CN114501151A - Display device and media asset recommendation method - Google Patents

Display device and media asset recommendation method Download PDF

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Publication number
CN114501151A
CN114501151A CN202210080136.2A CN202210080136A CN114501151A CN 114501151 A CN114501151 A CN 114501151A CN 202210080136 A CN202210080136 A CN 202210080136A CN 114501151 A CN114501151 A CN 114501151A
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China
Prior art keywords
preference
asset
media
log
user
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Granted
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CN202210080136.2A
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Chinese (zh)
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CN114501151B (en
Inventor
隋雪芹
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Qingdao Jukanyun Technology Co ltd
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Qingdao Jukanyun Technology Co ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866—Management of end-user data
    • H04N21/25891—Management of end-user data being end-user preferences
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/4508—Management of client data or end-user data
    • H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4667—Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Computer Graphics (AREA)
  • Computing Systems (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

The application discloses a display device and a media asset recommendation method. Wherein, the searching instruction input by the user is received; responding to the search instruction, and acquiring a full-amount log of the media assets; determining a first play log and a second play log according to the full-volume log of the media assets; the first play log is a log of the media assets played by the user through searching; the second play log is a log of the media assets played by the user without searching; determining target preference media resources according to first preference of the first media resources in the first play log and second preference corresponding to the first media resources in the second play log; and determining the target preference media asset and the associated preference media asset of the target preference media asset as the target recommendation media asset. According to the method and the device, the target preference media assets of the user can be obtained according to the full logs of the media assets, the target recommendation media assets are determined by combining the associated preference media assets of the target preference media assets, the potential interests of the user can be mined through subjective search of the user so as to recommend the media assets to the user, and the film watching experience of the user is improved.

Description

Display device and media asset recommendation method
Technical Field
The application relates to the technical field of display equipment, in particular to display equipment and a media asset recommendation method.
Background
With the advent of the internet age, media content options such as movies, music, television programs, and videos have grown. Typically, a user has limited time to concentrate on watching television or browsing videos, but needs to select viewing content from a vast amount of videos.
The existing method for recommending the media assets is that a display equipment manufacturer recommends the media assets to a user according to various factors such as freshness of the media assets, popularity of the media assets, click rate of the media assets, quality of the media assets, relevance between media asset content and user interest and the like, however, the media assets recommended to the user by the existing method for recommending the media assets may not be the media assets which are interesting to the user, and the user may waste time to watch media asset content which is not interesting.
Therefore, it is desirable to provide a method for recommending media assets, which can recommend effective videos to users.
Disclosure of Invention
The application provides a display device and a media asset recommendation method, which can recommend media assets to a user by mining potential interests of the user, and improve the film watching experience of the user.
In a first aspect, the present application shows a display device comprising: a display; a controller configured to: receiving a search instruction input by a user; responding to the search instruction, and acquiring a full-amount log of the media assets; determining a first play log and a second play log according to the full-volume log of the media assets; the first play log is a log of the media assets played by the user through searching; the second play log is a log of the media assets played by the user without searching; determining target preference media resources according to first preference of the first media resources in the first play log and second preference corresponding to the first media resources in the second play log; wherein, the first media asset is the media asset played by the user after searching; the first preference is a numerical value used for representing the subjective preference of the user; the second preference is a numerical value used for representing the passive preference of the user; and determining the target preference media asset and the associated preference media asset of the target preference media asset as the target recommendation media asset. By adopting the method of the embodiment, the potential interest of the user can be mined through the media assets which are subjectively searched by the user, the recommended media assets can be more suitable for the viewing interest of the user, and the viewing experience of the user is improved.
In a second aspect, the present application shows a method for recommending media assets, the method including: acquiring a full-amount log of the media assets; determining a first play log and a second play log according to the full-volume log of the media assets; the first play log is a log of the media assets played by the user through searching; the second play log is a log of the media assets played by the user without searching; determining target preference media resources according to first preference of the first media resources in the first play log and second preference corresponding to the first media resources in the second play log; wherein, the first media asset is the media asset played by the user after searching; the first preference is a numerical value used for representing the subjective preference of the user; the second preference is a numerical value used for representing the passive preference of the user; and determining the target preference media asset and the associated preference media asset of the target preference media asset as the target recommendation media asset. By adopting the method of the embodiment, the potential interest of the user can be mined through the media assets which are subjectively searched by the user, the recommended media assets can be more suitable for the viewing interest of the user, and the viewing experience of the user is improved.
According to the technical scheme, the display device and the media asset recommendation method can respond to the search instruction of the user to acquire the full-volume logs of the media assets when receiving the search instruction input by the user; and determining a first play log and a second play log according to the full-volume logs of the media assets, thereby determining the target preference media assets. The first play log is a log of the media assets played by the user through searching; the second play log is a log that the user plays without searching. And after the target preference media asset is determined, determining the target preference media asset and the associated preference media asset of the target preference media asset as the target recommendation media asset. The method can acquire the target preference media assets of the user according to the full logs of the media assets, determine the target recommendation media assets by combining the associated preference media assets of the target preference media assets, recommend the media assets to the user by mining the potential interests of the user, and improve the film watching experience of the user.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 illustrates a schematic diagram of an operational scenario between a display device and a control apparatus according to some embodiments;
fig. 2 shows a block configuration diagram of the control device 100 according to some embodiments;
fig. 3 illustrates a hardware configuration block diagram of the display apparatus 200 according to some embodiments;
fig. 4 shows a software configuration block diagram of the display device 200 according to some embodiments;
FIG. 5 illustrates a global interface diagram of a display device according to some embodiments;
FIG. 6 illustrates a display device configuration flow diagram according to some embodiments;
FIG. 7 illustrates a display device search interface schematic according to some embodiments;
FIG. 8 illustrates a flow diagram for obtaining a full volume journal of assets, according to some embodiments;
FIG. 9 illustrates a display device configuration flow diagram according to some embodiments;
FIG. 10 illustrates a first play log diagram according to some embodiments;
FIG. 11 illustrates a display device configuration flow diagram according to some embodiments;
FIG. 12 illustrates a media asset recommendation interface in accordance with some embodiments.
