CN110930177A - AI advertisement template, AI advertisement generation method, AI advertisement generation device and storage medium - Google Patents

AI advertisement template, AI advertisement generation method, AI advertisement generation device and storage medium Download PDF

Info

Publication number
CN110930177A
CN110930177A CN201910947285.2A CN201910947285A CN110930177A CN 110930177 A CN110930177 A CN 110930177A CN 201910947285 A CN201910947285 A CN 201910947285A CN 110930177 A CN110930177 A CN 110930177A
Authority
CN
China
Prior art keywords
advertisement
variable part
target
template
determining
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201910947285.2A
Other languages
Chinese (zh)
Inventor
刘威畅
罗泳淋
代立旺
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
JD Digital Technology Holdings Co Ltd
Original Assignee
JD Digital Technology Holdings Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by JD Digital Technology Holdings Co Ltd filed Critical JD Digital Technology Holdings Co Ltd
Priority to CN201910947285.2A priority Critical patent/CN110930177A/en
Publication of CN110930177A publication Critical patent/CN110930177A/en
Priority to PCT/CN2020/111460 priority patent/WO2021057370A1/en
Pending legal-status Critical Current

Links

Images

Classifications

    • 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
    • G06Q30/0276—Advertisement creation

Landscapes

  • Business, Economics & Management (AREA)
  • Engineering & Computer Science (AREA)
  • Accounting & Taxation (AREA)
  • Development Economics (AREA)
  • Strategic Management (AREA)
  • Finance (AREA)
  • Game Theory and Decision Science (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Economics (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The embodiment of the invention relates to an AI advertisement template, an AI advertisement generation method, an AI advertisement generation device and a storage medium, wherein the method comprises the following steps: determining the type of the AI advertisement; extracting a variable part and a non-variable part from the AI advertisements of the same type according to a preset analysis strategy; generating a replacement strategy of the AI advertisement according to the variable part; and generating corresponding types of AI advertisement templates according to the variable part, the non-variable part and the replacement strategy, creating different types of AI advertisement templates, and replacing the advertisement contents by calling the templates in the subsequent AI advertisement making process without developing and packaging one by developers, thereby saving development resources and development time and reducing the cost of the advertisers for putting AI advertisements.

