CN113672794B

CN113672794B - Page generation method, device and medium

Info

Publication number: CN113672794B
Application number: CN202111020352.XA
Authority: CN
Inventors: 杨召远; 周娇; 段竞哲; 姜晨怡; 熊聘; 范智杰
Original assignee: Ctrip Computer Technology Shanghai Co Ltd
Current assignee: Ctrip Computer Technology Shanghai Co Ltd
Priority date: 2021-09-01
Filing date: 2021-09-01
Publication date: 2023-08-29
Anticipated expiration: 2041-09-01
Also published as: CN113672794A

Abstract

The embodiment of the application provides a page generation method, a device, equipment and a medium, wherein the method comprises the following steps: determining index keywords of pages to be generated; determining keyword variable information of the index keywords, wherein the keyword variable information is related to the business scene of the page to be generated; determining a component list matched with the index keyword based on the keyword variable information; generating page configuration according to the component list; and generating a page associated with the index key word according to the page configuration. The technical scheme in the embodiment of the application has higher efficiency.

Description

Page generation method, device and medium

Technical Field

The present application relates to the field of software, and in particular, to a method, an apparatus, a device, and a medium for generating a page.

Background

Along with the action of the search technology, how to effectively and timely display pages during searching is a problem to be solved. And then the rapid generation of pages suitable for being searched becomes a research hotspot in the technical field. How to generate pages that can be effectively searched becomes a hot spot research problem.

Disclosure of Invention

Aiming at the problems in the prior art, the embodiment of the application provides a page generation method, which comprises the following steps:

determining index keywords of pages to be generated;

determining keyword variable information of the index keywords, wherein the keyword variable information is related to the business scene of the page to be generated;

determining a component list matched with the index keyword based on the keyword variable information;

generating page configuration according to the component list;

and generating a page associated with the index key word according to the page configuration.

Optionally, the page is an SEO page.

Optionally, the keyword variable information of the index keyword is determined in combination with a semantic recognition mode.

Optionally, determining the keyword variable information of the index keyword includes:

expanding the index keywords to obtain an expanded keyword set;

gathering association data from the network relating to the set of keywords;

and extracting the keyword variable information based on the associated data.

Optionally, the index keyword may be expanded in any one or more of the following manners: template word development, AI word development and user search words.

Optionally, the determining the component list matching the index keyword based on the keyword variable information includes:

and analyzing the key word variable information to obtain matched components, wherein the component list comprises the matched components.

Optionally, the performing feature analysis on the keyword variable information to obtain a matched component includes:

performing feature analysis on the key word variable information to extract a classification label to which the index key word belongs;

and matching a component list conforming to the index keyword characteristics through a tag matching algorithm.

Optionally, the matching the component list most conforming to the index keyword feature through the tag matching algorithm includes:

matching the classification labels to which the index keywords belong with a label set of the components, and screening out the components meeting the conditions;

and sorting the components under the condition according to the matched weight, and selecting components in a preset sorting range to record in the component list.

Optionally, generating the page configuration according to the component list includes:

generating corresponding JSON configuration according to JSOnSchema of each component in the assembly list;

analyzing variable values of the keyword variable information, and replacing corresponding parameters in JSON configuration with the variable values;

the configuration of each component in the merge component list is the JSON configuration of the page.

Optionally, the page generating method further includes: checking parameters in the JSON configuration, the checking including at least one of: type check, range check, and fill-in check.

Optionally, the page generating method further includes: and carrying out preview verification on the generated page.

Optionally, performing preview verification on the generated page includes: the rendering content expected by each component is verified.

Optionally, a list of components matching the index key is determined using a recommendation algorithm.

The embodiment of the application also provides a page generating device, which comprises:

an index keyword determining unit adapted to determine an index keyword of a page to be generated;

the variable information determining unit is suitable for determining keyword variable information of the index keywords, and the keyword variable information is related to the business scene of the page;

a component list determining unit adapted to determine a component list matching the index keyword based on the keyword variable information;

a page configuration generating unit adapted to generate a page configuration according to the component list;

and the page generating unit is used for generating pages associated with the index keywords according to the page configuration.

The embodiment of the application also provides electronic equipment, which comprises:

a processor;

a memory having stored therein executable instructions of the processor;

wherein the processor is configured to perform the page generation method via execution of the executable instructions.

The embodiment of the application also provides a computer readable storage medium for storing a program, which when executed, implements the page generation method.

