Advertisement reviewing method and device

Abstract

The application discloses an advertisement auditing method and device. A specific embodiment of the method comprises the following steps: determining a creative material in an advertisement creative submitted by a user; determining a similar material of the creative material from an advertisement knowledge base by an advertisement auditing intelligent agent; generating a new material according to the similar material by the advertisement auditing intelligent agent; and determining an advertisement auditing result according to the similarity between the new material and the advertisement creative of an advertisement user in an advertisement user set. The application provides an automatic advertisement auditing method, avoids the problem of human recognition which is seriously dependent on auditing personnel, reduces the difficulty of advertisement auditing, and improves the accuracy of the auditing result.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of computer technology, specifically to the field of advertising, artificial intelligence technology and computing technology, and more particularly to an advertising review method, device, computer-readable medium and electronic device. Background Art

[0002] Leveraging information technology, internet advertising has achieved explosive growth in monetization efficiency. Currently, there is a significant amount of "piggybacking" of advertising ideas from well-known brands, requiring a specific ad review process to identify and address these issues. The current creative review process involves advertising platforms establishing creative review rules and training reviewers based on these rules, allowing them to review ad creatives. Due to the unpredictable nature of piggybacking and individual cognitive differences among reviewers, the ad review process is challenging and heavily reliant on individual understanding. Summary of the Invention

[0003] The embodiments of the present application provide an advertisement review method, apparatus, computer-readable medium, and electronic device.

[0004] In a first aspect, an embodiment of the present application provides an advertising review method, including: determining creative materials in an advertising creative submitted by a user; determining similar materials of the creative materials from an advertising knowledge base through an advertising review intelligent agent; generating new materials based on similar materials through an advertising review intelligent agent; and determining an advertising review result based on the similarity between the new materials and the advertising creatives of advertising users in a set of advertising users.

[0005] In some examples, determining similar materials of the creative material from the advertising knowledge base includes: determining a first material feature of the creative material; and determining the similar material based on a similarity between the first material feature and a second material feature of a material in the advertising knowledge base.

[0006] In some examples, the advertising knowledge base includes an advertising knowledge base and a brand knowledge base, and the above-mentioned determining similar materials based on the similarity between the first material feature and the second material feature of the material in the advertising knowledge base includes: determining multiple similar materials ranked at the top in similarity based on the similarity between the first material feature and the second material feature of the material in the advertising knowledge base; determining multiple similar materials ranked at the top in similarity and having a similarity exceeding a preset similarity threshold based on the similarity between the first material feature and the second material feature of the material in the brand knowledge base.

[0007] In some examples, the above method also includes: determining the third material feature of the creative material in the historical advertising creative submitted by the user; fusing the first material feature and the third material feature to obtain a fusion feature; and the above-mentioned generating new materials based on similar materials includes: generating new materials based on the second material feature and the fusion feature corresponding to the similar materials.

[0008] In some examples, the above method also includes: adjusting the preset similarity threshold based on the corresponding operating conditions of the advertising review agent.

[0009] In some examples, the above-mentioned determination of the advertising review result based on the similarity between the new material and the advertising creativity of the advertising users in the advertising user set includes: obtaining a first review result based on the similarity between the new material and the advertising creativity of the advertising users in the advertising user set; reviewing the creative material based on preset review rules to obtain a second review result; and obtaining an advertising review result by combining the first review result and the second review result.

[0010] In the second aspect, an embodiment of the present application provides an advertising review device, including: a first determination unit, configured to determine the creative material in the advertising creativity submitted by the user; a second determination unit, configured to determine similar materials of the creative material from the advertising knowledge base through the advertising review intelligent body; a generation unit, configured to generate new materials based on similar materials through the advertising review intelligent body; a third determination unit, configured to determine the advertising review result based on the similarity between the new material and the advertising creativity of the advertising users in the advertising user set.

