CN117194799A - Method, apparatus and computer program product for generating a set of landing pages - Google Patents

Abstract

The disclosure provides a method, a device, electronic equipment, a storage medium and a program product for generating a landing page group, relates to the technical field of computers, and in particular relates to the technical field of data recommendation and digital marketing, and can be applied to a landing page recommendation scene. The specific implementation scheme is as follows: acquiring a landing page of a user; determining attribute information of a landing page; and classifying the landing pages according to the attribute information to generate a landing page group of the user. According to the method and the device for classifying the landing pages, the landing pages can be classified automatically according to the attribute information of the landing pages of the user, so that the landing page group of the user is generated, the generation efficiency of the landing page group is improved, and the method and the device are beneficial to helping the user to promote the overall conversion rate of visitors of the landing pages.

Description

Method, apparatus and computer program product for generating a set of landing pages

Technical Field

The disclosure relates to the technical field of computers, in particular to the technical field of data recommendation and digital marketing, and particularly relates to a method, a device, electronic equipment, a storage medium and a computer program product for generating a landing page group, which can be applied to a landing page recommendation scene.

Background

In internet marketing, a landing page generally refers to the first page that a visitor clicks on an advertisement or jumps to display to a user after searching using a search engine. Typically, what is hidden behind the various information on the landing page is a form that discovers and gathers potential consumer information in order to convert the visitor to a potential customer, which continues to follow based on the gathered information. In current implementations, the customer is typically provided with the product capability to generate a set of landing pages based on manual manipulation of multiple pages.

Disclosure of Invention

The present disclosure provides a method and apparatus for generating a set of landing pages, a method and apparatus for screening reference frames, an electronic device, a storage medium, and a computer program product.

According to a first aspect, there is provided a method for generating a set of landing pages, comprising: acquiring a landing page of a user; determining attribute information of a landing page; and classifying the landing pages according to the attribute information to generate a landing page group of the user.

According to a second aspect, there is provided an apparatus for generating a set of landing pages, comprising: an acquisition unit configured to acquire a landing page of a user; a determination unit configured to determine attribute information of the landing page; and the generation unit is configured to classify the landing pages according to the attribute information and generate a landing page group of the user.

According to a third aspect, there is provided an electronic device comprising: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform a method as described in any one of the implementations of the first aspect.

According to a fourth aspect, there is provided a non-transitory computer readable storage medium storing computer instructions for causing a computer to perform a method as described in any implementation of the first aspect.

According to a fifth aspect, there is provided a computer program product comprising: a computer program which, when executed by a processor, implements a method as described in any of the implementations of the first aspect.

According to the technology disclosed by the invention, the method for generating the landing page group is provided, the landing pages can be automatically classified according to the attribute information of the landing pages of the user, the landing page group of the user is generated, the generation efficiency of the landing page group is improved, and the method is beneficial to helping the user to promote the overall conversion rate of visitors of the landing pages.

It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.

Drawings

The drawings are for a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:

FIG. 1 is an exemplary system architecture diagram to which an embodiment according to the present disclosure may be applied;

FIG. 2 is a flow chart of one embodiment of a method for generating a set of landing pages according to the present disclosure;

fig. 3 is a schematic diagram of an application scenario of a method for generating a landing page group according to the present embodiment;

FIG. 4 is a flow chart of yet another embodiment of a method for generating a set of landing pages according to the present disclosure;

FIG. 5 is a block diagram of one embodiment of an apparatus for generating a landing page set according to the present disclosure;

FIG. 6 is a schematic diagram of a computer system suitable for use in implementing embodiments of the present disclosure.

Detailed Description

Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

In the technical scheme of the disclosure, the related processes of collecting, storing, using, processing, transmitting, providing, disclosing and the like of the personal information of the user accord with the regulations of related laws and regulations, and the public order colloquial is not violated.

FIG. 1 illustrates an exemplary architecture 100 to which the methods and apparatus of the present disclosure for generating a set of landing pages may be applied.

As shown in fig. 1, a system architecture 100 may include terminal devices 101, 102, 103, a network 104, and a server 105. The communication connection between the terminal devices 101, 102, 103 constitutes a topology network, the network 104 being the medium for providing the communication link between the terminal devices 101, 102, 103 and the server 0105. The network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, among others.

