CN109636449A - A kind of elevator card method for pushing and system based on big data - Google Patents
A kind of elevator card method for pushing and system based on big data Download PDFInfo
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- CN109636449A CN109636449A CN201811423885.0A CN201811423885A CN109636449A CN 109636449 A CN109636449 A CN 109636449A CN 201811423885 A CN201811423885 A CN 201811423885A CN 109636449 A CN109636449 A CN 109636449A
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- 238000000034 method Methods 0.000 title claims abstract description 19
- 238000012163 sequencing technique Methods 0.000 claims abstract description 13
- 241001269238 Data Species 0.000 claims description 12
- 230000006978 adaptation Effects 0.000 claims description 5
- 230000000694 effects Effects 0.000 abstract description 6
- 238000010586 diagram Methods 0.000 description 3
- 240000000233 Melia azedarach Species 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 239000002699 waste material Substances 0.000 description 1
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0251—Targeted advertisements
- G06Q30/0269—Targeted advertisements based on user profile or attribute
- G06Q30/0271—Personalized advertisement
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- 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
Abstract
The present invention relates to big data technical fields, more particularly to a kind of elevator card method for pushing and system based on big data, by acquiring the user characteristic data of each elevator and the advertisement characteristic data of every advertisement, sequencing of similarity is carried out according to the data, and then be adapted to the advertisement with user, the present invention can effectively improve the dispensing effect of advertisement.
Description
Technical field
The present invention relates to big data technical fields, and in particular to a kind of elevator card method for pushing based on big data and is
System.
Background technique
Elevator is always the money that can not be missed in marketing person's eye as closed, mandatory, high frequency time a place
Source, everybody is also commonplace to elevator to various forms of elevator cards, and elevator card is a kind of unique and the new matchmaker of actual effect
Body depends in the building elevator carriage of city, and form fineness is generous, and people's boring psychology in elevator is utilized in it well,
To the less fastness of consumption information, audient can not avoid commercial audience completely, refuse to gaze at elevator card, it is this non-selective and
It is mandatory that elevator card is made to have the function of that other advertising media are incomparable and value.But a carry out advertisement dispensing hidden and
It is not concerned with reaction of the audient to advertisement, is the waste to elevator card resource, is also unfavorable for raising advertising results and therefore passes through
Target user and advertisement are effectively adapted to, accomplish that advertisement accurately is launched, so that effectively improving the dispensing effect of advertisement becomes
One is worth solving the problems, such as.
Summary of the invention
The present invention provides a kind of elevator card method for pushing and system based on big data, can be to target user and advertisement
It is effectively adapted to, accomplishes that advertisement accurately is launched, the present invention can effectively improve the dispensing effect of advertisement.
A kind of elevator card method for pushing based on big data provided by the invention, which is characterized in that the method includes
Following steps:
Step S1, the user characteristic data of each elevator and the advertisement characteristic data of every advertisement are acquired；
Step S2, according to the user characteristic data carry out user's sequencing of similarity, according to the advertisement characteristic data into
Row advertisement sequencing of similarity；
Step S3, the advertisement characteristic data is adapted to the user characteristic data, obtains associated data, will closed
The corresponding elevator card machine that the advertisement pushing of Lian Dugao is arrived.
Further, the user characteristic data of each elevator includes:
Acquisition enter and leave elevator user information as user characteristic data, the user information include seating elevator when
Total number of persons that is long, entering and leaving elevator, gender's ratio, the age bracket for entering and leaving elevator personnel.
Further, the advertisement characteristic data of every advertisement includes:
The image information for acquiring elevator card machine front region detects human face image information according to the image information of acquisition,
Obtain advertisement characteristic data according to the human face image information, the advertisement characteristic data include watch attentively duration, watch attentively number,
Watch gender's ratio, the age bracket of personnel attentively.