Detailed Description
To make the purpose and embodiments of the present application clearer, the following will clearly and completely describe the exemplary embodiments of the present application with reference to the attached drawings in the exemplary embodiments of the present application, and it is obvious that the described exemplary embodiments are only a part of the embodiments of the present application, and not all of the embodiments.
It should be noted that the brief descriptions of the terms in the present application are only for the convenience of understanding the embodiments described below, and are not intended to limit the embodiments of the present application. These terms should be understood in their ordinary and customary meaning unless otherwise indicated.
The terms "first," "second," "third," and the like in the description and claims of this application and in the above-described drawings are used for distinguishing between similar or analogous objects or entities and not necessarily for describing a particular sequential or chronological order, unless otherwise indicated. It is to be understood that the terms so used are interchangeable under appropriate circumstances.
The terms "comprises" and "comprising," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a product or apparatus that comprises a list of elements is not necessarily limited to all elements expressly listed, but may include other elements not expressly listed or inherent to such product or apparatus.
The term "module" refers to any known or later developed hardware, software, firmware, artificial intelligence, fuzzy logic, or combination of hardware and/or software code that is capable of performing the functionality associated with that element.
Fig. 1 is a schematic diagram of an operation scenario between a display device and a control apparatus according to an embodiment. As shown in fig. 1, a user may operate the display apparatus 200 through the smart device 300 or the control device 100.
In some embodiments, the control apparatus 100 may be a remote controller, and the communication between the remote controller and the display device includes an infrared protocol communication or a bluetooth protocol communication, and other short-distance communication methods, and controls the display device 200 in a wireless or wired manner. The user may input a user instruction through a key on a remote controller, voice input, control panel input, etc., to control the display apparatus 200.
In some embodiments, the smart device 300 (e.g., mobile terminal, tablet, computer, laptop, etc.) may also be used to control the display device 200. For example, the display device 200 is controlled using an application program running on the smart device.
In some embodiments, the display device 200 may also be controlled in a manner other than the control apparatus 100 and the smart device 300, for example, the voice command control of the user may be directly received by a module configured inside the display device 200 to obtain a voice command, or may be received by a voice control device provided outside the display device 200.
In some embodiments, the display device 200 is also in data communication with a server 400. The display device 200 may be allowed to be communicatively connected through a Local Area Network (LAN), a Wireless Local Area Network (WLAN), and other networks. The server 400 may provide various contents and interactions to the display apparatus 200. The server 400 may be a cluster or a plurality of clusters, and may include one or more types of servers.
Fig. 2 exemplarily shows a block diagram of a configuration of the control apparatus 100 according to an exemplary embodiment. As shown in fig. 2, the control device 100 includes a controller 110, a communication interface 130, a user input/output interface 140, a memory, and a power supply. The control apparatus 100 may receive an input operation instruction from a user and convert the operation instruction into an instruction recognizable and responsive by the display device 200, serving as an interaction intermediary between the user and the display device 200.
Fig. 3 shows a hardware configuration block diagram of the display apparatus 200 according to an exemplary embodiment.
In some embodiments, the display apparatus 200 includes at least one of a tuner demodulator 210, a communicator 220, a detector 230, an external device interface 240, a controller 250, a display 260, an audio output interface 270, a memory, a power supply, a user interface.
In some embodiments the controller comprises a processor, a video processor, an audio processor, a graphics processor, a RAM, a ROM, a first interface to an nth interface for input/output.
In some embodiments, the display 260 includes a display screen component for presenting a picture, and a driving component for driving an image display, a component for receiving an image signal from the controller output, performing display of video content, image content, and a menu manipulation interface, and a user manipulation UI interface.
In some embodiments, the display 260 may be a liquid crystal display, an OLED display, and a projection display, and may also be a projection device and a projection screen.
In some embodiments, communicator 220 is a component for communicating with external devices or servers according to various communication protocol types. For example: the communicator may include at least one of a Wifi module, a bluetooth module, a wired ethernet module, and other network communication protocol chips or near field communication protocol chips, and an infrared receiver. The display apparatus 200 may establish transmission and reception of control signals and data signals with the external control apparatus 100 or the server 400 through the communicator 220.
In some embodiments, the user interface may be configured to receive control signals for controlling the apparatus 100 (e.g., an infrared remote control, etc.).
In some embodiments, the detector 230 is used to collect signals of the external environment or interaction with the outside. For example, detector 230 includes a light receiver, a sensor for collecting ambient light intensity; alternatively, the detector 230 includes an image collector, such as a camera, which may be used to collect external environment scenes, attributes of the user, or user interaction gestures, or the detector 230 includes a sound collector, such as a microphone, which is used to receive external sounds.
In some embodiments, the external device interface 240 may include, but is not limited to, the following: high Definition Multimedia Interface (HDMI), analog or data high definition component input interface (component), composite video input interface (CVBS), USB input interface (USB), RGB port, and the like. The interface may be a composite input/output interface formed by the plurality of interfaces.
In some embodiments, the tuner demodulator 210 receives broadcast television signals via wired or wireless reception, and demodulates audio/video signals, such as EPG data signals, from a plurality of wireless or wired broadcast television signals.
In some embodiments, the controller 250 and the modem 210 may be located in different separate devices, that is, the modem 210 may also be located in an external device of the main device where the controller 250 is located, such as an external set-top box.
In some embodiments, the controller 250 controls the operation of the display device and responds to user operations through various software control programs stored in memory. The controller 250 controls the overall operation of the display apparatus 200. For example: in response to receiving a user command for selecting a UI object to be displayed on the display 260, the controller 250 may perform an operation related to the object selected by the user command.
In some embodiments, the object may be any one of selectable objects, such as a hyperlink, an icon, or other actionable control. Operations related to the selected object are: displaying an operation connected to a hyperlink page, document, image, or the like, or performing an operation of a program corresponding to the icon.
In some embodiments the controller comprises at least one of a Central Processing Unit (CPU), a video processor, an audio processor, a Graphics Processing Unit (GPU), a RAM Random Access Memory (RAM), a ROM (Read-Only Memory), a first to nth interface for input/output, a communication Bus (Bus), and the like.