[0011] In some examples, the second determination unit is further configured to: determine a first material feature of the creative material; and determine similar materials based on a similarity between the first material feature and a second material feature of a material in the advertising knowledge base.

[0012] In some examples, the advertising knowledge base includes an advertising knowledge base and a brand knowledge base, and the above-mentioned second determination unit is further configured to: determine multiple similar materials with a high similarity ranking based on the similarity between the first material feature and the second material feature of the material in the advertising knowledge base; determine multiple similar materials with a high similarity ranking and a similarity exceeding a preset similarity threshold based on the similarity between the first material feature and the second material feature of the material in the brand knowledge base.

[0013] In some examples, the above-mentioned device also includes: a fusion unit, configured to: determine the third material feature of the creative material in the historical advertising creative submitted by the user; fuse the first material feature and the third material feature to obtain a fusion feature; and the above-mentioned generation unit, further configured to: generate a new material based on the second material feature and the fusion feature corresponding to the similar material.

[0014] In some examples, the above-mentioned device also includes: an adjustment unit configured to adjust the preset similarity threshold according to the corresponding operating conditions of the advertising review intelligent entity.

[0015] In some examples, the above-mentioned third determination unit is further configured to: obtain a first review result based on the similarity between the new material and the advertising creativity of the advertising users in the advertising user set; review the creative material based on preset review rules to obtain a second review result; and obtain an advertising review result by combining the first review result and the second review result.

[0016] In a third aspect, an embodiment of the present application provides a computer-readable medium having a computer program stored thereon, wherein when the program is executed by a processor, the method described in any implementation manner of the first aspect is implemented.

[0017] In a fourth aspect, an embodiment of the present application provides an electronic device comprising: one or more processors; a storage device on which one or more programs are stored, and when the one or more programs are executed by one or more processors, the one or more processors implement the method described in any implementation manner of the first aspect.

[0018] The advertising review method and device provided in the embodiments of the present application determine the creative materials in the advertising creativity submitted by the user; determine similar materials of the creative materials from the advertising knowledge base through the advertising review intelligent body; generate new materials based on the similar materials through the advertising review intelligent body; and determine the advertising review results based on the similarity between the new materials and the advertising creativity of the advertising users in the advertising user set, thereby providing an automated advertising review method, eliminating the problem of heavy reliance on the human cognition of the reviewers, reducing the difficulty of advertising review, and improving the accuracy of the review results. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Other features, objects and advantages of the present application will become more apparent upon reading the detailed description of non-limiting embodiments made with reference to the following drawings:

[0020] Figure 1 is an exemplary system architecture diagram in which an embodiment of the present application may be applied;

[0021] Figure 2 is a flow chart of an embodiment of an advertisement review method according to the present application;

[0022] Figure 3 is a schematic diagram of an application scenario of the advertisement review method according to this embodiment;

[0023] Figure 4 is a flow chart of another embodiment of the advertisement review method according to the present application;

[0024] Figure 5 is a structural diagram of an embodiment of an advertisement review device according to the present application;

[0025] Figure 6 It is a structural diagram of a computer system suitable for implementing the embodiments of the present application. DETAILED DESCRIPTION

[0026] The present application will be further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are merely for the purpose of explaining the relevant invention and are not intended to limit the invention. It should also be noted that, for ease of description, only portions relevant to the relevant invention are shown in the accompanying drawings.

[0027] It should be noted that, in the absence of conflict, the embodiments and features of the embodiments in this application can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and in combination with the embodiments.

[0028] It should be noted that the collection, collection, updating, analysis, processing, use, transmission, and storage of user personal information involved in the technical solutions disclosed herein all comply with relevant laws and regulations, are used for legitimate purposes, and do not violate public order and good morals. Necessary measures are taken with respect to user personal information to prevent unauthorized access to user personal information data and to safeguard the security of user personal information, network security, and national security.

[0029] Figure 1 An exemplary architecture 100 to which the advertisement review method and apparatus of the present application can be applied is shown.