According to the technical scheme provided by the embodiment of the application, the keyword variable information is determined, the component list is determined according to the keyword variable information, and then the page configuration is generated, so that the generated page is easier to search. Specifically, since the keyword variable information is related to the service scene of the page to be produced, the page generated based on the keyword variable information can be better related to the index keywords, that is, the keyword coverage rate of the page can be improved, so that the generated page can be better searched.

Further, by expanding the keywords and searching the associated data based on the expanded keyword set, further keyword variable information is extracted, the association between the keywords and the business scene can be improved, and further pages with higher keyword coverage rate can be generated.

Further, by matching the keyword information with the components, the components based on the generated pages are obtained, so that the content of the pages is richer, and the matching degree with the keywords is higher.

Drawings

Other features, objects and advantages of the present application will become more apparent upon reading of the detailed description of non-limiting embodiments, made with reference to the following drawings.

FIG. 1 is a flow chart of a page generation method in an embodiment of the application;

FIG. 2 is a flow chart of a method of determining keyword variable information in an embodiment of the present application;

FIG. 3 is a flow chart of another method of determining a component list in an embodiment of the application;

FIG. 4 is a flow chart of a method of generating a page configuration in an embodiment of the application;

FIG. 5 is a schematic diagram of a platform of an SEO page according to an embodiment of the application;

FIG. 6 is a schematic diagram of a variable information determining unit according to an embodiment of the present application;

FIG. 7 is a schematic diagram of a client or server according to an embodiment of the present application; and

fig. 8 is a schematic structural view of a computer-readable storage medium in an embodiment of the present application.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments can be embodied in many forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and thus a repetitive description thereof will be omitted.

The embodiment of the application provides a page generation method, which can be combined with reference to fig. 1 and comprises the following steps:

step S11, determining index keywords of pages to be generated;

step S12, determining keyword variable information of the index keywords, wherein the keyword variable information is related to the business scene of the page to be generated;

step S13, determining a component list matched with the index key words based on the key word variable information;

step S14, generating page configuration according to the component list;

and step S15, generating a page associated with the index key word according to the page configuration.

The index keywords are searched and serve as keywords of a search index. In the embodiment of the application, the searched probability of the generated page can be effectively improved by determining the keyword variable information and determining the component list according to the keyword variable information so as to generate the page configuration. Specifically, since the keyword variable information is related to the service scene of the page to be produced, the page generated based on the keyword variable information can be better related to the index keywords, that is, the keyword coverage rate of the page can be improved, so that the generated page can be better searched.

In a specific implementation, the page associated with the index keyword may be a page directly associated with the index keyword or a page associated with a keyword obtained by expanding the index keyword. Thus, the generated page can be more easily searched. In a specific implementation, a plurality of pages may also be generated, where the plurality of pages corresponds to the index keywords or the expanded keywords one by one. The embodiment can also realize the effect of enabling the page to be searched more easily.

In a specific implementation, the step S12 may be performed in combination with a semantic recognition method, and the specific implementation of the step S13 may determine, by using a recommendation algorithm, a component list matching the index key. The following will explain the present application in detail.

In a specific implementation, the keyword variable information may be information related to a service scenario of a web page to be produced, for example, in a page recommended by the trip information, the keyword variable information may include information of a city, a hotel, an air ticket, and the like. The keyword variable information can be realized in various modes, and can be obtained based on expansion of index keywords.

In a specific implementation, the page generation method can be used for generating a Search engine optimization (Search EngineOptimization, SEO) page, wherein SEO refers to internal and external adjustment optimization on websites on the basis of knowing a natural ranking mechanism of the Search engine, so that the natural ranking of keywords of the websites in the Search engine is improved, and more traffic is obtained.

Conventional SEO pages use a fixed uniform resource identifier (UniformResource Identifier, URI) template to determine the content presentation of the page, the content being composed of various components, the data in the components being determined by parameters in the URI. If the URI of the request initiated by the user is flight/bjs-TO-sha (request example), the SEO service will match TO the corresponding A-TO-B (template example) page template according TO the URI of the request, render all the components in the template, then parse out the three codes corresponding TO the departure city and the arrival city from the URI, each component will call the component service according TO the departure and the arrival three codes as request parameters, and return the flight data of the OD.

Conventional SEO pages rely on a limited number of templates to maintain page content, which can present three problems:

(1) The way that the URI is matched with the page can only cover partial regular keywords, and most irregular keywords cannot be matched with the URI, so that the SEO page of the keywords is missing.

