Advertisement auditing method and device

Abstract

The invention discloses an advertisement auditing method and device. One specific embodiment of the method comprises the following steps: determining a creative material in an advertisement creative submitted by a user; determining similar materials of the creative materials from an advertisement knowledge base through an advertisement auditing agent; generating a new material according to the similar material through an advertisement auditing agent; and determining an advertisement auditing result according to the similarity between the new material and the advertisement originality of the advertisement users in the advertisement user set. According to the automatic advertisement auditing method, the problem of serious dependence on human body cognition of auditing personnel is completely eradicated, the difficulty of advertisement auditing is reduced, and the accuracy of an auditing result is improved.

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 in particular to an advertising review method, device, computer-readable medium and electronic device. Background Art

[0002] With the help of information technology, Internet advertising has achieved explosive growth in monetization efficiency. There are many behaviors of "riding" advertising ideas of well-known brands in current Internet advertising, which need to be determined through the review process for advertising. The current creative review process is: the advertising platform formulates creative review rules, trains reviewers based on the rules, and then the reviewers review the advertising ideas. Due to the borderless nature of "riding" behavior and the individual cognitive differences of reviewers, the judgment of the advertising review process is difficult and heavily dependent on personal cognitive level. Summary of the invention

[0003] The embodiments of the present application provide an advertisement review method, device, 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 advertising ideas submitted by users; 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 ideas 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 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; determining a plurality of 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 fused feature; and the above-mentioned generating new materials based on similar materials includes: generating new materials based on the second material feature and the fused feature corresponding to the similar materials.

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

[0009] In some examples, the above-mentioned determining 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 the 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 creative materials in advertising creatives submitted by users; a second determination unit, configured to determine similar materials of the creative materials from an advertising knowledge base through an advertising review intelligent body; a generation unit, configured to generate new materials based on similar materials through an advertising review intelligent body; and a third determination unit, configured to determine the advertising review result based on the similarity between the new material and the advertising creatives of advertising users in a set of advertising users.

[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 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.

[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 similar materials.

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

[0015] In some examples, the 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 by 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 in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are only used to explain the relevant invention, rather than to limit the invention. It should also be noted that, for ease of description, only the parts related 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 in the embodiments of the present 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, storage and other aspects of user personal information involved in the technical solution of this disclosure are in compliance with the provisions of relevant laws and regulations, are used for legitimate purposes, and do not violate public order and good morals. Necessary measures are taken for user personal information to prevent illegal access to user personal information data and maintain 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, the system architecture 100 may include terminal devices 101, 102, 103, a network 104 and a server 105. The communication connection between the terminal devices 101, 102, 103 constitutes a topological network, and the network 104 is used to provide a medium for the communication link between the terminal devices 101, 102, 103 and the server 105. The network 104 may include various connection types, such as wired, wireless communication links or optical fiber cables, etc.

[0031] The terminal devices 101, 102, 103 can interact with the server 105 through 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 portable computers and desktop computers, etc. When the terminal devices 101, 102, 103 are software, they can be installed in the electronic devices listed above. It can be implemented as multiple software or software modules for providing distributed services, for example, or it can be implemented as a single software or software module. No specific limitation is made here.

[0032] The server 105 may be a server that provides various services, for example, a background processing server that obtains advertisement ideas submitted by users through the terminal devices 101, 102, 103 and reviews the advertisement ideas through an advertisement review agent. As an example, the server 105 may be a cloud server.

[0033] It should be noted that the server can be hardware or software. When the server is hardware, it can be implemented as a distributed server cluster consisting of multiple servers, or it can be implemented as a single server. When the server is software, it can be implemented as multiple software or software modules (for example, software or software modules used to provide distributed services), or it can be implemented as a single software or software module. No specific limitation is made here.

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

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

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

[0039] Advertising creativity refers to the advertising data submitted by users, that is, advertising in the general sense. Creative materials refer to the various materials and materials used to produce, display and disseminate in advertising activities, including copywriting, pictures, audio, video and other content. Creative materials are the specific manifestations of advertising creativity. Through different forms of advertising materials, users can show products, services or brand images to the target audience and convey the information and emotions that advertisers want to express.