The terminal devices 101, 102, 103 may be hardware devices or software supporting network connections for data interaction and data processing. When the terminal device 101, 102, 103 is hardware, it may be various electronic devices supporting network connection, information acquisition, interaction, display, processing, etc., including but not limited to smartphones, tablet computers, electronic book readers, laptop and desktop computers, etc. When the terminal devices 101, 102, 103 are software, they can be installed in the above-listed electronic devices. It may be implemented as a plurality of software or software modules, for example, for providing distributed services, or as a single software or software module. The present invention is not particularly limited herein.

The server 105 may be a server that provides various services, for example, a background processing server that acquires the landing pages generated by the terminal apparatuses 101, 102, 103, classifies the landing pages according to attribute information of the landing pages, and generates a user's landing page group. As an example, the server 105 may be a cloud server.

The server may be hardware or software. When the server is hardware, the server may be implemented as a distributed server cluster formed by a plurality of servers, or may be implemented as a single server. When the server is software, it may be implemented as a plurality of software or software modules (e.g., software or software modules for providing distributed services), or as a single software or software module. The present invention is not particularly limited herein.

It should also be noted that, the method for generating the landing page group provided by the embodiment of the present disclosure may be executed by a server, may be executed by a terminal device, or may be executed by the server and the terminal device in cooperation with each other. Accordingly, each part (for example, each unit) included in the means for generating the landing page group may be provided in the server, may be provided in the terminal device, or may be provided in the server and the terminal device, respectively.

It should be understood that the number of terminal devices, networks and servers in fig. 1 is merely illustrative. There may be any number of terminal devices, networks, and servers, as desired for implementation. When the electronic device on which the method for generating a set of landing pages is running does not need to perform data transmission with other electronic devices, the system architecture may include only the electronic device (e.g., server or terminal device) on which the method for generating a set of landing pages is running.

Referring to fig. 2, fig. 2 is a flowchart of a method for generating a landing page set according to an embodiment of the present disclosure. Wherein, in the process 200, the following steps are included:

step 201, a landing page of a user is acquired.

In this embodiment, the execution subject (e.g., the server or the terminal device in fig. 1) of the method for generating the landing page group may acquire the landing page of the user from a remote place, or from a local place, in a wired network connection manner or a wireless network connection manner.

The user is a B-end (merchant or enterprise) user generally, provides specific service for a C-end (individual or consumer) user, converts the C-end user into a potential user of the service provided by the C-end user through the generated landing page, and improves the user conversion rate.

The landing page of the user may be a landing page manually generated by the user or may be a landing page generated based on an application program having an automatic landing page generation function. For each user, all landing pages under the user can be acquired, and a landing page set corresponding to the user is generated.

Step 202, determining attribute information of the landing page.

In this embodiment, the execution body may determine attribute information of the landing page.

The attribute information of the landing page includes, but is not limited to, the following attribute information:

target audience: landing pages should be specific to their target audience, as well as the needs and interests of the target audience, which helps ensure that the content and design of the landing pages are attractive and transformable to the target audience.

Marketing target: landing pages should have explicit marketing goals, such as selling products, capturing cues, improving brand awareness, etc., which help ensure that the content and design of the landing page is consistent with the marketing goals.

Page design style: different landing pages have different page design styles. For example, the design style of landing pages may be compact, clear, easy to understand and operate. The page layout, color, font, picture, etc. elements should conform to the preferences and habits of the target audience.

Content quality: the content of the landing page should be of high quality and relevance, capable of attracting and retaining the attention of the visitor. The content should include attractive titles, clear subtitles, interesting pictures and videos, detailed product descriptions, and the like.

Call for action: the landing page should have explicit CTAs (call to action) such as "buy immediately", "try free", "get more information" etc., which help guide the visitor through the actions needed for marketing goals.

Data analysis: the landing page should be equipped with data analysis tools, such as Google analysis, etc., to monitor and analyze the data of access volume, conversion rate, jump rate, etc. of the page, which helps to optimize page design and content, and improve conversion rate and marketing effect.