Description

AI advertisement template, AI advertisement generation method, AI advertisement generation device and storage medium
Technical Field
The embodiment of the invention relates to the field of electronic advertisements, in particular to an AI advertisement template, and an AI advertisement generation method and device.
Background
The artificial intelligence enables the advertising marketing industry, the advertising marketing industry is going to be technically and digitally transformed at present, and as the leading-edge position of the technology, the combination of the artificial intelligence and the advertising marketing is becoming more mature at present. When the artificial intelligence is more energized to the advertising industry in the process of putting, the great difference of data feedback before and after technical application shows the value of artificial intelligence and marketing through the deep mining of programmed advertising putting and reading application on user data.
Along with the development of Artificial Intelligence and advertising marketing, a marketing mode of Artificial Intelligence (AI) interactive advertising appears, the existing AI advertising aims to create immersive and gaming experience for each consumer, and for an Artificial Intelligence role model in front-end application, the Artificial Intelligence role model can be considered to be in a circle of perception, thinking and action all the time. Through the interaction of the artificial intelligence role model and the consumer, the data acquisition and analysis of the program help the AI advertisement move towards accurate saturation type popularization from the scattered point type exposure.
However, in the AI advertisement delivery process, a large amount of development is required for manufacturing one AI advertisement, and the designer and different AI advertisements require the developer to repeatedly develop and pack one by one, which wastes labor and time costs greatly and increases the manufacturing investment cost of the advertiser for the AI advertisement delivery.
Disclosure of Invention
In view of the above, embodiments of the present invention provide an AI advertisement template, and an AI advertisement generating method and apparatus to solve the above technical problems or some technical problems.
In a first aspect, an embodiment of the present invention provides a method for generating an AI advertisement template, including:
determining the type of the AI advertisement;
extracting a variable part and a non-variable part from the AI advertisements of the same type according to a preset analysis strategy;
generating a replacement strategy of the AI advertisement according to the variable part;
and generating an AI advertisement template of a corresponding type according to the variable part, the non-variable part and the replacement strategy.
In one possible implementation, the extracting a variable part and a non-variable part from the AI advertisement of the same type according to a preset parsing strategy includes:
defining a plurality of events and trigger conditions corresponding to the events according to the AI advertisements with the same type;
extracting the non-variable part from the AI advertisement according to the event and the trigger condition;
determining a trigger event after the event reaches the trigger condition in the AI advertisement;
the variable portion is extracted from the AI advertisement based on the trigger event.
In one possible embodiment, the method includes:
converting the variable part into a json format configuration file to generate a first configuration file;
storing the first configuration file in a first path;
generating a second configuration file by using the json format configuration file of the non-variable part;
storing the second configuration file in a second path.
In one possible embodiment, the method further comprises:
determining a utilization rate of each event in the non-variant portion in a plurality of the AI advertisements of the same type;
converting the event of which the utilization rate is less than a set threshold in the non-variable part into a variable part.
In one possible embodiment, the determining the type of the AI advertisement includes:
acquiring a plurality of displayed AI advertisements;
classifying the plurality of AI advertisements according to scene information, merchant information or commodity information of the AI advertisements;
determining the classified type of the AI advertisement.
In a second aspect, an embodiment of the present invention provides a method for generating an AI advertisement, including:
receiving AI advertising materials;
determining a target AI advertisement template according to the AI advertisement material;
determining a target variable part in the AI advertising material;
generating an AI advertisement based on the target variable portion and the target AI advertisement template.
In one possible implementation, the generating an AI advertisement based on the target variable portion and the target AI advertisement template includes:
searching a second path in the target AI advertisement template, and determining a second configuration file;
replacing the second configuration file with the target variable part to generate a target second configuration file;
searching a first path in the target AI advertisement template, and determining a first configuration file;
generating the AI advertisement based on the first profile and the target second profile.
In one possible embodiment, the determining a target AI advertisement template according to the AI advertisement material includes:
determining the type of the corresponding AI advertisement based on the AI advertisement material;
and matching a target AI advertisement template from the template library according to the type.
In one possible embodiment, the method further comprises:
and configuring the execution time of the target variable part in the AI advertisement according to the AI advertisement material.
In one possible embodiment, the method further comprises:
and configuring the interactive scenes in the AI advertisement according to different requirements corresponding to different scenes.
In a third aspect, an embodiment of the present invention provides an AI advertisement template generating apparatus, including:
a determining module for determining a type of the AI advertisement;
the extraction module is used for extracting a variable part and a non-variable part from the AI advertisements of the same type according to a preset analysis strategy;
the generation module is used for generating a replacement strategy of the AI advertisement according to the variable part;
the generation module is further configured to generate an AI advertisement template of a corresponding type according to the variable part, the non-variable part, and the replacement policy.
In a fourth aspect, an embodiment of the present invention provides an AI advertisement generation apparatus, including:
the receiving module is used for receiving AI advertising materials;
the determining module is used for determining a target AI advertisement template according to the AI advertisement material;
the determining module is further configured to determine a target variable part in the AI advertisement material;
a generation module for generating an AI advertisement based on the target variable portion and the target AI advertisement template.
In a fifth aspect, an embodiment of the present invention provides a server, including: a processor and a memory, the processor being configured to execute an AI advertisement template generation/AI advertisement generation program stored in the memory to implement the AI advertisement template generation method according to any one of the first aspect or the AI advertisement generation method according to any one of the second aspect.
In a sixth aspect, an embodiment of the present invention provides a storage medium storing one or more programs, which are executable by one or more processors to implement the method for generating an AI advertisement template according to any one of the first aspects or the method for generating an AI advertisement according to any one of the second aspects.
The method for generating the AI advertisement template provided by the embodiment of the invention determines the type of the AI advertisement; extracting a variable part and a non-variable part from the AI advertisements of the same type according to a preset analysis strategy; generating a replacement strategy of the AI advertisement according to the variable part; and generating corresponding types of AI advertisement templates according to the variable part, the non-variable part and the replacement strategy, creating different types of AI advertisement templates, and replacing the advertisement contents by calling the templates in the subsequent AI advertisement making process without developing and packaging one by developers, thereby saving development resources and development time and reducing the cost of the advertisers for putting AI advertisements.
Drawings
Fig. 1 is a flowchart illustrating a method for generating an AI advertisement template according to an embodiment of the present invention;
FIG. 2 is a flow chart illustrating a process of determining the type of AI advertisement according to an embodiment of the invention;
fig. 3 is a schematic flowchart of extracting a variable part and a non-variable part from the AI advertisement of the same type according to a preset resolution policy according to an embodiment of the present invention;
fig. 4 is a flowchart illustrating a method for generating an AI advertisement according to an embodiment of the present invention;
fig. 5 is a schematic flow chart illustrating a process of determining a target AI advertisement template according to the AI advertisement material according to an embodiment of the present invention;
FIG. 6 is a schematic flow chart illustrating the process of generating an AI advertisement based on the target variable part and the target AI advertisement template according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of an AI advertisement template generation apparatus according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of an AI advertisement generation apparatus according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of a server according to an embodiment of the present invention;
fig. 10 is a schematic structural diagram of another server according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, 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 some, but not all, embodiments of the present invention. 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.