Further, the step S2 is specifically included:
Using the user characteristic data as user characteristics frequent item set, calculate between each user characteristics frequent item set
Distance, by distance have it is small sort to big sequence, apart from smaller, similarity is higher；
The calculation formula of the distance between each user characteristics frequent item set is as follows:
Wherein, x, y indicate two groups of user characteristic datas, and k is frequent item number, and k=4, i=1,2,3,4 take p=2；
Using the advertisement characteristic data as characteristic of advertisement frequent item set, calculate between each characteristic of advertisement frequent item set
Distance, by distance have it is small sort to big sequence, apart from smaller, similarity is higher；
The calculation formula of the distance between each characteristic of advertisement frequent item set is as follows:
Wherein, m, n indicate that two groups of advertisement characteristic datas, k are frequent item number, and k=4, j=1,2,3,4 take p=2.
Further, the step S3 is specifically included:
Extract gender's ratio, the age bracket of the advertisement characteristic data Yu the user characteristic data, degree of being associated
It calculates, obtains degree of association data, the corresponding elevator card machine that the high advertisement pushing of the degree of association is arrived.
A kind of elevator card supplying system based on big data, which is characterized in that the system comprises:
Acquisition module, for acquiring the user characteristic data of each elevator and the advertisement characteristic data of every advertisement；
Sorting module, for carrying out user's sequencing of similarity according to the user characteristic data, according to the characteristic of advertisement
Data carry out advertisement sequencing of similarity；
Adaptation module obtains incidence number for the advertisement characteristic data to be adapted to the user characteristic data
According to the corresponding elevator card machine for arriving the high advertisement pushing of the degree of association.
Further, the user characteristic data of each elevator includes:
Acquisition enter and leave elevator user information as user characteristic data, the user information include seating elevator when
Total number of persons that is long, entering and leaving elevator, gender's ratio, the age bracket for entering and leaving elevator personnel.
Further, the advertisement characteristic data of every advertisement includes:
The image information for acquiring elevator card machine front region detects human face image information according to the image information of acquisition,
Obtain advertisement characteristic data according to the human face image information, the advertisement characteristic data include watch attentively duration, watch attentively number,
Watch gender's ratio, the age bracket of personnel attentively.
Further, the sorting module includes:
User characteristics sorting module, for calculating each frequent item set using the user characteristic data as frequent item set
The distance between, by distance have it is small sort to big sequence, apart from smaller, similarity is higher；
The calculation formula of the distance is as follows:
Wherein, x, y indicate two groups of user characteristic datas, and k is frequent item number, and k=4, i=1,2,3,4 take p=2；
Characteristic of advertisement sorting module calculates between each frequent item set using the advertisement characteristic data as frequent item set
Distance, by distance have it is small sort to big sequence, apart from smaller, similarity is higher；
The calculation formula of the distance is as follows:
Wherein, m, n indicate that two groups of advertisement characteristic datas, k are frequent item number, and k=4, i=1,2,3,4 take p=2；
Further, the adaptation module is specifically used for:
Extract gender's ratio, the age bracket of the advertisement characteristic data Yu the user characteristic data, degree of being associated
It calculates, obtains degree of association data, the corresponding elevator card machine that the high advertisement pushing of the degree of association is arrived.
The beneficial effects of the present invention are: the present invention discloses a kind of elevator card method for pushing and system based on big data,
By acquiring the characteristic of elevator customer and the characteristic of advertisement, using the method for big data analysis, to user group and extensively
Announcement is classified respectively, according to user preferences and ad features, is effectively adapted to target user and advertisement, accomplishes that advertisement accurately is thrown
It puts, the present invention can effectively improve the dispensing effect of advertisement.
Detailed description of the invention
The invention will be further described with example with reference to the accompanying drawing.
Fig. 1 is a kind of flow diagram of the elevator card method for pushing based on big data of the present embodiment；
Fig. 2 is a kind of structural schematic diagram of the elevator card supplying system based on big data of the present embodiment；
Fig. 3 is the structural schematic diagram of the present embodiment sorting module.