As an example, the execution body may identify the bearing data such as an image, a text, a video, a voice, and the like in the landing page, parse and understand the bearing data, and determine the attribute information of the landing page.

As yet another example, the above-described execution subject may input encoded data of the bearing data of images, text, video, voice, etc. in the landing page into a pre-trained neural network model to determine attribute information of the landing page through the neural network model. The neural network model may be a neural network model with a classification function, and is used for representing a correspondence between the landing page and attribute information of the landing page.

In some optional implementations of this embodiment, the attribute information of the landing page includes a service type and a conversion type. The business type is a business type characterized by data carried by the landing page, such as an e-commerce business type, a financial business type, a game business type, an educational business type, and a medical business type.

The conversion types of landing pages include, but are not limited to, the following:

click jump type: this type of landing page typically has a button or link that directs the user to jump to other pages, such as an e-commerce page or an application download page, after clicking. The main aim of clicking the jump landing page is to realize the receiving and conversion of the traffic, guide the user to a specific commodity or service page and promote the purchase or downloading behavior of the user.

And (3) thread generation molding: landing pages of this type typically set up forms that require the user to fill in relevant information, such as name, phone, mailbox, etc., for the business to follow up and marketing. The main goal of the cue-generation landing page is to collect basic information of potential users, and to provide support and help for the subsequent sales and marketing efforts of the enterprise.

Consultation type: the landing page of the type is usually arranged on an online customer service or message board, so that a user can conveniently consult and know related products and services. The main goal of the consultation type landing page is to improve the participation degree and the trust degree of the user, and provide more sales opportunities and clues for enterprises.

And (3) downloading: landing pages of this type typically have a download button or link that directs the user to download the associated software, application, or material. The main aim of downloading the landing page is to improve the enthusiasm of users for downloading and using, and bring more traffic and users to enterprises.

Reservation type: landing pages of this type typically set up a reservation form that requires the user to fill in relevant information for subsequent service and marketing by the enterprise. The main goal of the reserved landing page is to improve the reservation rate and participation of users, and bring more sales opportunities and clues to enterprises.

It should be noted that, according to the different classification granularity, the service type and the conversion type of the landing page may have different classification standards.

In this implementation manner, the execution body may execute the step 202 as follows: and identifying page content of the landing page through a pre-trained identification model, and determining a service type and a conversion type corresponding to the landing page. The identification model is used for representing the corresponding relation between the service types and conversion types of the landing page and the landing page.

The recognition model can be trained by using a neural network model with a classification function. By way of example, the training process for the recognition model is as follows: first, a training sample set is acquired. The training samples in the training sample set comprise a landing page, a business type label and a conversion type label corresponding to the landing page. Then, a machine learning method is adopted, a floor page is taken as input, a business type label and a conversion type label corresponding to the input floor page are taken as expected output, and an identification model is obtained through training.

In the implementation mode, the service type and the conversion type of the landing page are determined through the identification model, so that the efficiency and the accuracy of the determination process of the service type and the conversion type are improved.

Step 203, classifying the landing pages according to the attribute information, and generating a landing page group of the user.

In this embodiment, the execution body may sort the landing pages according to the attribute information, and generate a landing page group of the user.

In this embodiment, for a plurality of landing pages in the user's landing page set, the execution body may cluster the landing pages according to the attribute information, so as to divide the landing pages with the same or similar attribute information into the same landing page group, thereby generating at least one landing page group of the user.

As an example, for each attribute information corresponding to each landing page in the set of landing pages of the user, the execution subject may calculate a distance between a feature vector of the attribute information and a feature vector of the attribute information of other landing pages; and then, summing or weighting and summing the distances corresponding to each attribute information to obtain a total distance, so as to determine the similarity between the two landing pages according to the total distance, and further dividing the landing pages with the similarity exceeding a preset similarity threshold value into the same landing page group.

In some optional implementations of this embodiment, the executing body may execute the step 203 as follows:

first, in response to determining that the landing page is at least one historical landing page of the user, classifying the at least one historical landing page according to attribute information corresponding to each of the at least one historical landing page to obtain at least one initial landing page group.