A CPU processor. For executing operating system and application program instructions stored in the memory, and executing various application programs, data and contents according to various interactive instructions receiving external input, so as to finally display and play various audio-video contents. The CPU processor may include a plurality of processors. E.g. comprising a main processor and one or more sub-processors.
In some embodiments, a graphics processor for generating various graphics objects, such as: icons, operation menus, user input instruction display graphics, and the like. The graphic processor comprises an arithmetic unit, which performs operation by receiving various interactive instructions input by a user and displays various objects according to display attributes; the system also comprises a renderer for rendering various objects obtained based on the arithmetic unit, wherein the rendered objects are used for being displayed on a display.
In some embodiments, the video processor is configured to receive an external video signal, and perform video processing such as decompression, decoding, scaling, noise reduction, frame rate conversion, resolution conversion, and image synthesis according to a standard codec protocol of the input signal, so as to obtain a signal that can be displayed or played on the direct display device 200.
In some embodiments, the video processor includes a demultiplexing module, a video decoding module, an image synthesis module, a frame rate conversion module, a display formatting module, and the like. The demultiplexing module is used for demultiplexing the input audio and video data stream. And the video decoding module is used for processing the video signal after demultiplexing, including decoding, scaling and the like. And the image synthesis module is used for carrying out superposition mixing processing on the GUI signal input by the user or generated by the user and the video image after the zooming processing by the graphic generator so as to generate an image signal for display. And the frame rate conversion module is used for converting the frame rate of the input video. And the display formatting module is used for converting the received video output signal after the frame rate conversion, and changing the signal to be in accordance with the signal of the display format, such as an output RGB data signal.
In some embodiments, the audio processor is configured to receive an external audio signal, decompress and decode the received audio signal according to a standard codec protocol of the input signal, and perform noise reduction, digital-to-analog conversion, and amplification processing to obtain an audio signal that can be played in the speaker.
In some embodiments, a user may enter user commands on a Graphical User Interface (GUI) displayed on display 260, and the user input interface receives the user input commands through the Graphical User Interface (GUI). Alternatively, the user may input the user command by inputting a specific sound or gesture, and the user input interface receives the user input command by recognizing the sound or gesture through the sensor.
In some embodiments, a "user interface" is a media interface for interaction and information exchange between an application or operating system and a user that enables conversion between an internal form of information and a form that is acceptable to the user. A commonly used presentation form of the User Interface is a Graphical User Interface (GUI), which refers to a User Interface related to computer operations and displayed in a graphical manner. It may be an interface element such as an icon, a window, a control, etc. displayed in the display screen of the electronic device, where the control may include a visual interface element such as an icon, a button, a menu, a tab, a text box, a dialog box, a status bar, a navigation bar, a Widget, etc.
In some embodiments, a system of a display device may include a Kernel (Kernel), a command parser (shell), a file system, and an application program. The kernel, shell, and file system together make up the basic operating system structure that allows users to manage files, run programs, and use the system. After power-on, the kernel is started, kernel space is activated, hardware is abstracted, hardware parameters are initialized, and virtual memory, a scheduler, signals and interprocess communication (IPC) are operated and maintained. And after the kernel is started, loading the Shell and the user application program. The application program is compiled into machine code after being started, and a process is formed.
As shown in fig. 4, the system of the display device may include a Kernel (Kernel), a command parser (shell), a file system, and an application program. The kernel, shell, and file system together make up the basic operating system structure that allows users to manage files, run programs, and use the system. After power-on, the kernel is started, kernel space is activated, hardware is abstracted, hardware parameters are initialized, and virtual memory, a scheduler, signals and interprocess communication (IPC) are operated and maintained. And after the kernel is started, loading the Shell and the user application program. The application program is compiled into machine code after being started, and a process is formed.
As shown in fig. 4, the system of the display device is divided into three layers, i.e., an application layer, a middleware layer and a hardware layer from top to bottom.
The Application layer mainly includes common applications on the television and an Application Framework (Application Framework), wherein the common applications are mainly applications developed based on the Browser, such as: HTML5 APPs; and Native APPs (Native APPs);
an Application Framework (Application Framework) is a complete program model, and has all basic functions required by standard Application software, such as: file access, data exchange, and interfaces to use these functions (toolbars, status lists, menus, dialog boxes).
Native APPs (Native APPs) may support online or offline, message push, or local resource access.
The middleware layer comprises various television protocols, multimedia protocols, system components and other middleware. The middleware can use basic service (function) provided by system software to connect each part of an application system or different applications on a network, and can achieve the purposes of resource sharing and function sharing.
The hardware layer mainly comprises an HAL interface, hardware and a driver, wherein the HAL interface is a unified interface for butting all the television chips, and specific logic is realized by each chip. The driving mainly comprises: audio drive, display driver, bluetooth drive, camera drive, WIFI drive, USB drive, HDMI drive, sensor drive (like fingerprint sensor, temperature sensor, pressure sensor etc.) and power drive etc..
FIG. 5 illustrates a display device global interface diagram in accordance with an exemplary embodiment. As shown in fig. 5, the user interface of the display device may be presented as a plurality of different types of UI layouts according to user operations. For example, the user interface may include a global interface that is activated upon power-up of the display device as shown in fig. 5, which may be displayed in a display of the display device. The global interface may include a recommended content area. The recommended content area is used for configuring TAB columns of different classifications; media resources, special subjects and the like can be selected and configured in the column; the media assets can be any type of audio, video, and/or image data received from any type of media content source or data source. The media resources can comprise services with media resource contents, such as 2D movies, education courses, tourism, 3D, 360-degree panorama, live broadcast, 4K movies, program application, games, tourism and the like, and the columns can select different template styles and can support simultaneous recommendation and arrangement of the media resources and the titles.
In some embodiments, the display device and the server may be in data communication via a plurality of communication means. The server may want the display device to provide various content and interactions. The display device receives software Program updates, or accesses a remotely stored digital media library by sending and receiving information, and Electronic Program Guide (EPG) interactions. The server may be a cluster or a plurality of clusters. One or more types of servers may be included. Other network service contents such as video on demand and advertisement service are provided through the server. For example, the server may provide 2D movies, program applications, and the like to the display device. The media assets can be news clients, social network applications and video platform clients. The media assets can select a plurality of media assets from media asset resources on the network as recommended media assets, and provide the recommended media assets to the user for use.