(2) The newly added templates need to be developed in a large amount, new URI rules need to be analyzed, and the online period is long.

(3) Since keywords are generated by combining cities through URI rules, keywords without product data are generated, so that page data are lost, and the content is thin.

The embodiment of the application provides a method for automatically generating an SEO page, which completes the automatic generation of the SEO page through semantic recognition and a recommendation algorithm, and each keyword can correspond to an independent SEO page, thereby solving the problems of low keyword coverage rate, long online period and single page content of the traditional SEO page. Further description is provided below.

Fig. 2 is a flowchart of a method for determining keyword variable information, and referring to fig. 2, in an embodiment of the present application, keyword variable information may be determined by:

step S21, expanding the index keywords to obtain an expanded keyword set;

step S22, collecting the associated data related to the keyword set from the network;

and step S23, extracting the keyword variable information based on the associated data.

In a specific implementation, the index key words are expanded in any one or more of the following ways: template word development, artificial intelligence (ArtificialIntelligence, AI) word development and user search words.

In a specific implementation, when expanding the keywords, the keyword performance data may be combined, where the keyword performance data is an evaluation of how easily the keywords are searched, and may include, for example, the following index evaluation: page rank, search volume, and popularity.

By expanding the keywords, the related data is searched based on the expanded keyword set, and then the keyword variable information is extracted, so that the relevance between the keywords and the business scene can be improved, and then the page with higher keyword coverage rate can be generated.

In a specific implementation, the index key may be an index of the SEO pages, each key corresponds to one SEO page, and the index key is associated with the content and the number of components of the page. The method has the advantages that the number of keywords is increased based on index keywords by adopting the word expansion modes such as template word expansion, AI word expansion, user search words and the like, the information of the expanded keywords is collected, a large amount of information related to the keywords is crawled by a crawler, a data basis is provided for semantic recognition of the keywords, and after a large amount of related data is provided, some variable information related to the keywords, such as information of cities, airports, hotels and the like, can be extracted, so that an SEO page can be more easily searched, and the problem of low SEO page coverage rate is solved.

In a specific implementation, the determining, based on the keyword variable information, the component list matching the index keyword may be implemented as follows: and analyzing the key word variable information to obtain matched components, wherein the component list comprises the matched components.

Specifically, the analysis of the keyword variable information may be a semantic analysis of the keyword variable. The matched component is obtained through semantic analysis, further can be obtained through semantic analysis by combining the labels of the component, the labels of the keyword information are obtained through semantic analysis, and the two labels are matched to obtain the component matched with the index keyword.

The component is a small module in the page, which may be, for example, a small module in an SEO page, and the component needs to request parameters to render the data. In a specific implementation, a request parameter list may be maintained for each component, and keyword variable information extracted through semantic recognition is filled into the corresponding component in the page generation stage. Component recommendation algorithms are based on a large number of keyword information data, such as crawler-acquired search engine result page data and user-related search term data, and the like. And carrying out feature analysis on the data, extracting classification labels to which the keywords belong, and then matching a component list which is most in line with the features of the keywords through a label matching algorithm.

In particular implementations, referring to fig. 3 in combination, the matched components may be obtained by:

step S31, performing feature analysis on the key word variable information, and extracting a classification label to which the index key word belongs;

step S32, matching the classification labels to which the index keywords belong with the label sets of the components, and screening out the components meeting the conditions;

and step S33, sorting the components under the condition according to the matched weight, and selecting the components in a preset sorting range to record in the component list.

As mentioned above, when determining the component list matching with the index keyword based on the keyword variable information, the method may be performed based on a recommendation algorithm, and the embodiment above provides a specific implementation of a recommendation algorithm, and may also be performed by using other recommendation algorithms. The generated pages are richer and more personalized by using the recommendation algorithm, the quality of the generated pages is also guaranteed to be higher, and the requirements on flexibility and variability of the pages in the rapid business development are met.

Referring to fig. 4 in combination, in an implementation, generating a page configuration may include the steps of:

step S41, generating corresponding JSON configuration according to JSOnSchema of each component in the assembly list;

step S42, analyzing the variable value of the keyword variable information, and replacing the corresponding parameter in the JSON configuration with the variable value;

in step S43, the configuration of each component in the component list is merged into JSON configuration of the page.