The historical landing page table signature is not generated in real-time by the user, but rather landing pages that have already been generated. For each attribute information corresponding to at least one history landing page of the user, the executing body may calculate a distance between a feature vector of the attribute information and feature vectors of the attribute information of other history landing pages; and then, summing or weighting and summing the distances corresponding to each attribute information to obtain a total distance, so as to determine the similarity between the two historical landing pages according to the total distance, and further divide the historical landing pages with the similarity exceeding a preset similarity threshold value into the same initial landing page group.

And secondly, determining a target historical landing page from the historical landing pages in at least one initial landing page group according to consumption data corresponding to the historical landing pages in the initial landing page group to obtain a landing page group.

There is a possibility that the landing page may have been discarded because the user's history may have been generated for a long time. For landing pages that have been discarded by a user, subsequent potential user conversions may be affected if the operation to generate the landing page set is still performed on them.

In this implementation manner, the executing body may count consumption data corresponding to each history landing page in each initial landing page group, and when the history landing page corresponds to recent consumption data, may identify that the history landing page is not discarded, and use the history landing page as the target history landing page. Further, the target history landing page in the initial landing page group is retained, and the landing page group is obtained.

In the implementation mode, the historical landing pages which are possibly abandoned in the historical landing pages are screened based on consumption data corresponding to the historical landing pages, so that the accuracy of the generated landing page group is improved, and the conversion rate of potential users based on the landing page group is ensured.

In some optional implementations of this embodiment, the executing body may execute the step 203 as follows:

first, in response to determining that the landing page is a real-time landing page generated by a user, determining whether a landing page group corresponding to the attribute information exists in the landing page group of the user according to the attribute information corresponding to the real-time landing page.

In this implementation manner, the execution body further provides the user with a real-time generation function of the landing page. For example, the landing page may be generated based on a selection or editing operation by the user, or may be automatically generated based on a demand text described by the user.

For the real-time landing page generated by the user, the execution body may determine whether the landing page group of the user includes a landing page group having the same or similar attribute information as the real-time landing page.

Second, in response to determining that there is a real-time landing page, the real-time landing page is added to the landing page group to which the attribute information corresponds.

In the implementation mode, the method for dividing the landing page group into the real-time landing page group is provided, and the completeness of the generation mode of the landing page group is improved while the accuracy of the landing page group is ensured.

In some optional implementations of this embodiment, when the executing body executes the step 203, the following operations may be further executed:

first, in response to determining that there is no presence, it is determined whether a target landing page having the same attribute information as the real-time landing page is included in landing pages of the user unassigned set of landing pages.

In the implementation manner, when the landing page group corresponding to the attribute information of the real-time landing page does not exist in the landing page group of the user, whether the user comprises the landing page of the unassigned landing page group is determined; when the landing page of the unallocated landing page group is included, it is determined whether the attribute information of the real-time landing page is the same as or similar to the attribute information of the landing page of the unallocated landing page group.

The landing page to which the landing page group is not allocated may be, for example, a history landing page or a real-time landing page having individual attribute information.

Then, a set of landing pages is generated based on the real-time landing pages and the target landing page in response to the determination.

In response to determining that the attribute information of the real-time landing page is the same as or similar to the attribute information of the landing page of the unassigned landing page set, the real-time landing page and the target landing page are combined into a new landing page set.

In the implementation manner, the generation manner of the landing page group is provided under the condition that the attribute information corresponding to the existing landing page group is not similar to the attribute information of the real-time landing page, and the completeness of the generation manner of the landing page group is further improved while the accuracy of the landing page group is ensured.

In some optional implementations of this embodiment, when the executing body executes the step 203, the following operations may be further executed: responsive to determining not to include, aborting the operation of generating the set of landing pages based on the real-time landing page.

In this implementation, when the user's landing page group does not include a landing page group similar to the real-time landing page attribute, and the user does not include a landing page similar to the real-time landing page attribute to which the landing page group is not allocated, the operation of generating the landing page group based on the real-time landing page is temporarily abandoned. At this time, the real-time landing page can be used as a landing page of the unassigned landing page group in the subsequent landing page group generation process.

