CN113656733B - Floor page generation method and device, electronic equipment and storage medium - Google Patents
Floor page generation method and device, electronic equipment and storage medium Download PDFInfo
- Publication number
- CN113656733B CN113656733B CN202110944002.6A CN202110944002A CN113656733B CN 113656733 B CN113656733 B CN 113656733B CN 202110944002 A CN202110944002 A CN 202110944002A CN 113656733 B CN113656733 B CN 113656733B
- Authority
- CN
- China
- Prior art keywords
- interaction
- landing page
- area
- page
- historical
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000000034 method Methods 0.000 title claims abstract description 50
- 238000003860 storage Methods 0.000 title claims abstract description 18
- 230000003993 interaction Effects 0.000 claims abstract description 181
- 230000004044 response Effects 0.000 claims abstract description 7
- 230000006399 behavior Effects 0.000 claims description 52
- 230000002452 interceptive effect Effects 0.000 claims description 19
- 238000005516 engineering process Methods 0.000 claims description 8
- 238000001514 detection method Methods 0.000 claims description 6
- 238000006243 chemical reaction Methods 0.000 abstract description 16
- 230000003068 static effect Effects 0.000 abstract description 5
- 238000004590 computer program Methods 0.000 description 15
- 238000010586 diagram Methods 0.000 description 9
- 238000004891 communication Methods 0.000 description 8
- 238000012545 processing Methods 0.000 description 8
- 230000004048 modification Effects 0.000 description 6
- 238000012986 modification Methods 0.000 description 6
- 238000004519 manufacturing process Methods 0.000 description 4
- 210000000746 body region Anatomy 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 230000002829 reductive effect Effects 0.000 description 3
- 230000009466 transformation Effects 0.000 description 3
- 238000009826 distribution Methods 0.000 description 2
- 230000000670 limiting effect Effects 0.000 description 2
- 230000000007 visual effect Effects 0.000 description 2
- 230000003213 activating effect Effects 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000036961 partial effect Effects 0.000 description 1
- 238000009877 rendering Methods 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000013519 translation Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/958—Organisation or management of web site content, e.g. publishing, maintaining pages or automatic linking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/957—Browsing optimisation, e.g. caching or content distillation
- G06F16/9577—Optimising the visualization of content, e.g. distillation of HTML documents
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0241—Advertisements
- G06Q30/0277—Online advertisement
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Physics & Mathematics (AREA)
- Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Accounting & Taxation (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Development Economics (AREA)
- Finance (AREA)
- Strategic Management (AREA)
- Entrepreneurship & Innovation (AREA)
- Game Theory and Decision Science (AREA)
- Economics (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- User Interface Of Digital Computer (AREA)
- Information Transfer Between Computers (AREA)
Abstract
The disclosure provides a floor page generation method, a floor page generation device, electronic equipment and a storage medium, relates to the technical field of computers, and particularly relates to the technical field of big data. The specific implementation scheme is as follows: generating an initial landing page in response to a landing page generation instruction; and adding an interaction component to the interaction hot area of the initial landing page, wherein the interaction hot area is determined based on the pre-collected historical interaction behavior data for the initial landing page. The method solves the problem of interaction missing in the landing page formed by the static pictures, ensures that the interaction intention of the user can be satisfied, and improves the browsing experience of the user. And the conversion way of the landing page is enriched, the conversion rate of the landing page is improved, and the flow value is exerted to the maximum.
Description
Technical Field
The present disclosure relates to the field of computer technology, and in particular, to the field of big data technology.
Background
Currently, advertisement landing pages are receiving more and more attention. The advertisement landing page is usually embedded in a video or a webpage, and an interface of the advertisement landing page is displayed to a user after the user clicks a related link.
Because of the high manufacturing cost of the hosted pages, when a large number of advertisers manufacture landing pages, a plurality of pictures are often spliced to directly form the landing pages.
Disclosure of Invention
The disclosure provides a landing page generation method, a landing page generation device, electronic equipment and a storage medium.
According to an aspect of the present disclosure, there is provided a landing page generation method, including:
generating an initial landing page in response to a landing page generation instruction;
and adding an interaction component to the interaction hot area of the initial landing page, wherein the interaction hot area is determined based on the pre-collected historical interaction behavior data for the initial landing page.
