Advertisement management method and device, electronic equipment and storage medium

Abstract

The invention provides an advertisement management method and device, electronic equipment and a storage medium, and relates to the technical field of data processing. The method comprises the following steps: receiving advertisement activity information, and extracting target information in the advertisement activity information based on a pre-trained information identification model; wherein the target information comprises an advertisement name, putting time, a budget amount and a target audience; matching the target information with fields in a system form to generate a corresponding advertisement activity form; and receiving a modification operation for the advertisement activity form, correcting the advertisement activity form, and managing a corresponding advertisement based on the corrected advertisement activity form. According to the method, the key information in the advertisement activity information is accurately extracted by using the information identification model, so that the labor cost is reduced, the advertisement activity creation and updating efficiency is improved, and the error risk caused by manual operation is reduced.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to an advertisement management method, device, electronic device and storage medium. Background Art

[0002] With the rapid development of the internet advertising industry, the number of advertisers and the scale of advertising campaigns continue to grow, making the management of advertising campaigns crucial.

[0003] Related technologies typically manage advertising campaigns based on the following method: advertisers provide campaign information via email; operations personnel manually filter key information from the email and enter it line by line into a system form; and then manually save and update the campaign information. This manual approach is inefficient and prone to errors, which can affect the accuracy of advertising campaigns. Summary of the Invention

[0004] In view of this, the embodiments of the present disclosure propose an advertising management method, device, electronic device and computer-readable storage medium to solve the problems existing in the related technology, such as reliance on manual operation and low efficiency; and reliance on manual operation is prone to errors, thereby affecting the accuracy of advertising activities.

[0005] According to a first aspect of the present disclosure, there is provided an advertising management method, comprising: receiving advertising campaign information, and extracting target information from the advertising campaign information based on a pre-trained information recognition model; wherein the target information includes an advertisement name, a delivery time, a budget amount, and a target audience; matching the target information with fields in a system form to generate a corresponding advertising campaign form; receiving a modification operation for the advertising campaign form, amending the advertising campaign form, and managing corresponding advertisements based on the amended advertising campaign form.

[0006] According to a second aspect of the present disclosure, an advertising management device is provided, comprising: an information extraction module for receiving advertising campaign information and extracting target information from the advertising campaign information based on a pre-trained information recognition model; wherein the target information includes the advertisement name, delivery time, budget amount and target audience; a form generation module for matching the target information with fields in a system form to generate a corresponding advertising campaign form; and an advertising management module for receiving modification operations for the advertising campaign form, correcting the advertising campaign form, and managing corresponding advertisements based on the corrected advertising campaign form.

[0007] According to a third aspect of the present disclosure, an electronic device is provided, comprising: a processor; and a memory storing a program, wherein the program comprises instructions that, when executed by the processor, cause the processor to perform the above-mentioned advertisement management method.

[0008] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the above-mentioned advertising management method.

[0009] The exemplary embodiments of the present disclosure may have some or all of the following beneficial effects:

[0010] In the advertising management method provided in the example implementation of the present disclosure, advertising campaign information is received, and target information in the advertising campaign information is extracted based on a pre-trained information recognition model; wherein the above-mentioned target information includes the advertisement name, delivery time, budget amount and target audience; the target information is matched with the fields in the system form to generate a corresponding advertising campaign form; a modification operation for the advertising campaign form is received, the advertising campaign form is corrected, and the corresponding advertisement is managed based on the corrected advertising campaign form. The present disclosure uses a pre-trained information recognition model to extract target information from advertising campaign information and matches the target information with the corresponding fields in the system form, which can accurately extract the target information of the advertising campaign information and reduce the risk of errors caused by human operation; at the same time, compared with the method of manually screening information, it greatly reduces manual operation and improves the efficiency of creating and updating advertising campaigns; in addition, the embodiment of the present application also provides a function of correcting the advertising campaign form, so that the user can make further corrections to the generated advertising campaign form, which helps to further improve the accuracy of the advertising campaign information and improve the effect of subsequent advertising management. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] Further details, features and advantages of the present disclosure are disclosed in the following description of exemplary embodiments in conjunction with the accompanying drawings, in which:

