CN108876430A - A kind of advertisement sending method based on crowd characteristic, electronic equipment and storage medium - Google Patents
A kind of advertisement sending method based on crowd characteristic, electronic equipment and storage medium Download PDFInfo
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- CN108876430A CN108876430A CN201810401794.0A CN201810401794A CN108876430A CN 108876430 A CN108876430 A CN 108876430A CN 201810401794 A CN201810401794 A CN 201810401794A CN 108876430 A CN108876430 A CN 108876430A
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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
- G06Q30/0251—Targeted advertisements
- G06Q30/0255—Targeted advertisements based on user history
Abstract
The invention discloses a kind of advertisement sending methods based on crowd characteristic, include the following steps：Product classification binds step：The user crowd of acquisition watches the video image that product advertising is greater than set period of time, extracts the user characteristics of user crowd, and the co-user feature of product classification belonging to the product advertising and user crowd are bound；User characteristics extraction step：User video image is obtained, the user characteristics of user in video image are extracted；Advertisement pushing step：It determines co-user feature corresponding with the user characteristics of the user, the product advertising of the product classification subordinate bound with common user characteristics is pushed to the user and is watched.The invention also discloses a kind of electronic equipment and storage medium, a kind of advertisement sending method based on crowd characteristic, electronic equipment and storage medium of the invention can be analyzed according to user characteristics combination crowd characteristic, provide more accurate product advertising.
Description
Technical field
The present invention relates to data analysis push field more particularly to a kind of advertisement sending methods based on crowd characteristic, electricity
Sub- equipment and storage medium.
Background technique
Currently, with the continuous social and economic development, people's lives level is continuously improved, and consumptive power, purchasing power are not
The development of advertising is also promoted while disconnected promotion.In order to guide consumption, promote transaction, raising profit, the dispensing of advertisement is risen
Important function is arrived；And the outdoor advertising that display screen is launched then rely on its visual impact it is strong, repeatedly the high feature of reading theory by
To liking for many activity sides of holding.However, the generally existing popularity of advertisement at present, does not carry out pointedly preferably wide
It accuses and launches.For not specific crowd, following negative effect is brought：For trade company, it is unfavorable for precisely touching and is used up to real target
Family, marketing efficiency are low；For consumer, many advertisements unrelated with oneself demand are widely received, can be that consumer feels
It is sick of, is unfavorable for product promotion.For this purpose, occurring some being provided according to personal settings such as user characteristics, preferences on the market
Exclusive customization advertisement, what the big data analysis that this series advertisements is generally based on internet obtained, according to the correlation of individual subscriber
Information cooperates its behavioural characteristic on the internet that can preferably understand the interest or demand of user, and then realizes accurately
Exclusive advertisement is launched.
But the step of due to personal settings, is cumbersome, complicated, time-consuming, substantially increase user uses threshold, for
Beginner or without operation basis user for, have no way of doing it simply；In addition, the collection of user characteristics, is all based on mutually
What networking was completed, and the lower collection for being generally confined to the two aspect features of age bracket, gender at present online, the accuracy of judgement
Compare fuzzy, does not comprehensively consider the real demand of user from many aspects.Therefore, for advertisement under line is launched, based on comprehensive
It closes crowd characteristic and the product advertising of exclusive customization is provided, be the problem of advertisement side is urgently paid close attention to.
Summary of the invention
For overcome the deficiencies in the prior art, one of the objects of the present invention is to provide a kind of advertisements based on crowd characteristic
Method for pushing can be analyzed according to user characteristics combination crowd characteristic, provide more accurate product advertising.
An object of the present invention adopts the following technical scheme that realization：
A kind of advertisement sending method based on crowd characteristic, includes the following steps：Product classification binds step：Obtain user
Crowd watches the video image that product advertising is greater than set period of time, extracts the user characteristics of user crowd, and the product is wide
The co-user feature of product classification and user crowd belonging to accusing is bound；User characteristics extraction step：Obtain user video figure
Picture extracts the user characteristics of user in video image；Advertisement pushing step：Determination is corresponding with the user characteristics of the user total
The product advertising of the product classification subordinate bound with common user characteristics is pushed to the user and watched by same user characteristics.
Further, in product classification binding step, the user characteristics of each user of user crowd are obtained,
Extract co-user feature of several identical features as user crowd.
Further, when the quantity of the user characteristics of the user crowd of acquisition is more than setting value, then to all user spies
Sign is grouped, and is determined co-user feature by group, then carry out intersection processing to the co-user feature of each group, is extracted several
Co-user feature of the identical feature as user crowd.
