A landing page optimization method, device, equipment and medium

Abstract

The application discloses a landing page optimization method and device, equipment and medium. When a component of a landing page needs to be optimized, the landing page to be optimized is obtained, and content information reflecting the characteristics of the landing page is extracted from the landing page. The extracted content information is input into a classification model to obtain a conversion component matched with the landing page through the classification model. The conversion component can provide the conversion rate of the landing page. The matched conversion component is added to the landing page to generate a derived landing page, thereby realizing the optimization of the landing page. That is, the technical solution provided by the application can automatically match the conversion component for the landing page, without manual optimization, thereby improving the optimization efficiency and reducing the learning cost. Meanwhile, a user browsing the landing page can interact with the landing page through the conversion component, thereby improving the user experience.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and specifically to a landing page optimization method, device, equipment and medium. Background Art

[0002] A landing page, also known as a landing page or a guide page, is a web page that is displayed to users when potential users click on multimedia content or search using a search engine. The web page will display extended content related to the clicked multimedia content or search result link.

[0003] Typically, landing pages are optimized to meet more needs. For example, conversion components can be added to landing pages. However, current optimization methods require users to manually configure conversion components, resulting in a high learning curve and hindering optimization efficiency. Summary of the Invention

[0004] In view of this, the embodiments of the present application provide a landing page optimization method, device, equipment and medium to automatically match conversion components for landing pages, improve the optimization efficiency of landing pages, and reduce learning costs.

[0005] To achieve the above objectives, the technical solutions provided by this application are as follows:

[0006] In a first aspect of the present application, a landing page optimization method is provided, characterized in that the method comprises:

[0007] Get the landing page to be optimized;

[0008] extracting content information from the landing page, where the content information reflects characteristics of the landing page;

[0009] Inputting the content information into a classification model to obtain a conversion component output by the classification model. The classification model is a pre-trained model used to determine a conversion component that matches the landing page based on the content information. The conversion component is used to enable interaction between the user and the landing page.

[0010] The conversion component is added to the landing page to generate a derived landing page, where the derived landing page includes the conversion component.

[0011] In a second aspect of the present application, a landing page optimization device is provided, the device comprising:

[0012] A first acquisition unit is used to acquire a landing page to be optimized;

[0013] an extraction unit, configured to extract content information from the landing page, wherein the content information reflects characteristics of the landing page;

[0014] A second acquisition unit is configured to input the content information into a classification model to obtain a conversion component output by the classification model, wherein the classification model is a pre-trained model configured to determine a conversion component that matches the landing page based on the content information, and wherein the conversion component is configured to enable interaction between the user and the landing page;

[0015] A generating unit is used to add the conversion component to the landing page to generate a derived landing page, wherein the derived landing page includes the conversion component.

[0016] In a third aspect of the present application, an electronic device is provided, the device comprising: a processor and a memory;

[0017] The memory is used to store instructions or computer programs;

[0018] The processor is configured to execute the instructions or computer program in the memory so that the electronic device executes the method described in the first aspect.

[0019] In a fourth aspect of the present application, a computer-readable storage medium is provided, wherein instructions are stored in the computer-readable storage medium. When the instructions are executed on a device, the device performs the method described in the first aspect.

[0020] In a fifth aspect of the present application, a computer program product is provided, wherein the computer program product comprises a computer program / instructions, and when the computer program / instructions are executed by a processor, the method described in the first aspect is implemented.

[0021] It can be seen that the embodiments of the present application have the following beneficial effects:

[0022] In an embodiment of the present application, when it is necessary to optimize the components of a certain landing page, the landing page to be optimized is obtained, and content information that can reflect the characteristics of the landing page is extracted from the landing page. The extracted content information is input into the classification model to obtain a conversion component that matches the landing page through the classification model, and the conversion component can provide the conversion rate of the landing page. The matching conversion component is added to the landing page to generate a derived landing page to achieve the optimization of the landing page. That is, the technical solution provided by the present application can automatically match the conversion component for the landing page without manual optimization, thereby improving the optimization efficiency and reducing the learning cost. At the same time, users who browse the landing page can interact with the landing page through the conversion component to enhance the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments recorded in this application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0024] Figure 1 A flowchart of a landing page optimization method provided in an embodiment of the present application;