[0012] Figure 1 A flowchart of an advertisement management method according to an exemplary embodiment of the present disclosure is shown;

[0013] Figure 2 A schematic block diagram of an advertisement management apparatus according to an exemplary embodiment of the present disclosure is shown;

[0014] Figure 3 A structural block diagram of an exemplary electronic device that can be used to implement the embodiments of the present disclosure is shown. DETAILED DESCRIPTION

[0015] The following describes embodiments of the present disclosure in more detail with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as limited to the embodiments described herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of protection of the present disclosure.

[0016] It should be understood that the various steps described in the method embodiments of the present disclosure may be performed in different orders and / or in parallel. In addition, the method embodiments may include additional steps and / or omit the steps shown. The scope of the present disclosure is not limited in this respect.

[0017] The term "including" and its variations used in this document are open inclusions, that is, "including but not limited to". The term "based on" means "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one other embodiment"; the term "some embodiments" means "at least some embodiments". The relevant definitions of other terms will be given in the description below. It should be noted that the concepts of "first", "second", etc. mentioned in this disclosure are only used to distinguish different devices, modules or units, and are not used to limit the order or interdependence of the functions performed by these devices, modules or units.

[0018] It should be noted that the modifications of "one" and "multiple" mentioned in the present disclosure are illustrative rather than restrictive, and those skilled in the art should understand that unless otherwise clearly indicated in the context, they should be understood as "one or more".

[0019] The names of the messages or information exchanged between multiple devices in the embodiments of the present disclosure are only used for illustrative purposes and are not used to limit the scope of these messages or information.

[0020] The embodiments of the present disclosure provide an advertisement management method, apparatus, electronic device, and computer-readable storage medium. The following describes the solutions of the present disclosure with reference to the accompanying drawings.

[0021] The present disclosure embodiment first provides an advertisement management method. Figure 1 As shown, the advertising management method specifically includes the following steps:

[0022] S110: Receive advertising campaign information and extract target information from the advertising campaign information based on a pre-trained information recognition model; wherein the target information includes the advertisement name, delivery time, budget amount, and target audience;

[0023] S120: Match the target information with the fields in the system form to generate a corresponding advertising campaign form;

[0024] S130: receiving a modification operation on the advertising campaign form, revising the advertising campaign form, and managing corresponding advertisements based on the revised advertising campaign form.

[0025] The present disclosure utilizes a pre-trained information recognition model to extract target information from advertising campaign information, and matches the target information with the corresponding fields in the system form, which can accurately extract the target information of the advertising campaign information and reduce the risk of errors caused by manual operation; at the same time, compared with the method of manually screening information, it greatly reduces manual operation and improves the efficiency of creating and updating advertising campaigns; in addition, the embodiment of the present application also provides a function of correcting the advertising campaign form, so that the user can further correct the generated advertising campaign form, which helps to further improve the accuracy of the advertising campaign information and improve the effect of subsequent advertising management.

[0026] Next, in another embodiment, the above steps are described in more detail.

[0027] In step S110, advertising campaign information is received, and target information in the advertising campaign information is extracted based on a pre-trained information recognition model; wherein the target information includes advertisement name, delivery time, budget amount and target audience.

[0028] In the present application, the aforementioned advertising campaign information refers to the various data and content involved in the planning, execution, and evaluation of advertising campaigns. Its integrity and accuracy directly impact the effectiveness of advertising and the achievement of marketing objectives. For example, the aforementioned advertising campaign information includes basic ad attribute information, delivery strategy information, and monitoring and evaluation information. Among them, the above-mentioned basic attribute information may include information such as activity identification, time parameters and budget allocation. The above-mentioned activity identification includes information such as advertisement name and customer name. For example, the above-mentioned activity identification may be as follows: "618 Sports Shoes Promotion" or "Customer A-Summer New Product Promotion". The above-mentioned time parameters include information such as the start and end time of the advertisement. The above-mentioned budget allocation includes information such as the total advertising budget and the sub-channel budget allocated to each advertising channel. The above-mentioned delivery strategy information may include information such as target audience, delivery channel and delivery form. The above-mentioned target audience may include information such as the audience's age, gender, region and interest tags. The above-mentioned delivery channel may include information such as the platform for advertising and the type of advertising position (information flow, splash screen advertising). The above-mentioned delivery form includes information such as the creative type of the advertisement (video, graphic, live broadcast), material size, etc. The above-mentioned monitoring and evaluation information may include information such as effect indicators and feedback data. The above-mentioned effect indicators include exposure, click-through rate, conversion rate and return on investment. The above-mentioned feedback data includes user comments, public opinion monitoring results and comparison of competing product delivery data.

