Television desktop recommendation method and system, terminal and storage medium

Abstract

The invention discloses a television desktop recommendation method and system, a terminal and a storage medium, and the method comprises the steps: detecting whether a user exists in real time, and obtaining scene information, historical user data and television state information when the user exists; determining television desktop wallpaper according to the scene information and the historical user data; and determining a television desktop application according to the television state information and the historical user data. Because the user is detected in real time, the television desktop wallpaper is generated and the television desktop application is recommended according to the current scene information, the television state information and the historical user data, so that the recommended wallpaper and application can be suitable for the current television use environment and use state; therefore, the problem that in the prior art, the desktop content is single and does not accord with user preferences due to a method for setting a static page in advance or configuring a television desktop online can be effectively solved.

Description

Technical Field

[0001] The present invention relates to the field of television, and in particular to a television desktop recommendation method, system, terminal and storage medium. Background Art

[0002] With the continuous advancement of technology, TV hardware performance is getting stronger and stronger, and its functions are increasing. However, the content displayed on the TV desktop is currently mostly determined by the application provider, who displays the TV desktop by setting a static page in advance or configuring the TV desktop online, which easily leads to a single desktop content that does not meet the user's preferences, lacks flexibility and interactivity, and cannot provide a fully immersive user experience.

[0003] Therefore, the existing technology still needs to be improved and developed. Summary of the invention

[0004] The technical problem to be solved by the present invention is that, in view of the above-mentioned defects of the prior art, a TV desktop recommendation method, system, terminal and storage medium are provided, aiming to solve the problem in the prior art that the method of setting a static page in advance or configuring the TV desktop online results in a single desktop content that does not conform to user preferences.

[0005] The technical solution adopted by the present invention to solve the problem is as follows:

[0006] In a first aspect, an embodiment of the present invention provides a TV desktop recommendation method, wherein the method comprises:

[0007] Detect in real time whether a user exists, and when a user exists, obtain scene information, historical user data, and TV status information;

[0008] Determine a TV desktop wallpaper according to the scene information and the historical user data;

[0009] A television desktop application is determined according to the television state information and the historical user data.

[0010] In an implementation method, the scene information includes scene state information and scene theme information, and determining the TV desktop wallpaper according to the scene information and the historical user data includes:

[0011] Determine desktop wallpaper parameters according to the scene state information, the scene theme information and the historical user data;

[0012] The television desktop wallpaper is determined according to the desktop wallpaper parameters.

[0013] In an implementation method, determining desktop wallpaper parameters according to the scene state information, the scene theme information, and the historical user data includes:

[0014] Determining a scene state parameter according to the scene state information, wherein the scene state information includes user state information and scene space information;

[0015] Determine scene theme parameters according to the scene theme information;

[0016] determining a user style parameter according to the historical user data;

[0017] The desktop wallpaper parameters are determined according to the scene state parameters, the scene theme parameters and the user style parameters.

[0018] In one implementation method, determining scene theme parameters according to scene theme information includes:

[0019] Get the preset topic information priority;

[0020] The scene theme parameters are determined according to the scene theme information and the theme information priority.

[0021] In one implementation method, determining a TV desktop application according to the TV state information and the historical user data includes:

[0022] Determining whether the television state has changed according to the television state information;

[0023] When the television state has not changed, analyzing the historical user data to determine an application recommendation list;

[0024] The real time is obtained, and the TV desktop application is determined according to the real time and the application recommendation list.

[0025] In one implementation method, the method further includes:

[0026] When the television state changes, obtaining a television state change factor based on the television state information;

[0027] The television desktop application is determined according to the television state change factor.

[0028] In one implementation method, the method further includes:

[0029] When the user approaches the TV, the visual features in the TV desktop wallpaper are extracted by an image recognition algorithm;

[0030] An interactive special effects animation is generated according to the visual features and the historical user data.

[0031] In a second aspect, an embodiment of the present invention further provides a TV desktop recommendation system, wherein the TV desktop recommendation system comprises:

[0032] The detection module is used to detect in real time whether a user exists and, when a user exists, obtain scene information, historical user data, and TV status information;

[0033] A wallpaper recommendation module, used to determine a TV desktop wallpaper according to the scene information and the historical user data;

[0034] The application recommendation module is used to determine the TV desktop application according to the TV status information and the historical user data.