[0025] Figure 2 A schematic diagram of a scenario for enabling landing page component optimization provided in an embodiment of the present application;

[0026] Figure 3a A schematic diagram of a display style of a consulting component provided in an embodiment of the present application;

[0027] Figure 3b A schematic diagram of a consultation page style provided in an embodiment of the present application;

[0028] Figure 4 A schematic diagram of a landing page optimization device provided in an embodiment of the present application;

[0029] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0030] In order to help those skilled in the art better understand the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of this application.

[0031] In actual applications, in order to make the landing page meet more needs, such as improving the conversion efficiency of the landing page, conversion components are usually added to the landing page to help users understand more information through the conversion components, thereby improving the conversion efficiency. However, on the one hand, because the creators of the landing page do not understand the value and benefits of the conversion components, they give up adding conversion components when creating the landing page; on the other hand, because there are many types of conversion components, such as form components, consultation components, etc., the creators cannot determine the conversion components that match the landing page during manual configuration, resulting in an unobvious optimization effect on the landing page; on the other hand, because some conversion components need to be pre-configured when added to the landing page, such as the consultation component, it is necessary to configure the consultation component style, consultation page style, question and answer question bank, etc. The configuration process is relatively cumbersome, resulting in high time and learning costs.

[0032] It is understandable that before using the technical solutions of each embodiment of the present disclosure, the type, scope of use, usage scenarios, etc. of the personal information involved will be informed to the user in an appropriate manner, and the user's authorization will be obtained.

[0033] For example, in response to a user's active request, a prompt message is sent to the user to clearly inform the user that the requested operation will require the acquisition and use of the user's personal information. This allows the user to independently choose whether to provide personal information to the electronic device, application, server, storage medium, or other software or hardware that performs the operation of the disclosed technical solution based on the prompt message.

[0034] As an optional but non-limiting implementation, in response to a user's active request, the prompt information may be sent to the user in the form of a pop-up window, in which the prompt information may be presented in text form. Furthermore, the pop-up window may also contain a selection control for the user to select "agree" or "disagree" to provide personal information to the electronic device.

[0035] It is understandable that the above notification and the process of obtaining user authorization are only illustrative and do not constitute a limitation on the implementation method of the present disclosure. Other methods that meet relevant laws and regulations may also be applied to the implementation method of the present disclosure. Based on this, the present application provides a landing page optimization method. When it is necessary to optimize the components of a certain landing page, the landing page to be optimized is obtained, and the content information corresponding to the landing page is obtained. The content information can reflect the characteristics of the landing page. The extracted content information is input into the classification model, and the classification model determines the conversion component that matches the landing page based on the content information, thereby realizing automatic optimization of the conversion component in the landing page. The determined conversion component is added to the landing page to obtain a derived landing page to achieve the optimization of the landing page. That is, the present application can automatically optimize the conversion component in the landing page without manual configuration, thereby reducing the optimization cost. Moreover, the conversion component determined by the present application matches the landing page, and the interaction between the user and the landing page can be realized through the conversion component, which can not only enhance the user experience, but also help to improve the conversion rate of the landing page.

[0036] To facilitate understanding of the improved technical solutions of the embodiments of the present application, the following description will be given with reference to the accompanying drawings.

[0037] See Figure 1, which shows a landing page optimization method provided by an embodiment of the present application. The method can be executed by a landing page optimization device, which can be a server or an electronic device. Among them, the electronic device can include mobile phones, tablet computers, laptops, desktop computers, vehicle terminals, wearable electronic devices, all-in-one machines, smart home devices and other devices with communication functions, and can also be devices simulated by virtual machines or simulators. Figure 1 As shown, the method may include the following steps:

[0038] S101: Get the landing page to be optimized.