In the existing method for determining recommended media assets from media asset resources on a network, the considered factors comprise: freshness of the assets, popularity of the assets, click-through rate of the assets, quality of the assets, relevance between content of the assets and user interest, and the like. For example, if the quality of the asset indicates that the asset is from an entity with high authority and/or the asset has high definition, then the asset is more likely to be selected as a recommended asset.
However, the following problems may occur in the process of the user viewing the media assets:
in a recommendation media asset mode taking the freshness of the media assets as a main consideration factor, taking the currently updated media assets as 'outburst certain' as an example; the user may only browse the 'suddenly-certain' video randomly from the recommended content area, and does not subjectively wish to browse the 'suddenly-certain' video; after the display equipment finds that the user browses the 'sudden' video, the type of media assets are continuously recommended to the user, and the nature of the type of media assets is not the media assets which are interesting to the user, so that the user may waste time to watch media asset contents which are not interesting.
In order to solve the above problems, the present application shows a display device, which can recommend media assets to a user by mining potential interests of the user, and improve viewing experience of the user.
The display device provided in the embodiment of the present application may be a mobile phone, a tablet computer, a desktop computer, a laptop computer, a notebook computer, an ultra-mobile personal computer (UMPC), a handheld computer, a netbook, a Personal Digital Assistant (PDA), a wearable electronic device, a virtual display device, or other display devices, and the specific type of the display device is not limited in any way in the embodiment of the present application.
The present application shows a display device comprising: a display; a controller configured to perform steps S601-S605 as shown in FIG. 6;
step S601, receiving a search instruction input by a user.
After the display device is powered on, the global interface shown in fig. 5 is started, a status bar may also be set at the top of the recommended content area of the global interface, and a plurality of display controls may be set in the status bar, including time, network connection status, electric quantity, and other commonly used options. The content contained in the status bar may be customized by the user, for example, content such as weather, user's head portrait, etc. may be added to the status bar. The top of the recommended content area of the global interface can also be provided with a timing control, a collection control, a search control, a message control and the like. Different controls may be selected by the user to perform the corresponding functions. When the user clicks the search control, the controller receives a search instruction input by the user to display a search interface.
In the process of data interaction with the display device, a user can operate the display device through the mobile terminal or the remote controller. The mobile terminal or the remote controller can communicate with the display device in a direct wireless connection mode or in a non-direct connection mode. That is, in some embodiments, the mobile terminal and the remote controller may communicate with the display device via direct connection, such as bluetooth, infrared, and the like. When the control instruction is sent, the mobile terminal and the remote controller can directly send the control instruction data to the display device through Bluetooth or infrared. For example, the control instruction in the present application is a search instruction, and a user may input the search instruction in the manner shown in this embodiment.
In other embodiments, the mobile terminal or the remote controller may also access the same wireless network as the display device through the wireless router to establish indirect connection communication with the display device through the wireless network. When the control instruction is sent, the mobile terminal or the remote controller can send the control instruction data to the wireless router first, and then the control instruction data is forwarded to the display device through the wireless router.
FIG. 7 illustrates a display device search interface diagram according to an exemplary embodiment. As shown in fig. 7, the display device search interface includes a search bar, an input area, an associated content area; the user may operate the display device through the control means or smart device to click on the full keyboard/T9 keyboard at the input area to enter pinyin, text, english, or initials in the search bar to search for media assets; the associated content area associates according to the content input in the search bar, for example, the user wants to search for "suddenly certain"; therefore, the initial "TM" of "pop-up" is typed in the search bar, and the associated content area displays the associated content according to "TM", such as "pop-up", "listen to a certain utterance", "someday", "first word D", "escape a certain rabbit", "jump a certain video", "jump a certain child", "someday", "certain action of day", and so on, which are played with the initial "TM". The user can click on the assets searched by his/her subjective intention in the associated content area to view the assets.
It should be noted that the viewing interest of the user to the media assets searched by the subjective intention is far stronger than the viewing interest of the media assets recommended by the random browsing.
Step S602, responding to the searching instruction, and acquiring a full-amount log of the media assets.
In some embodiments, the asset total log is used for recording various data operations and use conditions of the user on the display device, and the asset total log is used for recording a user ID, an asset name, asset playing times, asset playing duration, asset playing type and the like. The full media asset log comprises: media resource searching log and media resource playing log; the media asset searching log is used for recording the logs of the media assets searched by the user; the media asset playing log is used for recording the playing media assets of the user. In a specific implementation, for example, taking the funding during 1/2022 to 1/5/2022 as an example, the user "123" is, at 1/8/2022: 00 click 'shou' from the recommended content area of the global interface to watch the first set of 'shou' with the playing time of the media assets being 0: 00-0: 55; the playing behavior is recorded in a media asset playing log; user "123" in 2022, 1 month, 2 days 8: 00 searching and watching the second set of 'one hit' through the search interface, wherein the playing time of the media asset is 0: 00-0: 15; at this time, the search behavior is recorded in the media asset search log, and the media asset play behavior is recorded in the media asset play log.
It should be noted that the full amount of assets log may store the log within a preset time period, for example, the preset time period is set to 30 days, and then the full amount of assets log may store all the historical search logs and all the historical play logs within 30 days. The preset time period in the present application can be set according to actual use conditions, and is not limited to setting the preset time period to 30 days.
FIG. 8 is a flow diagram illustrating a process for obtaining a full-volume journal of assets, according to an example embodiment. As shown in fig. 8, in the process of obtaining the full-volume journal of the media asset, the display device includes a journal reporting system and a journal storage system; when the controller receives a search instruction or a play instruction sent by a user, the controller reports the formed medium asset search log and the medium asset play log to a log storage system (such as a data warehouse tool (hive)) through a log reporting system (such as a high-throughput distributed publish-subscribe message system (kafka)); and the controller acquires the full-amount log of the media assets from the log storage system. Wherein a high-throughput distributed publish-subscribe messaging system can handle all action flow data that a user operates in a display device, which data is typically addressed by handling logs and log aggregations due to throughput requirements; the data warehouse tool can be used for data extraction, transformation and loading, and can store, inquire and analyze large-scale data.
