Dynamic display processing method and device, equipment and storage medium

Abstract

The embodiment of the invention provides a dynamic display processing method and device, equipment and a storage medium, and the method comprises the steps: obtaining behavior data of a user in a historical time period, obtaining first system weights corresponding to a plurality of function interfaces and second system weights corresponding to a plurality of pieces of statistical data, and according to the behavior data, the first system weight and the second system weight, determining at least one target function interface from the plurality of function interfaces, determining at least one target statistical data from the plurality of statistical data, and displaying the at least one target function interface and the at least one target statistical data on the display interface. According to the method, the interaction efficiency of the system is improved.

Description

Technical Field

[0001] The present application belongs to the technical field of data processing, and specifically relates to a dynamic display processing method, device, equipment and storage medium. Background Art

[0002] At present, business processing systems can be used to process business information in enterprises, and business processing systems can integrate multiple business categories. For example, business processing systems used in the financial field can include credit management, loan assistance, auto finance, loan guarantee insurance and other business categories.

[0003] The huge business processing system includes multiple business categories, and under each business category there are multiple subdivided business modules, and under each business module there are multiple functional interfaces and / or statistical data. For example, if a user wants to access a certain functional interface, the user needs to first click on the control of the business category corresponding to the functional interface on the first-level display interface corresponding to the business processing system, and the second-level display interface corresponding to the business category is displayed. The second-level display interface displays controls corresponding to multiple business modules. The user clicks on the control corresponding to the business module corresponding to the functional interface on the second-level display interface, and the third-level display interface corresponding to the business module is displayed. The third-level display interface displays multiple functional interfaces, and the user clicks on the functional interface to access the functional interface.

[0004] In the above case, if there are multiple businesses in the business processing system, the user needs to perform multi-layer interactions to access the target business, resulting in low interaction efficiency of the system. Summary of the invention

[0005] The embodiments of the present application relate to a dynamic display processing method, device, equipment and storage medium, which are used to solve the defect in the prior art that if there are multiple businesses in the business processing system, the user needs to perform multiple layers of interaction to access the target business, resulting in low interaction efficiency of the system.

[0006] In a first aspect, an embodiment of the present application provides a dynamic display processing method, which is applied to a business processing system, wherein the business processing system is configured with a display interface, and the business processing system includes multiple functional interfaces and multiple statistical data, and the method includes:

[0007] Obtain user behavior data over a historical period;

[0008] Obtaining first system weights corresponding to the plurality of functional interfaces and second system weights corresponding to the plurality of statistical data;

[0009] determining at least one target functional interface from the plurality of functional interfaces and at least one target statistical data from the plurality of statistical data based on the behavior data, the first system weight, and the second system weight;

[0010] The at least one target function interface and the at least one target statistical data are displayed on the display interface.

[0011] In a possible implementation, determining at least one target functional interface from the multiple functional interfaces according to the behavior data, the first system weight, and the second system weight, and determining at least one target statistical data from the multiple statistical data include:

[0012] Determine, according to the behavior data, first click weights and first browsing weights corresponding to the multiple functional interfaces respectively;

[0013] Determining at least one target functional interface from the plurality of functional interfaces according to the plurality of first click weights, the plurality of first browsing weights and the first system weight;

[0014] Determine, according to the behavior data, second click weights and second browsing weights corresponding to the plurality of statistical data respectively;

[0015] At least one target statistical data is determined from the plurality of statistical data based on the plurality of second click weights, the plurality of second browsing weights, and the second system weights.

[0016] In a possible implementation, determining at least one target functional interface from the plurality of functional interfaces according to the plurality of first click weights, the plurality of first browsing weights, and the first system weight includes:

[0017] For any functional interface, determine a first click weight, a first browsing weight, and a first system weight corresponding to the functional interface;

[0018] Adding a first click weight, a first browsing weight, and a first system weight corresponding to the functional interface to determine a first total weight corresponding to the functional interface;

[0019] Among the plurality of functional interfaces, at least one target functional interface whose first total weight is greater than or equal to a first threshold is determined.

[0020] In a possible implementation, determining at least one target statistical data from the plurality of statistical data according to the plurality of second click weights, the plurality of second browsing weights, and the second system weights includes:

[0021] For any statistical data, determining a second click weight, a second browsing weight, and a second system weight corresponding to the statistical data;

[0022] Adding the second click weight, the second browsing weight and the second system weight corresponding to the statistical data to determine a second total weight corresponding to the statistical data;

[0023] Among the plurality of statistical data, at least one target statistical data having a second total weight greater than or equal to a second threshold is determined.

[0024] In a possible implementation, determining first click weights and first browsing weights respectively corresponding to the plurality of functional interfaces according to the behavior data includes:

[0025] Determine, according to the behavior data, the first number of clicks and the first browsing durations respectively corresponding to the multiple functional interfaces, and the total number of first clicks and the total first browsing durations corresponding to the multiple functional interfaces;

[0026] According to multiple first click numbers, multiple first browsing durations, the first total number of clicks and the first total browsing duration, the first click weights and the first browsing weights respectively corresponding to the multiple function interfaces are determined.