[0029] In an embodiment of the present application, for example, receiving the advertising campaign information may be achieved by receiving an email from an advertiser, the email including the advertising campaign information. Specifically, the content of the email may be as follows: "Hello, we plan to promote new sports shoes with a budget of 150,000 yuan, from July 1 to July 31, 2025, and the target audience is women aged 25-35."

[0030] In the embodiments of the present application, the target information is information that has a significant impact on the planning, execution, monitoring, and evaluation of an advertising campaign and can directly reflect the core elements and key links of the advertising campaign. For example, the target information may include the ad title, delivery time, budget amount, and target audience.

[0031] In an embodiment of the present application, the information recognition model is used to extract the target information from the advertising campaign information. For example, the information recognition model can be a large AI model based on a deep learning architecture (Transformer architecture), which can perform natural language processing, target information extraction, and other processing on the advertising campaign information.

[0032] In the embodiment of the present application, taking the example of sending advertising campaign information via email, the above-mentioned information recognition model can be trained through the following process, which specifically includes the following steps:

[0033] S1: Obtain training data and perform data preprocessing.

[0034] In an embodiment of the present application, the aforementioned acquisition of training data can be achieved by collecting email data. Specifically, this can be achieved by collecting a large number of emails related to advertising campaigns. The emails should contain a variety of formats, expressions, and business scenarios to ensure that the information recognition model obtained through subsequent training can learn diverse information. For example, the emails may contain different types of content, such as the ad name, delivery time, budget, and target audience.

[0035] In the embodiment of the present application, after collecting the above-mentioned email data, it is further necessary to annotate the collected email data to clarify the location and category of each key information (i.e., the above-mentioned target information) in the email. For example, information such as the advertisement name and delivery time mentioned in the email can be marked so that the information recognition model obtained by subsequent training can learn how to accurately extract this information from the email.

[0036] In the embodiment of the present application, the data preprocessing process can be implemented as follows: the email text is cleaned to remove unnecessary characters and punctuation marks, and the text is converted to a unified text format. At the same time, the email text is segmented to break it into individual words or tokens to facilitate processing by the information recognition model.

[0037] S2: Determine a pre-trained model and fine-tune the pre-trained model based on the labeled and pre-processed email data to obtain an information recognition model.

[0038] In the embodiments of the present application, the process of training the information recognition model can be specifically implemented as follows: selecting a pre-trained model based on the Transformer architecture; using the labeled and pre-processed email data, adjusting the model parameters, and fine-tuning the pre-trained model to obtain the information recognition model, making it more suitable for extracting information from advertising campaign emails. For example, hyperparameters such as the model's learning rate and number of training rounds are set to ensure that the model achieves good performance on the email data.

[0039] S3: Build a named entity recognition model based on the fine-tuned information recognition model.

[0040] For example, the process of constructing the above-mentioned named entity recognition model can be specifically implemented by the following steps:

[0041] S31: Define entity types: Identify the key information types that need to be extracted from emails, such as ad name, delivery time, budget, target audience, etc. These entity types will serve as targets for model recognition;

[0042] S32: Build a Named Entity Recognition (NER) model: Based on the fine-tuned NER model, a named entity recognition model is built. This NER model's task is to identify words or phrases belonging to various entity types within email text. For example, it might identify "June 1st - June 20th, 2025," which indicates the delivery date in an email.