According to another aspect of the present disclosure, there is provided a landing page generation apparatus including:
the generation module is used for responding to the landing page generation instruction and generating an initial landing page;
and the additional module is used for adding the interaction components in the interaction hot area of the initial landing page, wherein the interaction hot area is determined based on the pre-collected historical interaction behavior data aiming at the initial landing page.
According to still another aspect of the present disclosure, there is provided an electronic apparatus including:
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 floor page generation method.
According to yet another aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform a landing page generation method.
According to yet another aspect of the present disclosure, there is provided a computer program product comprising a computer program which, when executed by a processor, implements a landing page generation method.
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 a schematic flow chart of a landing page generation method according to an embodiment of the present disclosure;
FIG. 2 is a schematic flow chart of determining an initial landing page interaction hot zone according to an embodiment of the present disclosure;
FIG. 3 is a schematic flow chart of determining component types of an interactive component according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a method for generating landing pages according to an embodiment of the present disclosure;
FIG. 5 is a schematic diagram of landing page generation provided by embodiments of the present disclosure;
FIG. 6 is a block diagram of an apparatus for implementing a landing page generation method of an embodiment of the present disclosure;
fig. 7 is a block diagram of an electronic device for implementing a landing page generation method of an embodiment 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.
Currently, advertisement landing pages are receiving more and more attention. The advertisement landing page is usually embedded in a video or a webpage, and an interface of the advertisement landing page is displayed to a user after the user clicks a related link.
Because of the high manufacturing cost of the hosted pages, when a large number of advertisers manufacture landing pages, a plurality of pictures are often spliced to directly form the landing pages.
The user may generate a click intention on a partial area while browsing the landing page, and attempt to trigger an operation by clicking. However, the landing page formed by splicing the pictures cannot respond to the clicking operation of the user, so that the interaction intention of the user cannot be satisfied, and a great amount of interaction behaviors and conversion possibilities are wasted intangibly.
In the field of advertisement landing pages, conversion refers to: after clicking the advertisement landing page and browsing the content, the user becomes an effective activating or registering or even paying user.
In addition, the advertiser can add the page component by himself according to experience to optimize the landing page, but experience and data are required to be accumulated for a long time, the labor cost is high, and good optimization cannot be achieved generally.
In order to solve the technical problems, the present disclosure provides a landing page generation method, a landing page generation device, an electronic device and a storage medium.
In one embodiment of the present disclosure, there is provided a landing page generation method, including:
generating an initial landing page in response to a landing page generation instruction;
and adding an interaction component to the interaction hot area of the initial landing page, wherein the interaction hot area is determined based on the pre-collected historical interaction behavior data for the initial landing page.
It can be seen that historical interaction behavior data for the initial landing page is collected in advance, and an interaction hot zone is determined based on the historical interaction behavior data. After receiving the landing page generation instruction, generating an initial landing page, and attaching an interaction component to the interaction hot area of the initial landing page, so that the interaction component can respond to interaction behaviors of a user.
The method solves the problem of interaction missing in the landing page formed by the static pictures, ensures that the interaction intention of the user can be satisfied, and improves the browsing experience of the user. And the conversion way of the landing page is enriched, the conversion rate of the landing page is improved, and the flow value is exerted to the maximum.
In addition, compared with the mode that the advertiser adds the page component according to experience by oneself, in the method, historical interaction behavior data of a large number of users are collected, data basis can be provided for optimizing the landing page, further, the interaction component is automatically added in the interaction hot area of the initial landing page through a computer program, interaction experience of the landing page is optimized, no modification is needed for the initial landing page by the advertiser, and a large number of experience cost and labor operation cost are reduced.
The following describes in detail a method, an apparatus, an electronic device, and a storage medium for generating a landing page provided by an embodiment of the present disclosure.
Referring to fig. 1, fig. 1 is a schematic flow chart of a landing page generating method according to an embodiment of the present disclosure, as shown in fig. 1, the method may include the following steps:
s101: and generating an initial landing page in response to the landing page generation instruction.
The landing page generation method provided by the disclosure can be applied to a PC (personal computer) end or a mobile end installed with a page browsing APP (Application), and can be also understood as a page client end or a page front end.