[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: determine similar materials of the creative material from the second knowledge base through the advertisement review agent.

[0043] In this embodiment, the above-mentioned execution subject can determine similar materials of the creative material from the second knowledge base through the advertisement review intelligent agent.

[0044] The advertising review agent can automatically review advertising creativity, using neural network models such as recurrent neural network models and residual network models, and 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 subject can perform material analysis on the advertising creativity of various well-known brands known so far, and obtain the second knowledge base through statistics.

[0046] In this embodiment, the execution subject can determine the similarity between each material in the second knowledge base and the creative material through the advertisement review agent, and then determine similar materials of the creative material from the second knowledge base according to the similarity. The similarity can be determined by calculating cosine similarity, Euclidean distance, etc.

[0047] In some optional implementations of this embodiment, the execution subject may perform step 202 in the following manner:

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

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

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

[0051] In this implementation, the execution subject may use the same feature extraction network to extract the second material feature of the material in the second knowledge base, and then determine the similarity between the first material feature and the second material feature of the material in the second knowledge base, and determine the material in the second knowledge base whose similarity exceeds a preset threshold as a similar material. The preset threshold can be specifically set according to actual conditions 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 types of advertising users, such as brand trademarks, names, product names, creative images, creative videos, etc. For the two knowledge bases, the advertising knowledge base and the brand knowledge base, the advertising engine supports manual entry or import to write data to the two types of knowledge bases respectively.

[0054] In this implementation, the execution subject may perform the similar material determination process in the following manner:

[0055] First, according to 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 at the top 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 the highest similarity ranking 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 for the two types of knowledge bases respectively, thereby improving the richness and accuracy of similar materials.

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

[0061] The operation status is, for example, whether the user has subscribed to the adjustment service for the preset similarity threshold, wherein the adjustment degree 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, thereby improving 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 creative submitted by the user 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, through the advertisement review agent, new materials are generated based on similar materials.

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

[0066] As an example, the advertising review intelligence has the AIGC (Artificial Intelligence Generated Content) function, which can generate new materials based on similar materials. Through the advertising review intelligent body, similar materials are feature extracted to obtain similar material features, and then new materials are generated based on similar material features.

[0067] In some optional implementations of this embodiment, the above-mentioned execution subject may also 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 extract features of creative materials in historical advertising creatives submitted by users and up to the current preset time period through the same feature extraction network to obtain the third material features of the creative materials in the historical advertising creatives.

[0069] In this implementation, the execution subject 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 advertisement 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 process of producing 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 according to the similarity between the new material and the advertisement creativity of the advertisement users in the advertisement user set.

[0073] In this embodiment, the above-mentioned execution entity can determine the advertisement review result according to the similarity between the new material and the advertisement creativity of the advertisement users in the advertisement user set.

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

[0075] In this embodiment, the above-mentioned execution subject can determine the similarity between the new material and the advertising creativity of each advertising user in the advertising user set; then, determine the advertising review result based on the similarity. For example, when the similarity between the new material and the advertising creativity of a certain advertising user exceeds a preset threshold, it is determined that the advertising creativity submitted by the user has the behavior of "freeloading" the advertising user. Among them, the similarity can be determined by calculating cosine similarity, Euclidean distance, etc.

[0076] In some optional implementations of this embodiment, the execution subject may perform step 204 in the following manner:

[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 subject can determine the similarity between the new material and the advertising creativity of each advertising user in the advertising user set; and then determine the first review result based on the similarity. For example, when the similarity between the new material and the advertising creativity of a certain advertising user exceeds a preset threshold, it is determined that the advertising creativity submitted by the user is a "piggyback" behavior of the advertising user.

[0079] Then, the creative material is 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 in line 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 to determine a second review result.

[0082] Finally, the advertisement review result is obtained by combining the first review result and the second review result.

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

[0084] In this implementation, a method for determining an advertisement audit result by combining two audit methods is provided, which helps to further improve the accuracy and comprehensiveness of the advertisement audit result.

