CN114493719A - Artificial intelligent advertisement putting marketing recommendation system based on short video big data - Google Patents
Artificial intelligent advertisement putting marketing recommendation system based on short video big data Download PDFInfo
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- CN114493719A CN114493719A CN202210133057.3A CN202210133057A CN114493719A CN 114493719 A CN114493719 A CN 114493719A CN 202210133057 A CN202210133057 A CN 202210133057A CN 114493719 A CN114493719 A CN 114493719A
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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
- G06Q30/0242—Determining effectiveness of advertisements
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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
- G06Q30/0272—Period of advertisement exposure
Abstract
The invention discloses an artificial intelligent advertisement putting marketing recommendation system based on short video big data, and relates to the field of short video marketing systems. The system comprises a client, an advertisement service center, an advertisement center for advertisement retrieval, an advertisement background, an external third-party advertisement platform, an internal third-party advertisement platform, a data center, data storage, report display and a technical center. The invention receives advertisement putting data from an external third-party advertisement platform; based on the click and storage technology statistics, the statistics are automatically fed back to the data center to realize the functions of data aggregation and consumption summary statistics; the internal advertisement provided based on the internal third-party advertisement platform is directly supplied to the advertisement background for management and control, automatic delivery of the third-party advertisement and the direct client/agent advertisement is realized, automatic, efficient and intelligent management and control of advertisement delivery based on a big data angle are realized, efficiency and effect of advertisement delivery in the field of short video platforms are improved, and cost is saved.
Description
Technical Field
The invention belongs to the field of short video marketing systems, and particularly relates to an artificial intelligent advertisement putting marketing recommendation system based on short video big data.
Background
Short video is getting more and more fiery under being, to short video platform, it collects most advertisement marketing income that comes from the platform, and current advertisement marketing based on short video platform mainly still relies on under-line or directly delegates and puts in the advertisement by artificial mode and authority, cause supervision and control's inefficiency, with high costs, and whole flow can cause the untimely reaction because of the problem of people, the emergence of the circumstances such as manpower resources consumption is serious, consequently to above problem, artificial intelligence advertisement putting marketing recommendation system based on short video big data has important meaning.
Disclosure of Invention
The invention provides an artificial intelligent advertisement putting marketing recommendation system based on short video big data, and solves the problems.
In order to solve the technical problems, the invention is realized by the following technical scheme:
the artificial intelligent advertisement putting marketing recommendation system based on the short video big data comprises a client serving as a business front end, an advertisement business middle platform related to tasks, an advertisement middle platform used for advertisement retrieval, an advertisement background used for advertisement data management, an external third-party advertisement platform, an internal third-party advertisement platform, a data middle platform, data storage, report display and a technical middle platform, wherein the client is used as the business front end;
the service front end is loaded with at least one short video program; the advertisement service central station is used for establishing communication between the client and the advertisement central station, and is internally provided with an ap service gateway and an ap service module;
the advertisement middle platform is used for connecting an external third-party advertisement platform to provide a short video program in a client side for playing advertisements, retrieving the advertisements and supporting basic information, and comprises an ap gateway, an ap filter, an API (application program interface) advertisement service module, an ap engine, an advertisement public service module, an advertisement click/exposure counting module and a basic information supporting module; the service center is corresponding service data of the advertisement center, and comprises a user module and an account module;
the data center is designed based on a kafka technology architecture, consumption record files from an advertisement click/exposure counting statistical module are obtained, data aggregation processing is carried out, and a report form is formed for displaying;
the advertisement background is used for extracting advertisement data of an internal third-party advertisement platform for management and delivery control, extracting the data to the basic information support module and writing the data into the data storage;
the data storage is used for storing managed and controlled advertisements, and comprises a Redis cluster, a third party advertisement library and a direct client advertisement library;
the external third-party advertisement platform is in communication connection with the advertisement middle platform and supplies advertisement putting data; the internal third-party advertisement platform is communicated with the advertisement background and supplies internal advertisement delivery data and direct client/agent advertisement data;
the technical midboard is used for providing technical support.