Among them, JSON (JavaScriptObjectNotation, JS object profile) is a lightweight data exchange format. It stores and presents data in a text format that is completely independent of the programming language, based on a subset of ECMAScript (js specification formulated by the european computer institute). The compact and clear hierarchical structure makes JSON an ideal data exchange language. Is easy to read and write by people, is easy to analyze and generate by machines, and effectively improves the network transmission efficiency. Json is a very widely used data exchange format at present. Since it is the format used for data exchange, both parties to the data exchange exist. How to agree on or verify the data format of the other party is satisfactory, and is a problem to be solved by service interaction. JsonSchema is one criterion used to define Json data constraints.

It can be appreciated that in a specific implementation, other data exchange format configurations may be adopted, corresponding data exchange format configurations are generated according to exchange format constraint criteria of each component in the assembly list, variable values of the keyword variable information are analyzed, and the variable values replace corresponding parameters in the data exchange format configurations; the configuration of each component in the combined component list is configured as the data exchange format of the page.

In particular implementations, the parameters in the data exchange format configuration may be checked, the checking including at least one of: type check, range check, and fill-in check. In implementations, preview verification may also be performed on the generated pages, such as verifying the rendering content desired by each component.

By checking the generated page, the quality of page generation can be ensured, the generation of waste resources generated again by the inferior interface is avoided, and the page can be generated more efficiently.

The embodiment of the application also provides a page generating device, which specifically comprises the following units:

In a specific implementation, the page generating apparatus of the foregoing embodiment may be located on an SEO platform, that is, a platform that generates an SEO page, where the platform may be a single server or a server cluster. Fig. 5 is a schematic structural diagram of a platform of an SEO page according to an embodiment of the present application. It will be appreciated that the fabrication of non-SEO pages may also take into account the schematic structure.

FIG. 6 is a schematic diagram of a variable information determining unit, a keyword related information expanding unit adapted to expand the index keywords to obtain an expanded keyword set, and collecting related data related to the keyword set from a network; and extracting the keyword variable information based on the associated data. As mentioned above, the expansion can be performed by means of word expansion, crawler and the like. And obtaining the variable information of the keywords through semantic recognition. Tags may also be determined for keywords by a recommendation algorithm to base matching. It can be understood that the key word variable information is subjected to feature analysis, and classification labels to which the index key words belong are extracted; or may be implemented in the component list determination unit. There is no limitation in this regard.

The respective functional modules in the above-described embodiments may be implemented in whole or in part by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a program instruction product. The program instruction product includes one or more program instructions. When the program instructions are loaded and executed on a computer, the processes or functions in accordance with the present application are produced in whole or in part. The computer may be a general purpose computer, a special purpose computer, a computer network, or other programmable apparatus. The program instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another.

Moreover, the device disclosed in the foregoing embodiments may be implemented in other manners. For example, the apparatus embodiments represented above are merely illustrative, as the partitioning of modules may be merely a logical functional partitioning, and there may be additional partitioning in actual implementation, as multiple modules or modules may be combined or may be dynamic to another system, or some features may be omitted, or not implemented. In addition, the coupling or direct coupling or communication connection shown or discussed with each other may be through some interfaces, indirect coupling or communication connection of devices or modules, and may be in electrical or other forms.

In addition, each functional module and sub-module in the above embodiments may be dynamically in one processing unit, or each module may exist alone physically, or two or more modules may be dynamically in one unit. The dynamic components described above may be implemented in hardware or in software functional modules. The dynamic components described above, if implemented in the form of software functional modules and sold or used as a stand-alone product, may also be stored in a computer-readable storage medium. The storage medium may be read-only memory, magnetic disk or optical disk

a processor;

a memory having stored therein executable instructions of the processor;

wherein the processor is configured to perform the method for page generation described above via execution of the executable instructions.

The embodiment of the application also provides a computer readable storage medium for storing a program which, when executed, implements the page generation method described above.

The implementation principle and the beneficial effects of the device, the method, the medium, the equipment and the like in the embodiment of the application are the same, and can be mutually referred.

Those skilled in the art will appreciate that the various aspects of the application may be implemented as a system, method, or program product. Accordingly, aspects of the application may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" platform.

Fig. 7 is a schematic structural diagram of a client or a server according to an embodiment of the present application. An electronic device 600 according to this embodiment of the application for implementing the aforementioned page generation method is described below with reference to fig. 6. The electronic device 600 shown in fig. 7 is merely an example, and should not be construed as limiting the functionality and scope of use of embodiments of the present application.