[0043] S33: Use the labeled email data to train the NER model and continuously optimize the model performance. For example, methods such as cross-validation can be used to evaluate the accuracy and generalization ability of the NER model.

[0044] In an embodiment of the present application, illustratively, the above-mentioned extraction of target information from advertising campaign information based on a pre-trained information recognition model can be implemented as follows: parsing the advertising campaign information through a prompt word project to extract the target information from the advertising campaign information; locating the target entity corresponding to the target information through named entity recognition technology, and mapping the target information to the corresponding field of the system form based on the target entity. Specifically, the information recognition model can be used to semantically understand the email content through a prompt word project to identify and extract the target information of the advertising campaign (such as the name of the advertisement, the time of delivery, the budget, the target audience, etc.), and combine it with the named entity recognition technology to accurately locate the key fields in the email (i.e., the above-mentioned target entities), such as the date, amount, keyword, etc., and map them to the corresponding fields of the system form. For example, the information recognition model can be used to extract target information such as the advertisement name "Promoting new sports shoes", the advertisement budget "budget of 150,000 yuan", the delivery time "July 1-July 31, 2025", and the target audience "25-35 years old women" from the above-mentioned email content.

[0045] Since the above-mentioned information recognition model based on the Transformer architecture has a strong contextual understanding capability, the embodiment of the present application can also understand the meaning of each word according to the contextual information of the email text through the above-mentioned information recognition model, and complete the information not mentioned in the email. Exemplarily, the process can be implemented as follows: based on the information recognition model, the contextual information of the advertising campaign information is used to generate default values for the missing values in the advertising campaign information. For example, when "this campaign" is mentioned in the email, the information recognition model can infer which specific advertising campaign is being referred to through the contextual information; or, when the delivery time of the advertisement is not clearly mentioned in the email, a reasonable default value can be inferred and generated based on the context.

[0046] In step S120 , the target information is matched with the fields in the system form to generate a corresponding advertising campaign form.

[0047] In the embodiment of the present application, the above-mentioned system form is a structured document or interface for collecting, displaying and processing advertisement-related data.

[0048] In the embodiment of the present application, the above-mentioned advertising campaign form is a form generated by matching target information with corresponding fields in the system form.

[0049] For example, the aforementioned matching of target information with fields in a system form to generate a corresponding advertising campaign form can be achieved as follows: the target information extracted by the information recognition model is automatically matched with the fields in the system form to generate a complete advertising campaign form. Furthermore, the advertising management method provided in the embodiments of the present application preferably supports batch processing, allowing for simultaneous parsing of multiple emails and generation of multiple advertising campaign forms, significantly improving processing efficiency.

[0050] Specifically, taking the email content above as an example: "Hello, we plan to promote new sports shoes with a budget of 150,000 yuan, from July 1 to July 31, 2025, and the target audience is women aged 25-35", the extracted and completed target information is mapped to the system form fields, and the generated advertising campaign form can be shown in Table 1 below:

[0051] Table 1:

[0052] System fields Extract value / complete value Advertisement Name Promote new sports shoes Advertising budget 150000 Delivery start time 2025-07-01 Delivery end time 2025-07-31 Target audience Women aged 25-35

[0053] In step S130 , a modification operation on the advertising campaign form is received, the advertising campaign form is revised, and corresponding advertisements are managed based on the revised advertising campaign form.

[0054] In an embodiment of the present application, interactive operations for the advertising campaign form are provided to the operator through a visual user interface. For example, the operator can view the advertising campaign table generated by the above process through the user interface, mark the error fields in red, and support the correction function for the advertising campaign form.

[0055] In an embodiment of the present application, for example, receiving a modification operation on an advertising campaign form and modifying the advertising campaign form may be implemented as follows: receiving a modification operation performed by a user on the advertising campaign form and modifying the advertising campaign form accordingly based on the modification operation. Specifically, if an ad name in the advertising campaign form is incorrect, the user may manually modify the ad name.