[0035] In a third aspect, an embodiment of the present invention further provides a terminal comprising a memory and one or more processors; the memory stores one or more programs; the program comprises instructions for executing any of the TV desktop recommendation methods described above; and the processor is used to execute the program.

[0036] In a fourth aspect, an embodiment of the present invention further provides a computer-readable storage medium on which a plurality of instructions are stored, wherein the instructions are suitable for being loaded and executed by a processor to implement any of the above-mentioned TV desktop recommendation methods.

[0037] Beneficial effects of the present invention: The embodiments of the present invention detect whether a user exists in real time, and when the user exists, obtain scene information, historical user data, and TV status information; determine the TV desktop wallpaper according to the scene information and the historical user data; and determine the TV desktop application according to the TV status information and the historical user data. Since the present invention detects the user in real time, it generates TV desktop wallpaper and recommends TV desktop applications according to the current scene information, TV status information, and historical user data, so that the recommended wallpaper and application can be suitable for the current TV usage environment and usage status. Therefore, it can effectively solve the problem in the prior art that the method of setting a static page in advance or configuring the TV desktop online results in a single desktop content that does not conform to user preferences. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0039] Figure 1 The figure is a flowchart of a TV desktop recommendation method provided by an embodiment of the present invention.

[0040] Figure 2 It is a schematic diagram of recommendation functions of the TV desktop recommendation method provided by an embodiment of the present invention.

[0041] Figure 3 The present invention is a schematic diagram of a TV desktop wallpaper recommendation process according to an embodiment of the present invention.

[0042] Figure 4 The present invention is a schematic diagram of a television usage status detection process according to an embodiment of the present invention.

[0043] Figure 5 The present invention provides a schematic diagram of a TV desktop application recommendation process.

[0044] Figure 6 It is a schematic diagram of the interactive special effects animation display process provided by an embodiment of the present invention.

[0045] Figure 7 It is a schematic diagram of the interactive special effects animation generation process provided by an embodiment of the present invention.

[0046] Figure 8 It is a schematic diagram of the internal modules of the TV desktop recommendation system provided by an embodiment of the present invention.

[0047] Fig. 9 It is a principle block diagram of a terminal provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0048] The present invention discloses a TV desktop recommendation method, system, terminal and storage medium. In order to make the purpose, technical solution and effect of the present invention clearer and more specific, the present invention is further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0049] It will be understood by those skilled in the art that, unless expressly stated, the singular forms "one", "said", and "the" used herein may also include plural forms. It should be further understood that the term "comprising" used in the specification of the present invention refers to the presence of the features, integers, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or groups thereof. It should be understood that when we refer to an element as being "connected" or "coupled" to another element, it may be directly connected or coupled to the other element, or there may be intermediate elements. In addition, the "connection" or "coupling" used herein may include wireless connection or wireless coupling. The term "and / or" used herein includes all or any unit and all combinations of one or more associated listed items.

[0050] It will be understood by those skilled in the art that, unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as generally understood by those skilled in the art in the art to which the present invention belongs. It should also be understood that terms such as those defined in general dictionaries should be understood to have meanings consistent with the meanings in the context of the prior art, and will not be interpreted with idealized or overly formal meanings unless specifically defined as herein.

[0051] With the continuous advancement of technology, TV hardware performance is getting stronger and stronger, and more and more functions are available. However, the content displayed on the current TV desktop is mostly determined by the application provider, and is preset in static pages or manually configured online. The method of setting static pages in advance or configuring the TV desktop online easily leads to a single desktop content that does not meet the user's preferences, lacks flexibility and interactivity, and cannot provide a fully immersive user experience.