After the page front end receives the landing page generation instruction, an initial landing page is obtained from the server end, and the initial landing page is displayed to a user.
The page-to-ground generation instruction may be an instruction generated by clicking the page-to-ground link by a user, for example, the user is attracted by the title of the page-to-ground, clicking the page-to-ground link, generating a page-to-ground generation instruction, and generating an initial page-to-ground at the front end of the page in response to the instruction.
The initial landing page is prefabricated and can be formed by splicing a plurality of pictures.
S102: and adding an interaction component in the interaction hot area of the initial landing page, wherein the interaction hot area is determined based on the pre-collected historical interaction behavior data for the initial landing page.
In the embodiment of the disclosure, the server can put the initial landing page into the user within a certain period of time, so that historical interaction behavior data of the user aiming at the initial landing page is collected.
According to the historical interaction behavior data, an interaction hot area, namely an area with more frequent user interaction behavior in the initial landing page, can be determined.
As one example, within a week after the initial landing page is manufactured, the user clicks on a link to the initial landing page, the web page front end drops the initial landing page to the user, and interaction behavior data of the user for the initial landing page within the week is collected. The interaction hotspots are then determined based on interaction behavior data collected during a week.
As another example, after the initial landing page is manufactured, the user clicks a link of the initial landing page, the front end of the web page puts the initial landing page into the user, and collects interaction behavior data of the user for the initial landing page, and after the data amount of the collected interaction behavior data reaches a preset threshold, an interaction hot zone is determined based on the collected interaction behavior data.
After the interactive hotspots are determined, the interactive components corresponding to each interactive hotspot may be determined, and then the initial landing page, the location of the interactive hotspots, and the interactive components are pre-stored in a database at the server side.
After the interaction hot area and the interaction components are determined, the front end of the webpage responds to a landing page generation instruction, an initial landing page is generated, the interaction components are applied to a server, the server returns the positions of the interaction components and the interaction hot area to the client, and the front end of the webpage is added with the corresponding interaction components on the interaction hot area based on the positions of the interaction hot area.
It can be seen that historical interaction behavior data for the initial landing page is collected in advance, and an interaction hot zone is determined based on the historical interaction behavior data. After receiving the landing page generation instruction, generating an initial landing page, and attaching an interaction component to the interaction hot area of the initial landing page, so that the interaction component can respond to interaction behaviors of a user.
The method solves the problem of interaction missing in the landing page formed by the static pictures, ensures that the interaction intention of the user can be satisfied, and improves the browsing experience of the user. And the conversion way of the landing page is enriched, the conversion rate of the landing page is improved, and the flow value is exerted to the maximum.
In addition, compared with the mode that the advertiser adds the page component according to experience by oneself, in the method, historical interaction behavior data of a large number of users are collected, data basis can be provided for optimizing the landing page, further, the interaction component is automatically added in the interaction hot area of the initial landing page through a computer program, interaction experience of the landing page is optimized, no modification is needed for the initial landing page by the advertiser, and a large number of experience cost and labor operation cost are reduced.
In one embodiment of the present disclosure, the historical interaction behavior may include a click behavior of the user on the initial landing page within the historical period, and the corresponding historical interaction behavior data may include a page click position corresponding to each click behavior of the initial landing page.
Referring to FIG. 2, in one embodiment of the present disclosure, the interaction hot-zone of the initial landing page may be determined as follows:
s201: and acquiring historical interaction behavior data of the user aiming at the initial landing page in the historical period.
S202: a critical interaction area is determined based on the historical interaction behavior data.
As an example, click behavior data of a user for an initial landing page in a history period may be collected, and page click positions of the respective click behaviors may be clustered according to distribution of the page click positions, to obtain one or more key interaction areas.
S203: judging whether the key interaction area is a picture area which cannot be interacted, if so, identifying a main body area of the key interaction area based on an image detection technology, and determining the main body area as an interaction hot area.
Specifically, the key interaction region is obtained by clustering, and may not be a regular region, so that a main body region of the key interaction region can be identified based on an image detection technology, the identified main body region is usually a regular region, and the main body region is determined as an interaction hot region of the initial landing page.