Further, the ap filter is used for filtering the results retrieved from the short video program to obtain effective advertisement retrieval results; the API advertisement service module is used for directly pulling advertisement data supplied by an external third-party advertisement platform; the ap engine is used for providing retrieval service for direct customers; the advertisement clicking/exposing technology counting module is used for acquiring the times of clicking and exposing the corresponding delivered advertisement and generating consumption data to the data center; the advertisement public service module is used for receiving advertisement putting of public service classes.
Further, the basic information support module is used for providing support for advertisements or configuration metadata information, so that the retrieval function of the advertisement center station can be realized based on the data information angle.
Further, the third party API advertisement background is used for managing and recording advertisements delivered by a third party delivery advertisement platform; the third-party advertisement delivery management platform is used for delivering and managing the advertisements delivered by the third-party advertisement delivery platform; and the advertisement platform of the direct client/agent is used for receiving and managing advertisement delivery from the direct client/agent.
Furthermore, technical data comprising a caf framework, a message queue MQ, an Apollo framework, a Motan framework, a CI/CD tool, a k & s/Docker application container engine and a supervision system are stored in the technical middle desk.
Further, the external third-party advertisement platform comprises a public alliance platform, an OneWay platform and a cloud advertising platform.
Furthermore, the internal third-party advertisement platform comprises an advertisement platform for Tencent, an advertisement platform for Pangolin scales and a report interface connected with the advertisement putting management platform for the third party.
Compared with the prior art, the invention has the following beneficial effects:
the invention provides an artificial intelligence advertisement putting marketing recommendation system based on short video big data, which provides communication service based on an advertisement service center, provides retrieval, consumption statistics, keeping technology statistics and basic information support service for the advertisement center, and receives advertisement putting data from an external third-party advertisement platform; based on the click and storage technology statistics, the statistics are automatically fed back to a data center to realize the functions of data aggregation and consumption summary statistics; the internal advertisement provided based on the internal third-party advertisement platform is directly supplied to the advertisement background for management and control, and is written into the data storage for storage, so that automatic delivery of the third-party advertisement and the direct client/agent advertisement is realized, support is provided by various technologies in the technical middle platform in the process, automatic, efficient and intelligent management and control of advertisement delivery based on a large data angle are realized, the efficiency and effect of advertisement delivery in the field of short video platforms are improved, and the cost is saved.
Of course, it is not necessary for any product to practice the invention to achieve all of the above-described advantages at the same time.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a schematic diagram of a schematic framework of an artificial intelligence advertising marketing recommendation system based on short video big data according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the artificial intelligent advertisement putting marketing recommendation system based on short video big data of the present invention includes a client as a service front end, an advertisement service center station related to a task, an advertisement center station for advertisement retrieval, an advertisement background for advertisement data management, an external third party advertisement platform, an internal third party advertisement platform, a data center station, data storage, report display and a technology center station;
at least one short video program is loaded on the service front end; the advertisement service center is used for establishing communication between the client and the advertisement center, and is internally provided with an ap service gateway and an ap service module; the ap service gateway is used for gateway connection, and the ap service module is used for task matching; in the specific embodiment, the short video programs are specifically 3 programs, are installed and run on the client in a manner of a midget SDK installation package, and the client is also internally provided with a client operating system, mainly an android system, a hongmeng system and an ios operating system, and specifically realize communication connection with the ap gateway; 3 programs in this specific example are tremble, volcano, and fast-hand, respectively;
the advertisement middle platform is used for connecting an external third-party advertisement platform to provide a short video program in a client side for playing advertisements, retrieving the advertisements and supporting basic information, and comprises an ap gateway, an ap filter, an API (application program interface) advertisement service module, an ap engine, an advertisement public service module, an advertisement click/exposure counting module and a basic information supporting module; the service center station is corresponding service data of the advertisement center station and comprises a user module and an account module;
the data center is designed based on a kafka technology architecture, consumption record files from an advertisement click/exposure counting statistical module are obtained, data aggregation processing is carried out, and a report form is formed for displaying;
the advertisement background is used for extracting advertisement data of an internal third-party advertisement platform for management and delivery control, extracting the data to the basic information support module and writing the data into the data storage;
the data storage is used for storing the controlled and delivered advertisements, and comprises a Redis cluster, a third party advertisement library and a direct client advertisement library;
the external third-party advertisement platform is in communication connection with the advertisement middle platform and supplies advertisement putting data; the internal third-party advertisement platform is communicated with the advertisement background and supplies internal advertisement putting data and direct client/agent advertisement data;
the technical stage is used to provide technical support.