[0030] like Figure 1 As shown, system architecture 100 may include terminal devices 101, 102, and 103, a network 104, and a server 105. The communication connections between terminal devices 101, 102, and 103 constitute a topological network, and network 104 is used to provide a medium for communication links between terminal devices 101, 102, and 103 and server 105. Network 104 may include various connection types, such as wired or wireless communication links or fiber optic cables.

[0031] The terminal devices 101, 102, 103 can interact with the server 105 via the network 104 to receive or send data, etc. The terminal devices 101, 102, 103 can be hardware devices or software that support network connection for data interaction and data processing. When the terminal devices 101, 102, 103 are hardware, they can be various electronic devices that support network connection, information acquisition, interaction, display, processing and other functions, including but not limited to smart phones, car computers, tablet computers, e-book readers, laptop computers and desktop computers, etc. When the terminal devices 101, 102, 103 are software, they can be installed in the electronic devices listed above. They can be implemented as multiple software or software modules for providing distributed services, for example, or they can be implemented as a single software or software module. No specific limitation is made here.

[0032] Server 105 may be a server that provides various services, such as a backend processing server that obtains advertising creatives submitted by users through terminal devices 101, 102, and 103 and reviews the advertising creatives through an advertising review agent. As an example, server 105 may be a cloud server.

[0033] It should be noted that the server can be either hardware or software. When the server is hardware, it can be implemented as a distributed server cluster consisting of multiple servers, or as a single server. When the server is software, it can be implemented as multiple software or software modules (e.g., software or software modules for providing distributed services), or as a single software or software module. No specific limitations are given here.

[0034] It should also be noted that the advertising review method provided in the embodiments of the present application can be executed by a server, a terminal device, or a server and a terminal device in cooperation with each other. Accordingly, the various parts (e.g., various units) included in the advertising review device can be all set in the server, all set in the terminal device, or separately set in the server and the terminal device.

[0035] It should be understood that Figure 1 The number of terminal devices, networks, and servers in the system is merely illustrative. Any number of terminal devices, networks, and servers may be provided as needed. When the electronic device on which the advertising review method is running does not need to transmit data to other electronic devices, the system architecture may only include the electronic device (e.g., a server or terminal device) on which the advertising review method is running.

[0036] Continue to refer Figure 2 , shows a process 200 of an embodiment of an advertisement review method, comprising the following steps:

[0037] Step 201: Determine the creative materials in the advertisement creative submitted by the user.

[0038] In this embodiment, the execution subject of the advertisement review method (eg Figure 1 The terminal device or server in the system can obtain the advertising creative submitted by the user remotely or locally through a wired network connection or a wireless network connection, and determine the creative materials in the advertising creative submitted by the user.

[0039] Advertising creative refers to user-submitted advertising data, commonly understood as advertising. Creative materials refer to the various materials and resources used in the production, display, and dissemination of advertising campaigns, including copy, images, audio, video, and other content. Creative materials are the concrete manifestation of advertising creativity. Through various forms of advertising materials, users can showcase their products, services, or brand image to their target audiences, conveying the advertiser's desired message and emotions.

[0040] The advertising creativity in this embodiment is provided by the user and is not automatically generated by a multi-level intelligent agent based on the user's advertising demands.

[0041] As an example, the execution entity may analyze and process the advertisement creative submitted by the user to determine the various creative materials included therein.

[0042] Step 202: Using the advertisement review agent, similar materials to the creative material are determined from the second knowledge base.

[0043] In this embodiment, the execution entity may determine similar materials of the creative material from the second knowledge base through the advertisement review agent.

[0044] The advertising review agent can automatically review advertising creatives, using neural network models such as recurrent neural network models and residual network models, as well as large language models such as GPT (Generative Pre-Trained Transformer) and BERT (Bidirectional Encoder Representations from Transformers).

[0045] The second knowledge base includes various types of rich materials. As an example, the execution entity can analyze the advertising creatives of various well-known brands known to date and generate the second knowledge base through statistics.