[0052] In view of the above-mentioned defects of the prior art, the present invention provides a TV desktop recommendation method, which detects in real time whether a user exists, and when the user exists, obtains scene information, historical user data, and TV status information; determines a TV desktop wallpaper according to the scene information and the historical user data; and determines a TV desktop application according to the TV status information and the historical user data. Since the present invention detects the user in real time, it generates a TV desktop wallpaper and recommends a TV desktop application according to the current scene information, TV status information, and historical user data, so that the recommended wallpaper and application can be suitable for the current TV usage environment and usage status. Therefore, it can effectively solve the problem in the prior art that the method of setting a static page in advance or configuring the TV desktop online results in a single desktop content that does not conform to user preferences.

[0053] For example, suppose it is a snowy winter day, and the user is alone in a spacious room and turns on the TV. The TV detects the user's presence, obtains the scene information at that time (such as snowy winter day, spacious room, one person, etc.) and historical user data, and intelligently generates animation style, rich content atmosphere wallpaper and quiet music based on the scene information and historical user data, which enhances the user experience. At the same time, based on the TV status information and historical user data, the TV desktop application is recommended, and the user can use the remote control to easily enter the application they want to use. When the user approaches the TV from a distance, the TV will detect the user's movement and display animation effects that fit the snow in winter, which enhances the interactive experience.

[0054] Exemplary Methods

[0055] The TV desktop recommendation method of this embodiment can be applied to various TV devices, and in addition, it can also be applied to devices with interfaces such as computers and smart phones. The TV desktop recommendation method in this embodiment is mainly composed of a millimeter wave hardware module and a software system program. Real-time detection is performed through the millimeter wave hardware module, and data is processed through the application software system program, and the content recommendation results of the data processing are displayed on the interface. Among them, the functions realized by the software system program include: millimeter wave interaction, wallpaper recommendation, and application recommendation.

[0056] like Figure 1 As shown, the method includes:

[0057] Step S100: Detect in real time whether a user exists, and when the user exists, obtain scene information, historical user data, and television status information.

[0058] In this embodiment, the millimeter wave hardware module is used for real-time detection to determine whether the user is in front of the TV. When the user is present, the scene information, historical user data and TV status information in front of the current TV are obtained. Among them, the scene information is the scene that the TV device may be used in the current time, for example, whether the user is alone or with many friends, whether the current weather is sunny or rainy, etc.; the TV status information is used to reflect whether the TV device currently has other devices connected or information transmitted, etc.; the historical user data is the user's historical use record of the TV device, wherein the historical use data includes historical wallpaper data and historical application data; the historical wallpaper data is used to extract historical wallpaper parameters, so as to analyze the wallpaper style that the user likes, such as the wallpaper theme, wallpaper brightness, wallpaper color, wallpaper music, etc. corresponding to the historical wallpaper; the historical application data is used to obtain the user's commonly used application usage parameters in different time periods, such as during the period of 8:00-10:00 in the evening, the video playback software is started once, and the playback time is one and a half hours, etc. In addition, the historical use data also includes relevant parameters of the TV device and connected devices, such as the volume, brightness, network connection, and multimedia device connection of the TV device.

[0059] like Figure 1 As shown, the method further comprises the following steps:

[0060] Step S200: determining a TV desktop wallpaper according to the scene information and the historical user data.

[0061] In simple terms, the scene information is analyzed to obtain the current application scene; the historical wallpaper data in the historical user data is analyzed to determine the user's preferences based on the historical wallpaper data. The current TV desktop wallpaper is then determined based on the application scene and the user's preferences.

[0062] In one implementation, the scene information includes scene state information and scene theme information, and determining the TV desktop wallpaper according to the scene information and the historical user data includes:

[0063] Step S201, determining desktop wallpaper parameters according to the scene state information, the scene theme information and the historical user data;

[0064] Step S202: determining the TV desktop wallpaper according to the desktop wallpaper parameters.

[0065] Specifically, the scene information includes but is not limited to scene state information and scene theme information. The scene state information is used to describe the state of the current scene, such as whether the current scene is a dynamic scene or a static scene. The scene theme information is used to describe whether it is a festival, such as a Christmas theme, a Chinese Valentine's Day theme, etc. This embodiment obtains desktop wallpaper parameters by analyzing the scene state information, the scene theme information, and the historical wallpaper data in the historical user data, thereby determining the TV desktop wallpaper according to the desktop wallpaper parameters.

