CN111405328A - Advertisement implanting and advertisement income method - Google Patents
Advertisement implanting and advertisement income method Download PDFInfo
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- CN111405328A CN111405328A CN202010321555.1A CN202010321555A CN111405328A CN 111405328 A CN111405328 A CN 111405328A CN 202010321555 A CN202010321555 A CN 202010321555A CN 111405328 A CN111405328 A CN 111405328A
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- 238000000034 method Methods 0.000 title claims abstract description 37
- 239000000463 material Substances 0.000 claims abstract description 58
- 238000002513 implantation Methods 0.000 claims description 10
- 230000001960 triggered effect Effects 0.000 claims description 9
- 230000008569 process Effects 0.000 claims description 6
- 230000000694 effects Effects 0.000 abstract description 12
- 230000000638 stimulation Effects 0.000 abstract description 3
- 238000005457 optimization Methods 0.000 description 3
- 241000282412 Homo Species 0.000 description 2
- 241001465754 Metazoa Species 0.000 description 2
- 230000002068 genetic effect Effects 0.000 description 2
- 230000003278 mimic effect Effects 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 241000700605 Viruses Species 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000013528 artificial neural network Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 238000005336 cracking Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000012407 engineering method Methods 0.000 description 1
- 239000007943 implant Substances 0.000 description 1
- 230000007246 mechanism Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 210000003061 neural cell Anatomy 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 238000004088 simulation Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/266—Channel or content management, e.g. generation and management of keys and entitlement messages in a conditional access system, merging a VOD unicast channel into a multicast channel
- H04N21/2668—Creating a channel for a dedicated end-user group, e.g. insertion of targeted commercials based on end-user profiles
-
- 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
- G06Q30/0207—Discounts or incentives, e.g. coupons or rebates
- G06Q30/0209—Incentive being awarded or redeemed in connection with the playing of a video game
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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
- G06Q30/0242—Determining effectiveness of advertisements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
- H04N21/81—Monomedia components thereof
- H04N21/812—Monomedia components thereof involving advertisement data
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- Game Theory and Decision Science (AREA)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Databases & Information Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention relates to the field of advertisements, in particular to an advertisement implanting and advertisement revenue method for automatically triggering advertisements according to the use condition of a user. The advertisement implanting and advertisement profit method of the invention comprises the steps of firstly calculating the optimal display position of the material to be implanted in a user terminal and the implanted advertisement attribute information corresponding to the optimal display position; generating a protocol file which can be analyzed by a user side and contains the attribute information of the implanted advertisement corresponding to the optimal display position; the user side triggers a playing request of implanting the advertisement material and sends the playing request to the server side; receiving the request and issuing a corresponding protocol file; the user side receives the protocol file and analyzes the parallelism playing; and after the advertisement materials are implanted after the playing is finished, the user side generates reward data and sends the reward data to the user account. When the user uses the user side, the user can select the active watching effect due to the stimulation of the reward data, and the user can give the actual reward on the premise of achieving the advertisement income, so that the feeling of the user watching the advertisement is reduced.
Description
Technical Field
The invention relates to the field of advertisements, in particular to an advertisement implanting and advertisement revenue method for automatically triggering advertisements according to the use condition of a user.
Background
The advertisement is mainly existed in the television for a long time, and when the audience watches a first program, the advertisement will be played, and because the number of the users is large, the obtained advertisement income is also large, so the cost is also huge.
With the development of the internet, various industries have developed to a certain extent, and in order to promote themselves and reduce the cost of advertisements, advertisements are generally implanted into various APPs in a crossed manner, that is, advertisements of one APP are implanted into one APP; the advertisements of the APP are correspondingly implanted into other APP applications, and the advertisements are mutually popularized.
Firstly, the server side calculates the optimal display position of the advertisement material in the media assets through various AI implantation algorithms. And then, fusing the advertisement materials into the media assets according to the calculated optimal display position.
And finally, recoding the media assets fused with the advertisement materials and issuing the coded media assets to the front end for display.