If the key interaction region is not a non-interactable picture region, it is stated that interactable components are already present at the key interaction region, in which case no interaction components have to be added, i.e. no interaction hotspots have to be determined.
Referring to FIG. 3, in one embodiment of the present disclosure, the component type of an interactive component may be determined in the following manner:
s301: and acquiring text information in the key interaction area.
S302: and determining the component type of the interaction component corresponding to the key interaction region according to the text information.
Specifically, text information in the pictures in the key interaction area is obtained through technologies such as picture character recognition and the like, and the type of the component is determined according to the text information, so that a proper conversion path is provided. For example, when the picture contains a text such as a phone or a phone number, the picture can be marked as a phone guide, and the type of the component is determined as a phone guide type; if the picture contains text such as 'reservation', the picture can be marked as form guidance, and the type of the component is determined as the form guidance type. If the text information in the picture cannot show obvious transformation tendency, a preset type of component can be used, for example, the component with the largest transformation frequency or highest transformation rate is used.
For ease of understanding, the landing page generation method provided by the present disclosure is further described below with reference to fig. 4 of the accompanying drawings.
Referring to fig. 4, fig. 4 is a schematic diagram of a landing page generating method according to an embodiment of the present disclosure, as shown in fig. 4, including the following steps:
s401: and excavating a page interaction hot area.
And constructing an integral data set by taking the historically accumulated user historical behavior data, page content and the like as basic data. And counting the heat of the whole page through historical interaction behaviors of the user, such as clicking behaviors, clustering according to the heat of each region, obtaining a key interaction region of the whole page, comparing with page data to find out whether a picture is non-interactable, and if the picture region is non-interactable, selecting a hot region to be processed.
S402: and selecting a hot zone range.
And (3) processing the hot zone to be processed in the step S401, identifying a specific main body area through image detection, and delineating the interaction hot zone according to the main body range.
S403: the page translation component selects.
And (3) processing the hot area to be processed in the step S401, acquiring text information in the picture in a mode of picture character recognition and the like, selecting a proper conversion path according to the text information, and determining a proper component type.
S404: and (5) warehousing hot area data.
And storing the initial landing page, the position of the interaction hot zone and the component guide type corresponding to the interaction hot zone into a database.
S405: the user clicks on the page link and initially the floor page is rendered.
When the user clicks the link of the landing page, the front end of the page requests the service end, and the service end returns to the front end initial landing page without any relevant hot zone information.
S406: the interaction hotspots request and get.
The server side acquires the position of the interaction hot zone pre-stored in the database and the component guide type corresponding to the interaction hot zone, and returns the position and the component guide type to the front end of the page.
S407: the interactive hot zone component is added.
And the front end of the page receives the result returned in the step S406, generates a page component and performs dynamic rendering, and the page component is attached to the corresponding interaction hot area in the initial landing page. For example, a transparent conversion guide assembly may be added, or a visual guide button may be added, the button being in the form of a float layer, including but not limited to a bubble. To this end, the interaction hotspots are not interactable to be interconvertible.
S408: the user clicks the hot zone to interact.
After clicking the interaction component, the user may conduct a conversion guidance interaction, such as a pop-up form or making a call.
As an example, referring to fig. 5, fig. 5 is a schematic diagram of landing page generation provided by an embodiment of the present disclosure.
As shown in fig. 5, the initial landing page is formed by splicing pictures, and the initial landing page is put into a user in a certain period of time, so that the historical click behaviors of the user on the initial landing page are counted, and fig. 5 shows the page click positions generated by the historical click behaviors, and according to the distribution of the page click positions, a key interaction region with higher click density is selected, and then the key interaction region is subjected to regularization treatment to obtain an interaction hot region; in addition, text information of pictures in the key interaction area is identified, and corresponding component types are determined according to the text information. After the interaction hot area and the component types are determined, after a user clicks a corresponding landing page link, the interaction components are added in the interaction hot area on the basis of throwing an initial landing page to the user.
Because the process of adding the interaction component is faster, the user actually sees the landing page after adding the interaction component, and the user can click the interaction component in the landing page in the process of browsing the landing page, so that interaction is realized.
