CN112651776A - Electronic advertisement pushing method and system based on big data analysis - Google Patents
Electronic advertisement pushing method and system based on big data analysis Download PDFInfo
- Publication number
- CN112651776A CN112651776A CN202011542131.4A CN202011542131A CN112651776A CN 112651776 A CN112651776 A CN 112651776A CN 202011542131 A CN202011542131 A CN 202011542131A CN 112651776 A CN112651776 A CN 112651776A
- Authority
- CN
- China
- Prior art keywords
- people
- background
- electronic
- type
- advertisements
- 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
- 238000007405 data analysis Methods 0.000 title claims abstract description 44
- 238000000034 method Methods 0.000 title claims abstract description 30
- 238000010191 image analysis Methods 0.000 claims description 19
- 230000000694 effects Effects 0.000 description 4
- 238000004458 analytical method Methods 0.000 description 3
- 241000272041 Naja Species 0.000 description 2
- 230000001815 facial effect Effects 0.000 description 2
- 239000004973 liquid crystal related substance Substances 0.000 description 2
- 238000003909 pattern recognition Methods 0.000 description 2
- 230000007547 defect Effects 0.000 description 1
- 238000002716 delivery method Methods 0.000 description 1
- 229910052754 neon Inorganic materials 0.000 description 1
- GKAOGPIIYCISHV-UHFFFAOYSA-N neon atom Chemical compound [Ne] GKAOGPIIYCISHV-UHFFFAOYSA-N 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
Images
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
- G06Q30/0251—Targeted advertisements
- G06Q30/0257—User requested
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/172—Classification, e.g. identification
- G06V40/173—Classification, e.g. identification face re-identification, e.g. recognising unknown faces across different face tracks
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Accounting & Taxation (AREA)
- Strategic Management (AREA)
- Finance (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Development Economics (AREA)
- Theoretical Computer Science (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Multimedia (AREA)
- Entrepreneurship & Innovation (AREA)
- Human Computer Interaction (AREA)
- Game Theory and Decision Science (AREA)
- Oral & Maxillofacial Surgery (AREA)
- Economics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- Image Processing (AREA)
- Image Analysis (AREA)
Abstract
The invention discloses an electronic advertisement pushing method and system based on big data analysis, wherein the method comprises the following steps: s1, acquiring an image of a camera installed at the electronic billboard and sending the image to a background, wherein the camera is used for shooting people near the electronic billboard; s2, the background analyzes the image, each person part is selected from the frame, and then the body type and the face information of the person are extracted from each person part selected by the frame; s3, the background analyzes big data based on the extracted body types and face information of the people to obtain the proportions of different types of people; s4, adjusting the electronic advertisement pushing by the background based on the obtained proportions of different types of people, wherein the adjustment rule is as follows: the background stores a plurality of electronic advertisements, each electronic advertisement corresponds to a person type, and when the background adjusts the pushing of the electronic advertisements, the occupation ratio of the corresponding type of advertisements is adjusted based on the obtained proportions of the different types of persons.
Description
Technical Field
The invention relates to the technical field of electronic advertisements, in particular to an electronic advertisement pushing method and system based on big data analysis.
Background
Electronic advertising (Electronic advertising) refers to an advertising format that conveys advertising information in Electronic information technology, Electronic media. Electronic advertisements are a new advertising form, and are quietly prosperous and brisk in development with the development of the Internet. Many companies also create their own Web servers, thereby promoting their own image and exposing the product's Home Page to Internet users all over the world. The role of electronic advertising is gradually being recognized by people in China, and some enterprises have tried to build their own Home Page on the Internet. In our daily life, the forms of advertisements are various, including those by means of publications such as newspapers, magazines and leaflets, those by means of radio wave media such as radio and television, and other forms such as roadside advertising boards and neon lamps.
The advertisement pushing method is widely used due to the fact that the advertisement pushing method is simple to operate and convenient to use, but the attribute of people who watch the advertisement is not considered, and the actual advertisement effect is not ideal.
