CN110458625A - Based on market content from the accurate matching process of media subscriber - Google Patents
Based on market content from the accurate matching process of media subscriber Download PDFInfo
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- CN110458625A CN110458625A CN201910757475.8A CN201910757475A CN110458625A CN 110458625 A CN110458625 A CN 110458625A CN 201910757475 A CN201910757475 A CN 201910757475A CN 110458625 A CN110458625 A CN 110458625A
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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
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0277—Online advertisement
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Abstract
The invention discloses a kind of based on market content from the accurate matching process of media subscriber.The present invention it is a kind of based on market content from the accurate matching process of media subscriber, comprising: object content (marketing target etc.) is subjected to element decomposition according to its particular content and information source first, and is sorted out according to its characteristic type and similarity；Meanwhile user data is extracted from from the database of media platform；Next, the user behavior data of decomposition and object content are carried out intelligent Matching according to similarity；On this basis, another part user data, i.e. relationship between individual subscriber essential information and the classification of user's profession degree are established.Beneficial effects of the present invention: present invention eliminates the artificial uncertainties in analysis treatment process, and the accurate dispensing of market content may be implemented using whole Intelligent Calculation, thus efficient deployment marketing strategy.
Description
Technical field
The present invention relates to from the accurate field of media subscriber, and in particular to a kind of accurate from media subscriber based on market content
Matching process.
Background technique
With the prosperity of social networks, the rise of internet economy, become the new battlefield of marketing domain from media platform.But
Due to extremely wide from media subscriber covering surface, how it to be directed to market content, accurately select target user, become and looked forward under New Economy background
Industry formulates efficient, the accurately key of marketing strategy act, also becomes the major issue that market survey person pay close attention to instantly.
At present for target product user's sort research usually by questionnaire survey form carry out, subjectivity and not really
It is qualitative larger.And this method processing sample size is limited, it is also very poor to the adaptability of new samples.As sample changes, analysis
As a result there is biggish fluctuation and unreliability.Generate magnanimity and continually changing information, conventional method daily from media platform
Obviously lack adaptability.Therefore exploitation is based on magnanimity back-end data based on the intelligence computation method from media platform, on the one hand right
Market content is decomposed according to its feature, on the other hand collects mass users data, and analyze it.Based on characteristic element
User data and market content are carried out similitude matching by element, to obtain user's classification based on content familiarity.Finally,
Based on user preference, the prediction model between essential information and user type is established.
There are following technical problems for traditional technology:
Currently, less (not yet finding) from the subscriber segmentation technique study under media content marketing background.Major part is to seek
User's sort research for the purpose of pin is based on the formal expansion of questionnaire survey under line.Artificial setting questionnaire has certain subjectivity
Property, easily causing problem excavation is not thorough and the insecure situation of conclusion, and this method is by sample size and complicated journey
The limitation of degree can not accomplish exact classification.
Summary of the invention
The technical problem to be solved in the present invention is to provide a kind of based on market content from the accurate matching process of media subscriber,
From under media platform, for specific market content, precisely select it is relevant from media subscriber (or potential user), to realize battalion
The accurate dispensing of content is sold, efficient deployment marketing strategy provides technical support.
In order to solve the above-mentioned technical problems, the present invention provides a kind of precisely matching from media subscriber based on market content
Method, comprising: object content (marketing target etc.) is subjected to element decomposition, and foundation according to its particular content and information source first
Its characteristic type and similarity are sorted out；
Meanwhile user data is extracted from from the database of media platform；
Next, the user behavior data of decomposition and object content are carried out intelligent Matching according to similarity；
On this basis, another part user data is established, i.e. individual subscriber essential information and user's profession degree classifies it
Between relationship.
In one of the embodiments, wherein, intellectual analysis is carried out to user behavior data, and is carried out according to content element
Classification.
The similarity shows that user to the degree of understanding of object content, can be used to divide in one of the embodiments,
For user's profession degree of some specific marketing target.
In one of the embodiments, such as " unrelated use will can be divided into from all users of media platform accordingly
Family ", " potential user ", " ordinary user ", " professional user " etc..
" another part user data on this basis, is established, i.e. individual subscriber is believed substantially in one of the embodiments,
Relationship between breath and the classification of user's profession degree." specifically include: it is primarily based on correlation between the two, extracts a small number of influence
The crucial personal information factor of user's classification, is labeled as key factor A, B, C etc.；Based on feature extraction, establish key factor with
Relational model R between user's classification is realized and is speculated user for certain specific marketing target according to a small amount of crucial personal information
Familiarity, to accomplish the accurate dispensing of market content.
In one of the embodiments, " it is primarily based on correlation between the two, extracts a small number of passes for influencing user's classification
The key personal information factor is labeled as key factor A, B, C etc.；" this reduces the dimensions of system, it will be to the effect of intelligence computation
Rate makees larger promotion.
User data includes user behavior data and individual subscriber essential information in one of the embodiments,.
A kind of computer equipment can be run on a memory and on a processor including memory, processor and storage
The step of computer program, the processor realizes any one the method when executing described program.
A kind of computer readable storage medium, is stored thereon with computer program, realization when which is executed by processor
The step of any one the method.
A kind of processor, the processor is for running program, wherein described program executes described in any item when running
Method.
Beneficial effects of the present invention:
Present invention eliminates the artificial uncertainties in analysis treatment process may be implemented using whole Intelligent Calculation
The accurate dispensing of market content, thus efficient deployment marketing strategy.
Detailed description of the invention
Fig. 1 is the schematic diagram from the accurate matching process of media subscriber the present invention is based on market content.
Specific embodiment
The present invention will be further explained below with reference to the attached drawings and specific examples, so that those skilled in the art can be with
It more fully understands the present invention and can be practiced, but illustrated embodiment is not as a limitation of the invention.