[0039] In this embodiment, when the conversion component of a landing page needs to be optimized, a landing page to be optimized is obtained. The landing page to be optimized can be a published landing page or a created but unpublished landing page. Furthermore, the landing page to be optimized can already include some conversion components. After optimization, a more optimal conversion component is matched to the landing page.

[0040] In one embodiment of the present disclosure, to allow the creator of a landing page to choose whether to optimize the conversion component of the landing page based on actual needs, an optimization function switch control can be configured for the landing page. In response to receiving a trigger operation to enable the landing page optimization function, the landing page is retrieved. In other words, when the creator of the landing page chooses to optimize the landing page, the landing page is retrieved for subsequent optimization processing. The creator can decide whether to optimize the landing page to improve the user experience.

[0041] Specifically, when a creator creates a landing page through a website building platform, the platform will assign a unique identifier to the created landing page, so that the platform can obtain the landing page through the unique identifier. When the creator chooses to optimize the landing page, the corresponding landing page will be found based on the unique identifier.

[0042] For example, Figure 2 The schematic diagram of the website building platform scenario shown shows a landing page intelligent optimization control "Settings" 201 on the site publishing page. When the creator triggers this control, the landing page intelligent optimization page is accessed, which includes controls 202 and 203 for turning on content intelligent optimization, as well as controls 204 and 205 for turning on component intelligent optimization. In response to triggering control 204 for turning on component intelligent optimization, the landing page is retrieved and the subsequent component optimization operations S102-S103 are executed. In response to triggering control 202 for turning on content intelligent optimization, the landing page is retrieved and content optimization operations are executed.

[0043] S102: Extracting content information from the landing page, where the content information can reflect the characteristics of the landing page.

[0044] After obtaining the landing page to be optimized, content information will be extracted from the landing page. The content information can reflect the characteristics of the landing page, so as to determine the conversion component that matches the landing page based on the content information.

[0045] The content information may include both plain text information and abstract information within the landing page. Plain text information includes user-recognizable text within the landing page, such as characters within images inserted within the landing page, characters within a video, and text information matched to the landing page. Characters within images and videos may be acquired using optical character recognition (OCR) technology.

[0046] Abstract information includes information that needs to be represented on the landing page but cannot be directly recognized by users, such as audio, video, and image feature representations inserted into the landing page. Relatively mature feature representation learning methods can be used to extract various feature representations from the landing page.

[0047] In one embodiment of the present disclosure, when the landing page is an advertisement landing page, the content information may also include advertisement information and advertiser information. The advertisement information may include the industry, release date, number of views, number of forwards, etc. of the advertisement, and the advertiser information may include the advertiser's name, the industry to which the advertiser belongs (e.g., primary industry, secondary industry, etc.), the advertiser's identifier, and the advertiser's historical placement information.

[0048] In one embodiment of the present disclosure, when a landing page itself carries a conversion component, the extracted content information includes information about the current conversion component, so that a new conversion component can be determined for the landing page based on the information about the historical conversion component. The information about the historical conversion component may include the name and identifier of the historical conversion component, as well as the conversion rate corresponding to the historical conversion component.

[0049] S103: Input the content information into the classification model to obtain the conversion component output by the classification model.

[0050] After obtaining the content information corresponding to the landing page, this content information is input into a classification model, which then determines, based on the content information, the conversion component that matches the landing page. The classification model is a pre-trained model, such as one trained through supervised learning, that determines the conversion component based on the input content information. The conversion component output by the classification model can facilitate interaction between the user and the landing page and help improve the conversion rate of the landing page.

[0051] Among them, the training process of the classification model may include: obtaining training samples, that is, landing page samples carrying labels. Among them, the labels carried by the landing page samples are the conversion components that match the landing page samples. Extract content information from the landing page samples, input the content information into the initial network model, and obtain the predicted conversion component output by the initial network model. Update the parameters of the initial network model according to the loss function between the predicted conversion component and the real conversion component (that is, the conversion component that matches the landing page sample) until the loss function value is less than the preset loss value, and the initial network model training becomes a classification model.