Therefore, the problem of interaction missing in the landing page formed by the static pictures is solved, so that the interaction intention of the user can be satisfied, and the browsing experience of the user is improved. And the conversion way of the landing page is enriched, the conversion rate of the landing page is improved, and the flow value is exerted to the maximum.
Referring to fig. 6, fig. 6 is a block diagram of an apparatus for implementing a landing page generation method of an embodiment of the present disclosure, as shown in fig. 6, the apparatus may include:
a generating module 601, configured to generate an initial landing page in response to a landing page generating instruction;
an appending module 602, configured to append an interaction component to an interaction hot zone of the initial landing page, where the interaction hot zone is determined based on pre-collected historical interaction behavior data for the initial landing page.
In one embodiment of the present disclosure, the historical interaction behavior data includes: the page clicks on a location.
In one embodiment of the present disclosure, on the basis of the apparatus shown in fig. 6, further includes: a hot zone determination module for:
the interaction hot zone of the initial landing page is determined in the following way:
acquiring historical interaction behavior data of a user aiming at the initial landing page in a historical period; determining a key interaction region based on the historical interaction behavior data;
judging whether the key interaction area is a picture area which cannot be interacted, if so, identifying a main body area of the key interaction area based on an image detection technology, and determining the main body area as the interaction hot area.
In one embodiment of the present disclosure, on the basis of the apparatus shown in fig. 6, further includes: a component type determining module for: the component type of the interactive component is determined in the following manner:
acquiring text information in the key interaction area;
and determining the component type of the interaction component corresponding to the key interaction region according to the text information.
In the landing page generation scheme provided in the above embodiment, historical interaction behavior data for an initial landing page is collected in advance, and the interaction hot zone is determined based on the historical interaction behavior data. After receiving the landing page generation instruction, generating an initial landing page, and attaching an interaction component to the interaction hot area of the initial landing page, so that the interaction component can respond to interaction behaviors of a user.
The method solves the problem of interaction missing in the landing page formed by the static pictures, ensures that the interaction intention of the user can be satisfied, and improves the browsing experience of the user. And the conversion way of the landing page is enriched, the conversion rate of the landing page is improved, and the flow value is exerted to the maximum.
In addition, compared with the mode that the advertiser adds the page component according to experience by oneself, in the method, historical interaction behavior data of a large number of users are collected, data basis can be provided for optimizing the landing page, further, the interaction component is automatically added in the interaction hot area of the initial landing page through a computer program, interaction experience of the landing page is optimized, no modification is needed for the initial landing page by the advertiser, and a large number of experience cost and labor operation cost are reduced.
According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.
The present disclosure provides 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 floor page generation method.
The present disclosure provides a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute a landing page generation method.
The present disclosure provides a computer program product comprising a computer program which, when executed by a processor, implements a landing page generation method.
Fig. 7 illustrates a schematic block diagram of an example electronic device 700 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, the apparatus 700 includes a computing unit 701 that can perform various suitable actions and processes according to a computer program stored in a Read Only Memory (ROM) 702 or a computer program loaded from a storage unit 708 into a Random Access Memory (RAM) 703. In the RAM703, various programs and data required for the operation of the device 700 may also be stored. The computing unit 701, the ROM 702, and the RAM703 are connected to each other through a bus 704. An input/output (I/O) interface 705 is also connected to bus 704.
Various components in device 700 are connected to I/O interface 705, including: an input unit 706 such as a keyboard, a mouse, etc.; an output unit 707 such as various types of displays, speakers, and the like; a storage unit 708 such as a magnetic disk, an optical disk, or the like; and a communication unit 709 such as a network card, modem, wireless communication transceiver, etc. The communication unit 709 allows the device 700 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The computing unit 701 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 701 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 calculation unit 701 performs the respective methods and processes described above, such as a landing page generation method. For example, in some embodiments, the floor page generation method may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 708. In some embodiments, part or all of the computer program may be loaded and/or installed onto device 700 via ROM 702 and/or communication unit 709. When a computer program is loaded into the RAM703 and executed by the computing unit 701, one or more steps of the above-described floor page generation method may be performed. Alternatively, in other embodiments, the computing unit 701 may be configured to perform the floor page generation method by any other suitable means (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 may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.