As shown in fig. 7, the electronic device 600 is in the form of a general purpose computing device. Components of electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one memory unit 620, a bus 630 connecting the different platform components (including memory unit 620 and processing unit 610), a display unit 640, etc.

Wherein the storage unit stores program code executable by the processing unit 610 such that the processing unit 610 performs the steps according to various exemplary embodiments of the present application described in the above-described electronic prescription flow processing method section of the present specification.

The storage unit 620 may include readable media in the form of volatile storage units, such as Random Access Memory (RAM) 6201 and/or cache memory unit 6202, and may further include Read Only Memory (ROM) 6203.

The storage unit 620 may also include a program/utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.

Bus 630 may be a local bus representing one or more of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or using any of a variety of bus architectures.

The electronic device 600 may also communicate with one or more external devices 700 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 600, and/or any device (e.g., router, modem, etc.) that enables the electronic device 600 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 650. Also, electronic device 600 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 660. The network adapter 660 may communicate with other modules of the electronic device 600 over the bus 630. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 600, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage platforms, and the like.

Fig. 8 is a schematic structural view of a computer-readable storage medium of the present application. Referring to fig. 8, a program product 800 for implementing the above-described method according to an embodiment of the present application is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present application is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.

The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

The computer readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable storage medium may also be any readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.

Program code for carrying out operations of the present application may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).

In the description of the present specification, reference to the terms "one embodiment," "re-embodying," "specifically," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the various embodiments or examples described in this specification and the features of the various embodiments or examples may be combined and combined by persons skilled in the art without contradiction.

Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "a plurality" is two or more, unless explicitly defined otherwise.

Any process or method description in a flowchart or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process. And the scope of the preferred embodiments of the present application includes additional implementations in which functions may be performed in a substantially simultaneous manner or in an opposite order from that shown or discussed, including in accordance with the functions that are involved.

Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions.

In summary, according to the technical scheme in the embodiment of the application, the automatic loading of the operating system can be realized by determining the mirror template and generating the client system deployment automation script for loading the operating system to the client, so that the loading efficiency in the scene of loading the operating system on a large scale can be improved.

The foregoing is a further detailed description of the application in connection with the preferred embodiments, and it is not intended that the application be limited to the specific embodiments described. It will be apparent to those skilled in the art that several simple deductions or substitutions may be made without departing from the spirit of the application, and these should be considered to be within the scope of the application.

Claims

1. A page generation method, comprising:

determining index keywords of pages to be generated;

generating page configuration according to the component list;

2. The page generation method of claim 1, wherein the page is an SEO page.

3. The page generation method of claim 1, wherein the keyword variable information of the index keyword is determined in combination with semantic recognition.

4. The page generation method of claim 1, wherein determining the keyword variable information of the index keyword comprises:

expanding the index keywords to obtain an expanded keyword set;

gathering association data from the network relating to the set of keywords;

and extracting the keyword variable information based on the associated data.

5. The page generation method of claim 4, wherein the index key is expanded in any one or more of the following ways: template word development, AI word development and user search words.

6. The page generating method as claimed in claim 1, wherein the determining of the component list matching the index key based on the key variable information comprises:

7. The page generation method of claim 6, wherein the performing feature analysis on the key word variable information to obtain matched components includes:

8. The page generating method as recited in claim 7, wherein the matching the component list most conforming to the index key feature by the tag matching algorithm comprises:

9. The page generation method of claim 1, wherein generating a page configuration from the component list comprises:

10. The page generation method according to claim 9, further comprising: checking parameters in the JSON configuration, the checking including at least one of: type check, range check, and fill-in check.

11. The page generation method according to claim 1, further comprising: and carrying out preview verification on the generated page.

12. The page generation method of claim 11, wherein performing preview verification on the generated page comprises: the rendering content expected by each component is verified.

13. The page generation method of claim 1, wherein a list of components matching the index key is determined using a recommendation algorithm.

14. A page generating apparatus, comprising:

15. An electronic device, comprising:

a processor;

a memory having stored therein executable instructions of the processor;

wherein the processor is configured to perform the page generation method for implementing any of claims 1 to 13 via execution of the executable instructions.

16. A computer-readable storage medium storing a program, characterized in that the program when executed implements the page generating method of any one of claims 1 to 13.