[0052] In one embodiment of the present disclosure, the specific implementation of the classification model may include: determining the classification result corresponding to the landing page based on the content information; and determining the conversion component that matches the classification result and the style of the conversion component based on the classification result. That is, not only the conversion component that matches the landing page can be determined, but also the style that matches the landing page can be determined. Generally, when the same conversion component is applied to different landing pages, its corresponding style can be different, so that it can adapt to different landing pages, increase diversity, and attract viewers to use the conversion component.

[0053] Conversion components can include various components, such as form components, consultation components, phone components, SMS components, and instant messaging components. When a landing page itself carries a conversion component of a certain type, the conversion component determined by the classification model is another type of conversion component. For example, if the landing page itself carries a form component, the conversion component determined by the classification model is a consultation component.

[0054] In one embodiment of the present disclosure, since the consulting component requires a lot of configuration, such as the style of the consulting component, the title of the consulting page, the display style of the consulting page, etc., and the configuration process is relatively complicated, in order to reduce the creator's investment cost, when the determined conversion component is a consulting component, the information component will be automatically configured with consulting information, which includes the text of the question-and-answer library, the component style, the consulting page style, etc. For example, if the determined consulting component is an intelligent consulting robot, the automatic configuration of the intelligent consulting robot is completed: the intelligent consulting robot is preset with better and more common words, and the robot's name, consulting page title, consulting page name and other field specifications are configured, so that the creator of the landing page does not need to manually configure, thereby improving configuration efficiency. For example Figure 3a The display style of the consulting component on the landing page, and Figure 3b The consultation page style shown.

[0055] S104: Add the conversion component to the landing page to obtain a derived landing page.

[0056] After determining the conversion component that matches the landing page, add the conversion component to the landing page to obtain a derived landing page, thereby achieving automatic optimization of the landing page without manual addition.

[0057] In one embodiment of the present disclosure, after a derived landing page is obtained and the creator publishes the derived landing page, in response to a user browsing the derived landing page, the derived landing page and the conversion component included in the derived landing page are displayed on the user's corresponding electronic device, so that the user can obtain more information through the conversion component and improve the conversion rate of the derived landing page.

[0058] It can be seen that when a landing page needs to be optimized, the landing page to be optimized is obtained, and content information that can reflect the characteristics of the landing page is extracted from the landing page. The extracted content information is input into the classification model to obtain a conversion component that matches the landing page through the classification model, and the conversion component can provide the conversion rate of the landing page. The matching conversion component is added to the landing page to generate a derived landing page to achieve the optimization of the landing page. That is, the technical solution provided by this application can automatically match the conversion component for the landing page without manual optimization, thereby improving the optimization efficiency. At the same time, users who browse the landing page interact with the landing page through the conversion component, thereby improving the user experience.

[0059] Based on the above method embodiment, the embodiment of the present application provides a landing page optimization device, which will be described below with reference to the accompanying drawings.

[0060] See also Figure 4 , which is a structural diagram of a landing page optimization device provided in an embodiment of the present application, such as Figure 4As shown, the device includes: a first acquiring unit 401, an extracting unit 402, a second acquiring unit 403 and a generating unit 404.

[0061] The first acquisition unit 401 is used to acquire the landing page to be optimized;

[0062] An extraction unit 402 is configured to extract content information from the landing page, where the content information reflects characteristics of the landing page;

[0063] A second acquisition unit 403 is configured to input the content information into a classification model to obtain a conversion component output by the classification model. The classification model is a pre-trained model configured to determine a conversion component that matches the landing page based on the content information. The conversion component is configured to enable interaction between the user and the landing page.

[0064] The generation unit 404 is configured to add the conversion component to the landing page to generate a derived landing page, wherein the derived landing page includes the conversion component.

[0065] In one embodiment of the present disclosure, the second acquisition unit 403 is specifically configured to determine a classification result corresponding to the landing page according to the content information; and determine a conversion component matching the classification result and a style of the conversion component based on the classification result.

[0066] In one embodiment of the present disclosure, the first acquisition unit 401 is specifically configured to acquire the landing page in response to receiving a trigger operation for enabling a landing page component optimization function.