[0066] In this embodiment, the TV desktop wallpaper includes wallpaper and background music. The method for determining the TV desktop wallpaper according to the desktop wallpaper parameters includes: uploading the desktop wallpaper parameters to the cloud server, determining whether to use AI (artificial intelligence) tools; if yes, generating wallpaper and background music according to the desktop wallpaper parameters by AI; if not, selecting the wallpaper and background music that best meet the conditions in the existing resource database; and finally returning the obtained wallpaper and background music to the desktop application for display.

[0067] In one implementation, determining desktop wallpaper parameters according to the scene state information, the scene theme information, and the historical user data includes:

[0068] Step S2011: determining scene state parameters according to the scene state information, wherein the scene state information includes user state information and scene space information;

[0069] Step S2012: determining scene theme parameters according to the scene theme information;

[0070] Step S2013: determining user style parameters according to the historical user data;

[0071] Step S2014: determining the desktop wallpaper parameters according to the scene state parameters, the scene theme parameters and the user style parameters.

[0072] Specifically, the scene state information includes user state information and scene space information, wherein the user state information includes the number of users and user states, wherein the number of users is the number of users in front of the TV device, and the user state is used to describe the movement amplitude of the users in front of the TV. For example, if two users are sitting on the sofa in front of the TV and chatting, and the user movements are detected and the corresponding movement amplitude of the users is small, then the user state is calm. In this embodiment, the millimeter wave hardware module is continuously detected to obtain the number of people in front of the TV and the movement amplitude as user state information, and the size of the space in front of the TV is obtained as scene space information. The scene state parameters are determined according to the user state information and the scene space information. For example, according to the user status analysis, when there are fewer people, the smaller the movement, and the calmer the environment, a soothing and peaceful atmosphere desktop is recommended; when there are more people, the greater the movement, and the more lively the environment, a dynamic and lively atmosphere desktop is recommended; according to the scene space information analysis, if the space in front of the TV is large, a rich and layered atmosphere desktop is recommended: wallpapers with darker colors, richer content, and full of details allow the TV to better embellish and decorate large rooms; more complex and grand music has better audio-visual effects in large spaces and is more impressive. If the space in front of the TV is small, a simple and bright atmosphere desktop is recommended: wallpapers with brighter colors, simple content, and a wide field of view can expand the sense of space in the indoor environment; soft and melodious music, or some sounds of nature, create a comfortable atmosphere.

[0073] The scene theme information mainly includes factors such as weather, festivals, and time. This embodiment obtains the scene theme information through a network interface call, and thus determines the scene theme parameters according to the obtained scene theme information. The historical user data is stored in a local database, which is a record of the user's playback history and TV applications. The user's preferences are obtained by comprehensively analyzing the historical wallpaper data in the historical user data, and finally the user style parameters are determined, such as literary style, cartoon style, realistic style, etc.

[0074] In one implementation, determining the scene theme parameters according to the scene theme information includes:

[0075] Get the preset topic information priority;

[0076] The scene theme parameters are determined according to the scene theme information and the theme information priority.

[0077] In this embodiment, the priority of the theme information is pre-set for each factor in the scene theme information, for example, the priority order of festival>weather=time is set. When the festival information is obtained and it is judged that a festival is approaching, the relevant festival theme can be selected as the scene theme parameter first to better enjoy the festival atmosphere; the second is weather and time. Depending on whether it is rainy or sunny, day or night, the relevant elements of weather and time are selected as the scene theme parameters.

[0078] like Figure 1 As shown, the method further comprises the following steps:

[0079] Step S300: Determine a TV desktop application according to the TV status information and the historical user data.

[0080] In simple terms, TV desktop application recommendations are divided into temporary recommendations and smart recommendations. Temporary recommendations determine whether the TV has any special changes based on the TV status information, and recommend applications that users want to use at this time based on the changes; smart recommendations analyze historical application data of historical user data to recommend applications that users have frequently used before.

[0081] In one implementation, determining a TV desktop application according to the TV state information and the historical user data includes:

[0082] Step S301, judging whether the television state has changed according to the television state information;

[0083] Step S302: When the television state has not changed, the historical user data is analyzed to determine an application recommendation list;

[0084] Step S303: acquiring real time, and determining the TV desktop application according to the real time and the application recommendation list.