Specific embodiment
With reference to Fig. 1, a kind of elevator card method for pushing based on big data provided by the invention, which is characterized in that described
Method the following steps are included:
Step S1, the user characteristic data of each elevator and the advertisement characteristic data of every advertisement are acquired；
Step S2, according to the user characteristic data carry out user's sequencing of similarity, according to the advertisement characteristic data into
Row advertisement sequencing of similarity；
Step S3, the advertisement characteristic data is adapted to the user characteristic data, obtains associated data, will closed
The corresponding elevator card machine that the advertisement pushing of Lian Dugao is arrived.
Further, the user characteristic data of each elevator includes:
Acquisition enter and leave elevator user information as user characteristic data, the user information include seating elevator when
Total number of persons that is long, entering and leaving elevator, gender's ratio, the age bracket for entering and leaving elevator personnel.
Further, the advertisement characteristic data of every advertisement includes:
The image information for acquiring elevator card machine front region detects human face image information according to the image information of acquisition,
Obtain advertisement characteristic data according to the human face image information, the advertisement characteristic data include watch attentively duration, watch attentively number,
Watch gender's ratio, the age bracket of personnel attentively.
Further, the step S2 is specifically included:
Using the user characteristic data as user characteristics frequent item set, calculate between each user characteristics frequent item set
Distance, by distance have it is small sort to big sequence, apart from smaller, similarity is higher；
The calculation formula of the distance between each user characteristics frequent item set is as follows:
Wherein, x, y indicate two groups of user characteristic datas, and k is frequent item number, and k=4, i=1,2,3,4 take p=2；
Using the advertisement characteristic data as characteristic of advertisement frequent item set, calculate between each characteristic of advertisement frequent item set
Distance, by distance have it is small sort to big sequence, apart from smaller, similarity is higher；
The calculation formula of the distance between each characteristic of advertisement frequent item set is as follows:
Wherein, m, n indicate that two groups of advertisement characteristic datas, k are frequent item number, and k=4, j=1,2,3,4 take p=2.
Further, the step S3 is specifically included:
Extract gender's ratio, the age bracket of the advertisement characteristic data Yu the user characteristic data, degree of being associated
It calculates, obtains degree of association data, the corresponding elevator card machine that the high advertisement pushing of the degree of association is arrived.
With reference to Fig. 2~3, a kind of elevator card supplying system based on big data, which is characterized in that the system comprises:
Acquisition module 1, for acquiring the user characteristic data of each elevator and the advertisement characteristic data of every advertisement；
Sorting module 2, for carrying out user's sequencing of similarity according to the user characteristic data, according to the characteristic of advertisement
Data carry out advertisement sequencing of similarity；
Adaptation module 3 obtains incidence number for the advertisement characteristic data to be adapted to the user characteristic data
According to the corresponding elevator card machine for arriving the high advertisement pushing of the degree of association.
Further, the user characteristic data of each elevator includes:
Acquisition enter and leave elevator user information as user characteristic data, the user information include seating elevator when
Total number of persons that is long, entering and leaving elevator, gender's ratio, the age bracket for entering and leaving elevator personnel.
Further, the advertisement characteristic data of every advertisement includes:
The image information for acquiring elevator card machine front region detects human face image information according to the image information of acquisition,
Obtain advertisement characteristic data according to the human face image information, the advertisement characteristic data include watch attentively duration, watch attentively number,
Watch gender's ratio, the age bracket of personnel attentively.