Step S603, determining a first play log and a second play log according to the medium asset total log; the first play log is a log of a user playing media assets after searching; the second play log is a log of the media assets played by the user without searching;
the controller performs the step of determining a first play log and a second play log from the full volume of assets log, and is further configured to:
acquiring a media resource search log;
determining a first play log according to the media asset search log;
and determining the logs except the first play log in the media asset play logs as a second play log.
It should be noted that the first play log and the second play log are both part of the media asset play log; wherein the media asset content in the first play log corresponds to the media asset search log. For example, taking the medium during 1/2022 to 1/5/2022 as an example, user "123" is at 8: 00 search for "TM" in the search interface; and selecting the 'suddenly-pointed' which the user subjectively wants to play according to the association content of the 'TM' for playing. Wherein, the searching behavior of the user searching TM is recorded in the media resource searching log; recording the playing behavior of playing 'suddenly a certain' by the user in a first playing log; the media assets played without the user search may be watched by the user through the home page recommendation by clicking randomly, and the playing behavior of the media assets is recorded in the second play log.
It should be noted that the first play log and the second play log have no obvious region division of system configuration in the media asset play log; in the specific acquisition process, the media asset play logs are screened according to the corresponding relation between the media asset search logs and the first play log.
Step S604, determining target preference media resources according to first preference of the first media resources in the first play log and second preference corresponding to the first media resources in the second play log; wherein, the first media asset is the media asset played by the user after searching; the first preference is a numerical value used for representing the subjective preference of the user; the second preference is a numerical value used for representing the passive preference of the user;
in some embodiments, the controller performs the step of determining the target preferred asset from the first play log and the second play log, and is further configured to perform steps S901-S904 as shown in fig. 9;
step S901, acquiring a first preference of a first media asset from a first play log;
preference is a rational and inclined choice made by a user when considering goods and services, and is a comprehensive result of cognitive, psychological and rational economic tradeoffs of the user. The user can assist in selecting relevant decisions by preference. The degree of preference of the user to select relevant decisions may be approximated by a numerical value. Taking the media assets selected by the user for watching as an example, the media assets played by the user after searching can be regarded as the media assets selected by the subjective preference of the user, and the media assets played by the user through the first page recommendation click can be regarded as the media assets selected by the passive preference of the user, namely the watching desire of the user on the media assets is not strong with the media assets selected by the subjective preference.
In some embodiments, the controller performs the step of obtaining the first preference of the first asset from the first play log, further configured to:
acquiring a forward incentive value of a first medium asset, the watching times of the first medium asset in a preset time period, the duration of watching the first medium asset every time in the preset time period and the total duration of watching the first medium asset in the preset time period from a first play log;
calculating a first preference of the first medium asset according to a forward excitation value of the first medium asset, the watching times of the first medium asset in a preset time period, the time length of watching the first medium asset every time in the preset time period and the total time length of watching the first medium asset in the preset time period; the formula is as follows:
Figure BDA0003485784020000081
wherein A represents a first asset; p is a radical ofs(A) Representing a first preference of a first asset; a (a > 1) represents a forward incentive value for the first asset; n represents the watching times of the first media asset in a preset time period; t (i) represents the time length of the ith viewing of the first media asset in a preset time period; and T (i) represents the total time length of the ith viewed first medium asset in a preset time period.
It should be noted that, the step of obtaining the first preference of the first asset from the first play log is used to numerically evaluate the subjective preference degree of the user for the assets played by the user after the search, and therefore, the step of obtaining the first preference of the first asset from the first play log is not limited to calculating the first preference by a formula shown in the above embodiment; the first preference may also be calculated in a number of ways, such as a preference mining algorithm, a preference matrix, etc.
In some embodiments, the controller performs the step of obtaining the first preference of the first asset from the first play log, and may further adopt a preference mining algorithm by:
acquiring the access times and the access frequency of the first media asset and the weighted value of the access flow in the first play log from the first play log;
comparing the access times, the access frequency and the access flow with the weight values preset by each index;
and if the weight value of at least one index is larger than the corresponding preset weight value, acquiring a first preference of the first medium resource according to the weight value of each index. In some embodiments, the controller performs the step of obtaining the first preference of the first asset from the first play log, and may further adopt a preference matrix by:
establishing a preference matrix according to the access times, the access frequency and the weighted value of the access flow of the first media asset in the first play log;
and acquiring a first preference of the first media asset according to the preference matrix.
In the above embodiment, the setting of the index may be set according to actual conditions, and the number of set indices may be changed to take account of the accuracy and simplicity of calculation.
Fig. 10 illustrates a first play log diagram according to an exemplary embodiment. As shown in fig. 10, taking the medium resources from 1/2022 to 1/30/2022 as an example, the first play log includes: user "123" in 2022, 1 month, 1 day 8: 00 playing the first set of 'suddenly playing' for 15 minutes; user "123" in 2022, 1 month, 2 days 8: 00 playing the second set of 'suddenly playing' for 15 minutes; user "456" at 1 month, 3 days, 8 in 2022: 00 playing a first set of 'a certain day' for 15 minutes; user "456" at 1 month, 4 days, 8 in 2022: 00 playing a second set of 'someday' with a playing time of 15 minutes … …, and sequentially obtaining first playing logs within 30 days.
It should be noted that, in the process of obtaining the user preference, a small amount of data cannot achieve a good calculation result; a better calculation result can be obtained by counting data within a certain time period, for example, a preset time period may be set to 30 days to obtain a first play log within 30 days for calculating user preferences. The preset time period includes, but is not limited to, being set to 30 days, and the preset time period can be set according to actual conditions when the system memory of the display device allows.
Meanwhile, in the process of acquiring the user preference, the controller can screen the first play log according to a plurality of indexes such as the user ID, the media asset play date and the like. For example, the controller may obtain the user preference of the user "123" or the user preference of the user "456" according to the difference of the user IDs; and different media assets can be recommended to different users on the same display equipment according to user preferences.
