CN113343137A - Optimized SEO page generation method and device, electronic equipment and storage medium - Google Patents
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Abstract
The application relates to an optimized SEO page generation method, an optimized SEO page generation device, electronic equipment and a storage medium, wherein the method comprises the following steps: obtaining a sample page from a search engine, wherein the sample page is a page indexed by the search engine and corresponding to a preset sequence; determining a sample template, sample data variable and constant data corresponding to the sample page; generating a revision page template according to the sample template and the initial template; generating a revision data variable according to the sample data variable, and loading the revision data variable and the constant data into the revision page template to generate a plurality of revision pages; inputting each revised page into a trained prediction model to obtain a click quantity prediction value corresponding to each revised page; and determining at least one page from the plurality of revised pages as a test page according to the click rate predicted value, and outputting the test page. The method and the device have the effect of improving the SEO optimization page generation quality.
Description
Technical Field
The present application relates to the field of computers, and in particular, to an optimized SEO page generation method, apparatus, electronic device, and storage medium.
Background
Search engines generally consist of several modules: the device comprises a grabbing module, a filtering module, a recording module and a sequencing module; SEO (search Engine optimization) is used for optimizing a search Engine, and internal and external adjustment and optimization are carried out on a website, so that the natural ranking of keywords of the website in the search Engine is improved, and more traffic is obtained.
In the related art, in order to efficiently and quickly test a page, a static SEO page directly generated by using search keywords is often provided to a search engine for crawling indexes.
With respect to the above-described related art, the inventors consider that the following drawbacks exist: although a large number of SEO optimization pages can be generated in an automatic generation mode, the optimization effect of the SEO optimization pages cannot be evaluated in the related art.
Disclosure of Invention
In order to improve the generation quality of the SEO optimized page, the application provides an optimized SEO page generation method, an optimized SEO page generation device, electronic equipment and a storage medium.
In a first aspect, the present application provides an optimized SEO page generation method, which adopts the following technical scheme:
an optimized SEO page generation method comprises the following steps:
obtaining a sample page from a search engine, wherein the sample page is a page indexed by the search engine and corresponding to a preset sequence;
determining a sample template, sample data variable and constant data corresponding to the sample page;
generating a revision page template according to the sample template and the initial template;
generating a revision data variable according to the sample data variable, and loading the revision data variable and the constant data into the revision page template to generate a plurality of revision pages;
inputting each revised page into a trained prediction model to obtain a click quantity prediction value corresponding to each revised page;
and determining at least one page from the plurality of revised pages as a test page according to the click rate predicted value, and outputting the test page.
By adopting the technical scheme, the revising pages with various combination forms can be generated by automatically optimizing the sample template and the sample data variable, the click rate of the revising pages is predicted through the prediction model, the test page with better optimization effect can be obtained, and the accuracy of optimizing the SEO page is improved.
In one possible implementation, the sample data variables include: the system comprises sample keywords and a sample picture, wherein the revision data variables comprise revision keywords generated according to the sample keywords and a revision picture generated according to the sample picture.
By adopting the technical scheme, the initial webpage is optimized from the parameters of two types of pictures and characters to obtain the test page, and the effect of generating the richness of the revised page type is achieved.
In one possible implementation manner, generating a revision keyword corresponding to the sample keyword according to the sample keyword includes: and generating a revision keyword corresponding to the sample keyword according to the sample keyword.
By adopting the technical scheme, the search index which is more matched with the search effect of the user can be generated by optimizing the keywords.
In a possible implementation manner, the manner of generating a revised picture corresponding to the sample picture according to the sample picture at least includes the following manners: format conversion of pictures, resizing of pictures, compression of pictures, ALT tags of pictures, and naming of pictures.
By adopting the technical scheme, the use experience of the user is improved and the matching degree of the picture and the retrieval website is improved by optimizing the picture, so that the effect of improving the webpage click rate is achieved.
In a possible implementation manner, if the constant data is in a text format, the constant data is converted into a picture format.
By adopting the technical scheme, the constant data does not need to be modified, the content is reserved for designers, and the constant data in the picture format can avoid the crawler software from stealing and using the data.
In one possible implementation, the manner of loading the constant data includes:
preprocessing constant data in the form of pictures in a revised webpage, wherein the preprocessing comprises setting a display frame and dividing the revised keyword into character units according to the display frame;
creating a picture, generating a position pointer of a text unit in the picture, and filling the corresponding text unit into the picture according to the position pointer, wherein each picture corresponds to a calling position;
and if a page access request is received, loading the picture corresponding to the call position according to the call position, and displaying the text unit corresponding to the position pointer at the corresponding position in the page according to the position pointer.