Further, the sorting module 2 includes:
User characteristics sorting module 21, for calculating each frequent episode using the user characteristic data as frequent item set
The distance between collection, by distance have it is small sort to big sequence, apart from smaller, similarity is higher；
The calculation formula of the distance is as follows:
Wherein, x, y indicate two groups of user characteristic datas, and k is frequent item number, and k=4, i=1,2,3,4 take p=2；
Characteristic of advertisement sorting module 22, using the advertisement characteristic data as frequent item set, calculate each frequent item set it
Between distance, by distance have it is small sort to big sequence, apart from smaller, similarity is higher；
The calculation formula of the distance is as follows:
Wherein, m, n indicate that two groups of advertisement characteristic datas, k are frequent item number, and k=4, i=1,2,3,4 take p=2；
Further, the adaptation module 3 is specifically used for:
Extract gender's ratio, the age bracket of the advertisement characteristic data Yu the user characteristic data, degree of being associated
It calculates, obtains degree of association data, the corresponding elevator card machine that the high advertisement pushing of the degree of association is arrived.
The above, only presently preferred embodiments of the present invention, the invention is not limited to above embodiment, as long as
It reaches technical effect of the invention with identical means, all should belong to protection scope of the present invention.
Claims (10)
1. a kind of elevator card method for pushing based on big data, which is characterized in that the described method comprises the following steps:
Step S1, the user characteristic data of each elevator and the advertisement characteristic data of every advertisement are acquired；
Step S2, user's sequencing of similarity is carried out according to the user characteristic data, is carried out according to the advertisement characteristic data wide
Accuse sequencing of similarity；
Step S3, the advertisement characteristic data is adapted to the user characteristic data, obtains associated data, by the degree of association
The corresponding elevator card machine that high advertisement pushing is arrived.
2. a kind of elevator card method for pushing based on big data according to claim 1, which is characterized in that described each
The user characteristic data of elevator includes,
Acquisition enters and leaves the user information of elevator as user characteristic data, and the user information includes taking the duration of elevator, going out
Enter the total number of persons of elevator, enter and leave gender's ratio, the age bracket of elevator personnel.
3. a kind of elevator card method for pushing based on big data according to claim 1, which is characterized in that every described
The advertisement characteristic data of advertisement includes,
The image information for acquiring elevator card machine front region detects human face image information according to the image information of acquisition, according to
The human face image information show that advertisement characteristic data, the advertisement characteristic data include watching duration attentively, watching number attentively, watch attentively
Gender's ratio, the age bracket of personnel.
4. according to a kind of any elevator card method for pushing based on big data of Claims 2 or 3, which is characterized in that
The step S2 is specifically included:
Using the user characteristic data as user characteristics frequent item set, calculate between each user characteristics frequent item set away from
From, by distance have it is small sort to big sequence, apart from smaller, similarity is higher；
The calculation formula of the distance between each user characteristics frequent item set is as follows:
Wherein, x, y indicate two groups of user characteristic datas, and k is frequent item number, and k=4, i=1,2,3,4 take p=2；
Using the advertisement characteristic data as characteristic of advertisement frequent item set, calculate between each characteristic of advertisement frequent item set away from
From, by distance have it is small sort to big sequence, apart from smaller, similarity is higher；
The calculation formula of the distance between each characteristic of advertisement frequent item set is as follows:
Wherein, m, n indicate that two groups of advertisement characteristic datas, k are frequent item number, and k=4, j=1,2,3,4 take p=2.
5. a kind of elevator card method for pushing based on big data according to claim 1, which is characterized in that the step
S3 is specifically included:
Gender's ratio, the age bracket of the advertisement characteristic data Yu the user characteristic data are extracted, degree of being associated calculates,
Obtain degree of association data, the corresponding elevator card machine that the high advertisement pushing of the degree of association is arrived.
6. a kind of elevator card supplying system based on big data, which is characterized in that the system comprises:
Acquisition module, for acquiring the user characteristic data of each elevator and the advertisement characteristic data of every advertisement；
Sorting module, for carrying out user's sequencing of similarity according to the user characteristic data, according to the advertisement characteristic data
Carry out advertisement sequencing of similarity；
Adaptation module obtains associated data, incites somebody to action for the advertisement characteristic data to be adapted to the user characteristic data
The corresponding elevator card machine that the high advertisement pushing of the degree of association is arrived.