It should be noted that the first play log includes at least one first media asset; the controller can obtain the first preference of each first medium resource for calculation; the controller can simultaneously calculate the first preference of at least one first medium asset under the condition that the system consumption allows, and can also calculate the first preference of the first medium asset played recently according to the time sequence. For example, the first play log includes a play log of "hit" and a play log of "hit in the day"; under the condition that the system consumption allows, the playing logs of two media resources can be simultaneously obtained, and two first preferences can be simultaneously calculated; under the condition that the system is not allowed to consume, if the 'outburst' is the media asset played recently, the first preference of the 'outburst' is calculated firstly; the first preference for "someday" is then calculated.
In the above embodiment, the first medium asset is taken as "outburst certain" as an example; setting a forward incentive value of the first asset to be 2; the number of "pop" views within 30 days was 20; wherein, the duration of watching the media assets from the 1 st time to the 20 th time is respectively as follows: 15 minutes, 20 minutes, 30 minutes, … …, 20 minutes; the time length of the first set of 'outburst' is 45 minutes, and the time length of the second set of 'outburst' is 42 minutes; then when the first asset viewed for the first time is a first set of 'pop' assets, the total duration of the corresponding first asset is 45 minutes. And after the corresponding data meeting the formula in the first play log is acquired, the first preference of the first media asset can be acquired according to the formula.
Step S902, obtaining a second preference corresponding to the first media asset from a second play log;
it should be noted that not only the media assets played by the user through the home page recommendation click can be regarded as the media assets selected by the user in a passive preference manner; the media assets played by the user through the playing modes of history record, collection page, user home page waterfall flow, user detail page jump and the like can also be regarded as media assets selected by the user in a passive preference mode.
In some embodiments, the controller performs the step of retrieving a second preference corresponding to the first asset from a second play log, further configured to:
acquiring the time length for watching the first media assets and the total time length of the first media assets from the second play log;
and determining the ratio of the time length for watching the first medium asset to the total time length of the first medium asset as the second preference.
In some embodiments, for example, the media assets during the period from 1/2022 to 30/1/2022, the second play log comprises: user "123" in 2022, 1 month, 1 day 12: 00 playing the first set of 'suddenly playing' for 20 minutes; user "123" 12 at 1 month 2 day 2022: 00 playing the second set of 'suddenly playing' for 20 minutes; … …, respectively; wherein the time length of the first set of 'one-touch' is 45 minutes, and the time length of the second set of 'one-touch' is 42 minutes; … …, respectively; the duration of viewing the first asset is 20+20+ … …; the total duration of the first medium resource is as follows: 45+42+ … …; and determining the ratio of the time length for watching the first medium asset to the total time length of the first medium asset as the second preference.
It should be noted that the step of obtaining the second preference of the first asset from the second play log is used to numerically evaluate the passive preference degree of the user for the assets played by the user without searching, and therefore, the step of obtaining the second preference of the first asset from the second play log is not limited to determining the second preference by calculating the ratio of the time length for viewing the first asset to the total time length of the first asset shown in the above embodiment, and a preference mining algorithm and a preference matrix used for calculating the first preference may also be used. And step S903, calculating a third preference of the first media asset according to the first preference and the second preference, wherein the third preference is used for representing the overall preference of the user.
In some embodiments, the controller performs the step of calculating a third preference for the first asset based on the first preference and the second preference, and is further configured to:
obtaining a first product of the first preference and the subjective weight and a second product of the second preference and the passive weight;
determining a sum of the first product and the second product as a third preference of the first asset;
in a specific implementation, the above embodiment is expressed in a formula form as:
p(A)＝ps(A)*ps+pt(A)*pt；
wherein p (A) represents a third preference for the first asset; p is a radical ofs(A) Representing a first preference of a first asset; p is a radical oft(A) A second preference representing the first asset; p is a radical ofsRepresenting subjective weights; p is a radical oftRepresenting passive weights.
It should be noted that, the sum of the subjective weight and the passive weight is 1, and the subjective weight is a product of a ratio of the number of times of viewing the first asset in the preset time period in the first play log to the total number of times of viewing the first asset in the asset play log and a first constant.
In some embodiments, the subjective weight is calculated in a formula as:
Figure BDA0003485784020000111
wherein p issRepresenting subjective weights; m represents a first constant, the default value of the numerical value of m is 1, and the numerical value can be set according to actual conditions in specific implementation.
For example, take the medium resources from 1/2022 to 1/30/2022 as an exampleThe watching times of the first media assets in the first play log within a preset time period are 15; the total watching times of the first media assets in the media asset playing log are 30; the value of m is set to 1; at this time, p s1/2; since the sum of the subjective weight and the passive weight is 1, p is the same as the sum of the subjective weight and the passive weight t1/2; it should be noted that m is used to adjust the magnitude of the subjective weight.
It should be noted that, a third preference of the first asset is calculated according to the first preference and the second preference, and the third preference is used for numerically evaluating the overall preference degree of the user on the first asset played by the user; the overall preference degree is obtained by integrating the first preference and the second preference of the first asset, and therefore, the step of calculating the third preference of the first asset according to the first preference and the second preference is not limited to the manner shown in the formula of the above embodiment, and other algorithms can be used to integrate the first preference and the second preference to obtain the value of the third preference. And step S904, when the third preference is within the first threshold value range, determining the first asset as the target preference asset according to the third preference.
In some embodiments, when the third preference of the first media asset is obtained, the overall preference degree of the user for the first media asset may be determined, and the first media asset is determined as the target preference media asset. In a specific implementation, since the first play log includes at least one first asset, the first asset includes: the third preference of "outburst" is 10, which can be obtained through the calculation in the above embodiments; a third preference for "someday" is 5; a third preference for "Tiantu" is 1; when the third preference is within the first threshold, the controller determines the target preference asset according to a preference level of the third preference. For example, if the first threshold is greater than 6, only "one" is regarded as the target preference asset, and the numerical value of the third preference listed in this embodiment is only used to illustrate the preference degree when it needs to be described, and is not an actual numerical value. Step S605, the target preference media asset and the associated preference media asset of the target preference media asset are determined as target recommendation media assets.