For the convenience of understanding of the embodiments of the present invention, the following description will be further explained with reference to specific embodiments, which are not to be construed as limiting the embodiments of the present invention.
Fig. 1 is a schematic flow chart of a method for generating an AI advertisement template according to an embodiment of the present invention, and as shown in fig. 1, the method specifically includes:
and S11, determining the type of the AI advertisement.
The AI advertisement of the embodiment of the invention is added with an interaction link in the display process, and the user can fully know the AI advertisement through the interaction link to achieve the purpose of advertisement putting.
Further, the type of the AI advertisement may be determined based on a plurality of factors of the AI advertisement, such as a type of a product corresponding to the AI advertisement, an interactive scenario of the AI advertisement, and so on.
And S12, extracting a variable part and a non-variable part from the AI advertisement of the same type according to a preset analysis strategy.
In the embodiment of the invention, after the AI advertisements are classified, each type of AI advertisement is analyzed according to an analysis strategy, and a variable part and a non-variable part are extracted from each type of AI advertisement.
The parsing strategy can be a plurality of predefined elements, the elements can be fixed or changeable, the AI advertisement is parsed according to the defined elements, a part corresponding to the fixed type element in the AI advertisement is used as a non-variable part, and a part corresponding to the changeable type element in the AI advertisement is used as a variable part.
For the variable part can be understood: the replaceable part in the AI advertisement, and the non-variable part can be understood as the irreplaceable part (main frame) in the AI interactive advertisement.
And S13, generating a replacement strategy of the AI advertisement according to the variable part.
In the embodiment of the invention, the variable part is used as an alternative part in the AI advertisement, and the variable part is extracted from the AI advertisement and simultaneously the replacement strategy of the variable part when the AI advertisement replacement is executed is determined.
For example, the replacement policy generated from the variable part in type a AI ad may be: the position information of the variable part in the AI advertisement of type a, the element information included in the variable part, and the like are set to be replaceable.
And S14, generating an AI advertisement template of a corresponding type according to the variable part, the non-variable part and the replacement strategy.
In the embodiment of the invention, after the variable part and the non-variable part are extracted from the same type of AI advertisement and the replacement strategy is generated, the AI advertisement template of the type of AI advertisement is generated according to the variable part, the non-variable part and the replacement strategy.
Further, the variable part, the non-variable part and the replacement strategy can be stored in different paths in a file form, so that the calling of the subsequent template is facilitated.
Fig. 2 is a schematic flowchart of determining a type of an AI advertisement according to an embodiment of the present invention, as shown in fig. 2, specifically including the following sub-steps:
and S111, acquiring a plurality of displayed AI advertisements.
And S112, classifying the AI advertisements according to scene information, merchant information or commodity information of the AI advertisements.
S113, determining the classified type of the AI advertisement.
The server obtains a plurality of displayed AI advertisements on the terminal, wherein the AI advertisements can be: AI advertisements of a plurality of different commodities, different merchants and different interaction scenes.
Further, a plurality of AI advertisements are classified according to scene information, merchant information, or commodity information, where the scene information may be information that the AI advertisements are in an interaction link, for example, the scene information may be: cutting fruit, digging a squirrel, kicking a football, etc.; the merchant information may be information of a merchant to which the AI advertisement belongs, for example, the merchant information may be: amenity, TATA wood doors, etc.; the commodity information may be information for promoting a commodity in the AI advertisement, such as, for example, a glass, a hamburger, etc.
For example, AI advertisements can be classified by scene information as: a fruit-cutting type AI advertisement, a squirrel type AI advertisement, and a soccer type AI advertisement; the AI advertisements can also be divided into: an AI advertisement of the Kendeki type, an advertisement of the McDonald type, and an advertisement of the Dekker type; the AI advertisements may also be divided into: glass type AI advertisements, hamburger type advertisements.
Fig. 3 is a schematic flowchart of a process of extracting a variable part and a non-variable part from the AI advertisement of the same type according to a preset parsing policy according to an embodiment of the present invention, as shown in fig. 3, specifically including the following sub-steps:
s121, defining a plurality of events and trigger conditions corresponding to the events according to the AI advertisements with the same type.
And S122, extracting the non-variable part from the AI advertisement according to the event and the trigger condition.
S123, determining a trigger event after the event reaches the trigger condition in the AI advertisement.
And S124, extracting the variable part from the AI advertisement according to the trigger event.
In the present embodiment, the AI advertisement is defined to be composed of a plurality of events and trigger events, each event or trigger event is one of the AI advertisements to perform an operation or action, for example, the defined events may be a pass, a stop, a gender identification, an animation shown when the pass action is interacted, an animation shown when the stop action is interacted, and the like in the AI advertisement.
Further, the defined events can be further divided into variable events and invariable events, the variable events are trigger events when the event reaches the trigger condition, and the invariable events are events (for example, actions or operations such as passing, staying, sex identification, etc.) which do not change even if the trigger condition is reached in the AI advertisement.
Further, extracting the invariable events from the AI advertisement, and taking all the invariable events as an invariable part in the AI advertisement; the variable events are extracted from the AI advertisement and all of the variable events are taken as variable parts in the AI advertisement.
It should be noted that, the event may be determined as an immutable event or an immutable event by the trigger condition, for example, when the event reaches the trigger condition, if the event changes, the event is a changeable event; otherwise, it is an immutable event.
In an alternative of the embodiment of the present invention, the variable part is converted into a json format configuration file, and a first configuration file is generated; storing the first configuration file in a first path; generating a second configuration file by using the json format configuration file of the non-variable part; storing the second configuration file in a second path, and storing a replacement policy in a third path.
Further, the first path, the second path and the third path may belong to a file directory of the AI advertisement templates, the AI advertisement templates are presented in a data file package form, and a corresponding identifier is set for each AI advertisement template, and the identifier may represent a type of the AI advertisement template.
In an alternative of the embodiments of the present invention, a utilization rate of each event in the non-variable part in a plurality of the AI advertisements of the same type is determined; converting the event of which the utilization rate is less than a set threshold in the non-variable part into a variable part.
Further, the events (e.g., movement, blinking, etc.) in the non-variant part are fixed and invariant, and the utilization rate of each event in the non-variant part is determined according to actual requirements, for example, the utilization rate is 50%, by using the utilization rate of each event in the non-variant part in the same type of AI advertisement (the utilization rate may be calculated by selecting a set number of same type AI advertisements, counting the number of times that the event is utilized in a set number of AI advertisement interaction scenes, and determining the utilization rate according to the number of times and the set number of AI advertisements).
For example, when the utilization rate is less than 50%, the event in the non-variable part is converted into the variable part, and the event is converted from the non-variable part into the variable part to improve the replaceable range in the AI advertisement and improve the utilization rate of the AI advertisement.
In an alternative of the embodiment of the present invention, for the generated AI advertisement template, a variable part therein may be modified according to a requirement, and when the variable part is empty, a background in the AI advertisement may be used for filling.
In an alternative of the embodiment of the present invention, a template library is established according to the generated AI advertisement templates of multiple types, and subsequently, when an AI advertisement is generated, the AI advertisement template is called from the template library.
The method for generating the AI advertisement template provided by the embodiment of the invention determines the type of the AI advertisement; extracting a variable part and a non-variable part from the AI advertisements of the same type according to a preset analysis strategy; generating a replacement strategy of the AI advertisement according to the variable part; and generating corresponding types of AI advertisement templates according to the variable part, the non-variable part and the replacement strategy, creating different types of AI advertisement templates, and replacing the advertisement contents by calling the templates in the subsequent AI advertisement making process without developing and packaging one by developers, thereby saving development resources and development time and reducing the cost of the advertisers for putting AI advertisements.