By adopting the technical scheme, when the constant data in the form of the picture is browsed, the character unit is quoted and displayed according to the picture corresponding to the constant data, and the loading speed of the page is increased by a mode of quoting and calling.
In a possible implementation manner, after the generating the trial page, the method further includes: and acquiring the actual click quantity corresponding to the test page, inputting the actual click quantity into a prediction model, and updating the prediction model.
By adopting the technical scheme, the prediction effect of the prediction model can be improved by updating the prediction model according to the actual click quantity.
In a second aspect, the present application provides an SEO promotion dynamic generation custom page management apparatus, which adopts the following technical scheme:
a kind of SEO promotes the self-defining page management apparatus of dynamic generation, including:
the acquisition module is used for acquiring a sample page from a search engine, wherein the sample page is a page indexed by the search engine and corresponding to a preset sequence;
the first analysis module is used for determining a sample template, sample data variables and constant data corresponding to the sample page;
the template generating module generates a revision page template according to the sample template and the initial template;
the data generation module generates a revision data variable according to the sample data variable, and loads the revision data variable and the constant data into the revision page template to generate a plurality of revision pages;
the prediction module is used for inputting each revised page into a trained prediction model so as to obtain a click quantity prediction value corresponding to each revised page;
and the generating module determines at least one of the revision pages as a test page according to the click rate predicted value and outputs the test page.
By adopting the technical scheme, the revising pages with various combination forms can be generated by automatically optimizing the sample template and the sample data variable, the click rate of the revising pages is predicted through the prediction model, the test page with better optimization effect can be obtained, and the accuracy of optimizing the SEO page is improved.
In a third aspect, the present application provides an electronic device, which adopts the following technical solutions:
an electronic device, comprising:
one or more processors;
a memory;
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: the method for optimizing SEO page generation by the search engine is executed.
In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solutions:
a computer-readable storage medium, comprising: there is stored a computer program that can be loaded by a processor and that performs one of the search engine optimized SEO page generations described above.
In summary, the present application includes at least one of the following beneficial technical effects:
1. by automatically optimizing the sample template and the sample data variables, revision pages with various combination forms can be generated, click amounts of a plurality of revision pages are predicted through the prediction model, a test page with a good optimization effect can be obtained, and the accuracy of optimizing the SEO page is improved;
2. the prediction effect of the prediction model can be improved by updating the prediction model according to the actual click quantity;
3. when constant data in the form of pictures are browsed, the text units are quoted and displayed according to the pictures corresponding to the constant data, and the loading speed of the page is increased through a mode of quoting and calling.
Drawings
FIG. 1 is a flowchart of a method for generating an optimized SEO page according to an embodiment of the present application;
fig. 2 is a flowchart of steps 1041 to step 1044 of an optimized SEO page generation method;
FIG. 3 is a flowchart of an optimized SEO page generation method step 107;
FIG. 4 is a schematic diagram of an optimized SEO page generation apparatus according to an embodiment of the present application;
fig. 5 is a schematic diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The present application is described in further detail below with reference to the attached drawings.
A person skilled in the art, after reading the present description, may make modifications to the embodiments as required, without any inventive contribution thereto, but shall be protected by the patent laws within the scope of the claims of the present application.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
In addition, the term "and/or" herein is only one kind of association relationship describing an associated object, and means that there may be three kinds of relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. In addition, the character "/" herein generally indicates that the former and latter related objects are in an "or" relationship, unless otherwise specified.
The page optimization of the website is the optimization adjustment of the program, the content, the layout and the like of the webpage, so that the webpage is suitable for search engine retrieval, the ranking index of the search engine is met, and the ranking is promoted in the search engine retrieval.
In the development of a front end of a webpage, templates are generally used to improve the efficiency of generating and maintaining the webpage, and a modularly designed page template is widely used and can be reused as an external module for the structure, style and the like of a plurality of page templates.
When optimizing the webpage, a new page template may be added or an existing page template may be modified, and an old version of the page template may be often reserved for continuous use; similarly, the external module referenced by the page template may be added, modified or retained; therefore, in the optimization process, the page template called by adjusting the page template independently, or the external module called by changing the page template independently, or the page template and the external module are changed simultaneously may exist.
With reference to figure 1 of the drawings,
the embodiment of the application provides an optimized SEO page generation method, which is executed by electronic equipment and comprises the following steps:
and step S01, obtaining a sample page from the search engine.
The sample page is a page indexed by the search engine and corresponding to a preset order.
Specifically, for similar websites, for any keyword input by a user in a search engine, websites with a higher rank obtained from the search engine are taken as sample pages, for example, a first-rank page, a second-rank page, or any page from the first-rank page to the third-rank page is selected as a sample page.
And S102, determining a sample template, sample data variables and constant data corresponding to the sample page.
And step S103, generating a revised page template according to the sample template and the initial template.
And step S104, generating a revised data variable according to the sample data variable, and loading the revised data variable and the constant data into a revised page template to generate a plurality of revised pages.
And step S105, inputting each revised page into the trained prediction model to obtain a click quantity prediction value corresponding to each revised page.
The prediction model is a trained neural network model, so that sample data variables are loaded into the revision template, different page display effects can be formed, click rate prediction is performed on each generated revision page, and the revision page with the highest predicted click rate is selected as a test page, so that the effect of improving the click rate of the test page is achieved.
And S106, determining at least one revised page from the plurality of revised pages as a test page according to the click quantity predicted value, and outputting the test page.
By automatically optimizing the sample template and the sample data variables, revision pages with various combination forms can be generated, click amounts of a plurality of revision pages are predicted through the prediction model, a test page with a good optimization effect can be obtained, and the accuracy of optimizing the SEO page is improved.
Therefore, in a possible implementation manner of the embodiment of the present application, in step S104, the sample data variables include sample keywords and the sample picture, and the revised data variables include revised keywords generated according to the sample keywords and a revised picture generated according to the sample picture.
Specifically, examples are: the keyword information of the sample page may include: the method comprises the following steps of 'tourism', 'tourist attraction', 'hot spring', 'open-air hot spring', and the like, wherein a plurality of long-tail keywords related to the hot spring are generated according to the hot spring, and the long-tail keywords are the revised keywords.
Parameters for the optimization of the picture include: the size and the dimension of the picture, the definition of the picture, the alt label of the picture, the title label of the picture, characters around the picture, the name of the picture, the originality of the picture and the like; the Alt labels of the pictures are characterized in that Alt information is added to the pictures in the page where the pictures exist to describe the pictures, the pictures are not known by a search engine, the Alt attributes of the pictures are optimized to enable the picture search engine to understand the pictures better, and the Alt attributes are written in an Alt text mode.
And writing the optimized revised keywords, the revised pictures and the constant data into a revised template, and combining different types of parameters to form a revised page formed by combining the revised keywords, the revised pictures, the constant data and the revised template, so that the page display diversity is realized.
In a possible implementation manner of the embodiment of the present application, in step S104, a revision keyword corresponding to the sample keyword is generated according to the sample keyword, including step S1031: the method comprises the following steps: and expanding the sample key words to obtain one or more long-tail key words as the revised key words.
In a possible implementation manner of the embodiment of the present application, in step S104, a manner of generating a revised picture corresponding to the sample picture according to the sample picture at least includes the following manners: format conversion of pictures, resizing of pictures, compression of pictures, ALT tags of pictures, and naming of pictures.
With reference to figure 2 of the drawings,
the page optimization is to improve the click rate of putting into a web page in a similar website, and to avoid that the original content in the generated web page is not obtained by others through capturing web page data, a possible implementation manner of the embodiment of the present application includes step S1041 in step S104, and step S1041 includes: and if the constant data is in a character format, converting the constant data into a picture format. The method specifically comprises the following steps:
creating a picture display object, and transmitting the constant data and the text attribute of the constant data to the picture display object;
according to the text attribute, drawing characters in the picture display object;
and after the characters are drawn, taking the picture and the display object thereof as constant data of the picture format.
The method comprises the following steps of acquiring webpage data through a web crawler and other tools, extracting and separating useful data through program analysis, wherein one part of the work of the existing search engine is webpage data extraction; the function of displaying the characters in the picture format is realized by drawing the input characters in the picture display object (such as an OLE control).
According to the above situation, when a page has a great number of text messages in such picture formats to be displayed, a browser needs to send many requests for displaying pictures (one request for each picture), which may greatly affect the front-end performance of page display, and in order to increase the browsing speed of the web page, a possible implementation manner of the embodiment of the present application further includes, after step S1041:
with reference to figure 2 of the drawings,
step S1042, preprocessing the constant data in the form of pictures in the revised webpage, wherein the preprocessing comprises setting a display frame and dividing the revised keywords into character units according to the display frame;
s1043, creating a picture, generating a position pointer of the character unit in the picture, and filling the corresponding character unit into the picture according to the position pointer, wherein each picture corresponds to a calling position;
and step S1044, if a page access request is received, loading a picture corresponding to the calling position according to the calling position, and displaying a text unit corresponding to the position pointer at a corresponding position in the page according to the position pointer.
Specifically, the constant data with natural semantics are divided into character units, the display positions of the character units are determined by the positions of the pictures corresponding to the calling positions on the webpage and the positions of the character units on the corresponding pictures, and the reading speed of the constant data in the form of the pictures on the webpage is improved through the calling mode.
With reference to figure 3 of the drawings,
a possible implementation manner of the embodiment of the present application further includes step S107, where step S107 is provided after step S106, and further includes step S107, which includes: and acquiring the actual click quantity corresponding to the test page, inputting the actual click quantity into the prediction model, and updating the prediction model. And updating the prediction model by taking the generated experimental data as a sample so as to improve the accuracy of the output of the prediction model.
The above embodiment introduces an optimized SEO page generation method from the perspective of a method flow, and the following embodiment introduces an optimized SEO page generation apparatus from the perspective of a virtual module or a virtual unit, which is described in detail in the following embodiment.
An embodiment of the present application provides a search engine optimization SEO page generation apparatus, and referring to fig. 4, the search engine optimization SEO page generation apparatus 100 specifically includes:
the obtaining module 1001 obtains a sample page from a search engine, where the sample page is a page indexed by the search engine and corresponding to a preset order;
the first analysis module 1002 is used for determining a sample template, sample data variables and constant data corresponding to a sample page;
the template generating module 1003 generates a revised page template according to the sample template and the initial template;
the data generation module 1004 is used for generating a revised data variable according to the sample data variable and loading the revised data variable and the constant data into a revised page template so as to generate a plurality of revised pages;
the prediction module 1005 is used for inputting each revised page into the trained prediction model to obtain a click quantity prediction value corresponding to each revised page;
the generating module 1006 determines at least one of the plurality of revised pages as a test page according to the click quantity predicted value, and outputs the test page.
In an embodiment of the present application, an electronic device is provided, as shown in fig. 5, an electronic device 1000 shown in fig. 5 includes: a processor 1001 and a memory 1003. Processor 1001 and memory 1003 may be coupled together, such as by bus 5002. Optionally, the electronic device 1000 may also include a transceiver 1004. It should be noted that the transceiver 1004 is not limited to one in practical application, and the structure of the electronic device 1000 is not limited to the embodiment of the present application.
The Processor 1001 may be a CPU (Central Processing Unit), a general-purpose Processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other Programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 1001 may also be a combination of computing functions, e.g., comprising one or more microprocessors, DSPs and microprocessors, and the like.
The Memory 1003 may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to these.
The memory 1003 is used for storing application program codes for executing the present application, and the processor 1001 controls the execution. The processor 1001 is configured to execute application program codes stored in the memory 1003 to implement the contents shown in the foregoing method embodiments.
Among them, electronic devices include but are not limited to: mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., in-vehicle navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. But also a server, etc. The electronic device shown in fig. 5 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
The present application provides a computer-readable storage medium, on which a computer program is stored, which, when running on a computer, enables the computer to execute the corresponding content in the foregoing method embodiments.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The foregoing is only a partial embodiment of the present application, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present application, and these modifications and decorations should also be regarded as the protection scope of the present application.
Claims (10)
1. An optimized SEO page generation method is characterized by comprising the following steps:
obtaining a sample page from a search engine, wherein the sample page is a page indexed by the search engine and corresponding to a preset sequence;
determining a sample template, sample data variable and constant data corresponding to the sample page;
generating a revision page template according to the sample template and the initial template;
generating a revision data variable according to the sample data variable, and loading the revision data variable and the constant data into the revision page template to generate a plurality of revision pages;
inputting each revised page into a trained prediction model to obtain a click quantity prediction value corresponding to each revised page;
and determining at least one page from the plurality of revised pages as a test page according to the click rate predicted value, and outputting the test page.
2. The method of claim 1, wherein the sample data variables comprise: the system comprises sample keywords and a sample picture, wherein the revision data variables comprise revision keywords generated according to the sample keywords and a revision picture generated according to the sample picture.
3. The method of claim 2, wherein generating a revised keyword corresponding to the sample keyword from the sample keyword comprises: and generating a revision keyword corresponding to the sample keyword according to the sample keyword.
4. The method according to claim 2, wherein the manner of generating the revised picture corresponding to the sample picture according to the sample picture at least comprises the following manners: format conversion of pictures, resizing of pictures, compression of pictures, ALT tags of pictures, and naming of pictures.
5. The method of claim 1, wherein if the constant data is in a text format, the constant data is converted into a picture format.
6. The method of claim 5, wherein the manner of loading the constant data comprises:
preprocessing constant data in the form of pictures in a revised webpage, wherein the preprocessing comprises setting a display frame and dividing the revised keyword into character units according to the display frame;
creating a picture, generating a position pointer of a text unit in the picture, and filling the corresponding text unit into the picture according to the position pointer, wherein each picture corresponds to a calling position;
and if a page access request is received, loading the picture corresponding to the call position according to the call position, and displaying the text unit corresponding to the position pointer at the corresponding position in the page according to the position pointer.
7. The method of claim 1, after generating the trial page, further comprising: and acquiring the actual click quantity corresponding to the test page, inputting the actual click quantity into a prediction model, and updating the prediction model.
8. The utility model provides a SEO promotes self-defined page management device of dynamic generation which characterized in that includes:
the acquisition module is used for acquiring a sample page from a search engine, wherein the sample page is a page indexed by the search engine and corresponding to a preset sequence;
the first analysis module is used for determining a sample template, sample data variables and constant data corresponding to the sample page;
the template generating module generates a revision page template according to the sample template and the initial template;
the data generation module generates a revision data variable according to the sample data variable, and loads the revision data variable and the constant data into the revision page template to generate a plurality of revision pages;
the prediction module is used for inputting each revised page into a trained prediction model so as to obtain a click quantity prediction value corresponding to each revised page;
and the generating module determines at least one of the revision pages as a test page according to the click rate predicted value and outputs the test page.
9. An electronic device, comprising:
one or more processors;
a memory;
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: performing a method of optimizing SEO page generation as claimed in any of the claims 1-7.
10. A computer-readable storage medium, comprising: a computer program which can be loaded by a processor and which carries out the method for optimizing SEO page generation according to any of claims 1 to 7 is stored.
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| CN116166866A (en) * | 2023-01-06 | 2023-05-26 | 北京易思汇商务服务有限公司 | Method, device, terminal and storage medium for optimizing SEO (secure element operation) on SPA (application platform) application |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104281626A (en) * | 2013-07-12 | 2015-01-14 | 阿里巴巴集团控股有限公司 | Webpage display method and webpage display device based on picture processing |
| US20170300966A1 (en) * | 2013-12-26 | 2017-10-19 | Oracle America, Inc. | Methods and systems that predict future actions from instrumentation-generated events |
| CN107506402A (en) * | 2017-08-03 | 2017-12-22 | 北京百度网讯科技有限公司 | Sort method, device, equipment and the computer-readable recording medium of search result |
| CN108960917A (en) * | 2018-06-29 | 2018-12-07 | 深圳市跨境邦电子商务有限公司 | Network marketing promotion method and device |
| CN112434240A (en) * | 2020-12-18 | 2021-03-02 | 苏州工业园区晨光科技有限公司 | SEO intelligent optimization ranking and query algorithm |
-
2021
- 2021-05-19 CN CN202110543020.3A patent/CN113343137A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104281626A (en) * | 2013-07-12 | 2015-01-14 | 阿里巴巴集团控股有限公司 | Webpage display method and webpage display device based on picture processing |
| US20170300966A1 (en) * | 2013-12-26 | 2017-10-19 | Oracle America, Inc. | Methods and systems that predict future actions from instrumentation-generated events |
| CN107506402A (en) * | 2017-08-03 | 2017-12-22 | 北京百度网讯科技有限公司 | Sort method, device, equipment and the computer-readable recording medium of search result |
| CN108960917A (en) * | 2018-06-29 | 2018-12-07 | 深圳市跨境邦电子商务有限公司 | Network marketing promotion method and device |
| CN112434240A (en) * | 2020-12-18 | 2021-03-02 | 苏州工业园区晨光科技有限公司 | SEO intelligent optimization ranking and query algorithm |
Non-Patent Citations (1)
| Title |
|---|
| 赵英姿;: "AR模型在网站点击量预测中的应用与研究", 重庆邮电学院学报(自然科学版), no. 02, 30 April 2006 (2006-04-30), pages 268 - 272 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116166866A (en) * | 2023-01-06 | 2023-05-26 | 北京易思汇商务服务有限公司 | Method, device, terminal and storage medium for optimizing SEO (secure element operation) on SPA (application platform) application |
| CN116166866B (en) * | 2023-01-06 | 2023-11-21 | 北京易思汇商务服务有限公司 | Method, device, terminal and storage medium for optimizing SEO (secure element operation) on SPA (application platform) application |
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