In some embodiments, the controller performs the step of determining the target preference asset and the associated preference asset of the target preference asset as the target recommendation asset, and is further configured to perform steps S1101-S1104 as shown in fig. 11;
step S1101, acquiring a second medium resource; the second media asset is provided by a media asset provider;
step S1102, calculating the similarity degree of the second media asset and the target preference media asset;
in some embodiments, the controller performs the step of calculating a degree of similarity of the second asset to the target preferred asset, further configured to:
acquiring a first label vector of a target preference medium resource and a second label vector of a second medium resource;
calculating the similarity degree of the second media assets and the target preference media assets according to the first label vector and the second label vector; the formula is as follows:
Figure BDA0003485784020000112
wherein A represents a target preference asset; b represents a second medium asset; sim (A, B) represents the degree of similarity of the second asset to the target preference asset;
Figure BDA0003485784020000113
representing a first tag vector;
Figure BDA0003485784020000114
representing a second tag vector.
Labels are often arranged in the existing media asset application to indicate the characteristics of media assets; the media asset tag can be used for indicating the type of the media asset, the showing time of the media asset, the cast of the media asset actors, the media asset provider and the like; for example, the label of video "pop a" may include: "City", "showing in 2021", "Yan a", "love an art". The label vector is a feature vector, and the specific statistical method comprises the following steps: extracting all media assets containing the label in the Internet; performing word segmentation, feature word extraction and word frequency statistics on the extracted media assets; and performing related sequencing on the characteristic words, and taking a certain number of words as label vectors. The number of the word extraction can be set according to requirements. Further, a tag vector may be understood as a vector corresponding to a specific value, and the specific content of the value may be specified by a user.
For example, taking the target preference medium as "pop certain", the feature vector of the label "Yan certain" may be a first label vector; taking the associated preference media as "wulin certain pass" as an example, the label also includes "Yan certain", and the feature vector of the label "Yan certain" may be a second label vector. And when the target preference media asset and the associated preference media asset only comprise one tag vector, the similarity degree of the target preference media asset and the associated preference media asset is 1. However, in order to ensure the accuracy of the discrimination, a plurality of labels are often arranged in the medium resources; namely, the target preference asset comprises at least one first tag vector; the associated preference asset includes at least one tag vector. In the process of calculating the similarity degree, the similarity degree needs to be calculated by combining a plurality of label vectors.
Step S1103, judging whether the similarity degree is within a second threshold range; if the similarity degree is within the range of a second threshold value, determining the second media asset as the associated preference media asset;
if the degree of similarity is not within the second threshold, the second asset is not the associated preference asset.
After the target preference media assets of the user are determined, indicating that the user is interested in the media assets of the type; therefore, the associated preference assets with a certain similarity degree to the type of assets can be recommended to the user; the similarity degree of the target preference media assets and the associated preference media assets can be judged numerically; in the specific implementation, taking the determined target preference media asset as 'one outburst', if the similarity degree between the 'one name of people' and the 'one outburst' of the associated preference media asset is 0.8; the similarity degree of "somebody a day" and "outburst" is 0.1; the similarity degree of "Tian-somewhat" and "Ju-somewhat" is 0.2; setting the second threshold to be greater than 0.75; then only the associated preference asset "on behalf of people" is "outburst". The second threshold value can be set according to the recommended actual condition according to the recommended quantity.
In some embodiments, the controller performs the step of determining the target preferred asset and the associated preferred asset of the target preferred asset as the target recommended asset, and is further configured to:
when the second media asset is determined to be the associated preference media asset, acquiring a fourth preference of the second media asset according to the similarity degree; the fourth preference obtaining method comprises the following steps:
Figure BDA0003485784020000121
wherein p (B) is a fourth preference for the second asset; p (A) a third preference for the first asset; sim (a, B) is the similarity degree of the first asset and the second asset (i.e. the similarity degree of the associated preference assets of the target preference asset and the target preference asset); q is all the media assets in the media asset play log;
and determining the target preference media assets and the associated preference media assets of the target preference media assets as target recommendation media assets according to the third preference and the fourth preference.
FIG. 12 illustrates a schematic diagram of a media asset recommendation interface in accordance with an exemplary embodiment. As shown in fig. 12, the conventional media asset recommendation interface includes: a fine recommendation area 1, a historical recommendation area 2, and other recommendation areas 3; wherein, the carefully-selected recommendation area 1 is the media assets screened out according to the comprehensive factors such as showing time, browsing amount and the like; the historical recommendation area 2 is an area for recommending media assets watched according to the history of the user, and the other recommendation areas 3 are areas for recommending the media assets according to the media asset classification. For example, the carefully chosen recommendation area 1 shows the latest movie "a certain and god light" and the historical recommendation area 2 shows the "a certain" viewed in history; other recommendation area 3 shows "some dragon"; the existing display mode may not be enough to fit the subjective interest of the user. A
In some embodiments, the target preference media assets and the associated preference media assets need to be distributed according to different scenes, and after the target preference media assets and the associated preference media assets are determined according to the method disclosed by the application, a media asset recommendation interface shown in fig. 12 can be optimized, so that the media assets recommended by the media asset recommendation interface are more suitable for the interests of the user; if the 'outburst' is determined to be the target preference asset when the 'outburst' is displayed in the historical recommendation area 2, the associated preference asset 'a certain name of people' can be displayed in the fine recommendation area 1 to improve the viewing interest of the user, and in some embodiments, the application also shows a recommendation method for the assets, and the method comprises the following steps:
acquiring a full-amount log of the media assets;
determining a first play log and a second play log according to the full-volume log of the media assets; the first play log is a log of the media assets played by the user through searching; the second play log is a log of the media assets played by the user without searching;
determining target preference media assets according to the first play log and the second play log;
and determining the target preference media asset and the associated preference media asset of the target preference media asset as the target recommendation media asset.
It should be understood that specific implementation manners of the steps in the media asset recommendation method may refer to the foregoing display device embodiments, and are not described herein again. According to the embodiment, the target preference media assets of the user can be obtained according to the full-amount logs of the media assets, the target recommendation media assets are determined by combining the associated preference media assets of the target preference media assets, the media assets can be recommended to the user by mining the potential interest of the user, and the film watching experience of the user is improved.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the present application, and not for limiting the same; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present application.