In the implementation manner, the processing manner of the real-time landing page is provided, and the completeness of the generation manner of the landing page group is further improved under the condition that the landing page group of the user does not comprise the landing page group similar to the real-time landing page attribute and the user does not comprise the landing page of the unassigned landing page group similar to the real-time landing page attribute.

With continued reference to fig. 3, fig. 3 is a schematic diagram 300 of an application scenario of the method for generating a landing page group according to the present embodiment. In the application scenario of fig. 3, a user has generated a plurality of real-time landing pages 303, 304, 305 by the terminal device 301, and the user's history landing pages have been divided into landing page groups 306, 307 based on attribute information. After acquiring the landing pages 303, 304 and 305 of the user, the server 302 determines attribute information of the landing pages 303, 304 and 305 respectively, determines that the attribute information of the real-time landing pages 303 and 304 is similar to the landing page group 306 according to the attribute information, and divides the real-time landing pages 303 and 304 into the landing page group 306; the attribute information of the real-time landing page 305 is determined to be similar to the landing page group 307, and the real-time landing page 305 is divided into the landing page group 307.

In this embodiment, a method for generating a landing page group is provided, where the landing pages can be automatically classified according to attribute information of the landing pages of the user, so as to generate the landing page group of the user, improve the generating efficiency of the landing page group, and help the user to promote the overall conversion rate of visitors of the landing pages.

In some optional implementations of this embodiment, the foregoing execution body may further perform the following operations: and responding to the determination that the landing page group of the user is generated, and displaying first prompt information to the user through the guided missile window at an operation entrance of the landing page.

As an example, in response to determining that the landing page group of the user has been generated, the execution subject adds an obvious style guided missile window at the operation entrance of the landing page, displays the first prompt information as "the target client effect of the industry where xx is located, and automatically generates xx landing pages for you to see.

In this implementation manner, when it is determined that the landing page group of the user has been generated, the execution body displays first prompt information to the user to prompt the user to use in the advertisement delivery system, so that the landing efficiency of the automatic generation method of the landing page group is improved while the user experience is improved.

In some optional implementations of this embodiment, the foregoing execution body may further perform the following operations: and responding to the fact that the landing page group of the user is not generated, and displaying second prompt information to the user through the guided missile window at an operation entrance of the landing page.

As an example, in response to determining that the user landing page group is not generated, the executing body adds an obvious style guided missile window at an operation entrance of the landing page, and displays the second prompt information as a target client effect of the industry where xx is located, please see.

In this implementation manner, when determining to generate the landing page set of the user, the execution body displays the second prompt information to the user so as to prompt the user to try to use the automatic generation scheme of the landing page set, thereby improving the user experience degree and being beneficial to improving the landing efficiency of the automatic generation method of the landing page set.

In some optional implementations of this embodiment, the foregoing execution body may further perform the following operations: in response to receiving a trigger operation of advertisement data associated with the set of landing pages, a target landing page matching the implementer is determined and presented from the set of landing pages according to characteristic data of the implementer of the trigger operation.

As an example, the execution subject may determine a feature vector based on feature data of an implementer; and further determining a distance between the feature vector of the implementer and the feature vector of the landing page in the associated landing page group, and displaying the landing page closest to the distance as the target landing page to the user implementer.

As yet another example, the execution subject described above may determine a target landing page for an implementer via a pre-trained landing page recommendation model and present the target landing page to the user implementer. The landing page recommendation model is used for representing the corresponding relation between the landing page and the implementer.

In the implementation manner, when the practitioner triggers the advertisement data associated with the landing page group, the target landing page matched with the practitioner is determined and displayed from the landing page group according to the characteristic data of the practitioner, so that the matching degree between the target landing page and the practitioner is improved, and the overall conversion rate of the visitor of the landing page is further improved.

With continued reference to fig. 4, there is shown a schematic flow 400 of yet another embodiment of a method for generating a set of landing pages in accordance with the present disclosure. In flow 400, the following steps are included:

step 401, obtaining a landing page of a user.

And step 402, identifying page content of the landing page through a pre-trained identification model, and determining a service type and a conversion type corresponding to the landing page.

The identification model is used for representing the corresponding relation between the service types and conversion types of the landing page and the landing page.