The ap filter is used for filtering the retrieval result from the short video program to obtain an effective advertisement retrieval result; the API advertisement service module is used for directly pulling advertisement data supplied by an external third-party advertisement platform; the ap engine is used for providing retrieval service for direct customers; the advertisement clicking/exposing technology counting module is used for acquiring the times of clicking and exposing the corresponding advertisement to be delivered and generating consumption data to the data center; the advertisement public service module is used for receiving advertisement putting of public service classes.
The basic information support module is used for providing support for advertisements or configuration metadata information, so that the retrieval function of the advertisement center station can be realized based on the data information angle.
The third-party API advertisement background is used for managing and recording advertisements delivered by the third-party delivery advertisement platform; the third-party advertisement delivery management platform is used for delivering and managing the advertisements delivered by the third-party advertisement delivery platform; and the direct client/agent advertisement platform is used for receiving and managing advertisement delivery from the direct client/agent.
Technical data comprising a caf framework, a message queue MQ, an Apollo framework, a Motan framework, a CI/CD tool, a k & s/Docker application container engine and a supervision system are stored in the technical middle desk.
The external third-party advertisement platform comprises a crowd platform, an OneWay platform and a cloud platform.
The internal third-party advertisement platform comprises an advertisement platform for Tencent advertisements, an advertisement platform for pangolin scales and a report interface connected with the advertisement putting management platform for the third party.
Has the advantages that:
the invention provides an artificial intelligence advertisement putting marketing recommendation system based on short video big data, which provides communication service based on an advertisement service center, provides retrieval, consumption statistics, keeping technology statistics and basic information support service for the advertisement center, and receives advertisement putting data from an external third-party advertisement platform; based on the click and storage technology statistics, the statistics are automatically fed back to the data center to realize the functions of data aggregation and consumption summary statistics; the internal advertisement provided based on the internal third-party advertisement platform is directly supplied to the advertisement background for management and control, and is written into the data storage for storage, so that automatic delivery of the third-party advertisement and the direct client/agent advertisement is realized, support is provided by various technologies in the technical middle platform in the process, automatic, efficient and intelligent management and control of advertisement delivery based on a large data angle are realized, the efficiency and effect of advertisement delivery in the field of short video platforms are improved, and the cost is saved.
The preferred embodiments of the invention disclosed above are intended to be illustrative only. The preferred embodiments are not intended to be exhaustive or to limit the invention to the precise embodiments disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the invention and the practical application, to thereby enable others skilled in the art to best utilize the invention. The invention is limited only by the claims and their full scope and equivalents.