[0067] In one embodiment of the present disclosure, the apparatus further comprises: a display unit;

[0068] The display unit is used to display the derived landing page and the conversion component included in the derived landing page in response to a user browsing the derived landing page after the derived landing page is published.

[0069] In one embodiment of the present disclosure, the content information includes plain text information in the landing page and abstract information in the landing page, the plain text information includes identifiable text information in the landing page, and the abstract information includes one or more of audio feature representation, video feature representation, and image feature representation inserted in the landing page.

[0070] In one embodiment of the present disclosure, when the landing page is an advertisement landing page, the content information further includes advertisement information and advertiser information.

[0071] In one embodiment of the present disclosure, the conversion component includes one or more of the following: a form component, a consultation component, a telephone component, a text message component, and an instant messaging component.

[0072] In one embodiment of the present disclosure, when the conversion component is a consulting component, the apparatus further comprises: a configuration unit;

[0073] The configuration unit is used to configure consulting information for the consulting component before adding the conversion component to the landing page, and the consulting information includes question and answer library text, component style and consulting page style.

[0074] In one embodiment of the present disclosure, when the landing page to be optimized includes a historical conversion component, the content information also includes information of the historical conversion component.

[0075] It should be noted that the specific implementation of each unit in this embodiment can refer to the relevant description in the above method embodiment.

[0076] In addition, the division of units in the embodiments of the present application is schematic and is only a logical functional division. In actual implementation, there may be other division methods. The functional units in the embodiments of the present application can be integrated into a processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. For example, in the above embodiment, the processing unit and the sending unit can be the same unit or different units. The above integrated units can be implemented in the form of hardware or in the form of software functional units.

[0077] See also Figure 5 , which shows a schematic structural diagram of an electronic device 500 suitable for implementing the embodiments of the present disclosure. The terminal devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and fixed terminals such as digital TVs and desktop computers. Figure 5 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.

[0078] like Figure 5As shown, the electronic device 500 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 501, which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 502 or a program loaded from a storage device 508 into a random access memory (RAM) 503. Various programs and data required for the operation of the electronic device 500 are also stored in the RAM 503. The processing device 501, the ROM 502, and the RAM 503 are connected to each other via a bus 504. An input / output (I / O) interface 505 is also connected to the bus 504.

[0079] Typically, the following devices may be connected to the I / O interface 505: an input device 506 including, for example, a touch screen, a touchpad, a keyboard, a mouse, a camera, a microphone, an accelerometer, a gyroscope, etc.; an output device 507 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; a storage device 508 including, for example, a magnetic tape, a hard disk, etc.; and a communication device 509. The communication device 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 5 The electronic device 500 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.

[0080] 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 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 the network through the communication device 509, or installed from the storage device 508, or installed from the ROM 502. When the computer program is executed by the processing device 501, the above-mentioned functions defined in the method of the embodiment of the present disclosure are performed.

[0081] The electronic device provided by the embodiment of the present disclosure and the method provided by the above embodiment belong to the same inventive concept. For technical details not fully described in this embodiment, please refer to the above embodiment, and this embodiment has the same beneficial effects as the above embodiment.

[0082] An embodiment of the present disclosure provides a computer storage medium having a computer program stored thereon. When the program is executed by a processor, the method provided in the above embodiment is implemented.

[0083] 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.

[0084] 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.

[0085] The computer-readable medium may be included in the electronic device, or may exist independently without being incorporated into the electronic device.

[0086] The computer-readable medium carries one or more programs. When the one or more programs are executed by the electronic device, the electronic device can perform the method.

[0087] 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).

[0088] 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.

[0089] The units involved in the embodiments described in this disclosure may be implemented in software or hardware, wherein the name of a unit / module does not, in some cases, limit the unit itself.

[0090] 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.

[0091] 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.

[0092] It should be noted that the various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. Reference can be made to the common and similar parts between the various embodiments. For the systems or devices disclosed in the embodiments, since they correspond to the methods disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the method description.