Further, user characteristics include age, gender, hair style, same to administrative staff, wearing garment ornament.Further, it uses
Family feature is by comparing the classification of each feature of determining user characteristics with user feature database.
Further, the user feature database includes age data library, gender data library, hair style database, colleague
Demographic data library, wearing dress ornament database.
Further, user characteristics are obtained by user's face information, user number, user profile.
Further, user characteristics are extracted to the video image of acquisition, if there are corresponding co-user spies for user characteristics
Sign, then directly execute the advertisement pushing step；If corresponding co-user feature is not present in user characteristics, the production is executed
Product classification binding step.
The second object of the present invention is to provide a kind of electronic equipment, can be divided according to user characteristics combination crowd characteristic
Analysis, provides more accurate product advertising.
An object of the present invention adopts the following technical scheme that realization：
A kind of electronic equipment can be run on a memory and on a processor including memory, processor and storage
Computer program, the processor realize that one kind as described in one of the object of the invention is based on crowd characteristic when executing described program
Advertisement sending method.
The third object of the present invention is to provide a kind of storage medium, can be divided according to user characteristics combination crowd characteristic
Analysis, provides more accurate product advertising.
The third object of the present invention adopts the following technical scheme that realization：
A kind of computer readable storage medium, is stored thereon with computer program, it is characterised in that：The computer program
A kind of advertisement sending method based on crowd characteristic as described in one of the object of the invention is realized when being executed by processor.
Compared with prior art, the beneficial effects of the present invention are：
A kind of advertisement sending method based on crowd characteristic, electronic equipment and storage medium of the invention, by by user
Product classification belonging to the product advertising that the co-user feature of crowd is watched with user crowd is bound, common further according to this
User characteristics can be to there are the product classification subordinates of the user of corresponding user characteristics push and co-user feature binding
Product advertising, and then realize product advertising more accurately push, effectively improve the specific aim of advertisement pushing.
Detailed description of the invention
Fig. 1 is to invent a kind of advertisement sending method flow diagram based on crowd characteristic.
Specific embodiment
In the following, being described further in conjunction with attached drawing and specific embodiment to the present invention, it should be noted that not
Under the premise of conflicting, new implementation can be formed between various embodiments described below or between each technical characteristic in any combination
Example.
Embodiment one：
Embodiment one provides a kind of advertisement sending method based on crowd characteristic, includes the following steps as shown in Figure 1：
S1：The user crowd of acquisition watches the video image that product advertising is greater than set period of time, extracts the use of user crowd
Family feature binds the co-user feature of product classification belonging to the product advertising and user crowd；
S2：User video image is obtained, the user characteristics of user in video image are extracted；
S3：Determine co-user feature corresponding with the user characteristics of the user, the production that will be bound with common user characteristics
The product advertising of product classification subordinate is pushed to user viewing.
Online in lower exhibition and sale of products area, the user video image that camera is collected is obtained first, passes through user video image
User's characteristic information is extracted, if there are corresponding co-user features for user characteristics at this time, directly executes advertisement pushing step
Suddenly, corresponding product advertising is shown to user viewing by display screen；If corresponding co-user is not present in user characteristics
Feature then executes product classification binding step.Product classification is bound in step, watches the product that display screen is shown attentively to each
Advertisement is more than the user of preset period, and camera can all shoot it, and the user by obtaining camera schemes
Picture extracts user characteristics to user images, then extracts in several identical features existing for each user characteristics of user crowd
Hold the co-user feature as user crowd.It should be noted that the user characteristics of the user crowd extracted reach setting number
After mesh, then the extraction of co-user feature can be carried out, and by the common use of product classification belonging to product advertising and user crowd
The binding of family feature.The user characteristics extracted later execute if its feature has part identical with common user characteristics
S3 advertisement pushing step.In addition, the establishment of co-user feature, depends in the identical feature of each user characteristics of user crowd
Hold, meets the same characteristic features content number that co-user feature is established, customized can set, the present embodiment is full in feature
It determines this three at foot three or more and the above same characteristic features content is co-user feature.When the use of the user crowd of acquisition
The quantity of family feature is more than setting value, then is grouped to all user characteristics, determines co-user feature by group, then to each
The co-user feature of group carries out intersection processing, and the co-user for extracting several identical features as user crowd is special
Sign.In order to obtain more accurate co-user feature, the user characteristics of certain amount are needed, if directly to multiple user characteristics
Common trait extraction is carried out, it is possible that the case where common trait is not present, then will first be carried out to multiple user characteristics
Co-user feature is extracted in grouping, is carried out intersection processing to multiple co-user features again after co-user feature extraction, is obtained
Final co-user feature.