[0056] In an embodiment of the present application, error checking can also be performed on the target information based on preset rules, and corresponding correction suggestions can be generated so that the user can subsequently correct the erroneous information in the advertising campaign form with one click based on the correction suggestions. Exemplarily, the correction process can be implemented as follows: correction suggestions are displayed through the user interface; in response to the user selecting the correction suggestion, the advertising campaign form is corrected based on the correction suggestion corresponding to the selected operation. Specifically, when the user views the advertising campaign form, the correction suggestion can pop up at the corresponding location of the error information, and when the user selects the correction suggestion, the error information can be corrected with one click based on the correction suggestion.

[0057] In an embodiment of the present application, illustratively, the error check of the target information based on the preset rules may include the following checks: format check of the advertisement name; logical rationality check of the budget amount and delivery time. Specifically, the preset rules may be as follows: the advertisement name check logic is: the advertisement name is a combination of letters and numbers, cannot be pure English letters or pure numbers, and the length is generally required to be greater than 10; the budget amount check logic is: it cannot be lower than the minimum budget requirement of the advertisement delivery platform; the delivery time check logic is: the time format is a predefined unified format. For example, when it is detected that the name of an email advertisement is "618", since the advertisement name is pure numbers and the length is less than 10, an error may be marked and a modification suggestion may be generated: 618 product promotion; if the delivery time is 3 days, the advertisement budget is filled in as 500 yuan in the advertisement activity form, and it is judged that the advertisement budget is lower than the minimum budget requirement of 1,000 yuan of the advertisement delivery platform, the system will automatically mark and generate a correction suggestion: "The budget needs to be ≥ 1,000 yuan, is it adjusted to 1,000 yuan?"

[0058] In this embodiment of the present application, adaptive learning and performance improvement of the model can also be achieved based on user operations and correction records. For example, if an advertiser uses "Return on Investment (ROI) target is 200%" as an email title three times in a row, "ROI target" will be automatically added to the keyword extraction rules to avoid missing key information.

[0059] The advertising management method provided by the embodiments of the present application has the following beneficial effects: it uses a pre-trained information recognition model to extract key information from advertising campaign information, greatly reducing manual operations and significantly improving the efficiency of creating and updating advertising campaigns; it uses natural language processing technology to accurately extract key information from emails, reducing the risk of errors caused by manual operations; it supports batch processing and real-time synchronization of advertising campaign information, can quickly respond to changes in advertisers' needs, and improve customer satisfaction; it reduces human resource investment and reduces operating costs.

[0060] The above mainly introduces the solution provided by the embodiment of the present invention from the perspective of method. In order to realize the above functions, it includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should easily realize that, in combination with the units and algorithm steps of each example described in the embodiments disclosed herein, the present invention can be implemented in the form of hardware or a combination of hardware and computer software. Whether a function is executed in the form of hardware or computer software driving hardware depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0061] In embodiments of the present invention, the advertising management device can be divided into functional modules based on the above-described method examples. For example, each functional module can be divided into corresponding functional modules, or two or more functions can be integrated into a single processing module. The above-mentioned integrated modules can be implemented in the form of hardware or software functional modules. It should be noted that the module division in the embodiments of the present invention is illustrative and merely represents a logical functional division. In actual implementation, other division methods may be used.

[0062] Accordingly, the embodiment of the present disclosure also provides an advertisement management device. Figure 2 As shown, the advertisement management device 200 may include an information extraction module 210, a form generation module 220, and an advertisement management module 230, wherein:

[0063] The information extraction module 210 is configured to receive advertising campaign information and extract target information from the advertising campaign information based on a pre-trained information recognition model; wherein the target information includes the advertisement name, delivery time, budget amount, and target audience;

[0064] Form generation module 220, for matching target information with fields in a system form to generate a corresponding advertising campaign form;

[0065] The advertisement management module 230 is configured to receive a modification operation on an advertisement campaign form, amend the advertisement campaign form, and manage corresponding advertisements based on the amended advertisement campaign form.

[0066] In an embodiment of the present application, the above-mentioned information extraction module is specifically used to: parse the advertising campaign information through prompt word engineering to extract the target information in the advertising campaign information; locate the target entity corresponding to the target information through named entity recognition technology, and map the target information to the corresponding field of the system form based on the target entity.