According to the existing advertisement implanting method, the front end does not distinguish advertisement materials and media assets, and the advertisement materials can be exposed while the front end normally plays the media assets.
Specifically, the existing advertisement implanting method has the following problems: the method comprises the following steps that (1) advertisement materials are integrated into media assets, the media assets are restricted by the advertisement materials, once the advertisement materials are changed, the media assets need to be encoded again, and the quality of the media assets is influenced to a certain extent by the encoding frequency of the media assets; because advertising has periodicity, corresponding advertising material typically needs to be replaced after an advertising impression expires. If the media resources are changed to re-encode, the time period is longer, and the efficiency and the timeliness of advertisement delivery are influenced; thirdly, the media assets are the most core assets of the platform, and the media assets are frequently changed, so that great risks exist in safety.
However, the user does not want to watch the advertisement in the process of using the APP, and how to enable the user to automatically watch the advertisement to achieve the advertisement revenue effect is a problem to be solved.
Disclosure of Invention
Aiming at the defects in the prior art, the invention provides an advertisement implanting and advertisement revenue method for automatically triggering advertisements according to the use condition of a user.
The scheme adopted by the invention for solving the problems is as follows: the advertisement implanting and advertisement revenue method comprises the following steps:
step A, a server calculates an optimal display position of a material to be implanted with advertisements in a user side and implanted advertisement attribute information corresponding to the optimal display position;
step B, the server generates a protocol file which can be analyzed by the user side, wherein the protocol file comprises the implanted advertisement attribute information corresponding to the optimal display position;
c, the user side triggers a playing request for implanting the advertisement material and sends the request to the server side;
step D, the server receives the request and sends a corresponding protocol file;
e, the user side receives the protocol file, analyzes the implanted advertisement attribute information in the protocol file, and plays the information in parallel;
and F, after the advertisement materials are implanted after the playing is finished, the user side generates reward data and sends the reward data to the user account.
Further, in order to better implement the present invention, in the step a, an optimal display position of the advertisement material to be implanted in the user terminal and the advertisement implantation attribute information corresponding to the optimal display position are calculated through a big data AI implantation algorithm.
Further, in order to better implement the present invention, in step a, the advertisement placement attribute information includes a time length, a size, and a position coordinate of the occurrence of the advertisement material to be placed in the user terminal.
Further, in order to better implement the present invention, in step B, the protocol file uses MD5 to encrypt the file.
Further, in order to better implement the present invention, in the step C, when the consumed articles of the user who logs in at the user terminal during the using process reach a certain critical value or the time of the user logging in reaches a certain critical value, a playing request for implanting the advertisement material is triggered.
Further, in order to better implement the present invention, in the step C, after the playing request of the embedded advertisement material is triggered, the user may select to close or play.
Further, in order to better implement the present invention, in said step E, the user can pause or close the advertisement material being played.
Further, in order to better implement the present invention, in step F, if the advertisement material is implanted after the advertisement material is completely played, no reward data is generated; and after the advertisement material is implanted after the playing is finished, generating reward data and issuing the reward data to the user account.
Further, in order to better implement the present invention, the reward data includes items consumed by the user during use and other accessories.
Further, in order to better implement the present invention, the generation times of the bonus data are limited within a certain time range.
The invention has the beneficial effects that: the invention relates to an advertisement implanting and advertisement profit method, which comprises the steps that firstly, a server side calculates the optimal display position of an advertisement material to be implanted in a user side and the implanted advertisement attribute information corresponding to the optimal display position; the server generates a protocol file which can be analyzed by the client, wherein the protocol file comprises the implanted advertisement attribute information corresponding to the optimal display position; the user side triggers a playing request for implanting the advertisement material and sends the request to the server side; the server receives the request and sends a corresponding protocol file; the user side receives the protocol file, analyzes the implanted advertisement attribute information in the protocol file, and plays the information in parallel; and after the advertisement materials are implanted after the playing is finished, the user side generates reward data and sends the reward data to the user account. When the user uses the user side, the user can select the active watching effect due to the stimulation of the reward data, and the user can give the actual reward on the premise of achieving the advertisement income, so that the feeling of the user watching the advertisement is reduced.