[0085] Specifically, based on the TV status information, it continuously detects whether the TV status has changed, that is, whether the TV is currently connected to other devices or transmitting information, etc.; when the TV status has not changed, intelligent recommendation is used to obtain various data of the application recorded in the historical application data in the historical user data from the local database, such as application startup frequency, application active period, application usage time, etc. By performing algorithmic analysis on the data, the application that the user most wants to use in the current time period is obtained, and the application recommendation is displayed on the desktop. If it is impossible to obtain the application that the user frequently uses in the current time period based on the analysis of historical application data, the analysis and detection will be performed again at fixed intervals.

[0086] In one implementation, the method further includes:

[0087] Step S304: when the television state changes, obtaining a television state change factor based on the television state information;

[0088] Step S305: Determine the TV desktop application according to the TV state change factor.

[0089] The TV state change factor is the factor that currently causes the TV state to change. When the TV state changes, a temporary recommendation is used to analyze the TV state information to determine the TV state change factor, such as network connection, USB flash drive access, HDMI (High Definition Multimedia Interface) signal access, etc. The TV state change factor is analyzed to determine the applications that the user may need, and the application recommendations that may be needed are displayed on the desktop. For example, if it is detected that the network is not connected, the user may need to enter the settings to reconfigure the network; if it is detected that a USB flash drive is inserted into the device, the user may need to enter the file manager to view the contents of the USB flash drive; if the user inserts a signal source, the user may need to switch to the corresponding HDMI signal source. If it is not inferred from the detected state change that the user wants to open a certain application, the detection continues.

[0090] In one implementation, the method further includes:

[0091] When the user approaches the TV, the visual features in the TV desktop wallpaper are extracted by an image recognition algorithm;

[0092] An interactive special effects animation is generated according to the visual features and the historical user data.

[0093] Interactive special effects animation is used to interact with users and improve user experience. For example, when a user approaches the TV, special effects such as floating flowers, falling rain, and salutes are displayed to show welcome. This embodiment uses the millimeter wave hardware module for continuous detection. When it is detected that the user is approaching the TV, it determines whether the wallpaper of the current TV supports millimeter wave interaction. If the wallpaper of the current TV supports millimeter wave interaction, the currently displayed wallpaper is obtained, and the visual elements (such as weather, scenes, objects, etc.) and color composition of the current wallpaper are extracted through a specific image recognition algorithm. Visual data such as analysis of the extracted visual data is converted into visual features (color, object elements, style, animation type, animation frequency, animation amplitude, etc.) required for special effect generation. According to actual conditions, you can choose to use AI tools to generate interactive special effects animations based on visual features or match the most suitable interactive special effects animations from an existing special effects database based on visual features, and fine-tune the selected interactive special effects animations according to visual features, including adjustments to color and animation properties, to generate the final interactive special effects animation.

[0094] In one implementation, the generated TV desktop wallpaper, TV desktop application, and TV usage record are stored in a database as user history data.

[0095] Based on the above embodiments, the present invention also provides a TV desktop recommendation system. Figure 8 As shown, the system comprises:

[0096] Detection module 01, used to detect in real time whether a user exists, and when a user exists, obtain scene information, historical user data and TV status information;

[0097] Wallpaper recommendation module 02, used to determine the TV desktop wallpaper according to the scene information and the historical user data;

[0098] The application recommendation module 03 is used to determine the TV desktop application according to the TV status information and the historical user data.

[0099] Based on the above embodiment, the present invention further provides a terminal, whose principle block diagram can be shown as follows: Fig. 9 As shown. The terminal includes a processor, a memory, a network interface, and a display screen connected via a system bus. Among them, the processor of the terminal is used to provide computing and control capabilities. The memory of the terminal includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the terminal is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, a TV desktop recommendation method is implemented. The display screen of the terminal can be a liquid crystal display screen or an electronic ink display screen.