Claims (7)
1. An artificial intelligent advertisement putting, marketing and recommending system based on short video big data is characterized by comprising a client serving as a business front end, an advertisement business middle platform related to tasks, an advertisement middle platform used for advertisement retrieval, an advertisement background used for advertisement data management, an external third-party advertisement platform, an internal third-party advertisement platform, a data middle platform, data storage, report display and a technical middle platform;
the service front end is loaded with at least one short video program; the advertisement service central station is used for establishing communication between the client and the advertisement central station, and is internally provided with an ap service gateway and an ap service module;
the advertisement middle platform is used for connecting an external third-party advertisement platform to provide a short video program in a client side for playing advertisements, retrieving the advertisements and supporting basic information, and comprises an ap gateway, an ap filter, an API (application program interface) advertisement service module, an ap engine, an advertisement public service module, an advertisement click/exposure counting module and a basic information supporting module; the service center is corresponding service data of the advertisement center, and comprises a user module and an account module;
the data center is designed based on a kafka technology architecture, consumption record files from an advertisement click/exposure counting statistical module are obtained, data aggregation processing is carried out, and a report form is formed for displaying;
the advertisement background is used for extracting advertisement data of an internal third-party advertisement platform for management and delivery control, extracting the data to the basic information support module and writing the data into the data storage;
the data storage is used for storing managed and controlled advertisements, and comprises a Redis cluster, a third party advertisement library and a direct client advertisement library;
the external third-party advertisement platform is in communication connection with the advertisement intermediate platform and supplies advertisement putting data; the internal third-party advertisement platform is communicated with the advertisement background and supplies internal advertisement putting data and direct client/agent advertisement data;
the technical midboard is used for providing technical support.
2. The short-video big data-based artificial intelligence advertising marketing recommendation system according to claim 1, wherein the ap filter is used for filtering results retrieved from the short video program to obtain effective advertising retrieval results; the API advertisement service module is used for directly pulling advertisement data supplied by an external third-party advertisement platform; the ap engine is used for providing retrieval service for direct customers; the advertisement clicking/exposing technology counting module is used for acquiring the times of clicking and exposing the corresponding delivered advertisement and generating consumption data to the data center; the advertisement public service module is used for receiving advertisement putting of public service classes.
3. The short-video big data-based artificial intelligence advertising marketing recommendation system according to claim 1, wherein the basic information support module is used for providing support for advertising or configuring metadata information, so that the retrieval function of the advertising middlebox can be realized based on the data information angle.
4. The artificial intelligence advertisement delivery marketing recommendation system based on short video big data of claim 1, characterized in that the third party API advertisement background is used for managing and recording the advertisement delivered by the third party advertisement delivery platform; the third-party advertisement delivery management platform is used for delivering and managing the advertisements delivered by the third-party advertisement delivery platform; and the advertisement platform of the direct client/agent is used for receiving and managing advertisement delivery from the direct client/agent.
5. The short-video big data-based artificial intelligence advertising marketing recommendation system according to claim 1, wherein technical data comprising a caf framework, a message queue MQ, an Apollo framework, a Motan framework, a CI/CD tool, a k & s/Docker application container engine and a regulatory body are stored in the technical centre.
6. The short-video big data-based artificial intelligence advertisement delivery marketing recommendation system of claim 1, wherein the external third party advertisement platforms comprise a crowd alliance platform, an OneWay platform and a cloud platform.
7. The short-video big data-based artificial intelligence advertising marketing recommendation system according to claim 1, wherein the internal third party advertising platform comprises a Tencent advertising platform, a Pangolin advertising platform and a report interface connected to a third party advertising management platform.
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| CN202210133057.3A CN114493719A (en) | 2022-02-14 | 2022-02-14 | Artificial intelligent advertisement putting marketing recommendation system based on short video big data |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116151889A (en) * | 2023-04-04 | 2023-05-23 | 上员品牌数智科技(深圳)有限公司 | Intelligent video advertisement delivery system and method based on big data |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116151889A (en) * | 2023-04-04 | 2023-05-23 | 上员品牌数智科技(深圳)有限公司 | Intelligent video advertisement delivery system and method based on big data |
| CN116151889B (en) * | 2023-04-04 | 2023-06-20 | 上员品牌数智科技(深圳)有限公司 | Intelligent video advertisement delivery system and method based on big data |
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