CN114501151B - Display equipment and media asset recommendation method - Google Patents

Display equipment and media asset recommendation method Download PDF

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Publication number
CN114501151B
CN114501151B CN202210080136.2A CN202210080136A CN114501151B CN 114501151 B CN114501151 B CN 114501151B CN 202210080136 A CN202210080136 A CN 202210080136A CN 114501151 B CN114501151 B CN 114501151B
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China
Prior art keywords
media asset
preference
asset
media
log
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Chinese (zh)
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CN114501151A (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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Classifications

    • 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

Abstract

The application shows a display device and a media asset recommendation method. Receiving a search instruction input by a user; responding to the search instruction, and acquiring a media resource total log; 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 media assets played by a user through searching; the second play log is a log of media assets played by the user without searching; determining target preference media assets according to first preferences of the first media assets in the first play logs and second preferences corresponding to the first media assets in the second play logs; 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 system for recommending the media assets, 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, potential interests of the user can be mined through subjective searching of the user, so that the media assets are recommended to the user, and film watching experience of the user is improved.

Description

Display equipment 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 selections such as movies, music, television programs, and video have grown. Typically, users have only a limited time to focus on watching television or browsing video, but need to choose to watch content from a vast amount of video.
The existing media asset recommendation method generally recommends media assets to users according to various factors such as freshness of media assets, popularity of media assets, click rate of media assets, quality of media assets, correlation between media asset content and user interests, etc., however, the media assets recommended to users by the existing media asset recommendation method may not be media assets of interest to users, and users may waste time to watch media asset content of no interest.
Accordingly, there is a need to provide a media recommendation method capable of recommending effective video to a user.
Disclosure of Invention
The display equipment and the media asset recommendation method can be used for recommending media assets to a user by mining potential interests of the user, so that the viewing experience of the user is improved.
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 media resource total log; 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 media assets played by a user through searching; the second play log is a log of media assets played by the user without searching; determining target preference media assets according to first preferences of the first media assets in the first play logs and second preferences corresponding to the first media assets in the second play logs; the first media asset is the media asset played by the user after searching; the first preference is a numerical value used to characterize subjective preferences 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 mode of the embodiment, the potential interests of the user can be mined through the media assets subjectively searched by the user, the recommended media assets can be more matched with the viewing interests of the user, and the viewing experience of the user is improved.
In a second aspect, the present application shows a media asset recommendation method, the method comprising: acquiring a media resource full log; 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 media assets played by a user through searching; the second play log is a log of media assets played by the user without searching; determining target preference media assets according to first preferences of the first media assets in the first play logs and second preferences corresponding to the first media assets in the second play logs; the first media asset is the media asset played by the user after searching; the first preference is a numerical value used to characterize subjective preferences of the user; the second preference is a numerical value used to characterize the user's passive preference; 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 mode of the embodiment, the potential interests of the user can be mined through the media assets subjectively searched by the user, the recommended media assets can be more matched with the viewing interests of the user, and the viewing experience of the user is improved.
According to the technical scheme, the display equipment and the media asset recommendation method can respond to the search instruction of the user when receiving the search instruction input by the user, and acquire the full log of the media asset; and determining a first play log and a second play log according to the media asset total log, so as to determine target preference media assets. The first play log is a log of media assets played by a user through searching; the second play log is a log played by the user without searching. And after determining the target preference media assets, determining the target preference media assets and associated preference media assets of the target preference media assets as target recommendation media assets. According to the method, 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 to recommend the media assets to the user, and the viewing experience of the user is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are needed in the embodiments will be briefly described below, and it will be obvious to those skilled in the art that other drawings can be obtained from these drawings without inventive effort.
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 diagram of a configuration of a control device 100 according to some embodiments;
fig. 3 illustrates a hardware configuration block diagram of a display device 200 according to some embodiments;
FIG. 4 illustrates a software configuration block diagram of a display device 200 according to some embodiments;
FIG. 5 illustrates a global interface schematic of a display device according to some embodiments;
FIG. 6 illustrates a display device configuration flow diagram in accordance with some embodiments;
FIG. 7 illustrates a display device search interface schematic in accordance with some embodiments;
FIG. 8 illustrates a flow diagram for acquiring a full journal of a media asset in accordance with some embodiments;
FIG. 9 illustrates a display device configuration flow diagram in accordance with some embodiments;
FIG. 10 illustrates a first play log schematic in accordance with some embodiments;
FIG. 11 illustrates a display device configuration flow diagram in accordance with some embodiments;
FIG. 12 illustrates a media recommendation interface, according to some embodiments.
Detailed Description
For purposes of clarity and implementation of the present application, the following description will make clear and complete descriptions of exemplary implementations of the present application with reference to the accompanying drawings in which exemplary implementations of the present application are illustrated, it being apparent that the exemplary implementations described are only some, but not all, of the examples of the present application.
It should be noted that the brief description of the terms in the present application is only for convenience in understanding the embodiments described below, and is not intended to limit the embodiments of the present application. Unless otherwise indicated, these terms should be construed in their ordinary and customary meaning.
The terms "first," second, "" third and the like in the description and in the claims and in the above-described figures are used for distinguishing between similar or similar objects or entities and not necessarily for limiting a particular order or sequence, unless otherwise indicated. It is to be understood that the terms so used are interchangeable under appropriate circumstances.