[0046] In this embodiment, the execution entity can use the advertisement review agent to determine the similarity between each material in the second knowledge base and the creative material; then, based on the similarity, determine similar materials to the creative material from the second knowledge base. The similarity can be determined, for example, by calculating cosine similarity, Euclidean distance, etc.

[0047] In some optional implementations of this embodiment, the execution entity may perform step 202 as follows:

[0048] First, determine the first material characteristics of the creative material.

[0049] As an example, the execution entity may extract features of the creative material through a feature extraction network to generate a first material feature of the creative material. The first material feature may be specifically represented by a feature vector.

[0050] Then, similar materials are determined based on the similarity between the first material feature and the second material feature of the materials in the second knowledge base.

[0051] In this implementation, the execution entity may use the same feature extraction network to extract the second material feature of the materials in the second knowledge base, further determine the similarity between the first material feature and the second material feature of the materials in the second knowledge base, and determine the materials in the second knowledge base whose similarity exceeds a preset threshold as similar materials. The preset threshold can be set according to actual circumstances and is not limited here.

[0052] In this implementation, a specific implementation method for determining similar materials based on material characteristics is provided, which improves the accuracy of determining similar materials.

[0053] In some optional implementations of this embodiment, the second knowledge base includes an advertising knowledge base and a brand knowledge base. The advertising knowledge base refers to advertising knowledge in the advertising field, such as advertising knowledge related to the advertising industry and advertising companies. The brand knowledge base includes various types of knowledge derived from various advertising users, such as brand trademarks, names, product names, creative images, creative videos, etc. The advertising engine supports manual entry or import of data into both the advertising knowledge base and the brand knowledge base.

[0054] In this implementation, the execution entity may perform the similar material determination process as follows:

[0055] First, based on the similarity between the first material feature and the second material feature of the material in the advertising knowledge base, a plurality of similar materials ranked top in similarity are determined.

[0056] In this implementation, the execution entity may sort the materials in the advertising knowledge base in descending order of similarity, and then determine the multiple materials ranked highest in similarity as similar materials.

[0057] Then, according to the similarity between the first material feature and the second material feature of the material in the brand knowledge base, a plurality of similar materials with a top similarity ranking and a similarity exceeding a preset similarity threshold are determined.

[0058] In this implementation, the execution entity may sort the materials in the brand knowledge base in descending order of similarity, and then determine multiple materials with higher similarity rankings and a similarity exceeding a preset similarity threshold as similar materials.

[0059] In this implementation, the second knowledge base includes an advertising knowledge base and a brand knowledge base, and similar materials are recalled separately for the two types of knowledge bases, thereby improving the richness and accuracy of similar materials.

[0060] In some optional implementations of this embodiment, the above-mentioned execution entity may also perform the following operations: adjust the preset similarity threshold according to the corresponding operation status of the advertising review intelligent entity.

[0061] The operation status is, for example, whether the user has subscribed to a service for adjusting a preset similarity threshold, wherein the degree of adjustment of the preset similarity threshold corresponds to different fees.

[0062] It can be understood that after an advertising user pays, the preset similarity threshold corresponding to the advertising user can be increased, so that the similarity between multiple similar materials returned based on the brand knowledge base and the creative materials is greater, which is more helpful to make the generated new materials similar to the advertising creativity of the advertising user, and improve the advertising review of the advertising creativity submitted by the user for the advertising user.

[0063] In this implementation, the preset similarity threshold can be flexibly adjusted based on the operating conditions to adjust the advertising creatives submitted by users to improve the advertising review of the advertising user, which helps to improve the flexibility of the review process and user experience.

[0064] Step 203: Generate new materials based on similar materials through the advertisement review agent.

[0065] In this embodiment, the above-mentioned execution entity can generate new materials based on similar materials through the advertisement review intelligent agent.