The foregoing description, for purposes of explanation, has been presented in conjunction with specific embodiments. However, the illustrative discussions above are not intended to be exhaustive or to limit the embodiments to the precise forms disclosed above. Many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles and the practical application, to thereby enable others skilled in the art to best utilize the embodiments and various embodiments with various modifications as are suited to the particular use contemplated.

Claims (10)

1. A display device, comprising:
a display;
a controller configured to:
receiving a search instruction input by a user;
responding to the search instruction, and acquiring a full-amount log of the media assets;
determining a first play log and a second play log according to the media asset total log; the first play log is a log of a user playing media assets after searching; the second play log is a log of the media assets played by the user without searching;
determining target preference media resources according to first preference of first media resources in the first play log and second preference corresponding to the first media resources in the second play log; wherein, the first media asset is the media asset played by the user after searching; the first preference is a numerical value used for representing subjective preference of the user; the second preference is a numerical value used for representing the passive preference of the user; and determining the target preference media asset and the associated preference media asset of the target preference media asset as target recommendation media asset.
2. The display device of claim 1, wherein the full-volume journal of assets comprises: media resource searching log and media resource playing log; the media asset searching log is used for recording the logs of the media assets searched by the user; the media asset playing log is used for recording the media asset played by the user;
the controller performs the step of determining a first play log and a second play log from the full volume of assets log, further configured to:
acquiring a media resource search log;
determining the first play log according to the media asset search log;
and determining the logs in the media asset play logs except the first play log as a second play log.
3. The display device of claim 1, wherein the controller performs the step of determining a target preferred asset based on a first preference of the first asset in the first play log and a second preference corresponding to the first asset in the second play log, and is further configured to:
acquiring a first preference of a first media asset from the first play log;
acquiring a second preference corresponding to the first media asset from the second play log;
calculating a third preference of the first media asset according to the first preference and the second preference, wherein the third preference is a numerical value used for representing the overall preference of the user;
and when the third preference is within a first threshold value range, determining the first media asset as a target preference media asset according to the third preference.
4. The display device of claim 3, wherein the controller performs the step of determining the target preference asset and the associated preference asset of the target preference asset as a target recommendation asset, and is further configured to:
acquiring a second medium resource; the second media asset is provided by a media asset provider;
calculating the similarity degree of the second media assets and the target preference media assets;
judging whether the similarity degree is within a second threshold value range;
and if the similarity degree is within a second threshold value range, determining the second media asset as the associated preference media asset.
5. The display device of claim 4, wherein the controller performs the step of obtaining the first preference of the first asset from the first play log, and is further configured to:
acquiring a forward incentive value of the first media asset, the watching times of the first media asset in a preset time period, the duration of watching the first media asset each time in the preset time period and the total duration of watching the first media asset in the preset time period from the first play log;
calculating a first preference of the first medium asset according to a forward direction incentive value of the first medium asset, the watching times of the first medium asset in a preset time period, the duration of watching the first medium asset each time in the preset time period and the total duration of watching the first medium asset in the preset time period; the formula is as follows:
Figure FDA0003485784010000021
wherein A represents a first asset; p is a radical ofs(A) Representing a first preference of a first asset; a (a > 1) represents a forward incentive value for the first asset; n represents the watching times of the first media asset in a preset time period; t (i) represents the time length of the ith viewing of the first media asset in a preset time period; t (i) represents the total time length of the ith viewed first medium asset in a preset time period.
6. The display device of claim 5, wherein the controller performs the step of retrieving a second preference corresponding to the first asset from the second play log, and is further configured to:
acquiring the time length for watching the first media asset and the total time length of the first media asset from the second play log;
and determining the ratio of the time length for watching the first medium asset to the total time length of the first medium asset as the second preference.
7. The display device of claim 6, wherein the controller performs the step of calculating a third preference for the first asset based on the first preference and the second preference, and is further configured to:
obtaining a first product of the first preference and the subjective weight and a second product of the second preference and the passive weight;
determining a sum of the first product and the second product as a third preference of the first asset;
the sum of the subjective weight and the passive weight is 1, and the subjective weight is the product of the ratio of the number of times of watching the first asset in the first play log within a preset time period to the total number of times of watching the first asset in the media asset play log and a first constant.
8. The display device of claim 7, wherein the controller performs the step of calculating the degree of similarity of the second asset to the target preferred asset, and is further configured to:
acquiring a first label vector of the target preference media asset and a second label vector of the second media asset;
calculating the similarity degree of the second media asset and the target preference media asset according to the first label vector and the second label vector; the formula is as follows:
Figure FDA0003485784010000022
wherein A represents the target preference asset; b represents the second medium asset; sim (A, B) represents a degree of similarity of the second asset to the target preference asset;
Figure FDA0003485784010000023
representing a first tag vector;
Figure FDA0003485784010000024
representing a second tag vector.
9. The display device of claim 8, wherein the controller performs the step of determining the target preference asset and the associated preference asset of the target preference asset as a target recommendation asset, and is further configured to:
when the second media asset is determined to be the associated preference media asset, acquiring a fourth preference of the second media asset according to the similarity degree; the fourth preference obtaining method includes:
Figure FDA0003485784010000031
wherein p (B) is a fourth preference for the second asset; p (A) a third preference for the first asset; sim (a, B) is the similarity degree of the first asset and the second asset (i.e. the similarity degree of the associated preference assets of the target preference asset and the target preference asset); q is all the media assets in the media asset play log;
and determining the target preference media asset and the associated preference media asset of the target preference media asset as target recommendation media asset according to the third preference and the fourth preference.
10. A method for recommending media assets, characterized in that the method comprises:
acquiring a full-amount log of the media assets;
determining a first play log and a second play log according to the media asset total log; the first play log is a log of a user playing media assets through searching; the second play log is a log of the media assets played by the user without searching;
determining target preference media resources according to first preference of first media resources in the first play log and second preference corresponding to the first media resources in the second play log; wherein, the first media asset is the media asset played by the user after searching; the first preference is a numerical value used for representing subjective preference of a user; the second preference is a numerical value used for representing the passive preference of the user;
and determining the target preference media asset and the associated preference media asset of the target preference media asset as target recommendation media assets.
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