[0085] Continue to see Figure 3 , Figure 3 FIG. 3 is a schematic diagram 300 of an application scenario of the data processing method according to this embodiment. Figure 3In the application scenario, user 301 submits an advertisement creative through terminal device 302 to server 303. Server 303 first obtains the creative material in the advertisement creative submitted by the user; then, through the advertisement review agent, similar materials of the creative material are determined from the advertisement knowledge base; through the advertisement review agent, new materials are generated based on the similar materials; and the advertisement review result is determined based on the similarity between the new material and the advertisement creative of the advertisement user in the advertisement user set.

[0086] The method provided by the above-mentioned embodiment 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, comprising the following steps:

[0088] Step 401, determining 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: According to 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.

[0091] Step 404: 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.

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

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

[0094] Step 407, generating a new material according to the second material feature and the fusion feature corresponding to the similar material.

[0095] Step 408, obtaining a first review result according to 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, combining the first review result and the second review result to obtain the advertisement review 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, 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 advertisement review device 500 includes: a first determination unit 501, configured to determine the creative material in the advertisement creative submitted by the user; a second determination unit 502, configured to determine similar materials of the creative material from the advertisement knowledge base through the advertisement review intelligent body; a generation unit 503, configured to generate new materials based on similar materials through the advertisement review intelligent body; and a third determination unit 504, configured to determine the advertisement review result based on the similarity between the new material and the advertisement creative of the advertisement user in the advertisement user set.

[0101] In some examples, the second determination unit 502 is further configured to: determine a first material feature of the creative material; and determine similar materials according to 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 is further configured to: generate a new material according to 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 operation status of the corresponding advertising review intelligent entity.

[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 a computer system 600 of the devices 101, 102, 103, 105 shown. Figure 6 The device shown is merely an example and should not bring any limitation to 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 part 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, the ROM 602, and the 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, etc.; an output section 607 including a cathode ray tube (CRT), a liquid crystal display (LCD), etc., and a speaker, etc.; a storage section 608 including a hard disk, etc.; and a communication section 609 including a network interface card such as a LAN card, a modem, etc. 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, a semiconductor memory, etc., is installed on the drive 610 as needed, so that a computer program read therefrom is 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 includes a 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 through a communication part 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 executed.

[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 above 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 containing or storing a program that can be used by or in combination with an instruction execution system, device or device. In the present application, a computer-readable signal medium may include a data signal propagated in a baseband or as part of a carrier wave, which carries a 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. Computer-readable signal media may also be any computer-readable medium other than computer-readable storage media, which may send, propagate or transmit a program for use by or in conjunction with an instruction execution system, apparatus or device. The program code contained on the computer-readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, optical cable, RF, etc., or any suitable combination of the above.

[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 separate software package, partially on the client computer and partially on a remote computer, or entirely on a remote computer or server. In the case of 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 flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the device, method and computer program product according to various embodiments of the present application. In this regard, each box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the 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 from the order 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 flow chart, and the combination of the boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs a specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0114] The units involved in the embodiments described in the present application may be implemented by software or by hardware. The described units may also be set in a processor, for example, may 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 unit itself under certain circumstances. For example, the third determination unit may also be described as "a unit for determining 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".

[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 without being assembled into the device. The above computer-readable medium carries one or more programs, and when the above 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 similar materials through the advertising review intelligent agent; determines 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.

[0116] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the above invention concept. For example, the above features are replaced with the technical features with similar functions disclosed in this application (but not limited to) by each other to form a technical solution.

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 through the advertisement review agent; The advertisement review result is determined according to the similarity between the new material and the advertisement creativity of the 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: According to 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; 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 a 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 new material according to the similar material comprises: 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: The preset similarity threshold is adjusted according to the corresponding operation status of the advertisement review intelligent entity.

6. The method according to claim 1, wherein: The step of determining the advertisement review result according to the similarity between the new material and the advertisement creativity of the advertisement users in the advertisement user set includes: Obtaining a first review result according to 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; 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 a creative material in an advertisement creative submitted by a 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, configured to generate new materials according to the similar materials through the advertisement review agent; The third determining unit is configured to determine the advertisement review result according to the similarity between the new material and the advertisement creativity of the 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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