[0066] For example, Ad Review Intelligence has AIGC (Artificial Intelligence Generated Content), which can generate new materials based on similar materials. The Ad Review Agent extracts features from similar materials, obtains similar material characteristics, and then generates new materials based on these similar material characteristics.

[0067] In some optional implementations of this embodiment, the above-mentioned execution entity may further perform the following operations: determining the third material feature of the creative material in the historical advertising creative submitted by the user; and fusing the first material feature and the third material feature.

[0068] As an example, the above-mentioned execution entity can use the same feature extraction network to extract features of creative materials in historical advertising creatives submitted by users and up to the current preset time period to obtain third material features of the creative materials in the historical advertising creatives.

[0069] In this implementation, the execution entity may perform step 203 in the following manner: generating a new material according to the second material feature and the fusion feature corresponding to the similar material.

[0070] As an example, through the advertising review agent, features of similar materials are extracted to obtain similar material features, and then new materials are generated based on similar material features and fusion features.

[0071] In this implementation, historical advertising ideas submitted by users are taken into consideration during the production of new materials, and new materials are generated for advertising review by combining historical advertising ideas submitted by users with currently submitted advertising ideas, which helps to further improve the accuracy of the review results.

[0072] Step 204: Determine the advertisement review result based on the similarity between the new material and the advertisement creative ideas of the advertisement users in the advertisement user set.

[0073] In this embodiment, the execution entity may determine the advertisement review result based on the similarity between the new material and the advertisement creative ideas of the advertisement users in the advertisement user set.

[0074] The advertising user set includes all advertising users up to now, and records the advertising creative data of each advertising user.

[0075] In this embodiment, the execution entity can determine the similarity between the new material and the advertising creative of each advertiser in the set of advertisers; and then, based on the similarity, determine the ad review result. For example, if the similarity between the new material and a particular advertiser's advertising creative exceeds a preset threshold, it is determined that the user-submitted advertising creative is "piggybacking" on the advertiser. The similarity can be determined, for example, by calculating cosine similarity, Euclidean distance, or the like.

[0076] In some optional implementations of this embodiment, the execution entity may perform step 204 as follows:

[0077] First, a first review result is obtained based on the similarity between the new material and the advertising creativity of the advertising users in the advertising user set.

[0078] In this implementation, the execution entity can determine the similarity between the new material and the advertising creative of each advertiser in the set of advertisers; and then, based on the similarity, determine the first review result. For example, if the similarity between the new material and the advertising creative of a particular advertiser exceeds a preset threshold, then it is determined that the user-submitted advertising creative is "piggybacking" on the advertising user.

[0079] Then, the creative materials are reviewed based on the preset review rules to obtain a second review result.

[0080] Preset review rules are usually formulated and implemented by advertising platforms or relevant regulatory agencies to ensure that advertising content is legal, compliant, authentic, honest, and consistent with ethical and social values.

[0081] For each of the preset review rules, the execution entity may determine whether the creative material in the advertisement creative submitted by the user complies with the rule, so as to determine a second review result.

[0082] Finally, the first review result and the second review result are combined to obtain the advertisement review result.

[0083] As an example, the execution entity may integrate the first review result and the second review result to obtain an advertisement review result.

[0084] In this implementation, an advertisement review method is provided that combines two review methods to determine review results, which helps to further improve the accuracy and comprehensiveness of advertisement review results.

[0085] Continue to see Figure 3 , Figure 3 FIG3 is a schematic diagram 300 of an application scenario of the data processing method according to this embodiment. Figure 3In an application scenario, user 301 submits an ad creative to server 303 via terminal device 302. Server 303 first obtains the creative material from the user's submitted ad creative. Then, the ad review agent identifies similar materials to the creative material from an ad knowledge base. The ad review agent generates new materials based on the similar materials. The ad review result is determined based on the similarity between the new material and the ad creatives of users in the ad user set.