Based on the constructed AI advertisement template, an AI advertisement is generated by using the AI advertisement template for introduction.
Fig. 4 is a schematic flow chart of a method for generating an AI advertisement according to an embodiment of the present invention, and as shown in fig. 4, the method specifically includes:
and S41, receiving the AI advertisement material.
According to the method for generating the AI advertisement, the corresponding AI advertisement template is called to generate the corresponding AI advertisement according to the AI advertisement material of the AI advertisement to be generated; the AI advertising materials are resource data for developers to develop and pack, and may include: pictures, videos, music, character models, etc.
And S42, determining a target AI advertisement template according to the AI advertisement material.
Matching a corresponding AI advertisement template according to scene information, merchant information or commodity information in the AI advertisement material, wherein the scene information can be an interactive scene of the AI advertisement material corresponding to the AI advertisement, the commodity information can be commodities displayed in the AI advertisement material corresponding to the AI advertisement, and the merchant information can be merchants to which the commodities displayed in the AI advertisement material corresponding to the AI advertisement belong.
And S43, determining a target variable part in the AI advertisement material.
The AI advertisement template comprises a variable part, a non-variable part and a replacement strategy, and the AI advertisement material is divided according to the variable part and the non-variable part in the AI advertisement template to determine a target variable part corresponding to the variable part in the AI advertisement template in the AI advertisement material.
S44, generating an AI advertisement based on the target variable part and the target AI advertisement template.
And replacing the variable part in the AI advertisement template with the target variable part based on the replacement strategy in the AI advertisement template, and generating the AI advertisement according to the target variable part and the non-variable part in the AI advertisement template.
Fig. 5 is a schematic flowchart of a process of determining a target AI advertisement template according to the AI advertisement material according to an embodiment of the present invention, as shown in fig. 5, specifically including:
and S421, determining the type of the corresponding AI advertisement based on the AI advertisement material.
And S422, matching the target AI advertisement template from the template library according to the type.
In the embodiment of the present invention, the type of the corresponding AI advertisement is determined according to the AI advertisement material, and the determination rule may be: and determining the type of the corresponding AI advertisement according to the scene information, the merchant information or the commodity information of the AI advertisement material, and setting specific selection scene information, merchant information or commodity information according to actual requirements.
Further, after the type of the AI advertisement corresponding to the AI advertisement material is determined, a target AI advertisement template corresponding to the type is matched from the template library.
In an alternative of the embodiment of the present invention, the interactive scenes in the AI advertisement are configured according to different requirements corresponding to different scenes.
One AI advertisement material may determine a plurality of target AI advertisement templates, and the same AI advertisement material may determine a plurality of AI advertisement templates according to different scene information, for example, the AI advertisement material X may select an AI advertisement template for a fruit-cutting scene, and may also select an AI advertisement template for a squirrel-shooting scene.
Fig. 6 is a schematic flowchart of a process of generating an AI advertisement based on the target variable part and the target AI advertisement template according to an embodiment of the present invention, and as shown in fig. 6, the method includes:
s441, searching a second path in the target AI advertisement template and determining a second configuration file.
And S442, replacing the second configuration file with the target variable part to generate a target second configuration file.
S443, searching a first path in the target AI advertisement template, and determining a first configuration file.
And S444, generating the AI advertisement based on the first configuration file and the target second configuration file.
The target AI advertisement template comprises a first configuration file, a second configuration file and a replacement strategy, wherein the first configuration file is stored in a first path of the target AI advertisement template, the second configuration file is stored in a second path of the target AI advertisement template, and the replacement strategy is stored in a third path of the target AI advertisement template.
Inquiring the content of the target AI advertisement template through a second path of the target AI advertisement, determining a second configuration file, inquiring the content of the target AI advertisement template through a third path of the target AI advertisement, determining a replacement strategy, carrying out one-to-one correspondence on the second configuration file and the content of a target variable part according to an event of a predetermined language, replacing the corresponding part with the target variable part to replace the second configuration file, setting the part without the target variable part and the part with the second configuration file to be null, newly adding the part with the target variable part and without the second configuration file, and further generating the target second configuration file.
Furthermore, the content of the target AI advertisement template is inquired through the first path of the target AI advertisement, a first configuration file is determined, and a packaging program is called to generate the AI advertisement from the first configuration file and the target second configuration file.
In an alternative of the embodiment of the present invention, the execution time of the target variable part in the AI advertisement is configured according to the AI advertisement material.
Further, the target variable part corresponds to a variable event, and the execution time of the target variable part in the generated AI advertisement is configured according to the corresponding variable event in the AI advertisement material, for example, the AI advertisement contains an element rabbit, the element rabbit jumps to the right at 8-12 am, and the element rabbit jumps to the left at 12-14 am.
The AI advertisement generation method provided by the embodiment of the invention receives the AI advertisement material; determining a target AI advertisement template according to the AI advertisement material; determining a target variable part in the AI advertising material; and generating the AI advertisement based on the target variable part and the target AI advertisement template, wherein only the template is required to be called for replacing the advertisement content in the process of manufacturing the AI advertisement, and developers are not required to develop and pack one by one, so that the development resource and development time are saved, and the cost of putting the AI advertisement by advertisers is reduced.
Fig. 7 is a schematic structural diagram of an AI advertisement template generating device according to an embodiment of the present invention, and as shown in fig. 7, the AI advertisement template generating device specifically includes:
a determination module 71 for determining the type of AI advertisement;
an extracting module 72, configured to extract a variable part and a non-variable part from the AI advertisements of the same type according to a preset parsing strategy;
a generating module 73, configured to generate a replacement policy of the AI advertisement according to the variable part;
the generating module 73 is further configured to generate an AI advertisement template of a corresponding type according to the variable part, the non-variable part, and the replacement policy.
Optionally, the extracting module 72 is specifically configured to define multiple events and trigger conditions corresponding to the events according to the AI advertisements of the same type; extracting the non-variable part from the AI advertisement according to the event and the trigger condition; determining a trigger event after the event reaches the trigger condition in the AI advertisement; the variable portion is extracted from the AI advertisement based on the trigger event.
Optionally, the apparatus further comprises: the storage module 74 is configured to convert the variable part into a json format configuration file, and generate a first configuration file; storing the first configuration file in a first path; generating a second configuration file by using the json format configuration file of the non-variable part; storing the second configuration file in a second path.
Optionally, the determining module 71 is further configured to determine a utilization rate of each event in the non-variant part in a plurality of AI advertisements of the same type; converting the event of which the utilization rate is less than a set threshold in the non-variable part into a variable part.
Optionally, the determining module 71 is specifically configured to obtain a plurality of displayed AI advertisements; classifying the plurality of AI advertisements according to scene information, merchant information or commodity information of the AI advertisements; determining the classified type of the AI advertisement.
The device for generating the AI advertisement template comprises a processor and a memory, wherein the determining module, the extracting module, the generating module, the storing module and the like are stored in the memory as program modules, and the processor executes the program modules stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program module from the memory. The kernel can be set to be one or more, and the AI advertisement template is generated by adjusting the kernel parameters.