Refering to fig. 1:
The present invention proposes that under media platform, the intelligence side of object user is precisely matched for specific market content for one kind
Method.Object content (marketing target etc.) is carried out element decomposition, and foundation according to its particular content and information source first by this method
Its characteristic type and similarity are sorted out.Meanwhile user data is extracted from from the database of media platform.Wherein, to
Family behavioral data carries out intellectual analysis, and classifies according to content element.Next, by the user behavior data and mesh of decomposition
It marks content and carries out intelligent Matching according to similarity.The similarity shows that user to the degree of understanding of object content, can be used to draw
User profession degree of the minute hand to some specific marketing target.For example it will can be divided into accordingly from all users of media platform
" unrelated user ", " potential user ", " ordinary user ", " professional user " etc..
On this basis, another part user data is established, i.e. individual subscriber essential information and user's profession degree classifies it
Between relationship.It is primarily based on correlation between the two, extracts a small number of crucial personal information factors for influencing user's classification, label
For key factor A, B, C etc..This reduces the dimensions of system, will make larger promotion to the efficiency of intelligence computation.Based on spy
Sign is extracted, and the relational model R between key factor and user's classification is established, and is realized and is speculated user according to a small amount of crucial personal information
For the familiarity of certain specific marketing target, to accomplish the accurate dispensing of market content.
Embodiment described above is only to absolutely prove preferred embodiment that is of the invention and being lifted, protection model of the invention
It encloses without being limited thereto.Those skilled in the art's made equivalent substitute or transformation on the basis of the present invention, in the present invention
Protection scope within.Protection scope of the present invention is subject to claims.
Claims (10)
1. it is a kind of based on market content from the accurate matching process of media subscriber characterized by comprising first by object content
(marketing target etc.) carries out element decomposition according to its particular content and information source, and is returned according to its characteristic type and similarity
Class；
Meanwhile user data is extracted from from the database of media platform；
Next, the user behavior data of decomposition and object content are carried out intelligent Matching according to similarity；
On this basis, another part user data is established, i.e., between individual subscriber essential information and the classification of user's profession degree
Relationship.
2. as described in claim 1 based on market content from the accurate matching process of media subscriber, which is characterized in that wherein,
Intellectual analysis is carried out to user behavior data, and is classified according to content element.
3. as described in claim 1 based on market content from the accurate matching process of media subscriber, which is characterized in that this is similar
Degree shows that user to the degree of understanding of object content, can be used to divide user's profession degree for some specific marketing target.
4. as claimed in claim 3 based on market content from the accurate matching process of media subscriber, which is characterized in that such as may be used
Accordingly " unrelated user ", " potential user ", " ordinary user ", " professional user " will be divided into from all users of media platform
Deng.
5. as described in claim 1 based on market content from the accurate matching process of media subscriber, which is characterized in that " herein
On the basis of, establish another part user data, i.e. relationship between individual subscriber essential information and the classification of user's profession degree." tool
Body includes: the correlation being primarily based between the two, extracts a small number of crucial personal information factors for influencing user's classification, is labeled as
Key factor A, B, C etc.；Based on feature extraction, the relational model R between key factor and user's classification is established, is realized according to few
It measures crucial personal information and speculates that user is directed to the familiarity of certain specific marketing target, to accomplish the accurate throwing of market content
It puts.
6. as described in claim 1 based on market content from the accurate matching process of media subscriber, which is characterized in that " first
Based on correlations between the two, a small number of crucial personal information factors for influencing user's classification are extracted, key factor A is labeled as,
B, C etc.；" this reduces the dimensions of system, larger promotion will be made to the efficiency of intelligence computation.
7. as described in claim 1 based on market content from the accurate matching process of media subscriber, which is characterized in that number of users
According to including user behavior data and individual subscriber essential information.
8. a kind of computer equipment including memory, processor and stores the meter that can be run on a memory and on a processor
Calculation machine program, which is characterized in that the processor realizes any one of claims 1 to 7 the method when executing described program
Step.
9. a kind of computer readable storage medium, is stored thereon with computer program, which is characterized in that the program is held by processor
The step of any one of claims 1 to 7 the method is realized when row.
10. a kind of processor, which is characterized in that the processor is for running program, wherein right of execution when described program is run
Benefit requires 1 to 7 described in any item methods.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910757475.8A CN110458625A (en) | 2019-08-16 | 2019-08-16 | Based on market content from the accurate matching process of media subscriber |
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| CN201910757475.8A CN110458625A (en) | 2019-08-16 | 2019-08-16 | Based on market content from the accurate matching process of media subscriber |
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| CN110458625A true CN110458625A (en) | 2019-11-15 |
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| CN201910757475.8A Pending CN110458625A (en) | 2019-08-16 | 2019-08-16 | Based on market content from the accurate matching process of media subscriber |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107507076A (en) * | 2017-09-26 | 2017-12-22 | 贵州电网有限责任公司 | The method of the composite rating of power customer based on data mining |
| CN108830634A (en) * | 2018-04-26 | 2018-11-16 | 湖北今古传奇数字新媒体有限公司 | One kind is from media platform user behavior analysis and management method |
-
2019
- 2019-08-16 CN CN201910757475.8A patent/CN110458625A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107507076A (en) * | 2017-09-26 | 2017-12-22 | 贵州电网有限责任公司 | The method of the composite rating of power customer based on data mining |
| CN108830634A (en) * | 2018-04-26 | 2018-11-16 | 湖北今古传奇数字新媒体有限公司 | One kind is from media platform user behavior analysis and management method |
Non-Patent Citations (1)
| Title |
|---|
| 苗平: "浅谈内容画像在全媒体内容库中的作用", 《数字传媒研究》 * |
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Application publication date: 20191115 |