[0086] The method provided by the above-mentioned embodiments of the present application determines the creative materials in the advertising creativity submitted by the user; determines similar materials of the creative materials from the second knowledge base through the advertising review intelligent body; generates new materials based on the similar materials through the advertising review intelligent body; and determines the advertising review results based on the similarity between the new materials and the advertising creativity of the advertising users in the advertising user set, thereby providing an automated advertising review method, eliminating the problem of heavy reliance on the human cognition of the reviewers, reducing the difficulty of advertising review, and improving the accuracy of the review results.

[0087] Continue to refer Figure 4 , shows a schematic process 400 of another embodiment of the advertisement review method according to the present application, including the following steps:

[0088] Step 401: Determine the creative material in the advertisement creative submitted by the user.

[0089] Step 402: Determine the first material feature of the creative material.

[0090] Step 403: Determine a plurality of similar materials ranked top in similarity based on the similarity between the first material feature and the second material feature of the materials in the advertising knowledge base.

[0091] Step 404 : Based on the similarity between the first material feature and the second material feature of the material in the brand knowledge base, a plurality of similar materials with a top similarity ranking and a similarity exceeding a preset similarity threshold are determined.

[0092] Step 405: Determine the third material feature of the creative material in the historical advertising creative submitted by the user.

[0093] Step 406: Fuse the first material feature and the third material feature to obtain a fused feature.

[0094] Step 407: Generate a new material based on the second material feature and the fusion feature corresponding to the similar material.

[0095] Step 408: Obtain a first review result based on the similarity between the new material and the advertising creativity of the advertising users in the advertising user set.

[0096] Step 409: Review the creative material based on the preset review rules to obtain a second review result.

[0097] Step 410: Combine the first audit result and the second audit result to obtain an advertisement audit result.

[0098] It can be seen from this embodiment that Figure 2 Compared with the corresponding embodiments, the process 400 of the advertisement review method in this embodiment specifically illustrates the process of generating new materials and the process of determining the advertisement review results, thereby further improving the accuracy and comprehensiveness of the advertisement review results.

[0099] Continue to refer Figure 5 As an implementation of the methods shown in the above figures, the present application provides an embodiment of an advertisement review device. Figure 2 Corresponding to the method embodiment shown, the device can be specifically applied to various electronic devices.

[0100] like Figure 5 As shown, the advertising review device 500 includes: a first determination unit 501, configured to determine the creative material in the advertising creative submitted by the user; a second determination unit 502, configured to determine similar materials of the creative material from the advertising knowledge base through the advertising review intelligent body; a generation unit 503, configured to generate new materials based on similar materials through the advertising review intelligent body; a third determination unit 504, configured to determine the advertising review result based on the similarity between the new material and the advertising creative of the advertising user in the advertising user set.

[0101] In some examples, the second determining unit 502 is further configured to: determine a first material feature of the creative material; and determine similar materials based on a similarity between the first material feature and a second material feature of a material in the advertising knowledge base.

[0102] In some examples, the advertising knowledge base includes an advertising knowledge base and a brand knowledge base, and the above-mentioned second determination unit 502 is further configured to: determine a plurality of similar materials ranked at the top in similarity based on the similarity between the first material feature and the second material feature of the material in the advertising knowledge base; determine a plurality of similar materials ranked at the top in similarity and whose similarity exceeds a preset similarity threshold based on the similarity between the first material feature and the second material feature of the material in the brand knowledge base.

[0103] In some examples, the above-mentioned device also includes: a fusion unit (not shown in the figure), configured to: determine the third material feature of the creative material in the historical advertising creative submitted by the user; fuse the first material feature and the third material feature to obtain a fusion feature; and the above-mentioned generation unit 503, further configured to: generate a new material based on the second material feature and the fusion feature corresponding to similar materials.

[0104] In some examples, the above-mentioned device also includes: an adjustment unit (not shown in the figure), which is configured to adjust the preset similarity threshold according to the corresponding operating conditions of the advertising review intelligent body.