[0027] In a possible implementation, determining, according to the behavior data, second click weights and second browsing weights respectively corresponding to the plurality of statistical data includes:

[0028] Determine, based on the behavior data, the second number of clicks and the second browsing duration respectively corresponding to the plurality of statistical data, and the second total number of clicks and the second total browsing duration corresponding to the plurality of statistical data;

[0029] According to multiple second click numbers, multiple second browsing durations, the second total number of clicks and the second total browsing duration, the second click weights and the second browsing weights respectively corresponding to the multiple statistical data are determined.

[0030] In a possible implementation, the method further includes:

[0031] Obtaining the at least one to-do task;

[0032] Determining the importance of each of the at least one to-do task;

[0033] At least one to-do task is displayed in sequence on the display interface in descending order of importance.

[0034] In a second aspect, an embodiment of the present application provides a dynamic display processing device, which is applied to a business processing system, wherein the business processing system is configured with a display interface, wherein the business processing system includes multiple functional interfaces and multiple statistical data, and wherein the device includes:

[0035] The first acquisition module is used to acquire the user's behavior data in a historical period;

[0036] A second acquisition module, used to acquire first system weights respectively corresponding to the plurality of functional interfaces and second system weights respectively corresponding to the plurality of statistical data;

[0037] a determination module, configured to determine at least one target functional interface from the plurality of functional interfaces and at least one target statistical data from the plurality of statistical data according to the behavior data, the first system weight and the second system weight;

[0038] The display module is used to display the at least one target function interface and the at least one target statistical data on the display interface.

[0039] In a possible implementation manner, the determination module is specifically configured to:

[0040] Determine, according to the behavior data, first click weights and first browsing weights corresponding to the multiple functional interfaces respectively;

[0041] Determining at least one target functional interface from the plurality of functional interfaces according to the plurality of first click weights, the plurality of first browsing weights and the first system weight;

[0042] Determine, according to the behavior data, second click weights and second browsing weights corresponding to the plurality of statistical data respectively;

[0043] At least one target statistical data is determined from the plurality of statistical data based on the plurality of second click weights, the plurality of second browsing weights, and the second system weights.

[0044] In a possible implementation manner, the determination module is specifically configured to:

[0045] For any functional interface, determine a first click weight, a first browsing weight, and a first system weight corresponding to the functional interface;

[0046] Adding a first click weight, a first browsing weight, and a first system weight corresponding to the functional interface to determine a first total weight corresponding to the functional interface;

[0047] Among the plurality of functional interfaces, at least one target functional interface whose first total weight is greater than or equal to a first threshold is determined.

[0048] In a possible implementation manner, the determination module is specifically configured to:

[0049] For any statistical data, determining a second click weight, a second browsing weight, and a second system weight corresponding to the statistical data;

[0050] Adding the second click weight, the second browsing weight and the second system weight corresponding to the statistical data to determine a second total weight corresponding to the statistical data;

[0051] Among the plurality of statistical data, at least one target statistical data having a second total weight greater than or equal to a second threshold is determined.

[0052] In a possible implementation manner, the determination module is specifically configured to:

[0053] Determine, according to the behavior data, the first number of clicks and the first browsing durations respectively corresponding to the multiple functional interfaces, and the total number of first clicks and the total first browsing durations corresponding to the multiple functional interfaces;

[0054] According to multiple first click numbers, multiple first browsing durations, the first total number of clicks and the first total browsing duration, the first click weights and the first browsing weights respectively corresponding to the multiple function interfaces are determined.

[0055] In a possible implementation manner, the determination module is specifically configured to:

[0056] Determine, based on the behavior data, the second number of clicks and the second browsing duration respectively corresponding to the plurality of statistical data, and the second total number of clicks and the second total browsing duration corresponding to the plurality of statistical data;

[0057] According to multiple second click numbers, multiple second browsing durations, the second total number of clicks and the second total browsing duration, the second click weights and the second browsing weights respectively corresponding to the multiple statistical data are determined.

[0058] In a possible implementation manner, the display module is further used for:

[0059] Obtaining the at least one to-do task;

[0060] Determining the importance of each of the at least one to-do task;

[0061] At least one to-do task is displayed in sequence on the display interface in descending order of importance.

[0062] In a third aspect, the present application provides a chip having a computer program stored thereon, wherein when the computer program is executed by the chip, the dynamic display processing method as described in any one of the first aspects is implemented.

[0063] In a fourth aspect, the present application provides a chip module having a computer program stored thereon, and when the computer program is executed by the chip module, the dynamic display processing method as described in any one of the first aspects is implemented.

[0064] In a fifth aspect, an embodiment of the present application provides an electronic device, including: a memory, a processor, and a transceiver;

[0065] The memory stores computer-executable instructions;

[0066] The processor executes the computer-executable instructions stored in the memory to implement the dynamic display processing method as described in any one of the first aspects.

[0067] In a sixth aspect, an embodiment of the present application provides a computer-readable storage medium, wherein the computer-readable storage medium stores computer execution instructions, which, when executed by a processor, are used to implement the dynamic display processing method described in any one of the first aspects.

[0068] In a seventh aspect, an embodiment of the present application provides a computer program product, including a computer program, which, when executed by a processor, implements the dynamic display processing method described in any one of the first aspects.

