realizes.Function and structural principle of the invention is in reality
It applies and shows and illustrate in example, under without departing from the principle, embodiments of the present invention can have any deformation or modification.
Claims (10)
1. a kind of accurate put-on method of regional advertisement based on internet big data, which comprises the following steps:
All user images information in region are launched in S1, acquisition advertisement, are matched user behavior label and are obtained the heat of the label
Degree；
S2 goes forward side by side the sequence of row major grade according to the user behavior tag match default advertisement with the same characteristics, generates pre-
If set of advertisements；
S3, all advertisement placement carriers default set of advertisements being thrown in the divided area.
2. the accurate put-on method of a kind of regional advertisement based on internet big data according to claim 1, feature exist
In including: in the step S1
S1.1 acquires all user images information launched in region in the advertisement, analyzes the user images information, and right
The corresponding user behavior label of the personal images information matches of each user；
S1.2, it is for statistical analysis to the user behavior label, it obtains and launches every kind of user behavior in region in the advertisement
The temperature of label.
3. the accurate put-on method of a kind of regional advertisement based on internet big data according to claim 1, feature exist
In the step S2 includes:
S2.1 grabs the default advertisement, the keyword of every ad content of acquisition and every advertisement in advertising database
Information, wherein the advertising information includes advertisement attributes, advertisement duration, advertisement link relationship；
S2.2 has the keyword of identical content according to the user behavior tag match, is found according to the keyword
Corresponding targeted advertisements；
S2.3 carries out priority ranking to the targeted advertisements are matched to according to the temperature, and generates the default set of advertisements.
4. the accurate put-on method of a kind of regional advertisement based on internet big data according to claim 3, feature exist
In the advertisement attributes include advertisement owned enterprise, advertising object attribute.
5. the accurate put-on method of a kind of regional advertisement based on internet big data according to claim 3, feature exist
In the step S2.3 includes:
S2.31 is added into the temperature numerical value of the corresponding temperature in the content of the targeted advertisements；
The advertisement is launched the targeted advertisements in region according to the temperature numerical value and sorted, generates the first advertisement by S2.32
Collection；
S2.33 judges whether there is two or more to contain competition in first set of advertisements according to the advertisement attributes
The targeted advertisements of situation extract all targeted advertisements with identical race condition if being judged as YES, will be described
That highest targeted advertisements of temperature numerical value are included in first set of advertisements again, generate the default set of advertisements；If being judged as
It is that then first set of advertisements is the default set of advertisements.
6. the accurate put-on method of a kind of regional advertisement based on internet big data according to claim 5, feature exist
In the identical race condition is that the advertisement owned enterprise belongs to same type competitive enterprise or the advertising object category
Property belong to same type competition article.
7. the accurate put-on method of a kind of regional advertisement based on internet big data according to claim 5, feature exist
In to the targeted advertisements mark containing race condition of non-highest temperature in the step S2.33, and being sent into another advertisement
It launches in regional analysis library.
8. the accurate put-on method of a kind of regional advertisement based on internet big data according to claim 7, feature exist
In, extract the advertising information of the targeted advertisements of mark, and count, will belong to the advertisement attributes of mark into
Industry business early warning.
9. the accurate put-on method of a kind of regional advertisement based on internet big data according to claim 1, feature exist
In if the matching of user behavior label described in step S2 is fed back less than the corresponding default advertisement.