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 or sequentially or in a different order, provided that the desired results of the technical solutions of 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 (10)
1. A landing page generation method, comprising:
based on historical interaction behavior data of a user aiming at a landing page, counting the heat of the landing page, and clustering the heat of each area in the landing page to obtain a key interaction area of the landing page;
when the key interaction area is a picture area which cannot be interacted, determining a main body area of the key interaction area as an interaction hot area;
acquiring text information in the interaction hot area, and determining a component type corresponding to the text information;
generating an initial landing page in response to a landing page generation instruction;
and adding interactive components of corresponding component types in an interactive hot area of the initial landing page, wherein the interactive hot area is determined based on the pre-collected historical interactive behavior data aiming at the initial landing page.
2. The method of claim 1, wherein the historical interaction behavior data comprises: the page clicks on a location.
3. The method of any of claims 1 or 2, wherein the interaction zone of the initial landing page is determined by:
acquiring historical interaction behavior data of a user aiming at the initial landing page in a historical period;
determining a key interaction region based on the historical interaction behavior data;
judging whether the key interaction area is a picture area which cannot be interacted, if so, identifying a main body area of the key interaction area based on an image detection technology, and determining the main body area as the interaction hot area.
4. A method according to claim 3, further comprising determining the component type of the interactive component in the following manner:
acquiring text information in the key interaction area;
and determining the component type of the interaction component corresponding to the key interaction region according to the text information.
5. A landing page generation apparatus comprising:
the acquisition module is used for counting the heat of the landing page based on the historical interaction behavior data of the user aiming at the landing page, clustering the heat of each area in the landing page and acquiring the key interaction area of the landing page;
the first determining module is used for determining a main body area of the key interaction area as an interaction hot area when the key interaction area is a picture area which cannot be interacted;
the second determining module is used for acquiring text information in the interaction hot area and determining a component type corresponding to the text information;
the generation module is used for responding to the landing page generation instruction and generating an initial landing page;
and the additional module is used for adding the interactive components of the corresponding component types in the interactive hot area of the initial landing page, wherein the interactive hot area is determined based on the pre-collected historical interactive behavior data aiming at the initial landing page.
6. The apparatus of claim 5, wherein the historical interaction behavior data comprises: the page clicks on a location.
7. The apparatus of any of claims 5 or 6, further comprising: a hot zone determination module for:
the interaction hot zone of the initial landing page is determined in the following way:
acquiring historical interaction behavior data of a user aiming at the initial landing page in a historical period; determining a key interaction region based on the historical interaction behavior data;
judging whether the key interaction area is a picture area which cannot be interacted, if so, identifying a main body area of the key interaction area based on an image detection technology, and determining the main body area as the interaction hot area.
8. The apparatus of claim 7, further comprising: a component type determining module for: the component type of the interactive component is determined in the following manner:
acquiring text information in the key interaction area;
and determining the component type of the interaction component corresponding to the key interaction region according to the text information.
9. 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 1-4.
10. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110944002.6A CN113656733B (en) | 2021-08-17 | 2021-08-17 | Floor page generation method and device, electronic equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110944002.6A CN113656733B (en) | 2021-08-17 | 2021-08-17 | Floor page generation method and device, electronic equipment and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113656733A CN113656733A (en) | 2021-11-16 |
| CN113656733B true CN113656733B (en) | 2024-01-19 |
Family
ID=78480467