[0069] The embodiment of the present application provides a dynamic display processing method, device, equipment and storage medium, in which the method obtains the user's behavior data in the historical period, obtains the first system weights corresponding to multiple function interfaces and the second system weights corresponding to multiple statistical data, and determines at least one target function interface from the multiple function interfaces and at least one target statistical data from the multiple statistical data based on the behavior data, the first system weight and the second system weight, and displays at least one target function interface and at least one target statistical data on the display interface. In this way, the target function interface and target statistical data frequently accessed by the user can be directly displayed on the display interface based on the user's behavior data in the historical period, and the user can directly access or view them, thereby improving the interaction efficiency of the system. BRIEF DESCRIPTION OF THE DRAWINGS

[0070] In order to more clearly illustrate the technical solutions in the present application, a brief introduction will be given below to the drawings required for use in the description of the embodiments. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0071] Figure 1 A schematic diagram of an application scenario provided for an embodiment of the present application;

[0072] Figure 2 A schematic diagram of a process flow of a dynamic display processing method provided in an embodiment of the present application;

[0073] Figure 3A flowchart of another dynamic display processing method provided in an embodiment of the present application;

[0074] Figure 4 A schematic diagram of the structure of a dynamic display processing device provided in an embodiment of the present application;

[0075] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application.

[0076] The above drawings have shown clear embodiments of the present application, which will be described in more detail later. These drawings and text descriptions are not intended to limit the scope of the present application in any way, but to illustrate the concept of the present application to those skilled in the art by referring to specific embodiments. DETAILED DESCRIPTION

[0077] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0078] It should be noted that, although the terms "first", "second", etc. are used to describe various information in the embodiments of the present application, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. Optionally, without departing from the scope of the present application, the first information may also be referred to as the second information, and similarly, the second information may also be referred to as the first information.

[0079] It should be understood that the terms "comprises" and "includes" indicate the presence of the previously mentioned features, steps, operations, but do not exclude the presence, occurrence or addition of one or at least one other feature, step, operation. The terms "and / or" and the like used in this application may be interpreted as inclusive, or mean any one or any combination. Optionally, "A and / or B" means "any of the following: A; B; A and B". In addition, the character " / " in this article generally indicates that the objects associated before and after are in an "or" relationship.

[0080] In related technologies, a business processing system can be used to process business information in an enterprise, and a business processing system can integrate multiple business categories. For example, a business processing system applied in the financial field can include credit management, loan assistance, auto finance, loan guarantee insurance and other business categories.

[0081] The huge business processing system includes multiple business categories, and under each business category there are multiple subdivided business modules, and under each business module there are multiple functional interfaces and / or statistical data. For example, if a user wants to access a certain functional interface, the user needs to first click on the control of the business category corresponding to the functional interface on the first-level display interface corresponding to the business processing system, and the second-level display interface corresponding to the business category is displayed. The second-level display interface displays controls corresponding to multiple business modules. The user clicks on the control corresponding to the business module corresponding to the functional interface on the second-level display interface, and the third-level display interface corresponding to the business module is displayed. The third-level display interface displays multiple functional interfaces, and the user clicks on the functional interface to access the functional interface.

[0082] In the above case, if there are multiple businesses in the business processing system, the user needs to perform multi-layer interactions to access the target business, resulting in low interaction efficiency of the system.

[0083] In order to solve the above technical problems, the embodiment of the present application provides a dynamic display processing method, which obtains the user's behavior data in the historical period and the system weight corresponding to each target business, determines at least one target business among multiple businesses according to the behavior data and the system weight, and displays at least one target business on the display interface. In this way, the target function interface and target statistical data that the user frequently accesses can be directly displayed on the display interface according to the user's behavior data in the historical period, and the user can directly access or view them, thereby improving the interaction efficiency of the system.

[0084] Next, combine Figure 1 , an example is given to illustrate the display interface of this application.

[0085] Figure 1 This is a schematic diagram of an application scenario provided by the embodiment of this application. Figure 1 , Figure 1 A display interface may be included, and the display interface may include a fixed display area and a dynamic display area.

[0086] The fixed display area may include display controls corresponding to a variety of business categories.

[0087] The display control corresponding to each business category may also include at least one layer of display interface.

[0088] For example, if the user clicks on a certain display control, a secondary display interface corresponding to the business category may be displayed, and controls corresponding to multiple business modules may be displayed on the secondary display interface.

[0089] The dynamic display area may include a functional interface dynamic display sub-area, a statistical data dynamic display sub-area, and a to-do task dynamic display sub-area.

[0090] The function interface dynamic display sub-area may be used to dynamically display at least one target function interface.

[0091] The statistical data dynamic display sub-area may be used to dynamically display at least one target statistical data.

[0092] The to-do tasks dynamic display sub-area can be used to dynamically display to-do tasks.

[0093] The technical solution shown in the present application is described in detail below through specific embodiments. It should be noted that the following embodiments can exist independently or in combination with each other, and the same or similar contents will not be described repeatedly in different embodiments.

[0094] Figure 2 A flowchart of a dynamic display processing method provided by an embodiment of the present application. The execution subject of the embodiment of the present application can be a business processing system, the business processing system is configured with a display interface, and the business processing system includes multiple functional interfaces and multiple statistical data. Figure 2 , the method comprising:

[0095] S201. Obtaining user behavior data in a historical period.