Disclosure of Invention
The invention provides an electronic advertisement pushing method and system based on big data analysis, aiming at solving the technical defects that in the prior art, the attribute of people watching advertisements is not considered, and the actual advertisement effect is not very ideal.
According to one aspect of the present invention, in order to solve the technical problem, an electronic advertisement pushing method based on big data analysis is adopted, which includes the following steps:
s1, acquiring an image of a camera installed at the electronic billboard and sending the image to a background, wherein the camera is used for shooting people near the electronic billboard;
s2, the background analyzes the image, each person part is selected from the frame, and then the body type and the face information of the person are extracted from each person part selected by the frame;
s3, the background analyzes big data based on the extracted body types and face information of the people to obtain the proportions of different types of people;
s4, adjusting the electronic advertisement pushing by the background based on the obtained proportions of different types of people, wherein the adjustment rule is as follows: the background stores a plurality of electronic advertisements, each electronic advertisement corresponds to a person type, and when the background adjusts the pushing of the electronic advertisements, the occupation ratio of the corresponding type of advertisements is adjusted based on the obtained proportions of the different types of persons.
Further, in the electronic advertisement pushing method based on big data analysis of the present invention, the different types of people are distinguished according to the following classifications: children, young men, young women, strong men, strong women, and the elderly.
Further, in the electronic advertisement pushing method based on big data analysis of the present invention, the adjusting the percentage of the corresponding type of advertisement based on the obtained proportions of the different types of people specifically means: in the background, a preset proportion is preset for each type of people, then the degree of each type of people exceeding the corresponding preset proportion is calculated according to the obtained proportions of different types of people, the occupation ratio of the corresponding type of advertisements is adjusted according to the degree of exceeding the corresponding preset proportion, and the larger the degree of exceeding the corresponding preset proportion is, the higher the occupation ratio of the corresponding type of advertisements is.
Further, in the electronic advertisement pushing method based on big data analysis of the present invention, the adjusting the percentage of the corresponding type of advertisement based on the obtained proportions of the different types of people specifically means: in the background, a preset proportion is preset for each type of people, then the degree of each type of people exceeding the corresponding preset proportion is calculated according to the obtained proportions of different types of people, the occupation ratio of the corresponding type of advertisements is adjusted according to the degree of exceeding the corresponding preset proportion, only one or more types of advertisements with the highest degree of exceeding the corresponding preset proportion are played, and the types of the played advertisements are smaller than the total number of the types.
Further, in the electronic advertisement pushing method based on big data analysis of the present invention, the pushing method of the electronic advertisement is divided into cycles, in each cycle, the camera is collected once every preset interval, the background performs image analysis on one or more images at preset intervals each time, and then adjusts the pushing of the electronic advertisement in the next preset duration based on the data of the image analysis.
According to another aspect of the present invention, to solve the technical problem, the present invention further provides an electronic advertisement delivery system based on big data analysis, including the following modules:
the system comprises an image acquisition module, a background and a display module, wherein the image acquisition module is used for acquiring an image of a camera arranged at an electronic billboard and sending the image to the background, and the camera is used for shooting people near the electronic billboard;
the image analysis module is used for controlling the background to carry out image analysis on the image, selecting each person part from the frame, and then extracting the body type and the face information of the person from each person part selected by the frame;
the big data analysis module is used for controlling the background to carry out big data analysis based on the extracted body types of the people and the face information to obtain the proportions of the people of different types;
the advertisement pushing module is used for controlling the background to adjust the electronic advertisement pushing based on the obtained proportions of different types of personnel, and the adjusting rule is as follows: the background stores a plurality of electronic advertisements, each electronic advertisement corresponds to a person type, and when the background adjusts the pushing of the electronic advertisements, the occupation ratio of the corresponding type of advertisements is adjusted based on the obtained proportions of the different types of persons.
Further, in the electronic advertisement delivery system based on big data analysis of the present invention, the different types of people are distinguished according to the following categories: children, young men, young women, strong men, strong women, and the elderly.
Further, in the electronic advertisement pushing system based on big data analysis of the present invention, the adjusting the percentage of the corresponding type of advertisement based on the obtained proportions of the different types of people specifically means: in the background, a preset proportion is preset for each type of people, then the degree of each type of people exceeding the corresponding preset proportion is calculated according to the obtained proportions of different types of people, the occupation ratio of the corresponding type of advertisements is adjusted according to the degree of exceeding the corresponding preset proportion, and the larger the degree of exceeding the corresponding preset proportion is, the higher the occupation ratio of the corresponding type of advertisements is.
Further, in the electronic advertisement pushing system based on big data analysis of the present invention, the adjusting the percentage of the corresponding type of advertisement based on the obtained proportions of the different types of people specifically means: in the background, a preset proportion is preset for each type of people, then the degree of each type of people exceeding the corresponding preset proportion is calculated according to the obtained proportions of different types of people, the occupation ratio of the corresponding type of advertisements is adjusted according to the degree of exceeding the corresponding preset proportion, only one or more types of advertisements with the highest degree of exceeding the corresponding preset proportion are played, and the types of the played advertisements are smaller than the total number of the types.
Further, in the electronic advertisement pushing system based on big data analysis of the present invention, the pushing method of the electronic advertisement is divided into cycles, in each cycle, the camera is collected once every preset interval, the background performs image analysis on one or more images at preset intervals each time, and then adjusts the pushing of the electronic advertisement in the next preset duration based on the data of the image analysis.
The electronic advertisement pushing method and the electronic advertisement pushing system based on big data analysis have the following technical effects: the invention obtains the occupation ratio of different personnel types through the acquisition and analysis of the image, and adjusts the occupation ratio of the corresponding type advertisement.
Drawings
FIG. 1 is a flowchart of an embodiment of a big data analysis-based electronic advertisement delivery method according to the present invention;
FIG. 2 is a flowchart of an embodiment of the big data analysis-based electronic advertisement delivery system of the present invention.
Detailed Description
In order to make the technical means, the original characteristics, the achieved purposes and the effects of the invention easily understood, the invention is further described below with reference to the specific embodiments and the attached drawings, but the following embodiments are only the preferred embodiments of the invention, and not all embodiments. Based on the embodiments in the implementation, other embodiments obtained by those skilled in the art without any creative efforts belong to the protection scope of the present invention.
Specific embodiments of the present invention are described below with reference to the accompanying drawings.
Referring to fig. 1, fig. 1 is a flowchart of an embodiment of an electronic advertisement pushing method based on big data analysis according to the present invention, and the electronic advertisement pushing method based on big data analysis of the present embodiment includes the following steps:
s1, acquiring an image of a camera installed at the electronic billboard and sending the image to a background, wherein the camera is used for shooting people near the electronic billboard. The electronic billboard can adopt an LCD display screen, an LED display screen, a liquid crystal display screen and the like, the background can be a host located locally or a remote server or a cloud server and the like, the camera can be one part of the electronic billboard, namely the camera is installed on the electronic billboard, and the camera and the electronic billboard can also be two independent devices or parts. For example, an electronic billboard located on a square, a camera shoots people on the square.
S2, the background analyzes the image, each person part is selected from the frame, and then the body type and the face information of the person are extracted from the selected person parts. The body type may be height, body size, and the like, for example, and the face information may adopt age-related face features, including: eyes, nose, mouth, face and the like can be referred to in detail as "geometric facial feature analysis for age-related face recognition", Shanghai university of transportation image processing and pattern recognition institute, Naja, and the like, and age recognition is a mature technology, and the present invention is not limited thereto.
And S3, the background performs big data analysis based on the extracted body types and face information of the people to obtain the proportions of the people of different types. Different types of people are distinguished according to the following classifications: children, young men, young women, strong men, strong women, and the elderly, this type of division is only one preferred embodiment of the present invention, and the present invention is not limited thereto.
S4, adjusting the electronic advertisement pushing by the background based on the obtained proportions of different types of people, wherein the adjustment rule is as follows: the background stores a plurality of electronic advertisements, each electronic advertisement corresponds to a person type, and when the background adjusts the pushing of the electronic advertisements, the occupation ratio of the corresponding type of advertisements is adjusted based on the obtained proportions of the different types of persons.
The method of the invention can be carried out in real time, for example, the advertisement type of the next time is determined based on the image collected at this time. As another embodiment of the present invention, the method for pushing the electronic advertisement is divided into cycles, in each cycle, the camera collects images at preset intervals, the background performs image analysis on one or more images at preset intervals each time, and then adjusts the pushing of the electronic advertisement within a next preset duration based on data of the image analysis.
In the electronic advertisement pushing method based on big data analysis of the present invention, the adjusting the percentage of the corresponding type of advertisement based on the obtained proportions of the different types of people specifically means: in the background, a preset proportion is preset for each type of people, then the degree of each type of people exceeding the corresponding preset proportion is calculated according to the obtained proportions of different types of people, the occupation ratio of the corresponding type of advertisements is adjusted according to the degree of exceeding the corresponding preset proportion, and the larger the degree of exceeding the corresponding preset proportion is, the higher the occupation ratio of the corresponding type of advertisements is.
In another embodiment of the electronic advertisement pushing method based on big data analysis of the present invention, different from the foregoing embodiment, the adjusting the percentage of the corresponding type of advertisement based on the obtained proportions of the different types of people specifically means: in the background, a preset proportion is preset for each type of people, then the degree of each type of people exceeding the corresponding preset proportion is calculated according to the obtained proportions of different types of people, the occupation ratio of the corresponding type of advertisements is adjusted according to the degree of exceeding the corresponding preset proportion, only one or more types of advertisements with the highest degree of exceeding the corresponding preset proportion are played, and the types of the played advertisements are smaller than the total number of the types.
Referring to fig. 2, fig. 2 is a flowchart of an embodiment of the big data analysis-based electronic advertisement pushing system of the present invention. According to another aspect of the present invention, to solve the technical problem, the present invention further provides an electronic advertisement delivery system based on big data analysis, which includes an image obtaining module 21, an image analysis module 22, a big data analysis module 23, and an advertisement delivery module 24.
The image acquisition module 21 is used for acquiring an image of a camera installed at the electronic billboard and sending the image to the background, and the camera is used for shooting people near the electronic billboard. The electronic billboard can adopt an LCD display screen, an LED display screen, a liquid crystal display screen and the like, the background can be a host located locally or a remote server or a cloud server and the like, the camera can be one part of the electronic billboard, namely the camera is installed on the electronic billboard, and the camera and the electronic billboard can also be two independent devices or parts. For example, an electronic billboard located on a square, a camera shoots people on the square.
The image analysis module 22 is configured to control the background to perform image analysis on the image, select individual person parts from the frame, and then extract the body types and face information of the persons from the framed individual person parts. The body type may be height, body size, and the like, for example, and the face information may adopt age-related face features, including: eyes, nose, mouth, face and the like can be referred to in detail as "geometric facial feature analysis for age-related face recognition", Shanghai university of transportation image processing and pattern recognition institute, Naja, and the like, and age recognition is a mature technology, and the present invention is not limited thereto.
The big data analysis module 23 is used for controlling the background to perform big data analysis based on the extracted body types of the people and the face information, so as to obtain the proportions of the people of different types. Different types of people are distinguished according to the following classifications: children, young men, young women, strong men, strong women, and the elderly, this type of division is only one preferred embodiment of the present invention, and the present invention is not limited thereto.
The advertisement pushing module 24 is configured to control the background to perform adjustment of electronic advertisement pushing based on the obtained proportions of the different types of people, and the adjustment rule is as follows: the background stores a plurality of electronic advertisements, each electronic advertisement corresponds to a person type, and when the background adjusts the pushing of the electronic advertisements, the occupation ratio of the corresponding type of advertisements is adjusted based on the obtained proportions of the different types of persons.
The system of the invention can be carried out in real time, for example, each time based on the image collected at this time, the type of the advertisement at the next time is determined. As another embodiment of the present invention, the method for pushing the electronic advertisement is divided into cycles, in each cycle, the camera collects images at preset intervals, the background performs image analysis on one or more images at preset intervals each time, and then adjusts the pushing of the electronic advertisement within a next preset duration based on data of the image analysis.
In the electronic advertisement pushing system based on big data analysis of the present invention, the adjusting the percentage of the corresponding type of advertisement based on the obtained proportions of the different types of people specifically means: in the background, a preset proportion is preset for each type of people, then the degree of each type of people exceeding the corresponding preset proportion is calculated according to the obtained proportions of different types of people, the occupation ratio of the corresponding type of advertisements is adjusted according to the degree of exceeding the corresponding preset proportion, and the larger the degree of exceeding the corresponding preset proportion is, the higher the occupation ratio of the corresponding type of advertisements is.
In another embodiment of the electronic advertisement pushing system based on big data analysis of the present invention, different from the above embodiment, the adjusting the percentage of the corresponding type of advertisement based on the obtained proportions of the different types of people specifically means: in the background, a preset proportion is preset for each type of people, then the degree of each type of people exceeding the corresponding preset proportion is calculated according to the obtained proportions of different types of people, the occupation ratio of the corresponding type of advertisements is adjusted according to the degree of exceeding the corresponding preset proportion, only one or more types of advertisements with the highest degree of exceeding the corresponding preset proportion are played, and the types of the played advertisements are smaller than the total number of the types.
In the present invention, unless otherwise expressly stated or limited, "above" or "below" a first feature means that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact with each other via another feature therebetween. Also, the first feature being "on," "above" and "over" the second feature includes the first feature being directly on and obliquely above the second feature, or merely indicating that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature includes the first feature being directly under and obliquely below the second feature, or simply meaning that the first feature is at a lesser elevation than the second feature.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, and the preferred embodiments of the present invention are described in the above embodiments and the description, and are not intended to limit the present invention. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (10)
1. An electronic advertisement pushing method based on big data analysis is characterized by comprising the following steps:
s1, acquiring an image of a camera installed at the electronic billboard and sending the image to a background, wherein the camera is used for shooting people near the electronic billboard;
s2, the background analyzes the image, each person part is selected from the frame, and then the body type and the face information of the person are extracted from each person part selected by the frame;
s3, the background analyzes big data based on the extracted body types and face information of the people to obtain the proportions of different types of people;
s4, adjusting the electronic advertisement pushing by the background based on the obtained proportions of different types of people, wherein the adjustment rule is as follows: the background stores a plurality of electronic advertisements, each electronic advertisement corresponds to a person type, and when the background adjusts the pushing of the electronic advertisements, the occupation ratio of the corresponding type of advertisements is adjusted based on the obtained proportions of the different types of persons.
2. The big data analysis-based electronic advertisement pushing method according to claim 1, wherein the different types of people are distinguished according to the following categories: children, young men, young women, strong men, strong women, and the elderly.
3. The electronic advertisement pushing method based on big data analysis according to claim 1, wherein the adjusting the percentage of the corresponding type of advertisement based on the obtained proportions of the different types of people specifically means: in the background, a preset proportion is preset for each type of people, then the degree of each type of people exceeding the corresponding preset proportion is calculated according to the obtained proportions of different types of people, the occupation ratio of the corresponding type of advertisements is adjusted according to the degree of exceeding the corresponding preset proportion, and the larger the degree of exceeding the corresponding preset proportion is, the higher the occupation ratio of the corresponding type of advertisements is.