[0067] In the embodiment of the present application, the above information extraction module is further configured to: generate default values for missing values in the advertising campaign information by using the context information of the advertising campaign information based on the information recognition model.

[0068] In the embodiment of the present application, the above-mentioned advertisement management module is specifically used to: provide visual operations for the advertisement campaign form through the user interface; receive modification operations performed by the user on the advertisement campaign form, and modify the advertisement campaign form accordingly based on the modification operations.

[0069] In an embodiment of the present application, the above-mentioned advertisement management module is further used to: perform error checking on the target information based on preset rules and generate corresponding correction suggestions.

[0070] In an embodiment of the present application, the above-mentioned advertising management module is further used to: display correction suggestions through the user interface; and in response to the user's selection operation of the correction suggestion, correct the advertising campaign form based on the correction suggestion corresponding to the selection operation.

[0071] In an embodiment of the present application, the above-mentioned advertising management module is also used to: perform format verification on the advertisement name; and perform logical rationality verification on the budget amount and delivery time.

[0072] The specific implementation details of the above-mentioned advertisement management device have been described in detail in the corresponding position of the advertisement management method, so they will not be repeated here.

[0073] Figure 3 This is a schematic diagram of the structure of an electronic device in the embodiment of the present disclosure. Figure 3 , which shows a structural diagram of an electronic device 300 suitable for implementing the embodiments of the present disclosure. Figure 3 The electronic device shown is only an example and should not limit the functions and scope of use of the embodiments of the present disclosure.

[0074] like Figure 3 As shown, the electronic device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 302 or a program loaded from a storage device 308 into a random access memory (RAM) 303 to implement the advertising management method of the embodiment described in the present disclosure. Various programs and data required for the operation of the electronic device 300 are also stored in the RAM 303. The processing device 301, ROM 302, and RAM 303 are connected to each other via a bus 304. An input / output (I / O) interface 305 is also connected to the bus 304.

[0075] Typically, the following devices may be connected to the I / O interface 305: an input device 306 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 308 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 309. The communication device 309 may allow the electronic device 300 to communicate with other devices wirelessly or by wire to exchange data. Figure 3 The electronic device 300 is shown with various devices, but it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed instead.

[0076] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart, thereby implementing the advertising management method described above. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device 309, or installed from the storage device 308, or installed from the ROM 302. When the computer program is executed by the processing device 301, the above-mentioned functions defined in the method of the embodiment of the present disclosure are performed.

[0077] It should be noted that the computer-readable medium mentioned above in the present disclosure may be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, 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 disclosure, 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 component. In the present disclosure, 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. Such a 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. The program code contained on the computer-readable medium may be transmitted using any suitable medium, including but not limited to wires, optical cables, RF (radio frequency), etc., or any suitable combination thereof.

[0078] In some embodiments, the client and server can communicate using any currently known or future developed network protocol, such as HTTP (Hypertext Transfer Protocol), and can be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0079] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0080] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device:

[0081] Receive advertising campaign information and extract target information from the advertising campaign information based on a pre-trained information recognition model; wherein the target information includes the advertisement name, delivery time, budget amount, and target audience;

[0082] Match target information with fields in the system form to generate the corresponding campaign form;

[0083] Receive a modification operation on the advertising campaign form, amend the advertising campaign form, and manage corresponding advertisements based on the amended advertising campaign form.

[0084] Optionally, when the above one or more programs are executed by the electronic device, the electronic device may also execute other steps described in the above embodiments.

[0085] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages, or a combination thereof, including, but not limited to, 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 user's computer, partially on the user's computer, as a stand-alone software package, partially on the user's 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 user's 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).

[0086] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present disclosure. 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 with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0087] The units involved in the embodiments described in this disclosure may be implemented in software or hardware, wherein the name of a unit does not necessarily limit the unit itself.

[0088] The functions described above herein may be performed, at least in part, by one or more hardware logic components. For example, and without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chip (SOCs), complex programmable logic devices (CPLDs), and the like.