The apparatus for generating an AI advertisement template provided in this embodiment may be the apparatus for generating an AI advertisement template shown in fig. 7, and may perform all the steps of the method for generating an AI advertisement template shown in fig. 1 to 3, so as to achieve the technical effects of the method for generating an AI advertisement template shown in fig. 1 to 3, which is described with reference to fig. 1 to 3 for brevity, and is not described herein again.
Fig. 8 is a schematic structural diagram of an AI advertisement generation apparatus according to an embodiment of the present invention, and as shown in fig. 8, the AI advertisement generation apparatus specifically includes:
a receiving module 81, configured to receive an AI advertisement material;
a determining module 82, configured to determine a target AI advertisement template according to the AI advertisement material;
the determining module 82 is further configured to determine a target variable part in the AI advertisement material;
a generating module 83 for generating an AI advertisement based on the target variable part and the target AI advertisement template.
Optionally, the generating module 83 is specifically configured to search a second path in the target AI advertisement template, and determine a second configuration file; replacing the second configuration file with the target variable part to generate a target second configuration file; searching a first path in the target AI advertisement template, and determining a first configuration file; generating the AI advertisement based on the first profile and the target second profile.
Optionally, the determining module 82 is specifically configured to determine a type of the corresponding AI advertisement based on the AI advertisement material; and matching a target AI advertisement template from the template library according to the type.
Optionally, the apparatus further comprises: and a configuration module 84, configured to configure the execution time of the target variable part in the AI advertisement according to the AI advertisement material.
Optionally, the configuration module 84 is further configured to configure the interactive scenes in the AI advertisement according to different requirements corresponding to different scenes.
The AI advertisement generating device comprises a processor and a memory, wherein the receiving module, the determining module, the generating module, the configuring module and the like are stored in the memory as program modules, and the processor executes the program modules stored in the memory to realize corresponding functions.
The processor comprises a kernel, and the kernel calls the corresponding program module from the memory. The kernel can be set to be one or more, and the AI advertisement is generated by adjusting the parameters of the kernel.
The AI advertisement generating device provided in this embodiment may be the AI advertisement generating device shown in fig. 8, and may perform all the steps of the AI advertisement generating method shown in fig. 4-6, so as to achieve the technical effects of the AI advertisement generating method shown in fig. 4-6, which please refer to the relevant descriptions of fig. 4-6 for brevity, which is not described herein again.
Fig. 9 is a schematic structural diagram of a server according to an embodiment of the present invention, where the server 900 shown in fig. 9 includes: at least one processor 901, memory 902, at least one network interface 904, and other user interfaces 903. The various components in the server 900 are coupled together by a bus system 905. It is understood that the bus system 905 is used to enable communications among the components. The bus system 905 includes a power bus, a control bus, and a status signal bus, in addition to a data bus. For clarity of illustration, however, the various buses are labeled in fig. 9 as bus system 905.
The user interface 903 may include, among other things, a display, a keyboard, or a pointing device (e.g., a mouse, trackball, touch pad, or touch screen, among others.
It is to be understood that the memory 902 in embodiments of the present invention may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile memory may be a Read-only memory (ROM), a programmable Read-only memory (PROM), an erasable programmable Read-only memory (erasabprom, EPROM), an electrically erasable programmable Read-only memory (EEPROM), or a flash memory. The volatile memory may be a Random Access Memory (RAM) which functions as an external cache. By way of example, but not limitation, many forms of RAM are available, such as static random access memory (staticiram, SRAM), dynamic random access memory (dynamic RAM, DRAM), synchronous dynamic random access memory (syncronous DRAM, SDRAM), Double Data Rate Synchronous Dynamic Random Access Memory (DDRSDRAM), Enhanced synchronous SDRAM (ESDRAM), synchronous link SDRAM (SLDRAM), and direct memory bus SDRAM (DRRAM). The memory 902 described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
In some embodiments, memory 902 stores the following elements, executable units or data structures, or a subset thereof, or an expanded set thereof: an operating system 9021 and application programs 9022.
The operating system 9021 includes various system programs, such as a framework layer, a core library layer, a driver layer, and the like, and is configured to implement various basic services and process hardware-based tasks. The application 9022 includes various applications, such as a media player (MediaPlayer), a Browser (Browser), and the like, for implementing various application services. A program implementing the method of an embodiment of the present invention may be included in application 9022.
In the embodiment of the present invention, by calling a program or an instruction stored in the memory 902, specifically, a program or an instruction stored in the application 9022, the processor 901 is configured to execute the method steps provided by the method embodiments, for example, including:
determining the type of the AI advertisement; extracting a variable part and a non-variable part from the AI advertisements of the same type according to a preset analysis strategy; generating a replacement strategy of the AI advertisement according to the variable part; and generating an AI advertisement template of a corresponding type according to the variable part, the non-variable part and the replacement strategy.
Optionally, defining a plurality of events and trigger conditions corresponding to the events according to the AI advertisements of the same type; extracting the non-variable part from the AI advertisement according to the event and the trigger condition; determining a trigger event after the event reaches the trigger condition in the AI advertisement; the variable portion is extracted from the AI advertisement based on the trigger event.
Optionally, converting the variable part into a json format configuration file to generate a first configuration file; storing the first configuration file in a first path; generating a second configuration file by using the json format configuration file of the non-variable part; storing the second configuration file in a second path.
Optionally, determining a utilization rate of each event in the non-variant portion in a plurality of the AI advertisements of the same type; converting the event of which the utilization rate is less than a set threshold in the non-variable part into a variable part.
Optionally, obtaining a plurality of displayed AI advertisements; classifying the plurality of AI advertisements according to scene information, merchant information or commodity information of the AI advertisements; determining the classified type of the AI advertisement.
The method disclosed in the above embodiments of the present invention may be applied to the processor 901, or implemented by the processor 901. The processor 901 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be implemented by integrated logic circuits of hardware or instructions in the form of software in the processor 901. The processor 901 may be a general-purpose processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, or discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software elements in the decoding processor. The software elements may be located in ram, flash, rom, prom, or eprom, registers, among other storage media that are well known in the art. The storage medium is located in the memory 902, and the processor 901 reads the information in the memory 902, and completes the steps of the above method in combination with the hardware thereof.
It is to be understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units configured to perform the functions described herein, or a combination thereof.
For a software implementation, the techniques described herein may be implemented by means of units performing the functions described herein. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
The server provided in this embodiment may be the server shown in fig. 9, and may execute all the steps of the method for generating an AI advertisement template shown in fig. 1 to 3, so as to achieve the technical effect of the method for generating an AI advertisement template shown in fig. 1 to 3, which is described with reference to fig. 1 to 3 for brevity and will not be described herein again.
The embodiment of the invention also provides a storage medium (computer readable storage medium). The storage medium herein stores one or more programs. Among others, the storage medium may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, a hard disk, or a solid state disk; the memory may also comprise a combination of memories of the kind described above.
When one or more programs in the storage medium are executable by one or more processors, the method for generating an AI advertisement template described above is implemented on the AI advertisement template generation device side.
The processor is configured to execute the generation program of the AI advertisement template stored in the memory to implement the following steps of the generation method of the AI advertisement template executed on the generation device side of the AI advertisement template:
determining the type of the AI advertisement; extracting a variable part and a non-variable part from the AI advertisements of the same type according to a preset analysis strategy; generating a replacement strategy of the AI advertisement according to the variable part; and generating an AI advertisement template of a corresponding type according to the variable part, the non-variable part and the replacement strategy.