In step 403, in response to determining that the landing page is at least one historical landing page of the user, classifying the at least one historical landing page according to attribute information corresponding to each of the at least one historical landing page, to obtain at least one initial landing page group.

And step 404, for each initial landing page group in at least one initial landing page group, determining a target historical landing page from the historical landing pages in the initial landing page group according to consumption data corresponding to the historical landing pages in the initial landing page group, and obtaining a landing page group.

In step 405, in response to determining that the landing page is a real-time landing page generated by the user, it is determined, according to attribute information corresponding to the real-time landing page, whether a landing page group corresponding to the attribute information exists in the landing page group of the user.

In response to determining that there is no, it is determined whether the target landing page having the same attribute information as the real-time landing page is included in the landing pages of the user unassigned set of landing pages, step 406.

Step 407, responsive to determining to include, generating a set of landing pages based on the real-time landing page and the target landing page.

In step 408, in response to receiving a trigger operation of the advertisement data associated with the landing page group, a target landing page matching the implementer is determined and presented from the landing page group according to the characteristic data of the implementer of the trigger operation.

As can be seen from this embodiment, compared with the embodiment corresponding to fig. 2, the flow 400 of the method for generating the landing page set in this embodiment specifically illustrates the generation manner of the landing page set, and based on the recommended manner of the landing page set, the generation efficiency of the landing page set is improved, which is helpful for helping the user to promote the overall conversion rate of the visitor of the landing page.

With continued reference to fig. 5, as an implementation of the method shown in the foregoing figures, the present disclosure provides an embodiment of an apparatus for generating a landing page set, where the apparatus embodiment corresponds to the method embodiment shown in fig. 2, and the apparatus may be specifically applied in various electronic devices.

As shown in fig. 5, an apparatus 500 for generating a set of landing pages includes: an acquisition unit 501 configured to acquire a landing page of a user; a determination unit 502 configured to determine attribute information of a landing page; the generating unit 503 is configured to sort the landing pages according to the attribute information, and generate a landing page group of the user.

In some optional implementations of the present embodiment, the attribute information includes a service type and a conversion type, and the determining unit 502 is further configured to: and identifying page content of the landing page through a pre-trained identification model, and determining a service type and a conversion type corresponding to the landing page, wherein the identification model is used for representing a corresponding relation between the service types and the conversion types of the landing page and the landing page.

In some optional implementations of the present embodiment, the generating unit 503 is further configured to: responding to the determination that the landing page is at least one historical landing page of a user, and classifying the at least one historical landing page according to the attribute information corresponding to the at least one historical landing page to obtain at least one initial landing page group; and determining a target historical landing page from the historical landing pages in the initial landing page group according to consumption data corresponding to the historical landing pages in the initial landing page group for each initial landing page group in the at least one initial landing page group, so as to obtain the landing page group.

In some optional implementations of the present embodiment, the generating unit 503 is further configured to: responding to the real-time landing page generated by determining the landing page as the user, and determining whether a landing page group corresponding to the attribute information exists in the landing page group of the user according to the attribute information corresponding to the real-time landing page; in response to determining that the real-time landing page exists, adding the real-time landing page to a landing page group corresponding to the attribute information.

In some optional implementations of the present embodiment, the generating unit 503 is further configured to: in response to determining that the target landing page does not exist, determining whether the landing page having the same attribute information as the real-time landing page is included in the landing pages of the user unassigned set of landing pages; a set of landing pages is generated based on the real-time landing page and the target landing page in response to determining to include.

In some optional implementations of the present embodiment, the generating unit 503 is further configured to: responsive to determining not to include, aborting the operation of generating the set of landing pages based on the real-time landing page.

In some optional implementations of this embodiment, the apparatus further includes: a first guiding unit (not shown in the figure) configured to: and responding to the determination that the landing page group of the user is generated, and displaying first prompt information to the user through the guided missile window at an operation entrance of the landing page.

In some optional implementations of this embodiment, the apparatus further includes: a second guiding unit (not shown in the figure) configured to: and responding to the fact that the landing page group of the user is not generated, and displaying second prompt information to the user through the guided missile window at an operation entrance of the landing page.