[0105] In some examples, the third determination unit 504 is further configured to: obtain a first review result based on the similarity between the new material and the advertising creativity of the advertising users in the advertising user set; review the creative material based on preset review rules to obtain a second review result; and obtain an advertising review result by combining the first review result and the second review result.

[0106] In this embodiment, the first determination unit in the advertising review device determines the creative material in the advertising creativity submitted by the user; the second determination unit determines similar materials of the creative material from the advertising knowledge base through the advertising review intelligent body; the generation unit generates new materials based on the similar materials through the advertising review intelligent body; the third determination unit determines the advertising review result based on the similarity between the new material and the advertising creativity of the advertising users in the advertising user set, thereby providing an automated advertising review device, eliminating the problem of heavy reliance on the human cognition of the reviewers, reducing the difficulty of advertising review, and improving the accuracy of the review results.

[0107] Reference below Figure 6 , which shows a device suitable for implementing the embodiments of the present application (eg Figure 1 Schematic diagram of the structure of the computer system 600 of the devices 101, 102, 103, 105 shown. Figure 6 The device shown is only an example and should not limit the functions and scope of use of the embodiments of the present application.

[0108] like Figure 6 As shown, the computer system 600 includes a processor (e.g., CPU, central processing unit) 601, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 602 or a program loaded from a storage unit 608 into a random access memory (RAM) 603. Various programs and data required for the operation of the system 600 are also stored in the RAM 603. The processor 601, ROM 602, and RAM 603 are connected to each other via a bus 604. An input / output (I / O) interface 605 is also connected to the bus 604.

[0109] The following components are connected to the I / O interface 605: an input section 606 including a keyboard, a mouse, and the like; an output section 607 including devices such as a cathode ray tube (CRT), a liquid crystal display (LCD), and a speaker; a storage section 608 including a hard disk; and a communication section 609 including a network interface card such as a LAN card or a modem. The communication section 609 performs communication processing via a network such as the Internet. A drive 610 is also connected to the I / O interface 605 as needed. A removable medium 611, such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, is installed in the drive 610 as needed, so that computer programs read therefrom can be installed into the storage section 608 as needed.

[0110] In particular, according to an embodiment of the present application, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present application includes a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from a network via the communication section 609 and / or installed from a removable medium 611. When the computer program is executed by the processor 601, the above-mentioned functions defined in the method of the present application are performed.

[0111] It should be noted that the computer-readable medium of the present application may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, device, or device. In the present application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries computer-readable program code. This propagated data signal may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device. Program code embodied on a computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wireline, optical fiber cable, RF, or any suitable combination thereof.

[0112] Computer program code for performing the operations of the present application may be written in one or more programming languages, or a combination thereof, including object-oriented programming languages ​​such as Java, Smalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the client computer, partially on the client computer, as a stand-alone software package, partially on the client computer and partially on a remote computer, or entirely on the remote computer or server. In cases involving a remote computer, the remote computer may be connected to the client computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., through the Internet using an Internet service provider).

[0113] The flowcharts and block diagrams in the accompanying drawings illustrate the possible architecture, functions and operations of the devices, methods and computer program products according to various embodiments of the present application. In this regard, each box in the flowchart or block diagram can represent a module, program segment or a part of code, and the module, program segment or a part of code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in a different order than that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram and / or flowchart, and the combination of the boxes in the block diagram and / or flowchart, can be implemented by a dedicated hardware-based system that performs the specified function or operation, or can be implemented by a combination of dedicated hardware and computer instructions.

[0114] The units involved in the embodiments described in the present application can be implemented by software or by hardware. The units described can also be set in a processor. For example, they can be described as: a processor comprising a first determination unit, a second determination unit, a generation unit, and a third determination unit. Among them, the names of these units do not constitute a limitation on the units themselves under certain circumstances. For example, the third determination unit can also be described as "a unit for determining the results of the advertising review based on the similarity between the new material and the advertising creativity of the advertising users in the advertising user set."