[0089] In the context of the present disclosure, a machine-readable medium can be a tangible medium that can contain or store a program for use by or in conjunction with an instruction execution system, device or equipment. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium can include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or equipment, or any suitable combination of the foregoing. A more specific example of a machine-readable storage medium can include an electrical connection based on one or more lines, 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 foregoing.

[0090] The above description is merely a preferred embodiment of the present disclosure and an illustration of the technical principles employed. Those skilled in the art should understand that the scope of disclosure involved in the present disclosure is not limited to the technical solutions formed by the specific combination of the above-mentioned technical features, but also includes other technical solutions formed by any combination of the above-mentioned technical features or their equivalents without departing from the above-mentioned disclosed concepts. 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 disclosure.

[0091] In addition, although each operation is described in a specific order, this should not be understood as requiring these operations to be performed in the specific order shown or in a sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Similarly, although some specific implementation details have been included in the above discussion, these should not be interpreted as limiting the scope of the present disclosure. Some features described in the context of a separate embodiment can also be implemented in a single embodiment in combination. On the contrary, the various features described in the context of a single embodiment can also be implemented in multiple embodiments individually or in any suitable sub-combination mode.

[0092] Although the subject matter has been described in language specific to structural features and / or methodological logical acts, it should be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are merely example forms of implementing the claims.

Claims

1. An advertising management method, characterized in that: The method comprises: Receive advertising campaign information and extract target information from the advertising campaign information based on a pre-trained information recognition model; wherein the target information includes advertisement name, delivery time, budget amount, and target audience; Match the target information with the fields in the system form to generate a corresponding advertising campaign form; A modification operation for the advertising campaign form is received, the advertising campaign form is revised, and corresponding advertisements are managed based on the revised advertising campaign form.

2. The advertising management method according to claim 1, characterized in that: The extracting target information from the advertising campaign information based on a pre-trained information recognition model includes: parsing the advertising campaign information through a prompt word project to extract the target information from the advertising campaign information; The target entity corresponding to the target information is located by using named entity recognition technology, and the target information is mapped to the corresponding field of the system form based on the target entity.

3. The advertising management method according to claim 2, characterized in that: The extracting target information from the advertising campaign information based on the pre-trained information recognition model further includes: A default value is generated for a missing value in the advertising campaign information based on the information identification model and using context information of the advertising campaign information.

4. The advertising management method according to claim 1, characterized in that: The receiving a modification operation on the advertising campaign form and revising the advertising campaign form includes: providing visual operations for the advertising campaign form through a user interface; A modification operation performed by a user on the advertising campaign form is received, and the advertising campaign form is modified accordingly based on the modification operation.

5. The advertising management method according to claim 4, characterized in that: The method further comprises: The target information is error-checked based on preset rules, and corresponding correction suggestions are generated.

6. The advertisement management method according to claim 5, characterized in that: The receiving a modification operation performed by a user on the advertising campaign form and modifying the advertising campaign form accordingly based on the modification operation includes: displaying the correction suggestion through the user interface; In response to the user selecting the revision suggestion, the advertising campaign form is revised based on the revision suggestion corresponding to the selection operation.

7. The advertisement management method according to claim 5, characterized in that: The performing error checking on the target information based on a preset rule includes: Performing format check on the advertisement name; Perform a logical rationality check on the budget amount and the delivery time.

8. An advertisement management device, characterized in that: The device comprises: An information extraction module is configured to receive advertising campaign information and extract target information from the advertising campaign information based on a pre-trained information recognition model; wherein the target information includes the advertisement name, delivery time, budget amount, and target audience; A form generation module, configured to match the target information with the fields in the system form and generate a corresponding advertising campaign form; The advertisement management module is configured to receive a modification operation on the advertisement campaign form, amend the advertisement campaign form, and manage corresponding advertisements based on the amended advertisement campaign form.

9. An electronic device comprising: processor; and a memory storing a program, wherein the program includes instructions for causing the processor to execute the method according to any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium storing computer instructions, wherein: The computer instructions are used to cause the computer to execute the method according to any one of claims 1 to 7.

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