10. the accurate put-on method of a kind of regional advertisement based on internet big data according to claim 5, feature exist
In the step S2 further include:
S2.4, judge whether it is restricted to the total duration of the default set of advertisements, if judging result be to the default set of advertisements
Total duration it is restricted, then judge whether the total duration of the default set of advertisements is more than regulation total duration, if judgement is more than described
It provides total duration, then the advertisement in the default set of advertisements is deleted according to the regulation total duration.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910542950.XA CN110264271A (en) | 2019-06-21 | 2019-06-21 | A kind of accurate put-on method of regional advertisement based on internet big data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910542950.XA CN110264271A (en) | 2019-06-21 | 2019-06-21 | A kind of accurate put-on method of regional advertisement based on internet big data |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN110264271A true CN110264271A (en) | 2019-09-20 |
Family
ID=67920379
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910542950.XA Pending CN110264271A (en) | 2019-06-21 | 2019-06-21 | A kind of accurate put-on method of regional advertisement based on internet big data |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110264271A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111263203A (en) * | 2020-02-28 | 2020-06-09 | 宋秀梅 | Video advertisement push priority analysis system |
| CN111261292A (en) * | 2020-02-08 | 2020-06-09 | 管伟 | Big data-based basic community health management system and method |
| CN111292136A (en) * | 2020-03-09 | 2020-06-16 | 李维 | Mobile advertisement screening and putting method and system |
| CN111598630A (en) * | 2020-06-30 | 2020-08-28 | 成都新潮传媒集团有限公司 | Cell portrait construction method and device and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107169785A (en) * | 2017-03-31 | 2017-09-15 | 北京奇艺世纪科技有限公司 | A kind of advertisement placement method and device |
| CN108062687A (en) * | 2017-12-20 | 2018-05-22 | 广州容骏信息科技有限公司 | A kind of accurate advertisement jettison system based on internet |
| CN108846694A (en) * | 2018-06-06 | 2018-11-20 | 厦门集微科技有限公司 | A kind of elevator card put-on method and device, computer readable storage medium |
| KR20180134021A (en) * | 2017-06-08 | 2018-12-18 | 오드컨셉 주식회사 | Method, apparatus and computer program for providing advertising informations based on images |
-
2019
- 2019-06-21 CN CN201910542950.XA patent/CN110264271A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107169785A (en) * | 2017-03-31 | 2017-09-15 | 北京奇艺世纪科技有限公司 | A kind of advertisement placement method and device |
| KR20180134021A (en) * | 2017-06-08 | 2018-12-18 | 오드컨셉 주식회사 | Method, apparatus and computer program for providing advertising informations based on images |
| CN108062687A (en) * | 2017-12-20 | 2018-05-22 | 广州容骏信息科技有限公司 | A kind of accurate advertisement jettison system based on internet |
| CN108846694A (en) * | 2018-06-06 | 2018-11-20 | 厦门集微科技有限公司 | A kind of elevator card put-on method and device, computer readable storage medium |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111261292A (en) * | 2020-02-08 | 2020-06-09 | 管伟 | Big data-based basic community health management system and method |
| CN111263203A (en) * | 2020-02-28 | 2020-06-09 | 宋秀梅 | Video advertisement push priority analysis system |
| CN111292136A (en) * | 2020-03-09 | 2020-06-16 | 李维 | Mobile advertisement screening and putting method and system |
| CN111292136B (en) * | 2020-03-09 | 2021-03-16 | 广东万唯计算机服务有限公司 | Mobile advertisement screening and putting method and system |
| CN111598630A (en) * | 2020-06-30 | 2020-08-28 | 成都新潮传媒集团有限公司 | Cell portrait construction method and device and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110264271A (en) | A kind of accurate put-on method of regional advertisement based on internet big data | |
| CA2682585C (en) | Open profile content identification | |
| CN104281622B (en) | Information recommendation method and device in a kind of social media | |
| CN104298719B (en) | Category division, advertisement placement method and the system of user is carried out based on Social behaviors | |
| CN102662950B (en) | Active advertisement generation method based on Internet picture | |
| CN108028962A (en) | Video service condition information is handled to launch advertisement | |
| CN110278466B (en) | Short video advertisement putting method, device and equipment | |
| US9401097B2 (en) | Method and apparatus for providing emotion expression service using emotion expression identifier | |
| CN105869008A (en) | Targeted delivery method and device of advertisement | |
| CN101431524A (en) | Method and device for implementing oriented network advertisement delivery | |
| CN104751354B (en) | A kind of advertisement crowd screening technique | |
| CN103177384A (en) | Network advertisement putting method based on user interest spectrum | |
| US11907644B2 (en) | Detecting compatible layouts for content-based native ads | |
| TW202139100A (en) | Method and system for matching location-based content | |
| CN103577478A (en) | Web page pushing method and system | |
| CN110232605A (en) | A kind of crowd's method for delivering advertisement accurately and system based on internet big data | |
| JP6731826B2 (en) | Extraction device, extraction method, and extraction program | |
| JP4859893B2 (en) | Advertisement distribution apparatus, advertisement distribution method, and advertisement distribution control program | |
| KR100876214B1 (en) | Apparatus and method for context aware advertising and computer readable medium processing the method | |
| KR20150121370A (en) | Advertisement service device targeting recommended advertisement based on real-time advertisement analysis, user equipment receiving recommended advertisement based on real-time advertisement analysis, method for targeting recommended advertisement based on real-time advertisement analysis and computer readable medium having computer program recorded therefor | |
| CN111475727A (en) | Floor page pushing method and device | |
| JP6341899B2 (en) | Advertisement system and advertisement delivery method | |
| CN108810577B (en) | User portrait construction method and device and electronic equipment | |
| CN111274492A (en) | Information recommendation method, information recommendation device and computer readable storage medium | |
| CN100555283C (en) | A kind of directly at the dissemination method and the system of user's relevant information |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190920 |
|
| RJ01 | Rejection of invention patent application after publication |