The user characteristics of the present embodiment include age, gender, hair style, same to administrative staff, wearing garment ornament.User characteristics are logical
User's face information, user number, user profile is crossed to obtain.User characteristics are by comparing determining user with user feature database
The classification of each feature of feature.The user feature database include age data library, gender data library, hair style database,
Colleague demographic data library, wearing dress ornament database.Each Database mode is as follows：
1, the foundation in age data library.
By neural network algorithm, user is divided into " 15-25 years old, 25-35 years old, 35-45 years old, 45 years old or more " four ages
Section, corresponds to all age group attribute for user and classifies.I.e. respectively obtain " 15-25 years old, 25-35 years old, 35-45 years old, 45 years old with
On " a large number of users mug shots of four age brackets, the user's face photo of acquisition is pre-processed, feature extraction, repeatedly
The feature vector of extraction is corresponded to all age group section and stored, completes the user of aforementioned four age bracket by recognition training
Age data library is established.
2, the foundation in gender data library.
By face recognition technology, user's face information is identified, to complete the foundation of user's gender data library.
3, the foundation of hair style database.
It is pre-processed by the photo of a large amount of each hair styles of acquisition, feature extraction, learning training, by the feature vector of extraction
Corresponding different hair style type is stored, to complete user's hair style Database.
4, the foundation in colleague demographic data library.
By face recognition technology, user's face information is identified, to judge user characteristics and its shopping preferences.
For example, push away perambulator user its buy preference it is mostly related with infant article.
5, the foundation of dress ornament database is dressed.
It is pre-processed, feature extraction, learning training, will be mentioned by obtaining the largely photo of each brand dress ornaments and handbag
The feature vector taken corresponds to different purchasing power sections and is stored, to complete user's purchasing power Database.
It, can age to user characteristics, gender, hair style, same to administrative staff, wearing clothes after the foundation for completing above-mentioned database
Five features are adornd to be identified.The following are the identification methods of each feature：
1, the age identifies
The face-image for extracting crowd in sales exhibition sales field video, is pre-processed, feature extraction, by pretreated user
Facial information is compared with age data library, to obtain the age bracket of video user.
2, gender identifies
The face-image for extracting crowd in sales exhibition sales field video, is pre-processed, feature extraction, passes through recognition of face skill
Art pretreated user's face information is compared with gender data library, to obtain the gender of video user.
3, hair style identifies
The face-image for extracting crowd in sales exhibition sales field video, is pre-processed, feature extraction, by pretreated user
Facial information is compared with hair style database, to obtain the hair style of video user.
4, colleague's personal identification
The face-image for extracting crowd in sales exhibition sales field video, is pre-processed, feature extraction, and obtaining for colleague's number is passed through
It takes, to judge that user is to do shopping or hold in the arms alone baby and to push perambulator, carries old man's trip, lovers, more people go on a journey
Situations such as, to show which same administrative staff has, label to user and user group, to show that the shopping of user is inclined
It is good.
5, garments worn identifies
The wearing dress ornament for extracting crowd in sales exhibition sales field video is compared, to obtain use with wearing dress ornament database
Family dress ornament and the corresponding purchasing power section of handbag type, and purchasing power class mark is carried out to the user.
By comparing with user feature database, that is, it can determine classification belonging to each feature of user characteristics.
In the following, being exemplified by Table 1, the establishment of co-user feature is illustrated.As shown in table 1：
Table 1
Four are illustrated in table 1 and has determined that four user characteristics classified belonging to feature, pass through co-user feature
Three or three or more same characteristic features contents are extracted, then the co-user feature with the binding of A product is：20-25 years old, female, bob.
If the user characteristics obtained after so from camera, then can be corresponding to the user characteristics comprising features described above content
User's advertisement watches advertising display on the display screen in sales exhibition area for the user.
It should be noted that there can be the case where user loses interest in this after product advertising is pushed to user, lead to
The lasting user video for obtaining and receiving the product advertising of a certain product classification is crossed, user is extracted and watches display screen attentively more than setting time
The user base number of section (the present embodiment is 1.5 seconds), is considered as to the interested user base number of the product classification, further calculates to obtain
Interested user's ratio, when interested user's ratio is lower than preset value, the product classification binding before showing is deposited
In error, need to re-start product classification binding step S1, at this time to ensure more accurately to user's advertisement.