Optionally, defining a plurality of events and trigger conditions corresponding to the events according to the AI advertisements of the same type; extracting the non-variable part from the AI advertisement according to the event and the trigger condition; determining a trigger event after the event reaches the trigger condition in the AI advertisement; the variable portion is extracted from the AI advertisement based on the trigger event.
Optionally, converting the variable part into a json format configuration file to generate a first configuration file; storing the first configuration file in a first path; generating a second configuration file by using the json format configuration file of the non-variable part; storing the second configuration file in a second path.
Optionally, determining a utilization rate of each event in the non-variant portion in a plurality of the AI advertisements of the same type; converting the event of which the utilization rate is less than a set threshold in the non-variable part into a variable part.
Optionally, obtaining a plurality of displayed AI advertisements; classifying the plurality of AI advertisements according to scene information, merchant information or commodity information of the AI advertisements; determining the classified type of the AI advertisement.
Fig. 10 is a schematic structural diagram of another server according to an embodiment of the present invention, where the server 1000 shown in fig. 10 includes: at least one processor 1001, memory 1002, at least one network interface 1004, and other user interfaces 1003. The various components in server 1000 are coupled together by a bus system 1005. It is understood that bus system 1005 is used to enable communications among the components connected. The bus system 1005 includes a power bus, a control bus, and a status signal bus, in addition to a data bus. But for the sake of clarity the various busses are labeled in figure 10 as the bus system 1005.
The user interface 1003 may include, among other things, a display, a keyboard, or a pointing device (e.g., a mouse, trackball, touch pad, or touch screen, among others.
It is to be understood that the memory 1002 in embodiments of the present invention may be either volatile memory or nonvolatile memory, or may include both volatile and nonvolatile memory. The non-volatile Memory may be a Read-Only Memory (ROM), a Programmable ROM (PROM), an Erasable PROM (EPROM), an Electrically Erasable PROM (EEPROM), or a flash Memory. Volatile Memory can be Random Access Memory (RAM), which acts as external cache Memory. By way of illustration and not limitation, many forms of RAM are available, such as Static random access memory (Static RAM, SRAM), Dynamic Random Access Memory (DRAM), Synchronous Dynamic random access memory (Synchronous DRAM, SDRAM), Double data rate Synchronous Dynamic random access memory (ddr DRAM), Enhanced Synchronous SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), and Direct Rambus RAM (DRRAM). The memory 1002 described herein is intended to comprise, without being limited to, these and any other suitable types of memory.
In some embodiments, memory 1002 stores the following elements, executable units or data structures, or a subset thereof, or an expanded set thereof: an operating system 10021 and applications 10022.
The operating system 10021 includes various system programs, such as a framework layer, a core library layer, a driver layer, and the like, and is used for implementing various basic services and processing hardware-based tasks. The application 10022 includes various applications, such as a Media Player (Media Player), a Browser (Browser), and the like, for implementing various application services. The program implementing the method according to the embodiment of the present invention may be included in the application program 10022.
In the embodiment of the present invention, by calling the program or the instruction stored in the memory 1002, specifically, the program or the instruction stored in the application 10022, the processor 1001 is configured to execute the method steps provided by the method embodiments, for example, the method steps include:
receiving AI advertising materials; determining a target AI advertisement template according to the AI advertisement material; determining a target variable part in the AI advertising material; generating an AI advertisement based on the target variable portion and the target AI advertisement template.
Optionally, searching a second path in the target AI advertisement template, and determining a second configuration file; replacing the second configuration file with the target variable part to generate a target second configuration file; searching a first path in the target AI advertisement template, and determining a first configuration file; generating the AI advertisement based on the first profile and the target second profile.
Optionally, determining a type of a corresponding AI advertisement based on the AI advertisement material; and matching a target AI advertisement template from the template library according to the type.
Optionally, the execution time of the target variable part in the AI advertisement is configured according to the AI advertisement material.
Optionally, the interactive scenes in the AI advertisement are configured according to different requirements corresponding to different scenes.
The method disclosed by the embodiment of the invention can be applied to the processor 1001 or can be implemented by the processor 1001. The processor 1001 may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be implemented by integrated logic circuits of hardware or instructions in the form of software in the processor 1001. The Processor 1001 may be a general-purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), an off-the-shelf programmable Gate Array (FPGA) or other programmable logic device, discrete Gate or transistor logic device, or discrete hardware components. The various methods, steps and logic blocks disclosed in the embodiments of the present invention may be implemented or performed. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of the method disclosed in connection with the embodiments of the present invention may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software elements in the decoding processor. The software elements may be located in ram, flash, rom, prom, or eprom, registers, among other storage media that are well known in the art. The storage medium is located in the memory 1002, and the processor 1001 reads the information in the memory 1002 and performs the steps of the method in combination with the hardware.
It is to be understood that the embodiments described herein may be implemented in hardware, software, firmware, middleware, microcode, or any combination thereof. For a hardware implementation, the Processing units may be implemented within one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), general purpose processors, controllers, micro-controllers, microprocessors, other electronic units configured to perform the functions described herein, or a combination thereof.
For a software implementation, the techniques described herein may be implemented by means of units performing the functions described herein. The software codes may be stored in a memory and executed by a processor. The memory may be implemented within the processor or external to the processor.
The server provided in this embodiment may be the server shown in fig. 10, and may execute all the steps of the method for generating an AI advertisement shown in fig. 4-6, so as to achieve the technical effect of the method for generating an AI advertisement shown in fig. 4-6, which is described with reference to fig. 4-6 for brevity, and is not described herein again.
The embodiment of the invention also provides a storage medium (computer readable storage medium). The storage medium herein stores one or more programs. Among others, the storage medium may include volatile memory, such as random access memory; the memory may also include non-volatile memory, such as read-only memory, flash memory, a hard disk, or a solid state disk; the memory may also comprise a combination of memories of the kind described above.
When one or more programs in the storage medium are executable by one or more processors, the method for generating an AI advertisement, which is described above, is performed on the AI advertisement generation device side.
The processor is configured to execute the AI advertisement generation program stored in the memory to implement the following steps of the AI advertisement generation method executed on the AI advertisement generation device side:
receiving AI advertising materials; determining a target AI advertisement template according to the AI advertisement material; determining a target variable part in the AI advertising material; generating an AI advertisement based on the target variable portion and the target AI advertisement template.
Optionally, searching a second path in the target AI advertisement template, and determining a second configuration file; replacing the second configuration file with the target variable part to generate a target second configuration file; searching a first path in the target AI advertisement template, and determining a first configuration file; generating the AI advertisement based on the first profile and the target second profile.
Optionally, determining a type of a corresponding AI advertisement based on the AI advertisement material; and matching a target AI advertisement template from the template library according to the type.
Optionally, the execution time of the target variable part in the AI advertisement is configured according to the AI advertisement material.
Optionally, the interactive scenes in the AI advertisement are configured according to different requirements corresponding to different scenes.
Those of skill would further appreciate that the various illustrative components and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in hardware, a software module executed by a processor, or a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The above-mentioned embodiments are intended to illustrate the objects, technical solutions and advantages of the present invention in further detail, and it should be understood that the above-mentioned embodiments are merely exemplary embodiments of the present invention, and are not intended to limit the scope of the present invention, and any modifications, equivalent substitutions, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.