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110944002.6A Active CN113656733B (en) | 2021-08-17 | 2021-08-17 | Floor page generation method and device, electronic equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113656733B (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114385957A (en) * | 2022-03-24 | 2022-04-22 | 北京搜狐新媒体信息技术有限公司 | Landing page creation method and station building platform |
| CN115188014B (en) * | 2022-06-22 | 2023-11-14 | 北京百度网讯科技有限公司 | Floor page processing method, model training method, device and electronic equipment |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105574185A (en) * | 2015-12-22 | 2016-05-11 | 北京奇虎科技有限公司 | Method and device for providing clustering type intelligent summaries |
| WO2017101818A1 (en) * | 2015-12-16 | 2017-06-22 | 广州神马移动信息科技有限公司 | Search result display method and device and search system |
| CN111783008A (en) * | 2019-04-04 | 2020-10-16 | 百度在线网络技术（北京）有限公司 | Information display method, device, equipment and medium |
| CN112597421A (en) * | 2020-12-29 | 2021-04-02 | 上海硬通网络科技有限公司 | Landing page processing method and device and electronic equipment |
| CN112733044A (en) * | 2021-03-30 | 2021-04-30 | 腾讯科技（深圳）有限公司 | Recommended image processing method, apparatus, device and computer-readable storage medium |
| CN112835664A (en) * | 2021-01-15 | 2021-05-25 | 北京高因科技有限公司 | Automatic configuration system for marketing landing page |
| CN113159807A (en) * | 2020-01-07 | 2021-07-23 | 百度在线网络技术（北京）有限公司 | Landing page processing method, device, equipment and medium |
-
2021
- 2021-08-17 CN CN202110944002.6A patent/CN113656733B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2017101818A1 (en) * | 2015-12-16 | 2017-06-22 | 广州神马移动信息科技有限公司 | Search result display method and device and search system |
| CN105574185A (en) * | 2015-12-22 | 2016-05-11 | 北京奇虎科技有限公司 | Method and device for providing clustering type intelligent summaries |
| CN111783008A (en) * | 2019-04-04 | 2020-10-16 | 百度在线网络技术（北京）有限公司 | Information display method, device, equipment and medium |
| CN113159807A (en) * | 2020-01-07 | 2021-07-23 | 百度在线网络技术（北京）有限公司 | Landing page processing method, device, equipment and medium |
| CN112597421A (en) * | 2020-12-29 | 2021-04-02 | 上海硬通网络科技有限公司 | Landing page processing method and device and electronic equipment |
| CN112835664A (en) * | 2021-01-15 | 2021-05-25 | 北京高因科技有限公司 | Automatic configuration system for marketing landing page |
| CN112733044A (en) * | 2021-03-30 | 2021-04-30 | 腾讯科技（深圳）有限公司 | Recommended image processing method, apparatus, device and computer-readable storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 一种基于时间序列的热点话题发现模型和算法;魏德志;陈福集;林丽娜;;情报科学(10);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113656733A (en) | 2021-11-16 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP6117452B1 (en) | System and method for optimizing content layout using behavioral metric | |
| CN113656733B (en) | Floor page generation method and device, electronic equipment and storage medium | |
| EP3287973A1 (en) | Method and device for information processing | |
| CN113205189B (en) | Method for training prediction model, prediction method and device | |
| CN114330249A (en) | Information editing method, device, equipment and storage medium | |
| CN115168732A (en) | Resource recommendation method, device, equipment and storage medium | |
| CN115578486A (en) | Image generation method and device, electronic equipment and storage medium | |
| CN114077371A (en) | Information display method and device, electronic equipment and storage medium | |
| CN114706610A (en) | Business flow chart generation method, device, equipment and storage medium | |
| CN114490126A (en) | Page processing method and device, electronic equipment and storage medium | |
| CN113961797A (en) | Resource recommendation method and device, electronic equipment and readable storage medium | |
| CN113360693A (en) | Method and device for determining image label, electronic equipment and storage medium | |
| CN113656731A (en) | Advertisement page processing method and device, electronic equipment and storage medium | |
| CN114138358A (en) | Application program starting optimization method, device, equipment and storage medium | |
| CN112632384A (en) | Data processing method and device for application program, electronic equipment and medium | |
| CN113515210A (en) | Display method, display device, electronic equipment and storage medium | |
| CN113343090B (en) | Method, apparatus, device, medium and product for pushing information | |
| CN115131641A (en) | Image recognition method and device, electronic equipment and storage medium | |
| JP2017134854A (en) | Systems and methods for optimizing content layout using behavior metrics | |
| CN114510189A (en) | Label switching method and device, electronic equipment and storage medium | |
| CN113934931A (en) | Information recommendation method, device, equipment, storage medium and program product | |
| CN116827703A (en) | Virtual interaction control method, device, equipment and storage medium | |
| CN112685640A (en) | Method for recommending reading content, electronic device and computer-readable storage medium | |
| CN117668833A (en) | Abnormal operation identification method, device, electronic equipment and storage medium | |
| CN117076796A (en) | Comment ordering method and device, electronic equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |