WO2019033759A1

WO2019033759A1 - Financial product display method, device, apparatus and storage medium

Info

Publication number: WO2019033759A1
Application number: PCT/CN2018/080841
Authority: WO
Inventors: 伍朗
Original assignee: 平安科技（深圳）有限公司
Priority date: 2017-08-17
Filing date: 2018-03-28
Publication date: 2019-02-21
Also published as: CN107831963A

Abstract

The present invention relates to the field of screen display technology and discloses a financial product display method, a device, an apparatus and a storage medium. The financial product display method comprises: displaying multiple thumbnails of financial products on a screen of an information apparatus; controlling the multiple thumbnails to circulate on the screen of the information apparatus, and, upon reaching a specific area, enabling the same to circulate according to a preset state; and when one of the thumbnails in the specific area receives a selection signal, displaying product content in detail. The application enables multiple thumbnails of financial products to circulate on a screen of an information apparatus, such that a user can intuitively view the thumbnails of all of the financial products without operating the screen; when the user selects a thumbnail of a certain financial product on the screen, the user directly enters a detailed interface of the thumbnail, thereby reducing complicated operations for the user and enhancing user experience.

Description

Financial product display method, device, device and storage medium

This application is based on the Chinese Patent Application No. 201710704918.8, entitled "Finance Product Display Method, Apparatus, Equipment and Storage Medium", filed on August 17, 2017, and claims priority.

Technical field

The present application relates to the field of screen display technologies, and in particular, to a financial product display method, apparatus, device, and storage medium.

Background technique

At present, similar to Taobao.com and other product display websites, waterfall layout is now adopted. The layout of this product display is improved compared with the previous page flipping, which can reduce the user's operation of clicking the next page, but still The user is required to perform active operations, which is easy for the user to feel bored, and the overall layout of the page is also limited, and it is impossible to deliver more specific products to the user.

Summary of the invention

The purpose of the application is to provide a financial product display method, device, device and storage medium, which can realize the product on the screen without the user's active operation, and the delivered product is not limited by the page layout.

The application is implemented in this way. The first aspect of the present application provides a financial product display method, where the financial product display method includes:

Displaying multiple thumbnails of the financial product on the information device screen;

Controlling the plurality of thumbnails to circulate on the information device screen, and causing the plurality of thumbnails to flow according to a preset state when reaching a specific area;

When one of the thumbnails receives the selection signal within the specific area, the detailed content of the thumbnail is displayed.

A second aspect of the present application provides a financial product display device, where the financial product display device includes:

a thumbnail display module for displaying thumbnails of a plurality of financial products on the information device screen;

a control module, configured to control the plurality of thumbnails to circulate on the information device screen, and to cause the plurality of thumbnails to flow according to a preset state when reaching a specific area;

The selection signal receiving module is configured to display the detailed content of the thumbnail when one of the thumbnail images receives the selection signal in the specific area.

A third aspect of the present application provides a terminal device including a memory, a processor, and computer readable instructions stored in the memory and executable on the processor, the processor executing the computer readable instructions Implement the following steps:

A fourth aspect of the present application provides one or more non-transitory readable storage mediums storing computer readable instructions, the computer readable instructions being executed by one or more processors such that the one or more processes Perform the following steps:

Details of one or more embodiments of the present application are set forth in the accompanying drawings and description below. Other features and advantages of the present invention will be apparent from the description, drawings and claims.

DRAWINGS

In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the embodiments or the prior art description will be briefly described below. Obviously, the drawings in the following description are only the present application. For some embodiments, other drawings may be obtained from those of ordinary skill in the art without departing from the drawings.

1 is a flowchart of a method for displaying a financial product according to an embodiment of the present application;

2 is a specific flowchart provided by an implementation manner of step S10 in a method for displaying a financial product according to an embodiment of the present application;

FIG. 3 is a specific flowchart of step S101 in a method for displaying a financial product according to an embodiment of the present application;

4 is a specific flowchart provided by another implementation manner of step S10 in a method for displaying a financial product according to an embodiment of the present application;

FIG. 5 is a specific flowchart provided by another implementation manner of step S102 in a method for displaying a financial product according to an embodiment of the present disclosure;

6 is a schematic structural diagram of a financial product display device according to another embodiment of the present application;

FIG. 7 is a schematic diagram of a specific structure provided by an embodiment of a thumbnail display module in a financial product display device according to another embodiment of the present application;

FIG. 8 is a schematic diagram of a specific structure provided by another embodiment of a thumbnail display module in a financial product display device according to another embodiment of the present application;

FIG. 9 is a schematic diagram of a specific structure provided by an implementation manner of a product information generating module in a financial product display device according to another embodiment of the present application;

FIG. 10 is a schematic structural diagram of a terminal device according to another embodiment of the present application.

Detailed ways

In order to make the objects, technical solutions and advantages of the present application more comprehensible, the present application will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the application and are not intended to be limiting.

In order to explain the technical solutions of the present application, the following description will be made by way of specific embodiments.

The embodiment of the present application provides a financial product display method. As shown in FIG. 1 , the financial product display method includes:

Step S10. Display multiple thumbnails of the financial product on the information device screen.

In step S10, the information device may be a smart terminal having a touch display screen, a data processing function, and a communication function, such as a mobile phone, an IPAD, or a computer; the thumbnail refers to a thumbnail that can reflect the content of the financial product, and the thumbnail may be included The keyword of the financial product information may also be a thumbnail of an image formed by the information of the financial product. For example, for a stock that the user pays attention to, the thumbnail may include the code, name, company trademark, and current number of the stock. Wait.

In step S10, generating thumbnails of the plurality of financial products may be generated according to a user command, for example, the user selects a plurality of financial products on the application store website, and according to the user's selection, generates the selected ones on the information device screen. A thumbnail of a financial product; a thumbnail for generating a plurality of financial products may also be a financial product that is pushed to the user after being analyzed by the big data platform, for example, based on the historical behavior data of the user, the user actively pushes the user and displays it on the user. Information device on the screen.

Step S20. Controlling a plurality of thumbnails to circulate on the information device screen, and causing the plurality of thumbnails to flow in a preset state when reaching the specific area.

In step S20, controlling the plurality of thumbnails of the financial product to circulate on the information device screen means that the thumbnails of the plurality of financial products are controlled to enter the screen first, move in a certain direction on the screen, and then leave the screen and recirculate. screen.

In step S20, the specific area refers to an area preset on the screen, and the area may be set according to the needs of the user, for example, may be an intermediate position of the entire screen, which is convenient for the user to view, as an implementation manner, the specific area For the display box, the display box enters the state to be dragged in advance when receiving the selected instruction of the user. For example, the selected instruction may be a double-click instruction, and when the display frame receives the user's drag instruction, according to the user-specified drag The location movement, for example, when the display frame is in the middle position, the user is holding the mobile terminal at this time, and the display frame can be selected at this time, and the display frame is dragged to the edge position, which is convenient for the user to select the financial in the display frame with one hand. Product icon.

In step S20, the thumbnails of the plurality of financial products are converted into the preset state for the flow to mean that the thumbnails of the plurality of financial products can flow on the screen at different speeds and display states, for example, when the outside of the specific area is a speed motion, when moving into a specific area, moving at a second speed, the second speed may be smaller than the first speed, so that the user can make a selection, and of course, when entering a certain area, the movement can also be performed according to the changing speed, for example, gradually Slow down and so on.

Step S30. When the thumbnail of one of the products receives the selection signal in a specific area, the detailed content of the product is displayed.

In step S30, when the thumbnail of one of the products receives the selection signal in the specific area, the detailed interface of the product is entered, and the selection signal is a signal of the selected product thumbnail, for example, the user clicks the product thumbnail The product is selected.

The embodiment of the present application provides a financial product display method, displaying thumbnails of the generated plurality of financial products on the information device screen, and circulating thumbnails of the plurality of financial products on the information device screen, so that the user is on the screen You can visually see thumbnails of all financial products without any operation. When the user selects a thumbnail of a financial product on the screen, he can enter the detailed interface of the financial product, which reduces the cumbersome operation of the user and improves the user experience. .

For the step S10 in the above embodiment, as an embodiment, as shown in FIG. 2, displaying thumbnails of a plurality of products on the information device screen includes:

Step S101. Generate product information based on the big data platform.

In step S101, the data information on the big data platform is statistically summarized to obtain product information. As an implementation manner, as shown in FIG. 3, step S101 includes:

Step S1011: Obtain user behavior data obtained after statistical analysis by the big data platform.

Step S1012: Calculate a product suitable for recommendation to the user according to the obtained user behavior data and a preset recommendation algorithm.

In step S1011 and step S1012, the user behavior data obtained by the big data platform for statistical analysis is acquired, and the inductive and mining processes are performed to obtain potential value information and user requirements, and then the data is processed according to the processed data. Processing, such as analyzing user behavior habits, etc., the big data platform mainly extracts the user's clicked product content data to analyze the user's preference for the product content, and according to the obtained user behavior data and the preset recommendation algorithm, the calculation is suitable for recommendation. The product recommendation set of the user; the recommendation algorithm involved in the embodiment of the present application mainly includes: (1) a content-based recommendation algorithm, recommending a recommendation item that the user has not touched according to the user's past browsing record; (2) a collaborative filtering algorithm, In the massive data, a small number of users with similar user selections are mined, and the products that these users frequently click on are recommended through collaborative filtering.

A user-based collaborative filtering algorithm, which analyzes a set of content that the user has a common preference for a certain content, and performs collaborative calculation of a content set that may be of interest to the user according to the viewing behavior data between the users. . For example, both A users and B users like to watch funds. If A users like to watch stock products, they think that B users are also interested in stocks.

The content-based collaborative algorithm refers to the system analyzing the behavior data of a certain user, and calculating the content set that the user may be interested according to the similarity between the contents. For example, A users like to watch funds. If the similarity between funds and stocks is high, then A users are also interested in stocks.

Selecting a product that meets the preset product condition from the filtered product collection, the preset product condition may be the condition that the user uses the most or the user evaluation score is the highest.

As an implementation manner of the collaborative filtering algorithm, the present application establishes a neural network model for simulation, and then obtains a product recommended to the user.

Naive Bayes predicts by learning p(y|x) and p(y) by converting Bayesian formula to p(x|y):

p(θ|D)=p(D|θ)p(θ)p(D)∝L(θ|D)P(θ)

among them:

Where θ is the parameter and D is the data D={(x(1), y(1)),...,(x(n),y(n))}

Where Ω is the parameter space;

Where H is the hypothesis set.

Neural Networks:

Where yj is the output of the i-th layer of neurons and neti is the input of the next layer of neuron units.

The conversion function for each layer is:

y i=f(net i)=1 1+e-net i

Yc=f(xc)+ε(xc)

Where ε(xc) is Gaussian noise.

This application uses the Bayesian evolution method of neural tree, the steps are as follows:

(1) initial generation A(0) according to prior distribution initialization;

(2) Estimate the likelihood of each individual in the group. In the g-generation, deviation

Used to calculate the likelihood of each individual.

(3) Calculate the posterior distribution of Ai and update the model with the following formula.

(4) Sampling the next generation population A'(g) using the following formula

For the model of the neural network tree, D is the data.

(5) Calculate the acceptance probability according to the following formula, select λ individuals from A'(g) into the next generation

Pa(Ai, Ai')=min{1, P(Ai|D)/P(Ai|D)}

(6) If the termination condition is satisfied, the best model AMAP is returned, along with the posterior probability P(AMAP|D). Otherwise update the a priori value with the current distribution for the next iteration.

This application utilizes a quantitative investment model to filter investment products and implements appropriate product recommendations to users.

Step S102. Extract keywords in the product information.

In step S102, after acquiring the product that meets the preset condition, the keyword is extracted according to the type and content of the product. For example, when the user is interested in the fund or the stock based on the big data analysis, the stock website or stock suitable for the user is selected. The software, for example, extracts the keyword 123 stock website or 456 stock software.

Step S103. Generate a thumbnail of the product based on the keyword and display it on the information device screen.

In step S103, a thumbnail is generated based on the keyword generated in step S102, that is, the thumbnail is an icon including a keyword of product information.

In this embodiment, user behavior data obtained after statistical analysis of big data is analyzed, user behavior data is analyzed to push a suitable product to the user, and information of the product is extracted to obtain keywords, and corresponding icons are formed. When the user sees the icon containing the keyword, the content of the product can be understood, which brings convenience to the user, and the database of the entire product content can be docked behind the pipelined layout, and the product portfolio to be flowed through the user screen is dynamically generated. Therefore, based on the big data results, different types of products that the user may be interested in can be displayed, thereby breaking the limitation of the page layout.

For the step S101 in the above embodiment, as an embodiment, as shown in FIG. 4, generating thumbnails of the plurality of products includes:

Step S104. Generate product information based on the big data platform.

This step is the same as that of step S101. For details, refer to the related description of step S101, and details are not described herein again.

Step S105. Generate a product page image according to the product information.

In step S105, the content in the product is converted into an image based on the product information, for example, when the product is a fund website, the web page of the fund website is converted into a page image.

Step S106. Generate a thumbnail according to the product page image and display it on the information device screen.

In step S106, an image of a product page is obtained, and a size of a long side is specified for each thumbnail image having a different size. When the long side size of the image of the product page is larger than a specified size, the image of the product page is created, thereby The thumbnail image of the specified long-side size shrinks the short side of the image of the product page according to the ratio of the long side, and finally obtains the product thumbnail. The thumbnail of the product can be multiple images, and one of the images constitutes the product. The icon, in an icon composed of a plurality of product images, is replaced at a preset interval, and when it passes through the predetermined area, the user can roughly understand the content of the image by zooming in.

In this embodiment, user behavior data obtained after statistical analysis of big data is analyzed, user behavior data is analyzed to push a suitable product to the user, and multiple thumbnails are generated according to the page image of the product, and corresponding icons are formed. Transforming the thumbnail allows the user to see the thumbnail of the product information to understand the content of the product, which brings convenience to the user.

For the step S102 in the above embodiment, as an embodiment, as shown in FIG. 5, the thumbnails of the plurality of products are converted into a preset state when the specific area is reached, and the flow includes:

Step S1021. During the flow from the entry into the specific area to the intermediate position of the specific area, the flow speeds of the plurality of thumbnail images are gradually reduced and the shape is gradually increased.

In step S1021, in order to facilitate the user to click on the thumbnail of the product from the time of entering the specific area and moving to the middle position of the specific area, the flow speed of controlling the thumbnails of the plurality of products is gradually reduced, in order to facilitate the user to view the product. The thumbnail of the thumbnail is gradually increased during the process of gradually decreasing the flow speed of the thumbnail. Further, at this time, the thumbnail located in the specific area is detected, and when the detected product thumbnail in the specific area is detected For one time, the thumbnail of the product can be enlarged to the entire specific area.

Step S1022. In the process of flowing from the intermediate position of the specific area to leaving the specific area, the flow speed of the thumbnails of the plurality of products is gradually increased and the shape is gradually reduced.

In step S1021, from the middle of the specific area to the departure of the specific area, it can be considered that the user does not want to select the thumbnail, and the thumbnail speed is controlled to gradually increase to quickly leave the specific area.

It should be noted that when detecting a thumbnail of a product from the start of entering a specific area to the intermediate position of a specific area and from the intermediate position of the specific area to leaving the specific area, the period is full when the control thumbnail is gradually enlarged. A specific area starts to the middle of a specific area.

In the present embodiment, by detecting the number of thumbnails of products in a specific area, the enlarged shape is adjusted according to the number of thumbnails of the product, so that the user can learn more about the contents of the thumbnails in a specific area, thereby facilitating the user to make a selection.

Another embodiment of the present application provides a financial product display device 40. As shown in FIG. 6, the financial product display device 40 includes:

a thumbnail display module 401, configured to display multiple thumbnails of the financial product on the information device screen;

The control module 402 is configured to control a plurality of thumbnails to circulate on the information device screen, and to cause the plurality of thumbnails to flow according to a preset state when the specific area is reached;

The selection signal receiving module 403 is configured to display the detailed content of the product when one of the thumbnail images receives the selection signal in the specific area.

Further, as shown in FIG. 7, as an implementation manner, the thumbnail display module 401 includes:

a product information generating module 410, configured to generate product information based on the big data platform;

a keyword extraction module 420, configured to extract keywords in product information;

The thumbnail generation module 430 is configured to generate a thumbnail according to the keyword and display it on the information device screen.

Alternatively, as shown in FIG. 8, as another implementation manner, the thumbnail display module 401 includes:

a product information generating module 440, configured to generate product information based on the big data platform;

a page image generating module 450, configured to generate a product page image according to product information;

The thumbnail generation module 430 is configured to generate a thumbnail according to the product page image and display it on the information device screen.

Further, as shown in FIG. 9, the product information generating module 401 includes:

The behavior data obtaining module 411 is configured to obtain user behavior data obtained by performing statistical analysis on the big data platform;

The product recommendation module 422 is configured to calculate a product suitable for recommendation to the user according to the obtained user behavior data and a preset recommendation algorithm.

Further, the control module 402 controls, when a plurality of financial products reach a specific area, the plurality of financial products are configured to flow according to a preset state, and specifically includes:

The flow velocity of the plurality of thumbnail images gradually becomes smaller and the shape gradually becomes larger as it flows from the entry into the specific region to the intermediate position of the specific region;

In the process of flowing from the intermediate position of the specific area to leaving the specific area, the flow speeds of the plurality of thumbnail images gradually become larger and the shape gradually becomes smaller.

For the specific working process of the module in the foregoing terminal device, reference may be made to the corresponding process in the foregoing method embodiment, and details are not described herein again.

Another embodiment of the present application provides one or more non-volatile readable storage media storing computer readable instructions, the one or more non-volatile readable storage media storing computer readable instructions, a computer When the readable instructions are executed by one or more processors, one or more processors are executed to perform the financial product display method in the above embodiments. To avoid repetition, details are not described herein again. Alternatively, the functions of the modules/units in the financial product display device in the above embodiments are implemented when the computer readable instructions are executed by the processor. To avoid repetition, details are not described herein again.

It will be understood that one or more non-volatile readable storage media storing computer readable instructions may comprise: any entity or device capable of carrying the computer readable instructions, a recording medium, a USB flash drive, a mobile hard drive, a magnetic Discs, optical discs, computer memories, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier signals, and telecommunications signals.

FIG. 10 is a schematic diagram of a terminal device in this embodiment. As shown in FIG. 10, the terminal device 6 includes a processor 60, a memory 61, and computer readable instructions 62 stored in the memory 61 and operable on the processor 60. The processor 60 executes the computer readable instructions 62 to implement the various steps of the financial product display method of the above-described embodiments, such as steps S10, S20, and S30 shown in FIG. Alternatively, when the processor 60 executes the computer readable instructions 62, the functions of the modules/units of the financial product display device in the above embodiments are implemented, such as the functions of the thumbnail display module 401, the control module 402, and the selection signal receiving module 403 shown in FIG. .

It will be apparent to those skilled in the art that, for convenience and brevity of description, only the division of each functional unit and module described above is exemplified. In practical applications, the above functions may be assigned to different functional units as needed. The module is completed, dividing the internal structure of the device into different functional units or modules to perform all or part of the functions described above.

The above-mentioned embodiments are only used to explain the technical solutions of the present application, and are not limited thereto; although the present application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that they can still implement the foregoing embodiments. The technical solutions described in the examples are modified or equivalently replaced with some of the technical features; and the modifications or substitutions do not deviate from the spirit and scope of the technical solutions of the embodiments of the present application, and should be included in Within the scope of protection of this application.

Claims

A financial product display method, characterized in that the financial product display method comprises:

Displaying multiple thumbnails of the financial product on the information device screen;

Controlling the plurality of thumbnails to circulate on the information device screen, and causing the plurality of thumbnails to flow according to a preset state when reaching a specific area;

When one of the thumbnails receives the selection signal within the specific area, the detailed content of the thumbnail is displayed.
The financial product display method according to claim 1, wherein displaying a plurality of thumbnails of the financial product on the information device screen comprises:

Generate product information based on a big data platform;

Extracting keywords in the product information;

A thumbnail is generated based on the keyword and displayed on the information device screen.
The financial product display method according to claim 1, wherein displaying a plurality of thumbnails of the financial product on the information device screen comprises:

Generate product information based on a big data platform;

Generate a product page image based on product information;

A thumbnail is generated from the product page image and displayed on the information device screen.
The financial product display method according to claim 2 or 3, wherein the generating product information based on the big data platform comprises:

Obtain user behavior data obtained after statistical analysis of the big data platform;

The product suitable for recommendation to the user is calculated according to the obtained user behavior data and a preset recommendation algorithm.
The financial product display method according to claim 1, wherein the plurality of thumbnails are caused to flow according to a preset state when the specific area is reached, including:

In the process of flowing into the intermediate position of the specific area from the entry into the specific area, the flow speed of the plurality of thumbnail images is gradually reduced and the shape is gradually increased;

In the process of flowing from the intermediate position of the specific region to leaving the specific region, the flow speed of the plurality of thumbnail images is gradually increased and the shape is gradually reduced.
A financial product display device, wherein the financial product display device comprises:

a thumbnail display module for displaying a plurality of thumbnails of the financial product on the information device screen;

a control module, configured to control the plurality of thumbnails to circulate on the information device screen, and to cause the plurality of thumbnails to flow according to a preset state when reaching a specific area;

The selection signal receiving module is configured to display the detailed content of the product when one of the thumbnail images receives the selection signal in the specific area.
The financial product display device according to claim 6, wherein the thumbnail display module comprises:

a product information generating module for generating product information based on a big data platform;

a keyword extraction module, configured to extract keywords in product information;

And a thumbnail generating module, configured to generate a thumbnail according to the keyword and display the image on the information device screen.
The financial product display device according to claim 6, wherein the thumbnail display module comprises:

a product information generating module for generating product information based on a big data platform;

a page image generating module, configured to generate a product page image according to product information;

And a thumbnail generating module, configured to generate a thumbnail according to the product page image and display the screen on the information device.
The financial product display device according to claim 6 or 7, wherein the product information generating module comprises:

The behavior data acquisition module is configured to obtain user behavior data obtained after statistical analysis by the big data platform;

The product recommendation module is configured to calculate, according to the obtained user behavior data and a preset recommendation algorithm, a product suitable for recommendation to the user.
The financial product display device according to claim 6, wherein the control module is specifically configured to:

In the process of flowing into the intermediate position of the specific area from the entry into the specific area, the flow speed of the plurality of thumbnail images is gradually reduced and the shape is gradually increased;

In the process of flowing from the intermediate position of the specific region to leaving the specific region, the flow speed of the plurality of thumbnail images is gradually increased and the shape is gradually reduced.
A terminal device comprising a memory, a processor, and computer readable instructions stored in the memory and operable on the processor, wherein the processor executes the computer readable instructions as follows step:

Displaying multiple thumbnails of the financial product on the information device screen;

Controlling the plurality of thumbnails to circulate on the information device screen, and causing the plurality of thumbnails to flow according to a preset state when reaching a specific area;

When one of the thumbnails receives the selection signal within the specific area, the detailed content of the thumbnail is displayed.
The terminal device according to claim 11, wherein displaying a plurality of thumbnails of the financial product on the information device screen comprises:

Generate product information based on a big data platform;

Extracting keywords in the product information;

A thumbnail is generated based on the keyword and displayed on the information device screen.
The terminal device according to claim 11, wherein displaying a plurality of thumbnails of the financial product on the information device screen comprises:

Generate product information based on a big data platform;

Generate a product page image based on product information;

A thumbnail is generated from the product page image and displayed on the information device screen.
The terminal device according to claim 12 or 13, wherein the generating product information based on the big data platform comprises:

Obtain user behavior data obtained after statistical analysis of the big data platform;

The product suitable for recommendation to the user is calculated according to the obtained user behavior data and a preset recommendation algorithm.
The terminal device according to claim 11, wherein the plurality of thumbnails are caused to flow according to a preset state when the specific area is reached, including:

The flow velocity of the plurality of thumbnail images gradually becomes smaller and the shape gradually becomes larger during the flow from the entry into the specific region to the intermediate position of the specific region;

In the process of flowing from the intermediate position of the specific region to leaving the specific region, the flow speeds of the plurality of thumbnail images gradually become larger and the shape gradually becomes smaller.
One or more non-transitory readable storage mediums storing computer readable instructions, wherein when the computer readable instructions are executed by one or more processors, cause the one or more processors to execute The following steps:

Displaying multiple thumbnails of the financial product on the information device screen;

Controlling the plurality of thumbnails to circulate on the information device screen, and causing the plurality of thumbnails to flow according to a preset state when reaching a specific area;

When one of the thumbnails receives the selection signal within the specific area, the detailed content of the thumbnail is displayed.
The non-volatile readable storage medium of claim 16, wherein displaying the plurality of thumbnails of the financial product on the information device screen comprises:

Generate product information based on a big data platform;

Extracting keywords in the product information;

A thumbnail is generated based on the keyword and displayed on the information device screen.
The non-volatile readable storage medium of claim 16, wherein displaying the plurality of thumbnails of the financial product on the information device screen comprises:

Generate product information based on a big data platform;

Generate a product page image based on product information;

A thumbnail is generated from the product page image and displayed on the information device screen.
The non-volatile readable storage medium according to claim 17 or 18, wherein the generating the product information based on the big data platform comprises:

Obtain user behavior data obtained after statistical analysis of the big data platform;

The product suitable for recommendation to the user is calculated according to the obtained user behavior data and a preset recommendation algorithm.
The non-volatile readable storage medium according to claim 16, wherein the plurality of thumbnails are caused to flow in a preset state when the specific area is reached, including:

The flow velocity of the plurality of thumbnail images gradually becomes smaller and the shape gradually becomes larger during the flow from the entry into the specific region to the intermediate position of the specific region;

In the process of flowing from the intermediate position of the specific region to leaving the specific region, the flow speeds of the plurality of thumbnail images gradually become larger and the shape gradually becomes smaller.