In some optional implementations of this embodiment, the apparatus further includes: and a presentation unit (not shown in the figure) configured to determine and present a target landing page matching the implementer from the landing page group according to characteristic data of the implementer of the trigger operation in response to receiving the trigger operation of the advertisement data associated with the landing page group.

In this embodiment, a device for generating a landing page group is provided, where the landing pages can be automatically classified according to attribute information of the landing pages of a user, so as to generate the landing page group of the user, thereby improving the generation efficiency of the landing page group and helping the user to promote the overall conversion rate of visitors of the landing pages.

According to an embodiment of the present disclosure, the present disclosure further provides an electronic device including: at least one processor; and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor to enable the at least one processor to implement the method for generating a set of landing pages described in any of the embodiments above.

According to an embodiment of the present disclosure, there is also provided a readable storage medium storing computer instructions for enabling a computer to implement the method for generating a set of landing pages described in any of the above embodiments when executed.

The disclosed embodiments provide a computer program product that, when executed by a processor, enables the method for generating a set of landing pages described in any of the above embodiments.

Fig. 6 illustrates a schematic block diagram of an example electronic device 600 that may be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.

As shown in fig. 6, the apparatus 600 includes a computing unit 601 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 602 or a computer program loaded from a storage unit 608 into a Random Access Memory (RAM) 603. In the RAM 603, various programs and data required for the operation of the device 600 may also be stored. The computing unit 601, ROM 602, and RAM 603 are connected to each other by a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.

Various components in the device 600 are connected to the I/O interface 605, including: an input unit 606 such as a keyboard, mouse, etc.; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the device 600 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.

The computing unit 601 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 601 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 601 performs the respective methods and processes described above, for example, a method for generating a set of landing pages. For example, in some embodiments, the method for generating a set of landing pages may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as storage unit 608. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 600 via the ROM 602 and/or the communication unit 609. When the computer program is loaded into RAM 603 and executed by the computing unit 601, one or more steps of the method for generating a set of landing pages described above may be performed. Alternatively, in other embodiments, the computing unit 601 may be configured to perform the method for generating the set of floor pages in any other suitable manner (e.g., by means of firmware).

Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.

Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.

In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, 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 disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.

The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.

The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called as a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so as to solve the defects of large management difficulty and weak service expansibility in the traditional physical host and virtual special server (VPS, virtual Private Server) service; or may be a server of a distributed system or a server incorporating a blockchain.

According to the technical scheme of the embodiment of the disclosure, the method for generating the landing page group is provided, the landing pages can be automatically classified according to the attribute information of the landing pages of the user, the landing page group of the user is generated, the generation efficiency of the landing page group is improved, and the method is beneficial to helping the user to promote the overall conversion rate of visitors of the landing pages.

It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel, sequentially, or in a different order, provided that the desired results of the technical solutions provided by the present disclosure are achieved, and are not limited herein.

The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.

Claims (21)

1. A method for generating a set of landing pages, comprising:

Acquiring a landing page of a user;

determining attribute information of the landing page;

and classifying the landing pages according to the attribute information to generate a landing page group of the user.

2. The method of claim 1, wherein the attribute information includes a service type and a conversion type, and

the determining the attribute information of the landing page includes:

and identifying page content of the landing page through a pre-trained identification model, and determining a service type and a conversion type corresponding to the landing page, wherein the identification model is used for representing a corresponding relation between the service types and the conversion types of the landing page and the landing page.

3. The method according to claim 1 or 2, wherein the classifying the landing pages according to the attribute information, generating the user's landing page group, includes:

responding to the fact that the landing page is at least one historical landing page of the user, classifying the at least one historical landing page according to attribute information corresponding to the at least one historical landing page, and obtaining at least one initial landing page group;

and determining a target historical landing page from the historical landing pages in the initial landing page group according to consumption data corresponding to the historical landing pages in the initial landing page group for each initial landing page group in the at least one initial landing page group, so as to obtain the landing page group.

4. The method of claim 1, wherein the classifying the landing pages according to the attribute information to generate the user's landing page group includes:

responding to the real-time landing page generated by the user by determining the landing page, and determining whether a landing page group corresponding to the attribute information exists in the landing page group of the user according to the attribute information corresponding to the real-time landing page;

and in response to determining that the real-time landing page exists, adding the real-time landing page to a landing page group corresponding to the attribute information.