7. a kind of elevator card supplying system based on big data according to claim 6, which is characterized in that described each
The user characteristic data of elevator includes,
Acquisition enters and leaves the user information of elevator as user characteristic data, and the user information includes taking the duration of elevator, going out
Enter the total number of persons of elevator, enter and leave gender's ratio, the age bracket of elevator personnel.
8. a kind of elevator card supplying system based on big data according to claim 6, which is characterized in that every described
The advertisement characteristic data of advertisement includes,
The image information for acquiring elevator card machine front region detects human face image information according to the image information of acquisition, according to
The human face image information show that advertisement characteristic data, the advertisement characteristic data include watching duration attentively, watching number attentively, watch attentively
Gender's ratio, the age bracket of personnel.
9. according to a kind of any elevator card supplying system based on big data of claim 7 or 8, which is characterized in that
The sorting module includes:
User characteristics sorting module, for calculating between each frequent item set using the user characteristic data as frequent item set
Distance, by distance have it is small sort to big sequence, apart from smaller, similarity is higher；
The calculation formula of the distance is as follows:
Wherein, x, y indicate two groups of user characteristic datas, and k is frequent item number, and k=4, i=1,2,3,4 take p=2；
Characteristic of advertisement sorting module, using the advertisement characteristic data as frequent item set, calculate between each frequent item set away from
From, by distance have it is small sort to big sequence, apart from smaller, similarity is higher；
The calculation formula of the distance is as follows:
Wherein, m, n indicate that two groups of advertisement characteristic datas, k are frequent item number, and k=4, i=1,2,3,4 take p=2.
10. a kind of elevator card supplying system based on big data according to claim 6, which is characterized in that described suitable
It is specifically used for module:
Gender's ratio, the age bracket of the advertisement characteristic data Yu the user characteristic data are extracted, degree of being associated calculates,
Obtain degree of association data, the corresponding elevator card machine that the high advertisement pushing of the degree of association is arrived.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110636363A (en) * | 2019-09-19 | 2019-12-31 | 北京市商汤科技开发有限公司 | Multimedia information playing method and device, electronic equipment and storage medium |
| CN111144928A (en) * | 2019-11-29 | 2020-05-12 | 淮阴工学院 | Elevator medical information advertisement putting system and method based on user behaviors |
| CN113793176A (en) * | 2021-09-07 | 2021-12-14 | 上海梯之星信息科技有限公司 | Advertisement pushing method, device, system and equipment |
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| US8095950B1 (en) * | 2000-03-21 | 2012-01-10 | Clubcom, Llc | System and method for delivering audio and video content to remote facilities based upon input advertising content selections |
| CN103971265A (en) * | 2013-01-31 | 2014-08-06 | 三星电子株式会社 | User Terminal And Method And System For Providing Advertisement |
| 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 |
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2018
- 2018-11-27 CN CN201811423885.0A patent/CN109636449A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8095950B1 (en) * | 2000-03-21 | 2012-01-10 | Clubcom, Llc | System and method for delivering audio and video content to remote facilities based upon input advertising content selections |
| CN103971265A (en) * | 2013-01-31 | 2014-08-06 | 三星电子株式会社 | User Terminal And Method And System For Providing Advertisement |
| 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 (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110636363A (en) * | 2019-09-19 | 2019-12-31 | 北京市商汤科技开发有限公司 | Multimedia information playing method and device, electronic equipment and storage medium |
| CN111144928A (en) * | 2019-11-29 | 2020-05-12 | 淮阴工学院 | Elevator medical information advertisement putting system and method based on user behaviors |
| CN113793176A (en) * | 2021-09-07 | 2021-12-14 | 上海梯之星信息科技有限公司 | Advertisement pushing method, device, system and equipment |
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Application publication date: 20190416 |