4. The electronic advertisement pushing method based on big data analysis according to claim 1, wherein the adjusting the percentage of the corresponding type of advertisement based on the obtained proportions of the different types of people specifically means: in the background, a preset proportion is preset for each type of people, then the degree of each type of people exceeding the corresponding preset proportion is calculated according to the obtained proportions of different types of people, the occupation ratio of the corresponding type of advertisements is adjusted according to the degree of exceeding the corresponding preset proportion, only one or more types of advertisements with the highest degree of exceeding the corresponding preset proportion are played, and the types of the played advertisements are smaller than the total number of the types.
5. The electronic advertisement pushing method based on big data analysis according to claim 1, wherein the pushing method of the electronic advertisement is divided into cycles, each cycle, the camera is collected once every preset interval, the background performs image analysis on one or more images at preset intervals each time, and then adjusts the pushing of the electronic advertisement for a next preset duration based on the data of the image analysis.
6. An electronic advertisement pushing system based on big data analysis is characterized by comprising the following modules:
the system comprises an image acquisition module, a background and a display module, wherein the image acquisition module is used for acquiring an image of a camera arranged at an electronic billboard and sending the image to the background, and the camera is used for shooting people near the electronic billboard;
the image analysis module is used for controlling the background to carry out image analysis on the image, selecting each person part from the frame, and then extracting the body type and the face information of the person from each person part selected by the frame;
the big data analysis module is used for controlling the background to carry out big data analysis based on the extracted body types of the people and the face information to obtain the proportions of the people of different types;
the advertisement pushing module is used for controlling the background to adjust the electronic advertisement pushing based on the obtained proportions of different types of personnel, and the adjusting rule is as follows: the background stores a plurality of electronic advertisements, each electronic advertisement corresponds to a person type, and when the background adjusts the pushing of the electronic advertisements, the occupation ratio of the corresponding type of advertisements is adjusted based on the obtained proportions of the different types of persons.
7. The big data analysis-based electronic advertisement pushing system according to claim 6, wherein the different types of people are distinguished according to the following categories: children, young men, young women, strong men, strong women, and the elderly.
8. The electronic advertisement pushing system based on big data analysis according to claim 6, wherein the adjusting the percentage of the corresponding type of advertisement based on the obtained proportions of the different types of people specifically means: in the background, a preset proportion is preset for each type of people, then the degree of each type of people exceeding the corresponding preset proportion is calculated according to the obtained proportions of different types of people, the occupation ratio of the corresponding type of advertisements is adjusted according to the degree of exceeding the corresponding preset proportion, and the larger the degree of exceeding the corresponding preset proportion is, the higher the occupation ratio of the corresponding type of advertisements is.
9. The electronic advertisement pushing system based on big data analysis according to claim 6, wherein the adjusting the percentage of the corresponding type of advertisement based on the obtained proportions of the different types of people specifically means: in the background, a preset proportion is preset for each type of people, then the degree of each type of people exceeding the corresponding preset proportion is calculated according to the obtained proportions of different types of people, the occupation ratio of the corresponding type of advertisements is adjusted according to the degree of exceeding the corresponding preset proportion, only one or more types of advertisements with the highest degree of exceeding the corresponding preset proportion are played, and the types of the played advertisements are smaller than the total number of the types.