Claims (14)

1. A method for generating an AI advertisement template, comprising:
determining the type of the AI advertisement;
extracting a variable part and a non-variable part from the AI advertisements of the same type according to a preset analysis strategy;
generating a replacement strategy of the AI advertisement according to the variable part;
and generating an AI advertisement template of a corresponding type according to the variable part, the non-variable part and the replacement strategy.
2. The method according to claim 1, wherein the extracting variable parts and non-variable parts from the AI advertisements of the same type according to a preset parsing strategy comprises:
defining a plurality of events and trigger conditions corresponding to the events according to the AI advertisements with the same type;
extracting the non-variable part from the AI advertisement according to the event and the trigger condition;
determining a trigger event after the event reaches the trigger condition in the AI advertisement;
the variable portion is extracted from the AI advertisement based on the trigger event.
3. The method of claim 2, comprising:
converting the variable part into a json format configuration file to generate a first configuration file;
storing the first configuration file in a first path;
generating a second configuration file by using the json format configuration file of the non-variable part;
storing the second configuration file in a second path.
4. The method of claim 1, further comprising:
determining a utilization rate of each event in the non-variant portion in a plurality of the AI advertisements of the same type;
converting the event of which the utilization rate is less than a set threshold in the non-variable part into a variable part.
5. The method of claim 1, wherein determining the type of AI advertisement comprises:
acquiring a plurality of displayed AI advertisements;
classifying the plurality of AI advertisements according to scene information, merchant information or commodity information of the AI advertisements;
determining the classified type of the AI advertisement.
6. An AI advertisement generation method, comprising:
receiving AI advertising materials;
determining a target AI advertisement template according to the AI advertisement material;
determining a target variable part in the AI advertising material;
generating an AI advertisement based on the target variable portion and the target AI advertisement template.
7. The method of claim 6, wherein generating an AI advertisement based on the target variable portion and the target AI advertisement template comprises:
searching a second path in the target AI advertisement template, and determining a second configuration file;
replacing the second configuration file with the target variable part to generate a target second configuration file;
searching a first path in the target AI advertisement template, and determining a first configuration file;
generating the AI advertisement based on the first profile and the target second profile.
8. The method of claim 6, wherein the determining a target AI ad template from the AI ad material comprises:
determining the type of the corresponding AI advertisement based on the AI advertisement material;
and matching a target AI advertisement template from the template library according to the type.
9. The method of claim 6, further comprising:
and configuring the execution time of the target variable part in the AI advertisement according to the AI advertisement material.
10. The method of claim 9, further comprising:
and configuring the interactive scenes in the AI advertisement according to different requirements corresponding to different scenes.
11. An AI advertisement template generation apparatus, comprising:
a determining module for determining a type of the AI advertisement;
the extraction module is used for extracting a variable part and a non-variable part from the AI advertisements of the same type according to a preset analysis strategy;
the generation module is used for generating a replacement strategy of the AI advertisement according to the variable part;
the generation module is further configured to generate an AI advertisement template of a corresponding type according to the variable part, the non-variable part, and the replacement policy.
12. An AI advertisement generation apparatus, comprising:
the receiving module is used for receiving AI advertising materials;
the determining module is used for determining a target AI advertisement template according to the AI advertisement material;
the determining module is further configured to determine a target variable part in the AI advertisement material;
a generation module for generating an AI advertisement based on the target variable portion and the target AI advertisement template.
13. A server, comprising: a processor and a memory, the processor being configured to execute an AI advertisement template/AI advertisement generation program stored in the memory to implement the AI advertisement template generation method of any one of claims 1 to 5 or the AI advertisement generation method of any one of claims 6 to 10.
14. A storage medium storing one or more programs executable by one or more processors to implement the method of generating an AI advertisement template according to any one of claims 1 to 5 or the method of generating an AI advertisement according to any one of claims 6 to 10.
CN201910947285.2A 2019-09-29 2019-09-29 AI advertisement template, AI advertisement generation method, AI advertisement generation device and storage medium Pending CN110930177A (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201910947285.2A CN110930177A (en) 2019-09-29 2019-09-29 AI advertisement template, AI advertisement generation method, AI advertisement generation device and storage medium
PCT/CN2020/111460 WO2021057370A1 (en) 2019-09-29 2020-08-26 Ai advertisement template generation method and device, ai advertisement generation method and device, and storage medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201910947285.2A CN110930177A (en) 2019-09-29 2019-09-29 AI advertisement template, AI advertisement generation method, AI advertisement generation device and storage medium