[0100] Those skilled in the art will understand that Fig. 9 The principle block diagram shown in the figure is only a block diagram of a partial structure related to the scheme of the present invention, and does not constitute a limitation on the terminal to which the scheme of the present invention is applied. The specific terminal may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0101] In one implementation, the memory of the terminal stores one or more programs, and is configured to be executed by one or more processors, and the one or more programs include instructions for performing the TV desktop recommendation method.

[0102] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided by the present invention can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0103] In summary, the present invention discloses a TV desktop recommendation method, system, terminal and storage medium, wherein the method detects in real time whether a user exists, and when the user exists, obtains scene information, historical user data and TV status information; determines a TV desktop wallpaper according to the scene information and the historical user data; and determines a TV desktop application according to the TV status information and the historical user data. Since the present invention detects the user in real time, it generates a TV desktop wallpaper and recommends a TV desktop application according to the current scene information, TV status information and historical user data, so that the recommended wallpaper and application can be suitable for the current TV usage environment and usage status, thus effectively solving the problem in the prior art of setting a static page in advance or configuring the TV desktop online, which results in a single desktop content that does not conform to user preferences.

[0104] It should be understood that the application of the present invention is not limited to the above examples. For ordinary technicians in this field, improvements or changes can be made based on the above description. All these improvements and changes should fall within the scope of protection of the claims attached to the present invention.

Claims

1. A TV desktop recommendation method, characterized in that: The method comprises: Detect in real time whether a user exists, and when a user exists, obtain scene information, historical user data, and TV status information; Determine a TV desktop wallpaper according to the scene information and the historical user data; A television desktop application is determined according to the television state information and the historical user data.

2. The TV desktop recommendation method according to claim 1, characterized in that: The scene information includes scene state information and scene theme information, and determining the TV desktop wallpaper according to the scene information and the historical user data includes: Determine desktop wallpaper parameters according to the scene state information, the scene theme information and the historical user data; The television desktop wallpaper is determined according to the desktop wallpaper parameters.

3. The TV desktop recommendation method according to claim 2, characterized in that: The determining of desktop wallpaper parameters according to the scene state information, the scene theme information and the historical user data includes: Determining a scene state parameter according to the scene state information, wherein the scene state information includes user state information and scene space information; Determine scene theme parameters according to the scene theme information; determining a user style parameter according to the historical user data; The desktop wallpaper parameters are determined according to the scene state parameters, the scene theme parameters and the user style parameters.

4. The TV desktop recommendation method according to claim 3, characterized in that: Determining the scene theme parameters according to the scene theme information includes: Get the preset topic information priority; The scene theme parameters are determined according to the scene theme information and the theme information priority.

5. The TV desktop recommendation method according to claim 1, characterized in that: Determining a TV desktop application according to the TV state information and the historical user data includes: Determining whether the television state has changed according to the television state information; When the television state has not changed, analyzing the historical user data to determine an application recommendation list; The real time is obtained, and the TV desktop application is determined according to the real time and the application recommendation list.

6. The TV desktop recommendation method according to claim 5, characterized in that: The method further comprises: When the television state changes, obtaining a television state change factor based on the television state information; The television desktop application is determined according to the television state change factor.

7. The TV desktop recommendation method according to claim 1, characterized in that: The method further comprises: When the user approaches the TV, the visual features in the TV desktop wallpaper are extracted by an image recognition algorithm; An interactive special effects animation is generated according to the visual features and the historical user data.

8. A TV desktop recommendation system, characterized in that: The system comprises: The detection module is used to detect in real time whether a user exists and, when a user exists, obtain scene information, historical user data, and TV status information; A wallpaper recommendation module, used to determine a TV desktop wallpaper according to the scene information and the historical user data; The application recommendation module is used to determine the TV desktop application according to the TV status information and the historical user data.

9. A terminal, characterized in that: The terminal includes a memory and one or more processors; the memory stores one or more programs; the program contains instructions for executing the TV desktop recommendation method as described in any one of claims 1-7; and the processor is used to execute the program.

10. A computer-readable storage medium having a plurality of instructions stored thereon, characterized in that: The instructions are suitable for being loaded and executed by a processor to implement the steps of the TV desktop recommendation method described in any one of claims 1 to 7 above.

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