5. The method of claim 4, wherein the classifying the landing pages according to the attribute information to generate the user's landing page group further comprises:

in response to determining that there is no presence, determining whether a target landing page having the same attribute information as the real-time landing page is included in landing pages of the user unassigned set of landing pages;

the set of landing pages is generated based on the real-time landing page and the target landing page in response to determining to include.

6. The method of claim 5, wherein the classifying the landing pages according to the attribute information to generate the user's landing page group further comprises:

Responsive to determining not to include, relinquishing the operation of generating the set of landing pages based on the real-time landing page.

7. The method of claim 1, further comprising:

and responding to the determination that the landing page group of the user is generated, and displaying first prompt information to the user through a guided missile window at an operation entrance of the landing page.

8. The method of claim 1, further comprising:

and responding to the fact that the landing page group of the user is not generated, and displaying second prompt information to the user through a guided missile window at an operation entrance of the landing page.

9. The method of any of claims 1-8, further comprising:

in response to receiving a trigger operation of advertisement data associated with the landing page group, determining and displaying a target landing page matched with an implementer from the landing page group according to characteristic data of the implementer of the trigger operation.

10. An apparatus for generating a set of landing pages, comprising:

an acquisition unit configured to acquire a landing page of a user;

a determination unit configured to determine attribute information of the landing page;

and the generation unit is configured to classify the landing pages according to the attribute information and generate a landing page group of the user.

11. The apparatus of claim 10, wherein the attribute information comprises a traffic type and a conversion type, and

the determining unit is further configured to:

and identifying page content of the landing page through a pre-trained identification model, and determining a service type and a conversion type corresponding to the landing page, wherein the identification model is used for representing a corresponding relation between the service types and the conversion types of the landing page and the landing page.

12. The apparatus according to claim 10 or 11, wherein the generating unit is further configured to:

responding to the fact that the landing page is at least one historical landing page of the user, classifying the at least one historical landing page according to attribute information corresponding to the at least one historical landing page, and obtaining at least one initial landing page group; and determining a target historical landing page from the historical landing pages in the initial landing page group according to consumption data corresponding to the historical landing pages in the initial landing page group for each initial landing page group in the at least one initial landing page group, so as to obtain the landing page group.

13. The apparatus of claim 10, wherein the generating unit is further configured to:

Responding to the real-time landing page generated by the user by determining the landing page, and determining whether a landing page group corresponding to the attribute information exists in the landing page group of the user according to the attribute information corresponding to the real-time landing page; and in response to determining that the real-time landing page exists, adding the real-time landing page to a landing page group corresponding to the attribute information.

14. The apparatus of claim 13, wherein the generating unit is further configured to:

in response to determining that there is no presence, determining whether a target landing page having the same attribute information as the real-time landing page is included in landing pages of the user unassigned set of landing pages; the set of landing pages is generated based on the real-time landing page and the target landing page in response to determining to include.

15. The apparatus of claim 14, wherein the generating unit is further configured to:

responsive to determining not to include, relinquishing the operation of generating the set of landing pages based on the real-time landing page.

16. The apparatus of claim 10, further comprising:

a first guiding unit configured to: and responding to the determination that the landing page group of the user is generated, and displaying first prompt information to the user through a guided missile window at an operation entrance of the landing page.

17. The apparatus of claim 10, further comprising:

a second guiding unit configured to: and responding to the fact that the landing page group of the user is not generated, and displaying second prompt information to the user through a guided missile window at an operation entrance of the landing page.

18. The apparatus of any of claims 10-17, further comprising:

and the display unit is configured to respond to the trigger operation of receiving the advertisement data associated with the landing page group, and determine and display the target landing page matched with the implementer from the landing page group according to the characteristic data of the implementer of the trigger operation.

19. An electronic device, comprising:

at least one processor; and

a memory communicatively coupled to the at least one processor; wherein,

the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-9.

20. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-9.

21. A computer program product comprising: computer program which, when executed by a processor, implements the method according to any of claims 1-9.