Detailed Description
The following describes embodiments of the present invention in detail. The following examples are only for illustrating the technical solutions of the present invention more clearly, and therefore are only examples, and the protection scope of the present invention is not limited thereby.
It is to be noted that unless otherwise specified, technical or scientific terms used herein shall have the ordinary meaning as understood by those skilled in the art to which the invention pertains.
Example 1:
the invention discloses an advertisement implanting and advertisement income method, which is characterized by comprising the following steps:
step A, a server calculates an optimal display position of a material to be implanted with advertisements in a user side and implanted advertisement attribute information corresponding to the optimal display position;
step B, the server generates a protocol file which can be analyzed by the user side, wherein the protocol file comprises the implanted advertisement attribute information corresponding to the optimal display position;
c, the user side triggers a playing request for implanting the advertisement material and sends the request to the server side;
step D, the server receives the request and sends a corresponding protocol file;
e, the user side receives the protocol file, analyzes the implanted advertisement attribute information in the protocol file, and plays the information in parallel;
and F, after the advertisement materials are implanted after the playing is finished, the user side generates reward data and sends the reward data to the user account.
The invention relates to an advertisement implanting and advertisement profit method, which comprises the steps that firstly, a server side calculates the optimal display position of an advertisement material to be implanted in a user side and the implanted advertisement attribute information corresponding to the optimal display position; the server generates a protocol file which can be analyzed by the client, wherein the protocol file comprises the implanted advertisement attribute information corresponding to the optimal display position; the user side triggers a playing request for implanting the advertisement material and sends the request to the server side; the server receives the request and sends a corresponding protocol file; the user side receives the protocol file, analyzes the implanted advertisement attribute information in the protocol file, and plays the information in parallel; and after the advertisement materials are implanted after the playing is finished, the user side generates reward data and sends the reward data to the user account. When the user uses the user side, the user can select the active watching effect due to the stimulation of the reward data, and the user can give the actual reward on the premise of achieving the advertisement income, so that the feeling of the user watching the advertisement is reduced.
Example 2:
in step a, an optimal display position of the material to be implanted in the user side and the implanted advertisement attribute information corresponding to the optimal display position are calculated through a big data AI implantation algorithm. Big data is a data set which cannot be captured, managed and processed by a conventional software tool within a certain time range, and is a massive, high-growth-rate and diversified information asset which can have stronger decision-making power, insight discovery power and flow optimization capability only by a new processing mode. AI is implemented on a computer in two different ways. One is to use conventional programming techniques to render the system intelligent regardless of whether the method used is the same as that used by the human or animal body. The method is called as engineering method, and has made achievements in some fields, such as character recognition, computer chess playing, etc. Another is simulation, which not only looks at the effect, but also requires that the implementation be the same or similar to the method used by humans or living organisms. Genetic algorithms all belong to the latter category. Genetic algorithms mimic the genetic-evolutionary mechanisms of humans or organisms, and artificial neural networks mimic the patterns of neural cell activity in the human or animal brain. Both approaches are generally used in order to achieve the same intelligent effect. With the former method, program logic needs to be specified manually in detail, which is convenient if the game is simple. If the game is complicated, the number of characters and the activity space are increased, the corresponding logic is very complicated, the manual programming is very complicated, and errors are easy to occur. Once an error occurs, the original program must be modified, recompiled and debugged, and finally a new version or a new patch is provided for the user, which is very troublesome. When the latter method is adopted, a programmer designs an intelligent system for each character to control, and the intelligent system does not know what is the beginning of the character, just like a newborn baby, but can learn, gradually adapt to the environment and cope with various complex conditions. Such systems are also prone to errors at the outset, but they are taught and may be corrected on the next run, at least never, without having to release a new version or patch. Therefore, the optimal display position of the material to be implanted in the user side and the implanted advertisement attribute information corresponding to the optimal display position are calculated by combining big data and AI, so that the method is quite in line with the use rule of the user, and a good advertisement profit effect can be obtained.