10. The electronic advertisement pushing system based on big data analysis as claimed in claim 6, wherein the pushing method of the electronic advertisement is divided into cycles, each cycle, the camera is collected once every preset interval, the background performs image analysis on one or more images at preset intervals each time, and then adjusts the pushing of the electronic advertisement for a next preset duration based on the data of the image analysis.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011542131.4A CN112651776A (en) | 2020-12-23 | 2020-12-23 | Electronic advertisement pushing method and system based on big data analysis |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011542131.4A CN112651776A (en) | 2020-12-23 | 2020-12-23 | Electronic advertisement pushing method and system based on big data analysis |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112651776A true CN112651776A (en) | 2021-04-13 |
Family
ID=75359669
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011542131.4A Pending CN112651776A (en) | 2020-12-23 | 2020-12-23 | Electronic advertisement pushing method and system based on big data analysis |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112651776A (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20100124486A (en) * | 2009-05-19 | 2010-11-29 | 김경서 | Facial image baseed advertizing system and method |
| CN103942705A (en) * | 2014-03-25 | 2014-07-23 | 惠州Tcl移动通信有限公司 | Advertisement classified match pushing method and system based on human face recognition |
| CN104573619A (en) * | 2014-07-25 | 2015-04-29 | 北京智膜科技有限公司 | Method and system for analyzing big data of intelligent advertisements based on face identification |
| CN111428662A (en) * | 2020-03-30 | 2020-07-17 | 齐鲁工业大学 | Advertisement playing change method and system based on crowd attributes |
| CN111612503A (en) * | 2020-04-11 | 2020-09-01 | 上海淇玥信息技术有限公司 | Advertisement pushing method and device based on external page delivery touch user information and electronic equipment |
-
2020
- 2020-12-23 CN CN202011542131.4A patent/CN112651776A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR20100124486A (en) * | 2009-05-19 | 2010-11-29 | 김경서 | Facial image baseed advertizing system and method |
| CN103942705A (en) * | 2014-03-25 | 2014-07-23 | 惠州Tcl移动通信有限公司 | Advertisement classified match pushing method and system based on human face recognition |
| CN104573619A (en) * | 2014-07-25 | 2015-04-29 | 北京智膜科技有限公司 | Method and system for analyzing big data of intelligent advertisements based on face identification |
| CN111428662A (en) * | 2020-03-30 | 2020-07-17 | 齐鲁工业大学 | Advertisement playing change method and system based on crowd attributes |
| CN111612503A (en) * | 2020-04-11 | 2020-09-01 | 上海淇玥信息技术有限公司 | Advertisement pushing method and device based on external page delivery touch user information and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN108234591B (en) | Content data recommendation method and device based on identity authentication device and storage medium | |
| US20190028642A1 (en) | Browsing system, image distribution apparatus, and image distribution method | |
| JP2001319217A (en) | Image display method | |
| CN101697056B (en) | Intelligent shooting projection system with frame self-adaptive function and projection method thereof | |
| US10013784B2 (en) | Generating an assembled group image from subject images | |
| CN103413229A (en) | Method and device for showing baldric try-on effect | |
| CN104112209A (en) | Audience statistical method of display terminal, and audience statistical system of display terminal | |
| CN101576771A (en) | Scaling method for eye tracker based on nonuniform sample interpolation | |
| CN106982380A (en) | The method for implantation of virtual interactive advertisement in internet video | |
| JP2007018218A (en) | Advertising effect evaluation supporting method and device | |
| CN105874423A (en) | Methods and apparatus to detect engagement with media presented on wearable media devices | |
| JP2019066700A (en) | Control method, information processing apparatus, and control program | |
| CN106846049A (en) | A kind of big data analysis method and its system that advertisement is associated based on electric business platform | |
| JP5325181B2 (en) | Content display control method, content display control device, and content display system | |
| CN111724199A (en) | Intelligent community advertisement accurate delivery method and device based on pedestrian active perception | |
| CN102982468A (en) | Advertisement system based on color code recognition technology and method thereof | |
| CN112651776A (en) | Electronic advertisement pushing method and system based on big data analysis | |
| CN107799037A (en) | A kind of advertisement machine with intelligent interaction function | |
| US10573045B2 (en) | Generating an assembled group image from subject images | |
| JP2015228145A (en) | Display device, digital display system, and digital display program | |
| CA2983339C (en) | Display systems using facial recognition for viewership monitoring purposes | |
| CN211928627U (en) | Intelligent interactive accurate public electronic advertisement system | |
| CN214897361U (en) | System for realizing epidemic prevention temperature measurement information and digital information release | |
| CN201194096Y (en) | Interactive dynamic video display apparatus | |
| Wang et al. | Visual saliency based just noticeable difference estimation in DWT domain |
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 |