[0096] The historical period can be a specific period of time before the current moment.

[0097] For example, the historical period can be the past day or the past week, and there is no limitation here.

[0098] Behavioral data may refer to the various activity information generated by users in the process of interacting with the business processing system.

[0099] Behavioral data can be used to reflect users’ operating habits, preferences, decision-making processes, and behavioral trajectories throughout the entire interaction process.

[0100] Behavioral data may include browsing data, click data, etc., which are not limited here.

[0101] Browsing data can be used to record user activities when browsing content.

[0102] For example, browsing data may include browsing time, browsing content, etc.

[0103] Click data can be used to record click operations on various controls generated when users interact with the system.

[0104] For example, the number and time of clicking a certain functional interface.

[0105] The user's behavior data in the historical period can be obtained in the storage space.

[0106] S202: Obtain first system weights corresponding to a plurality of functional interfaces and second system weights corresponding to a plurality of statistical data.

[0107] The functional interface can be used to call the function corresponding to the functional interface in the business processing system to complete the corresponding business.

[0108] The first system weight may be used to indicate the relative importance of a certain functional interface in the business processing system.

[0109] The first system weight may be a preset weight value corresponding to each functional interface.

[0110] Statistical data may refer to quantitative data obtained by collecting, organizing, calculating and analyzing multiple information corresponding to a certain business in a business processing system.

[0111] Statistical data can be used to reflect the operating status, development trend, etc. of a certain business in the business processing system.

[0112] Statistical data may include tables, statistical graphs, etc., which are not limited here.

[0113] The second system weight may be used to indicate the relative importance of a certain statistical data in the business processing system.

[0114] The second system weight may be a preset weight value corresponding to each statistical data.

[0115] The first system weights respectively corresponding to the plurality of functional interfaces and the second system weights respectively corresponding to the plurality of statistical data may be obtained in the storage space.

[0116] S203: Determine at least one target functional interface from the plurality of functional interfaces and at least one target statistical data from the plurality of statistical data according to the behavior data, the first system weight and the second system weight.

[0117] The target functional interface may be a functional interface that is predicted to be frequently used by users after analyzing the behavioral data and the system weight.

[0118] The target statistical data may be statistical data that is predicted to be of primary concern to users after analyzing the behavioral data and system weights.

[0119] The weight values ​​corresponding to multiple functional interfaces can be determined based on the behavioral data and the first system weight, and at least one target functional interface can be determined from the multiple functional interfaces based on the weight values ​​corresponding to the multiple functional interfaces. The weight values ​​corresponding to multiple statistical data can be determined based on the behavioral data and the second system weight, and at least one target statistical data can be determined from the multiple statistical data based on the weight values ​​corresponding to the multiple functional interfaces.

[0120] Optionally, at least one target functional interface can be determined from multiple functional interfaces and at least one target statistical data can be determined from multiple statistical data based on the behavioral data, the first system weight and the second system weight in the following manner: determine the first click weights and the first browsing weights respectively corresponding to the multiple functional interfaces based on the behavioral data; determine at least one target functional interface from the multiple functional interfaces based on the multiple first click weights, the multiple first browsing weights and the first system weight; determine the second click weights and the second browsing weights respectively corresponding to the multiple statistical data based on the behavioral data; determine at least one target statistical data from the multiple statistical data based on the multiple second click weights, the multiple second browsing weights and the second system weight.

[0121] S204: Display at least one target function interface and at least one target statistical data on the display interface.

[0122] At least one target function interface is displayed in the function interface dynamic display sub-region on the display interface, and at least one target statistical data is displayed in the statistical data dynamic display sub-region on the display interface.

[0123] Optionally, the dynamic display processing method also includes displaying at least one to-do task, and the at least one to-do task can be displayed in the following manner: obtaining at least one to-do task; determining the importance corresponding to at least one to-do task; and displaying at least one to-do task in sequence on the display interface in order of importance from large to small.

[0124] The importance may be determined based on how close the current time is to the deadline for the pending task, or based on the system weight of the pending task, which is not limited here.

[0125] Displaying at least one to-do task may be displayed in a to-do task dynamic display sub-region on the display interface.

[0126] Optionally, at least one target function interface and at least one target statistical data can be displayed on the display interface in the following manner: determine a first number corresponding to at least one target function interface and a second number corresponding to at least one target statistical data, obtain a preset interface number and a preset data number, and if the first number is less than or equal to the preset interface number, then display at least one target function interface in the function interface dynamic display sub-area on the display interface; if the first number is greater than the preset interface number, then determine multiple display interface sets and the display order of the first set based on multiple target function interfaces and the preset interface number, the number of target function interfaces in each display interface set is less than or equal to the preset interface number, and the function interface dynamic display sub-area on the display interface In the display sub-area, multiple target function interfaces in a display interface set are repeatedly displayed in sequence within a preset time length according to the first set display order, and if the second number is less than or equal to the preset data number, at least one target statistic data is displayed in the statistical data dynamic display sub-area on the display interface; if the second number is greater than the preset data number, multiple statistical data sets and the second set display order are determined based on the multiple target statistical data and the preset data number, the number of target statistical data in each statistical data set is less than or equal to the preset statistical number, and in the statistical data dynamic display sub-area on the display interface, multiple target statistical data in a statistical data set are repeatedly displayed in sequence within the preset time length according to the second set display order.

[0127] The dynamic display processing method provided in this embodiment obtains the user's behavior data in the historical period, obtains the first system weights corresponding to multiple function interfaces and the second system weights corresponding to multiple statistical data, and determines at least one target function interface from multiple function interfaces and at least one target statistical data from multiple statistical data according to the behavior data, the first system weight and the second system weight, and displays at least one target function interface and at least one target statistical data on the display interface. In this way, the target function interface and target statistical data frequently accessed by the user can be directly displayed on the display interface according to the user's behavior data in the historical period, and the user can directly access or view them, thereby improving the interaction efficiency of the system.

[0128] Next, combine Figure 3 , a process (S203) of determining at least one target functional interface from a plurality of functional interfaces and determining at least one target statistical data from a plurality of statistical data based on the behavioral data, the first system weight and the second system weight is explained.

[0129] Figure 3 A flowchart of another dynamic display processing method provided in an embodiment of the present application. Based on the above embodiment, see Figure 3 , the method comprising:

[0130] S301. Determine, based on the behavior data, the first number of clicks and the first browsing duration corresponding to each of the plurality of functional interfaces, and the total number of first clicks and the total first browsing duration corresponding to the plurality of functional interfaces.

[0131] The first number of clicks may be used to indicate the cumulative number of click operations on a certain functional interface by users within a historical period.

[0132] For example, if function interface A has been clicked 50 times by users in the past week, the first number of clicks corresponding to function interface A is 50.

[0133] The first browsing duration may be used to indicate the total duration that the user stays on the function page during a historical period.

[0134] For example, the total time that users stayed on the page corresponding to functional interface A after opening functional interface A in the past week.

[0135] The total number of first clicks may be used to represent the total number obtained by accumulating the number of clicks on all functional interfaces by users during a historical period.

[0136] The first total browsing time may be used to represent the total browsing time of all functional interfaces of the user accumulated during a historical period.

[0137] The behavioral data can be analyzed, processed and summarized according to the identifiers corresponding to the multiple functional interfaces, to determine the first number of clicks and the first browsing duration corresponding to the multiple functional interfaces, and the first number of clicks corresponding to the multiple functional interfaces can be added together to determine the total first number of clicks, and the first browsing duration corresponding to the multiple functional interfaces can be added together to determine the total first browsing duration.

[0138] S302. Determine first click weights and first browsing weights respectively corresponding to a plurality of functional interfaces according to a plurality of first click times, a plurality of first browsing durations, a total number of first clicks, and a total first browsing duration.

[0139] The first click weight may be used to indicate the importance of the functional interface in the user's click operation.

[0140] The first browsing weight may be used to indicate the importance of the functional interface in the user's browsing behavior.

[0141] The first click weights respectively corresponding to the multiple functional interfaces can be determined according to multiple first click numbers and the total first click numbers, and the first browsing weights respectively corresponding to the multiple functional interfaces can be determined according to multiple first browsing durations and the total first browsing durations.

[0142] For example, suppose there are functional interfaces A, B, and C. The first click count of functional interface A is 200, and the total number of first clicks is 1000. The first click weight of functional interface A = 200 / 1000 = 0.2. The first click weight indicates that functional interface A accounts for 20% of the weight of all click behaviors.

[0143] For another example, suppose the first browsing time of functional interface A is 300 minutes, and the total first browsing time is calculated to be 1500 minutes. The first browsing weight of functional interface A = 300 / 1500 = 0.2. The first browsing weight of 0.2 can indicate that of the total time that the user browses various functional interfaces, 20% of the time is spent on functional interface A.

[0144] S303: For any functional interface, determine a first click weight, a first browsing weight, and a first system weight corresponding to the functional interface.

[0145] For any functional interface, determine the interface identifier of the functional interface, and based on the interface identifier, determine the first click weight corresponding to the functional interface among multiple first click weights, determine the first browsing weight corresponding to the functional interface among multiple first browsing weights, and determine the first system weight corresponding to the functional interface among multiple first system weights.

[0146] S304: Add the first click weight, the first browsing weight, and the first system weight corresponding to the functional interface to determine a first total weight corresponding to the functional interface.

[0147] The weight value of the first click weight, the weight value of the first browsing weight and the weight value of the first system weight corresponding to the functional interface may be added together to determine the weight value corresponding to the first total weight corresponding to the functional interface.

[0148] S305 . Determine, among the multiple functional interfaces, at least one target functional interface whose first total weight is greater than or equal to a first threshold.

[0149] The first threshold value may be a preset value. The first threshold value may be determined according to actual conditions and is not limited here.

[0150] A first threshold may be acquired, and among the multiple functional interfaces, a functional interface having a first total weight greater than or equal to the first threshold is determined as a target functional interface.

[0151] S306. Determine, based on the behavior data, the second number of clicks and the second browsing duration corresponding to the plurality of statistical data, and the second total number of clicks and the second total browsing duration corresponding to the plurality of statistical data.

[0152] The second number of clicks may be used to indicate the cumulative number of click operations on a certain statistical data by users within a historical period.

[0153] For example, if statistical data A has been clicked 50 times by users in the past week, the second number of clicks corresponding to statistical data A is 50.

[0154] The second browsing duration may be used to indicate the total duration of time that the user stayed on the function page during the historical period.

[0155] For example, the total time that users stayed on the page corresponding to statistic A after opening statistic A in the past week.

[0156] The second total number of clicks may be used to represent the total number obtained by accumulating the number of clicks by users on all statistical data within a historical period.

[0157] The second total browsing time may be used to represent the total browsing time of all statistical data of the user accumulated during the historical period.

[0158] The behavioral data can be analyzed, processed and summarized according to the identifiers corresponding to the multiple statistical data, and the second number of clicks and second browsing durations corresponding to the multiple statistical data can be determined. The second number of clicks corresponding to the multiple statistical data can be added together to determine the total number of second clicks, and the second browsing durations corresponding to the multiple statistical data can be added together to determine the total second browsing duration.

[0159] S307. Determine the second click weights and the second browsing weights respectively corresponding to the multiple statistical data according to the multiple second click numbers, the multiple second browsing durations, the total number of second clicks and the second total browsing duration.

[0160] The second click weight may be used to indicate the importance of the statistical data in the user's click operation.

[0161] The second browsing weight may be used to indicate the importance of the statistical data in the user's browsing behavior.

[0162] The second click weights respectively corresponding to the multiple statistical data can be determined based on the multiple second click numbers and the second total click numbers, and the second browsing weights respectively corresponding to the multiple statistical data can be determined based on the multiple second browsing times and the second total browsing times.

[0163] For example, suppose there are statistical data A, B, and C. The second click count of statistical data A is 200, and the total number of second clicks obtained through statistics is 1000. The second click weight of statistical data A = 200 / 1000 = 0.2. The second click weight can indicate that statistical data A accounts for 20% of the weight of all click behaviors.

[0164] For another example, suppose the second browsing time of statistical data A is 300 minutes, and the total second browsing time is calculated to be 1500 minutes. The second browsing weight of statistical data A = 300 / 1500 = 0.2. The second browsing weight of 0.2 can indicate that in the total time that the user browses various statistical data, 20% of the time is spent on statistical data A.

[0165] S308. For any statistical data, determine the second click weight, the second browsing weight, and the second system weight corresponding to the statistical data.

[0166] For any statistical data, determine the identifier of the statistical data, and based on the identifier, determine the second click weight corresponding to the statistical data among multiple second click weights, determine the second browsing weight corresponding to the statistical data among multiple second browsing weights, and determine the second system weight corresponding to the statistical data among multiple second system weights.

[0167] S309: Add the second click weight, the second browsing weight, and the second system weight corresponding to the statistical data to determine a second total weight corresponding to the statistical data.

[0168] The weight value of the second click weight, the weight value of the second browsing weight, and the weight value of the second system weight corresponding to the statistical data may be added together to determine the weight value corresponding to the second total weight corresponding to the statistical data.

[0169] S310. Determine, among multiple statistical data, at least one target statistical data whose second total weight is greater than or equal to a second threshold.

[0170] The second threshold value may be a preset value. The second threshold value may be determined according to actual conditions and is not limited here.

[0171] A second threshold may be obtained, and among multiple statistical data, statistical data having a second total weight greater than or equal to the second threshold is determined as the target statistical data.

[0172] The implementation content of each step in the embodiment of the present application can refer to the description of the corresponding steps or operations in the above method embodiment, and repeated content will not be repeated.

[0173] The dynamic display processing method provided in the present embodiment determines the first number of clicks and the first browsing duration corresponding to multiple statistical data, as well as the total number of first clicks and the total first browsing duration corresponding to multiple statistical data, based on the behavior data; determines the first click weights and the first browsing weights corresponding to multiple statistical data according to the multiple first number of clicks, the multiple first browsing durations, the total number of first clicks and the total first browsing duration; determines the first click weight, the first browsing weight and the first system weight corresponding to the statistical data for any statistical data; adds the first click weight, the first browsing weight and the first system weight corresponding to the statistical data to determine the first total weight corresponding to the statistical data; and determines, among the multiple statistical data, at least one of the first total weights is greater than or equal to the first threshold. One less target statistical data, according to the behavior data, determine the second number of clicks and the second browsing duration corresponding to the multiple statistical data, as well as the second total number of clicks and the second total browsing duration corresponding to the multiple statistical data, according to the multiple second number of clicks, the multiple second browsing durations, the total number of second clicks and the second total browsing duration, determine the second click weight and the second browsing weight corresponding to the multiple statistical data, for any statistical data, determine the second click weight, the second browsing weight and the second system weight corresponding to the statistical data, add the second click weight, the second browsing weight and the second system weight corresponding to the statistical data, and determine the second total weight corresponding to the statistical data, and among the multiple statistical data, determine at least one target statistical data whose second total weight is greater than or equal to the second threshold. In this way, according to the user's behavior data in the historical period, the target statistical data and the target statistical data that the user frequently visits can be directly displayed on the display interface, and the user can directly access or check them, thereby improving the interaction efficiency of the system.

[0174] Figure 4 A schematic diagram of a dynamic display processing device provided in an embodiment of the present application. Figure 4 The dynamic display processing device 400 includes a first acquisition module 401, a second acquisition module 402, a determination module 403 and a display module 404, wherein:

[0175] The first acquisition module 401 is used to acquire the user's behavior data in a historical period;

[0176] A second acquisition module 402 is used to acquire first system weights respectively corresponding to the plurality of statistical data and second system weights respectively corresponding to the plurality of statistical data;

[0177] a determination module 403, configured to determine at least one target statistical data from the plurality of statistical data according to the behavior data, the first system weight, and the second system weight, and to determine at least one target statistical data from the plurality of statistical data;

[0178] The display module 404 is used to display the at least one target statistical data and the at least one target statistical data on the display interface.

[0179] In a possible implementation manner, the determination module 403 is specifically configured to:

[0180] Determine, according to the behavior data, first click weights and first browsing weights corresponding to the plurality of statistical data respectively;

[0181] Determining at least one target statistical data from the plurality of statistical data according to the plurality of first click weights, the plurality of first browsing weights and the first system weight;

[0182] Determine, according to the behavior data, second click weights and second browsing weights corresponding to the plurality of statistical data respectively;

[0183] At least one target statistical data is determined from the plurality of statistical data based on the plurality of second click weights, the plurality of second browsing weights, and the second system weights.

[0184] In a possible implementation manner, the determination module 403 is specifically configured to:

[0185] For any statistical data, determine a first click weight, a first browsing weight, and a first system weight corresponding to the statistical data;

[0186] Adding the first click weight, the first browsing weight, and the first system weight corresponding to the statistical data to determine a first total weight corresponding to the statistical data;

[0187] Among the plurality of statistical data, at least one target statistical data having a first total weight greater than or equal to a first threshold is determined.

[0188] In a possible implementation manner, the determination module 403 is specifically configured to:

[0189] For any statistical data, determining a second click weight, a second browsing weight, and a second system weight corresponding to the statistical data;

[0190] Adding the second click weight, the second browsing weight and the second system weight corresponding to the statistical data to determine a second total weight corresponding to the statistical data;

[0191] Among the plurality of statistical data, at least one target statistical data having a second total weight greater than or equal to a second threshold is determined.

[0192] In a possible implementation manner, the determination module 403 is specifically configured to:

[0193] Determine, according to the behavior data, the first number of clicks and the first browsing durations respectively corresponding to the plurality of statistical data, and the total number of first clicks and the total first browsing durations corresponding to the plurality of statistical data;

[0194] According to multiple first click numbers, multiple first browsing durations, the first total number of clicks and the first total browsing duration, the first click weights and the first browsing weights respectively corresponding to the multiple statistical data are determined.

[0195] In a possible implementation manner, the determination module 403 is specifically configured to:

[0196] Determine, based on the behavior data, the second number of clicks and the second browsing duration respectively corresponding to the plurality of statistical data, and the second total number of clicks and the second total browsing duration corresponding to the plurality of statistical data;

[0197] According to multiple second click numbers, multiple second browsing durations, the second total number of clicks and the second total browsing duration, the second click weights and the second browsing weights respectively corresponding to the multiple statistical data are determined.

[0198] In a possible implementation, the display module 404 is further used for:

[0199] Obtaining the at least one to-do task;

[0200] Determining the importance of each of the at least one to-do task;

[0201] At least one to-do task is displayed in sequence on the display interface in descending order of importance.

[0202] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. Figure 5 , the electronic device 500 may include: a memory 501 , a processor 502 , and a transceiver 503 .

[0203] The memory 501 is used to store program instructions;

[0204] The processor 502 is used to execute the program instructions stored in the memory, so as to enable the electronic device 500 to execute any of the above-mentioned dynamic display processing methods.

[0205] The transceiver 503 may include: a transmitter and / or a receiver. The transmitter may also be referred to as a transmitter, a transmitter, a transmission port, a transmission interface, or the like, and the receiver may also be referred to as a receiver, a reception port, a reception interface, or the like. Exemplarily, the memory 501, the processor 502, and the transceiver 503 are interconnected via a bus 504.

[0206] The present application also provides a chip having a computer program stored thereon. When the computer program is executed by the chip, the above-mentioned dynamic display processing method is implemented. The corresponding content and effects can be referred to in the method embodiment part, which will not be described in detail.

[0207] The present application also provides a chip module, on which a computer program is stored. When the computer program is executed by the chip module, the above-mentioned dynamic display processing method is implemented. The corresponding content and effects can be referred to the method embodiment part, which will not be repeated here.

[0208] The embodiment of the present application also provides a computer program product, which can be executed by a processor. When the computer program product is executed, the above-mentioned dynamic display processing method can be implemented.

[0209] The dynamic display processing device, electronic device, computer-readable storage medium and computer program product of the embodiments of the present application can execute the technical solutions shown in the above-mentioned dynamic display processing method embodiments, and their implementation principles and beneficial effects are similar, which will not be repeated here.

[0210] All or part of the steps of the above-mentioned method embodiments can be completed by hardware related to program instructions. The aforementioned program can be stored in a readable memory. When the program is executed, the steps of the above-mentioned method embodiments are executed; and the aforementioned memory (storage medium) includes: read-only memory (ROM), random access memory (RAM), flash memory, hard disk, solid state drive, magnetic tape, floppy disk, optical disc and any combination thereof.

[0211] The embodiments of the present application are described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer-executable instructions. These computer-executable instructions can be provided to a processing unit of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to generate a machine, so that the instructions executed by the processing unit of the computer or other programmable data processing device generate instructions for implementing the process in the flowchart. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0212] These computer executable instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture including an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0213] These computer executable instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process in the computer or other programmable device. Figure 1 A process or multiple processes and / or boxes Figure 1 The steps for the functions specified in one or more boxes.

[0214] Obviously, those skilled in the art can make various changes and modifications to the embodiments of the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the embodiments of the present application fall within the scope of the claims of the present application and their equivalents, the present application is also intended to include these modifications and variations.

Claims

1. A dynamic display processing method, characterized in that: Applied to a business processing system, the business processing system is configured with a display interface, the business processing system includes multiple functional interfaces and multiple statistical data, and the method includes: Obtain user behavior data over a historical period; Obtaining first system weights corresponding to the plurality of functional interfaces and second system weights corresponding to the plurality of statistical data; determining at least one target functional interface from the plurality of functional interfaces and at least one target statistical data from the plurality of statistical data based on the behavior data, the first system weight, and the second system weight; The at least one target function interface and the at least one target statistical data are displayed on the display interface.

2. The method according to claim 1, characterized in that Determining at least one target functional interface from the plurality of functional interfaces according to the behavior data, the first system weight, and the second system weight, and determining at least one target statistical data from the plurality of statistical data, comprising: Determine, according to the behavior data, first click weights and first browsing weights corresponding to the multiple functional interfaces respectively; Determining at least one target functional interface from the plurality of functional interfaces according to the plurality of first click weights, the plurality of first browsing weights and the first system weight; Determine, according to the behavior data, second click weights and second browsing weights corresponding to the plurality of statistical data respectively; At least one target statistical data is determined from the plurality of statistical data according to the plurality of second click weights, the plurality of second browsing weights and the second system weights.

3. The method according to claim 2, characterized in that Determining at least one target function interface from the plurality of function interfaces according to the plurality of first click weights, the plurality of first browsing weights, and the first system weight includes: For any functional interface, determine a first click weight, a first browsing weight, and a first system weight corresponding to the functional interface; Adding a first click weight, a first browsing weight, and a first system weight corresponding to the functional interface to determine a first total weight corresponding to the functional interface; Among the plurality of functional interfaces, at least one target functional interface whose first total weight is greater than or equal to a first threshold is determined.

4. The method according to claim 2, characterized in that: Determining at least one target statistical data from the plurality of statistical data according to the plurality of second click weights, the plurality of second browsing weights and the second system weights, including: For any statistical data, determining a second click weight, a second browsing weight, and a second system weight corresponding to the statistical data; Adding the second click weight, the second browsing weight and the second system weight corresponding to the statistical data to determine a second total weight corresponding to the statistical data; Among the plurality of statistical data, at least one target statistical data having a second total weight greater than or equal to a second threshold is determined.

5. The method according to claim 2, characterized in that: Determining first click weights and first browsing weights respectively corresponding to the plurality of functional interfaces according to the behavior data includes: Determine, according to the behavior data, the first number of clicks and the first browsing durations respectively corresponding to the multiple functional interfaces, and the total number of first clicks and the total first browsing durations corresponding to the multiple functional interfaces; According to multiple first click numbers, multiple first browsing durations, the first total number of clicks and the first total browsing duration, the first click weights and the first browsing weights respectively corresponding to the multiple function interfaces are determined.

6. The method according to claim 2, characterized in that Determining, according to the behavior data, second click weights and second browsing weights corresponding to the plurality of statistical data respectively, including: Determine, based on the behavior data, the second number of clicks and the second browsing duration respectively corresponding to the plurality of statistical data, and the second total number of clicks and the second total browsing duration corresponding to the plurality of statistical data; According to multiple second click numbers, multiple second browsing durations, the total number of the second clicks and the total second browsing duration, the second click weights and the second browsing weights respectively corresponding to the multiple statistical data are determined.

7. The method according to any one of claims 1 to 6, characterized in that: The method further comprises: Obtaining the at least one to-do task; Determining the importance of each of the at least one to-do task; At least one to-do task is displayed in sequence on the display interface in descending order of importance.

8. A dynamic display processing device, characterized in that: Applied to a business processing system, the business processing system is configured with a display interface, the business processing system includes multiple functional interfaces and multiple statistical data, and the device includes: The first acquisition module is used to acquire the user's behavior data in a historical period; A second acquisition module, used to acquire first system weights respectively corresponding to the plurality of functional interfaces and second system weights respectively corresponding to the plurality of statistical data; a determination module, configured to determine at least one target functional interface from the plurality of functional interfaces and at least one target statistical data from the plurality of statistical data according to the behavior data, the first system weight and the second system weight; The display module is used to display the at least one target function interface and the at least one target statistical data on the display interface.

9. An electronic device, characterized in that: include: memory, processors, and transceivers; Wherein, the memory stores computer-executable instructions; The processor executes the computer-executable instructions stored in the memory to implement the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer-executable instructions, which are used to implement the method according to any one of claims 1 to 7 when executed by a processor.

Images