Example 3:
in the present embodiment, the optimization is further performed on the basis of the above embodiment, in the step a, the advertisement implantation attribute information includes a time length, a size, and a position coordinate of an advertisement material to be implanted appearing in the user terminal. The time length is the playing time of the implanted advertisement, the playing time of the implanted advertisement can be displayed in a countdown mode during playing, a user sees that the time for injecting the advertisement is gradually reduced, expectation and waiting can be generated in mind, and if the time for injecting the advertisement is controlled to be below 30 seconds, the time is not too long, so that the user can generally continuously watch the injected advertisement, and the expected advertisement benefit effect is achieved.
Example 4:
in this embodiment, further optimization is performed on the basis of the above embodiment, and in the step B, the protocol file uses MD5 to encrypt the file. The principle of the MD5 algorithm can be briefly described as: the MD5 code processes incoming information in 512-bit packets, each of which is divided into 16 32-bit sub-packets, and after a series of processing, the output of the algorithm consists of four 32-bit packets, which are concatenated to produce a 128-bit hash value. Each operation is performed by the 128-bit result value of the previous round and the current 512-bit value.
When we need to save some cipher information for identity verification, the MD5 algorithm can calculate the input string with any length to obtain the output with fixed length, and only if the plaintext is the same, it can wait for the same ciphertext, and this algorithm is not reversible, even if the ciphertext after encryption is obtained, it is not possible to calculate the plaintext by the decryption algorithm. Thus, the user's password can be stored in the form of MD5 value (or similar other algorithm), when the user registers, the system calculates the password input by the user into MD5 value, then compares the MD5 value with the MD5 value stored in the system, if the cipher text is the same, the password can be determined to be correct, otherwise, the password is wrong. Through such steps, the system can determine the validity of the user logging into the system without knowing the clear code of the user password. Therefore, the password of the user can be prevented from being known by the user with the authority of the system administrator, and the difficulty of cracking the password is increased to a certain extent.
The MD5 algorithm can also be used as an electronic signature method, and it is possible to generate a unique "digital fingerprint" for any file (regardless of size, format, number) using the MD5 algorithm, by which it is known whether the source file has been altered by checking whether the MD5 values before and after the file have changed. When downloading the software, people often find that a long character string is provided on a downloading page of the software besides a downloading address of the software. The string is actually the MD5 value of the software, and its function is to perform a MD5check on the downloaded file with special software (such as windows MD5check, etc.) after downloading the software, so as to ensure that the file we obtain is the same as the file provided by the site. The scheme of file verification by using the MD5 algorithm is widely applied to software download stations, forum databases, system file security and the like.
Therefore, the MD5 encryption has a good encryption effect, and is not easy to hijack, tamper, implant viruses and the like by other software.
Example 5:
in the step C, when the consumed articles of the user logged in the user terminal during the use process reach a certain critical value or the time of the user login reaches a certain critical value, the playing request for implanting the advertisement material is triggered. In the step C, after the playing request of the embedded advertisement material is triggered, the user can select to close or play, in the step E, the user can pause or close the embedded advertisement material being played, and in the step F, if the embedded advertisement material is not played completely, the reward data is not generated; and after the advertisement material is implanted after the playing is finished, generating reward data and issuing the reward data to the user account. When the user uses the game machine, when the consumed articles are reduced to a critical value, the embedded advertisement material playing request is triggered, for example, the user plays games, the game code is lower than a certain numerical value, the embedded advertisement material playing request is triggered, the user can select to close the embedded advertisement material playing, the game code reward cannot be obtained, and if the embedded advertisement playing is not closed, the game code reward can be obtained after the embedded advertisement playing is finished. Similarly, for the advertisement requirement, the user use time can be set, when the user use reaches a certain critical time length, the advertisement material implantation playing request is triggered, if the advertisement material implantation playing request is closed, the software cannot be used continuously, and if the advertisement material implantation playing is finished, a certain use time can be obtained.