[0115] As another aspect, the present application also provides a computer-readable medium, which may be included in the device described in the above embodiment; or it may exist independently and not be assembled into the device. The computer-readable medium carries one or more programs, and when the one or more programs are executed by the device, the computer device: determines the creative material in the advertising creative submitted by the user; determines similar materials of the creative material from the advertising knowledge base through the advertising review intelligent agent; generates new materials based on the similar materials through the advertising review intelligent agent; and determines the advertising review result based on the similarity between the new material and the advertising creative of the advertising users in the advertising user set.

[0116] The above description is merely a preferred embodiment of the present application and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in this application is not limited to the technical solutions formed by the specific combination of the above-mentioned technical features, but also encompasses other technical solutions formed by any combination of the above-mentioned technical features or their equivalents without departing from the above-mentioned inventive concept. For example, a technical solution formed by replacing the above-mentioned features with (but not limited to) technical features with similar functions disclosed in this application.

Claims

1. An advertisement review method, comprising: Determine the creative materials in the advertising creatives submitted by users; Determine similar materials of the creative material from the advertising knowledge base through the advertising review agent; Generate new materials based on the similar materials by the advertising review agent having the artificial intelligence content generation function; An advertisement review result is determined based on similarities between the new material and advertisement creative ideas of advertisement users in the advertisement user set.

2. The method according to claim 1, wherein Determining similar materials of the creative material from the advertising knowledge base includes: determining a first material characteristic of the creative material; The similar material is determined according to the similarity between the first material feature and the second material feature of the material in the advertising knowledge base.

3. The method according to claim 2, wherein: The advertising knowledge base includes an advertising knowledge base and a brand knowledge base, and The determining the similar material according to the similarity between the first material feature and the second material feature of the material in the advertising knowledge base includes: Determining a plurality of similar materials ranked top in similarity based on similarity between the first material feature and a second material feature of a material in the advertising knowledge base; According to the similarity between the first material feature and the second material feature of the material in the brand knowledge base, a plurality of similar materials with a top similarity ranking and a similarity exceeding a preset similarity threshold are determined.

4. The method according to claim 2 or 3, wherein: Also includes: Determining a third material feature of the creative material in the historical advertising creative submitted by the user; fusing the first material feature and the third material feature to obtain a fused feature; as well as The generating of new materials based on the similar materials includes: A new material is generated according to the second material feature corresponding to the similar material and the fusion feature.

5. The method according to claim 3, wherein: Also includes: Adjust the preset similarity threshold according to the corresponding operating conditions of the advertising review agent.

6. The method according to claim 1, wherein The step of determining the advertisement review result based on the similarity between the new material and the advertisement creative ideas of the advertisement users in the advertisement user set includes: Obtaining a first review result based on similarity between the new material and the advertising creativity of the advertising users in the advertising user set; Reviewing the creative material based on preset review rules to obtain a second review result; The advertisement review result is obtained by combining the first review result and the second review result.

7. An advertisement review device, comprising: A first determining unit is configured to determine creative materials in the advertising creative submitted by the user; A second determining unit is configured to determine similar materials of the creative material from an advertising knowledge base through an advertising review agent; A generating unit is configured to generate new materials based on the similar materials by using the advertisement review agent having an artificial intelligence content generation function; The third determining unit is configured to determine an advertisement review result according to a similarity between the new material and advertisement creatives of advertisement users in the advertisement user set.

8. A computer-readable medium having a computer program stored thereon, wherein: When the program is executed by a processor, the method according to any one of claims 1 to 6 is implemented.

9. An electronic device comprising: one or more processors; a storage device having one or more programs stored thereon, When the one or more programs are executed by the one or more processors, the one or more processors implement the method according to any one of claims 1 to 6.

10. A computer program product comprising: A computer program which, when executed by a processor, implements the method according to any one of claims 1 to 6.

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