A kind of advertisement sending method based on crowd characteristic of the present embodiment, by by the co-user feature of user crowd
Product classification belonging to product advertising with user crowd's viewing is bound, can be to presence further according to the co-user feature
User's push of corresponding user characteristics and the product advertising of the product classification subordinate of co-user feature binding, and then realize
Product advertising more accurately pushes, and effectively improves the specific aim of advertisement pushing, while realizing and being pushed away based on crowd characteristic personalization
Marketing model under the line of product is recommended, the enthusiasm of customer consumption is increased, promotes the enthusiasm of purchase.
Embodiment two：
Embodiment two discloses a kind of electronic equipment, which includes processor, memory and program, wherein locating
One or more can be used in reason device and memory, and program is stored in memory, and is configured to be executed by processor,
When processor executes the program, a kind of advertisement sending method based on crowd characteristic of embodiment one is realized, which can
To be a series of electronic equipment of mobile phone, computer, tablet computer etc..
Embodiment three：
Embodiment three discloses a kind of readable computer storage medium, which is somebody's turn to do for storing program
When program is executed by processor, a kind of advertisement sending method based on crowd characteristic of embodiment one is realized.
The above embodiment is only the preferred embodiment of the present invention, and the scope of protection of the present invention is not limited thereto,
The variation and replacement for any unsubstantiality that those skilled in the art is done on the basis of the present invention belong to institute of the present invention
Claimed range.
Claims (10)
1. a kind of advertisement sending method based on crowd characteristic, which is characterized in that include the following steps：
Product classification binds step：The user crowd of acquisition watches the video image that product advertising is greater than set period of time, extracts and uses
The user characteristics of family crowd bind the co-user feature of product classification belonging to the product advertising and user crowd；
User characteristics extraction step：User video image is obtained, the user characteristics of user in video image are extracted；
Advertisement pushing step：Determine co-user feature corresponding with the user characteristics of the user, it will be with common user characteristics
The product advertising of the product classification subordinate of binding is pushed to user's viewing.
2. a kind of advertisement sending method based on crowd characteristic as described in claim 1, it is characterised in that：In the product point
Class is bound in step, is obtained the user characteristics of each user of user crowd, is extracted several identical feature conducts
The co-user feature of user crowd.
3. a kind of advertisement sending method based on crowd characteristic as claimed in claim 2, it is characterised in that：As the user of acquisition
The quantity of the user characteristics of crowd is more than setting value, then is grouped to all user characteristics, determines that co-user is special by group
Sign, then intersection processing is carried out to the co-user feature of each group, several identical features are extracted as user crowd's
Co-user feature.
4. a kind of advertisement sending method based on crowd characteristic as described in claim 1, it is characterised in that：User characteristics include
Age, gender, hair style, same to administrative staff, wearing garment ornament.
5. a kind of advertisement sending method based on crowd characteristic as claimed in claim 4, it is characterised in that：User characteristics pass through
The classification of each feature of determining user characteristics is compared with user feature database, the user feature database includes the age
Database, gender data library, hair style database, colleague demographic data library, wearing dress ornament database.
6. a kind of advertisement sending method based on crowd characteristic as claimed in claim 4, it is characterised in that：User characteristics pass through
User's face information, user number, user profile obtain.
7. a kind of advertisement sending method based on crowd characteristic as described in claim 1, it is characterised in that：To the video of acquisition
Image zooming-out user characteristics directly execute the advertisement pushing step if there are corresponding co-user features for user characteristics；
If corresponding co-user feature is not present in user characteristics, the product classification binding step is executed.
8. a kind of advertisement sending method based on crowd characteristic as described in claim 1, it is characterised in that：It is pushed away in the advertisement
After sending step, the video image of user after receiving product advertising is obtained, as the user for receiving the product advertising under product classification
When crowd is lower than setting value to the interested ratio of product advertising, then the product classification binding is carried out to the product classification again
Step.
9. a kind of electronic equipment including memory, processor and stores the meter that can be run on a memory and on a processor
Calculation machine program, it is characterised in that：The processor realizes one as described in claim 1-8 any one when executing described program
Advertisement sending method of the kind based on crowd characteristic.
10. a kind of computer readable storage medium, is stored thereon with computer program, it is characterised in that：The computer program
A kind of advertisement sending method based on crowd characteristic as described in claim 1-8 any one is realized when being executed by processor.
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| CN112182365A (en) * | 2020-09-11 | 2021-01-05 | 北京三快在线科技有限公司 | Recommendation information generation method and device, electronic equipment and storage medium |
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| CN108876430B (en) | 2021-02-02 |
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