Example 6:
the present embodiment is further optimized based on the above embodiments, and the reward data includes the items consumed by the user during the use process and other accessories. The generation times of the reward data are limited within a certain time range. The expendable items mainly refer to game codes and the like, and the accessory items can be scenes, special effects and the like. The reward data can not be unlimited, for example, the number of times is limited within 24 hours, for example, 5 times, namely, the user side generates the reward data once after the user watches the embedded advertisement material, and the user side generates the reward data once after the user watches the embedded advertisement material again, and the reward data is generated once until 5 times later, the reward data is not generated any more.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, but not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; such modifications and substitutions do not depart from the spirit and scope of the present invention, and they should be construed as being included in the following claims and description.
Claims (10)
1. The advertisement implanting and advertisement revenue method is characterized by comprising the following steps:
step A, a server calculates an optimal display position of a material to be implanted with advertisements in a user side and implanted advertisement attribute information corresponding to the optimal display position;
step B, the server generates a protocol file which can be analyzed by the user side, wherein the protocol file comprises the implanted advertisement attribute information corresponding to the optimal display position;
c, the user side triggers a playing request for implanting the advertisement material and sends the request to the server side;
step D, the server receives the request and sends a corresponding protocol file;
e, the user side receives the protocol file, analyzes the implanted advertisement attribute information in the protocol file, and plays the information in parallel;
and F, after the advertisement materials are implanted after the playing is finished, the user side generates reward data and sends the reward data to the user account.
2. The method of advertising placement and advertising revenue as claimed in claim 1, wherein: in the step A, the optimal display position of the advertisement material to be implanted in the user terminal and the implanted advertisement attribute information corresponding to the optimal display position are calculated through a big data AI implantation algorithm.
3. The method of advertising placement and advertising revenue as claimed in claim 1, wherein: in the step A, the advertisement implantation attribute information comprises the time length, the size and the position coordinate of the advertisement material to be implanted appearing in the user terminal.
4. The method of advertising placement and advertising revenue as claimed in claim 1, wherein: in the step B, the protocol file adopts MD5 encrypted file.
5. The method of advertising placement and advertising revenue as claimed in claim 1, wherein: in the step C, when the articles consumed by the user who logs in at the user end in the using process reach a certain critical value or the time of the user logging in reaches a certain critical value, the playing request of the embedded advertisement material is triggered.
6. The method of advertising placement and advertising revenue stream of claim 5, wherein: in the step C, after the playing request of the embedded advertisement material is triggered, the user can select to close or play.
7. The method of advertising placement and advertising revenue as claimed in claim 1, wherein: in step E, the user can pause or close the advertisement material being played.
8. The method of advertising placement and advertising revenue as claimed in claim 1, wherein: in the step F, if the advertisement materials are implanted without being played, the reward data is not generated; and after the advertisement material is implanted after the playing is finished, generating reward data and issuing the reward data to the user account.
9. The method of advertising placement and advertising revenue as claimed in claim 1, wherein: the reward data includes items consumed by the user during use and other accessories.
10. The method of advertising placement and advertising revenue stream of claim 9, wherein: the generation times of the reward data are limited within a certain time range.
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| CN202010321555.1A CN111405328A (en) | 2020-04-22 | 2020-04-22 | Advertisement implanting and advertisement income method |
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| CN202010321555.1A CN111405328A (en) | 2020-04-22 | 2020-04-22 | Advertisement implanting and advertisement income method |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111967912A (en) * | 2020-08-24 | 2020-11-20 | 深圳市智莱科技股份有限公司 | Overdue express item taking method of intelligent express cabinet, intelligent express cabinet and computer readable storage medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN111967912A (en) * | 2020-08-24 | 2020-11-20 | 深圳市智莱科技股份有限公司 | Overdue express item taking method of intelligent express cabinet, intelligent express cabinet and computer readable storage medium |
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Application publication date: 20200710 |