[0093] It should be understood that in this application, "at least one (item)" means one or more, and "plurality" means two or more. "And / or" is used to describe the association relationship of associated objects, indicating that three relationships may exist. For example, "A and / or B" can mean: only A exists, only B exists, and A and B exist at the same time, where A and B can be singular or plural. The character " / " generally indicates that the previous and next associated objects are in an "or" relationship. "At least one of the following items" or similar expressions refers to any combination of these items, including any combination of single items or plural items. For example, at least one of a, b or c can mean: a, b, c, "a and b", "a and c", "b and c", or "a and b and c", where a, b, c can be single or multiple.

[0094] It should also be noted that, in this document, relational terms such as first and second, etc., are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "comprises," "comprising," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or device comprising a series of elements includes not only those elements, but also other elements not explicitly listed, or elements inherent to such process, method, article, or device. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of additional identical elements in the process, method, article, or device comprising the element.

[0095] The steps of the methods or algorithms described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), internal memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0096] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A landing page optimization method, characterized in that: The method comprises: Obtaining a landing page to be optimized, wherein the landing page includes a historical conversion component; Extracting content information from the landing page, the content information reflecting characteristics of the landing page, the content information including plain text information and abstract information in the landing page, the plain text information including identifiable text information in the landing page, the abstract information including one or more of audio feature representations, video feature representations, and image feature representations inserted in the landing page, and the content information also including information of the historical conversion component; Inputting the content information into a classification model to obtain a conversion component output by the classification model and a style of the conversion component. The classification model is a pre-trained model used to determine a conversion component that matches the landing page based on the content information. The conversion component is used to enable interaction between the user and the landing page, and the style of the conversion component matches the landing page. The conversion component is added to the landing page to generate a derived landing page, where the derived landing page includes the conversion component.

2. The method according to claim 1, characterized in that Inputting the content information into a classification model to obtain a conversion component output by the classification model and a style of the conversion component includes: Determine the classification result corresponding to the landing page according to the content information; A conversion component matching the classification result and a style of the conversion component are determined based on the classification result.

3. The method according to claim 1 or 2, characterized in that The obtaining of the landing page to be optimized includes: In response to receiving a trigger operation to enable a landing page component optimization function, a landing page to be optimized is obtained.

4. The method according to claim 1, wherein The method further comprises: In response to a user browsing the derived landing page after the derived landing page is published, the derived landing page and the conversion component included in the derived landing page are displayed.

5. The method according to claim 1, wherein When the landing page is an advertisement landing page, the content information also includes advertisement information and advertiser information.

6. The method according to claim 1, characterized in that The conversion component includes one or more of the following: a form component, a consultation component, a telephone component, a text message component, and an instant messaging component.

7. The method according to claim 6, characterized in that When the conversion component is a consulting component, before adding the conversion component to the landing page, the method further includes: Consultation information is configured for the consultation component, where the consultation information includes question and answer library text, component style, and consultation page style.

8. A landing page optimization device, characterized in that: The device comprises: A first acquisition unit is configured to acquire a landing page to be optimized, wherein the landing page includes a historical conversion component; an extraction unit, configured to extract content information from the landing page, the content information reflecting characteristics of the landing page, the content information including plain text information and abstract information in the landing page, the plain text information including identifiable text information in the landing page, the abstract information including one or more of audio feature representations, video feature representations, and image feature representations inserted in the landing page, and the content information also including information of the historical conversion component; a second acquisition unit, configured to input the content information into a classification model to obtain a conversion component output by the classification model and a style of the conversion component. The classification model is a pre-trained model configured to determine a conversion component that matches the landing page based on the content information. The conversion component is configured to enable interaction between a user and the landing page, and the style of the conversion component matches the landing page. A generating unit is used to add the conversion component to the landing page to generate a derived landing page, wherein the derived landing page includes the conversion component.

9. An electronic device, characterized in that: The device includes: a processor and a memory; The memory is used to store instructions or computer programs; The processor is configured to execute the instructions or computer program in the memory, so that the electronic device executes the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that The computer-readable storage medium stores instructions, and when the instructions are executed on a device, the device is caused to execute the method according to any one of claims 1 to 7.

Images