Publications (1)

Publication Number Publication Date
CN110930177A true CN110930177A (en) 2020-03-27

Family

ID=69848976

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201910947285.2A Pending CN110930177A (en) 2019-09-29 2019-09-29 AI advertisement template, AI advertisement generation method, AI advertisement generation device and storage medium

Country Status (2)

Country Link
CN (1) CN110930177A (en)
WO (1) WO2021057370A1 (en)

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021057370A1 (en) * 2019-09-29 2021-04-01 京东数字科技控股股份有限公司 Ai advertisement template generation method and device, ai advertisement generation method and device, and storage medium
CN112685010A (en) * 2020-12-21 2021-04-20 福建新大陆软件工程有限公司 AI application development method and system
CN113095894A (en) * 2021-06-10 2021-07-09 浙江口碑网络技术有限公司 Resource bit display method, terminal, server, electronic device and storage medium
WO2022002865A1 (en) * 2020-07-01 2022-01-06 Bakhchevan Gennadii A system and a method for personalized content presentation

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103365662A (en) * 2013-07-11 2013-10-23 合一信息技术（北京）有限公司 Method and device for advertisement putting based on stream media advertisement template
CN105678581A (en) * 2016-01-01 2016-06-15 广州筷子信息科技有限公司 Method and system for automatic typesetting of advertisement
CN106910087A (en) * 2017-01-23 2017-06-30 五彩世界（北京）文化传媒有限公司 A kind of intelligent advertisement idea generation method and system
CN108694210A (en) * 2017-04-11 2018-10-23 阿里巴巴集团控股有限公司 Template generation method and device
CN108733332A (en) * 2018-06-19 2018-11-02 山东浪潮通软信息科技有限公司 A kind of general printing template Metadata design method
CN109934642A (en) * 2019-03-29 2019-06-25 珠海豹好玩科技有限公司 A kind of advertisement generation method, methods of exhibiting and corresponding system

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9135292B1 (en) * 2013-04-08 2015-09-15 Google Inc. Selecting a template for a content item
CN104809632B (en) * 2015-05-07 2018-03-30 北京字节跳动科技有限公司 A kind of generation method and device of the dynamic advertising based on template
CN106096995B (en) * 2016-05-31 2021-09-07 腾讯科技（深圳）有限公司 Advertisement creative processing method and advertisement creative processing device
CN109711891A (en) * 2018-12-28 2019-05-03 深圳瀚德理想视界科技有限公司 A kind of system and method for realizing that autonomous advertisement is launched based on IR and AR technology
CN110930177A (en) * 2019-09-29 2020-03-27 京东数字科技控股有限公司 AI advertisement template, AI advertisement generation method, AI advertisement generation device and storage medium

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103365662A (en) * 2013-07-11 2013-10-23 合一信息技术（北京）有限公司 Method and device for advertisement putting based on stream media advertisement template
CN105678581A (en) * 2016-01-01 2016-06-15 广州筷子信息科技有限公司 Method and system for automatic typesetting of advertisement
CN106910087A (en) * 2017-01-23 2017-06-30 五彩世界（北京）文化传媒有限公司 A kind of intelligent advertisement idea generation method and system
CN108694210A (en) * 2017-04-11 2018-10-23 阿里巴巴集团控股有限公司 Template generation method and device
CN108733332A (en) * 2018-06-19 2018-11-02 山东浪潮通软信息科技有限公司 A kind of general printing template Metadata design method
CN109934642A (en) * 2019-03-29 2019-06-25 珠海豹好玩科技有限公司 A kind of advertisement generation method, methods of exhibiting and corresponding system

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2021057370A1 (en) * 2019-09-29 2021-04-01 京东数字科技控股股份有限公司 Ai advertisement template generation method and device, ai advertisement generation method and device, and storage medium
WO2022002865A1 (en) * 2020-07-01 2022-01-06 Bakhchevan Gennadii A system and a method for personalized content presentation
CN112685010A (en) * 2020-12-21 2021-04-20 福建新大陆软件工程有限公司 AI application development method and system
CN113095894A (en) * 2021-06-10 2021-07-09 浙江口碑网络技术有限公司 Resource bit display method, terminal, server, electronic device and storage medium

Also Published As

Publication number Publication date
WO2021057370A1 (en) 2021-04-01

Similar Documents

Publication Publication Date Title
CN110930177A (en) AI advertisement template, AI advertisement generation method, AI advertisement generation device and storage medium
US10558474B2 (en) Media information processing method, mobile terminal, and storage medium
US10419568B2 (en) Manipulation of browser DOM on server
JP2019520624A (en) Page component dynamic layout
CN111414166B (en) Code generation method, device, equipment and storage medium
CN110674408B (en) Service platform, and real-time generation method and device of training sample
US11144506B2 (en) Compression of log data using field types
US8671389B1 (en) Web application resource manager on the web and localizable components
US20220301118A1 (en) Image replacement inpainting
US10684826B2 (en) Method and device for page rendering and validation
US11151089B2 (en) Compression of log data using pattern recognition
US20160284382A1 (en) Method, Device And System For Playing Video
US11412312B2 (en) System and method for generating customizable encapsulated media files
CN108469955B (en) Annotation-based Android injection framework implementation method
CN109714627B (en) Comment information rendering method, device and equipment
CN112182359A (en) Feature management method and system of recommendation model
CN115309516A (en) Application life cycle detection method and device and computer equipment
CN101295382A (en) Method and device for implementing service logical relation between business object properties
CN113076094A (en) Front end component construction method and device and electronic equipment
US20180032510A1 (en) Automated translation of source code
US20080184144A1 (en) Display screen generating apparatus
US9501264B2 (en) User corrections in translation
CN116204692A (en) Webpage data extraction method and device, electronic equipment and storage medium
US10152318B2 (en) Computer system and method for executing applications with new data structures
US9146720B1 (en) Binary file application processing

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
CB02 Change of applicant information
CB02 Change of applicant information

Address after: Room 221, 2 / F, block C, 18 Kechuang 11th Street, Daxing District, Beijing, 100176

Applicant after: Jingdong Digital Technology Holding Co.,Ltd.

Address before: Room 221, 2 / F, block C, 18 Kechuang 11th Street, Daxing District, Beijing, 100176

Applicant before: JINGDONG DIGITAL TECHNOLOGY HOLDINGS Co.,Ltd.

Address after: Room 221, 2 / F, block C, 18 Kechuang 11th Street, Daxing District, Beijing, 100176

Applicant after: Jingdong Technology Holding Co.,Ltd.

Address before: Room 221, 2 / F, block C, 18 Kechuang 11th Street, Daxing District, Beijing, 100176

Applicant before: Jingdong Digital Technology Holding Co.,Ltd.

RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20200327