The terms "comprises," "comprising," and "having," 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 explicitly 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 or/and software code that is capable of performing the function 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 device 200 through the smart device 300 or the control apparatus 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 infrared protocol communication or bluetooth protocol communication, and other short-range communication modes, and the display device 200 is controlled by a wireless or wired mode. The user may control the display device 200 by inputting user instructions through keys on a remote control, voice input, control panel input, etc.
In some embodiments, a smart device 300 (e.g., mobile terminal, tablet, computer, notebook, etc.) may also be used to control the display device 200. For example, the display device 200 is controlled using an application running on a smart device.
In some embodiments, the display device 200 may also perform control 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 through a module configured inside the display device 200 device for acquiring voice commands, or the voice command control of the user may be received through a voice control device configured outside the display device 200 device.
In some embodiments, the display device 200 is also in data communication with a server 400. The display device 200 may be permitted to make communication connections via 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 device 200. The server 400 may be a cluster, or may be multiple 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 in accordance with 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 of a user and convert the operation instruction into an instruction recognizable and responsive to the display device 200, and function as an interaction between the user and the display device 200.
Fig. 3 shows a hardware configuration block diagram of the display device 200 in accordance with an exemplary embodiment.
In some embodiments, display apparatus 200 includes at least one of a modem 210, a communicator 220, a detector 230, an external device interface 240, a controller 250, a display 260, an audio output interface 270, memory, a power supply, a user interface.
In some embodiments the controller includes a processor, a video processor, an audio processor, a graphics processor, RAM, ROM, a first interface for input/output to an nth interface.
In some embodiments, the display 260 includes a display screen component for presenting a picture, and a driving component for driving an image display, for receiving image signals from the controller output, for displaying video content, image content, and a menu manipulation interface, and for manipulating a UI interface by a user.
In some embodiments, the display 260 may be a liquid crystal display, an OLED display, 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, or other network communication protocol chip or a near field communication protocol chip, and an infrared receiver. The display apparatus 200 may establish transmission and reception of control signals and data signals with the control device 100 or the server 400 through the communicator 220.
In some embodiments, the user interface may be configured to receive control signals from the control device 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 capturing the intensity of ambient light; alternatively, the detector 230 includes an image collector such as a camera, which may be used to collect external environmental scenes, user attributes, or user interaction gestures, or alternatively, the detector 230 includes a sound collector such as a microphone, or the like, 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, or the like. The input/output interface may be a composite input/output interface formed by a plurality of interfaces.
In some embodiments, the modem 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 separate devices, i.e., the modem 210 may also be located in an external device to the main device in which the controller 250 is located, such as an external set-top box or the like.
In some embodiments, the controller 250 controls the operation of the display device and responds to user operations through various software control programs stored on the memory. The controller 250 controls the overall operation of the display apparatus 200. For example: in response to receiving a user command to select 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 operable control. The operations related to the selected object are: displaying an operation of connecting to a hyperlink page, a document, an image, or the like, or executing an operation of a program corresponding to the icon.
In some embodiments the controller includes at least one of a central processing unit (Central Processing Unit, CPU), video processor, audio processor, graphics processor (Graphics Processing Unit, GPU), RAM Random Access Memory, RAM), ROM (Read-Only Memory, ROM), first to nth interfaces 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 received from the outside, so as to finally display and play various audio and video contents. The CPU processor may include a plurality of processors. Such as one main processor and one or more sub-processors.
In some embodiments, a graphics processor is used to generate various graphical objects, such as: icons, operation menus, user input instruction display graphics, and the like. The graphic processor comprises an arithmetic unit, which is used for receiving various interactive instructions input by a user to operate and displaying various objects according to display attributes; the device 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, perform video processing such as decompression, decoding, scaling, noise reduction, frame rate conversion, resolution conversion, image composition, etc., according to a standard codec protocol of an input signal, and may obtain a signal that is displayed or played on the directly displayable 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 demultiplexed video signal, including decoding, scaling and the like. And an image synthesis module, such as an image synthesizer, for performing superposition mixing processing on the graphic generator and the video image after the scaling processing according to the GUI signal input by the user or generated 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 frame rate into a video output signal and changing the video output signal to be in accordance with a display format, such as outputting RGB data signals.
In some embodiments, the audio processor is configured to receive an external audio signal, decompress and decode the audio signal according to a standard codec protocol of an input signal, and perform noise reduction, digital-to-analog conversion, and amplification processing to obtain a sound signal that can be played in a speaker.
In some embodiments, a user may input a user command through a Graphical User Interface (GUI) displayed on the display 260, and the user input interface receives the user input command 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 recognizes the sound or gesture through the sensor to receive the user input command.
In some embodiments, a "user interface" is a media interface for interaction and exchange of information between an application or operating system and a user that enables conversion between an internal form of information and a form acceptable to the user. A commonly used presentation form of the user interface is a graphical user interface (Graphic User Interface, GUI), which refers to a user interface related to computer operations that is displayed in a graphical manner. It may be an interface element such as an icon, a window, a control, etc. displayed in a 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 display devices may include a Kernel (Kernel), a command parser (shell), a file system, and an application program. The kernel, shell, and file system together form the basic operating system architecture that allows users to manage files, run programs, and use the system. After power-up, the kernel is started, the kernel space is activated, hardware is abstracted, hardware parameters are initialized, virtual memory, a scheduler, signal and inter-process communication (IPC) are operated and maintained. After the kernel is started, shell and user application programs are loaded again. The application program is compiled into machine code after being started to form a process.
As shown in fig. 4, a system of display devices may include a Kernel (Kernel), a command parser (shell), a file system, and an application program. The kernel, shell, and file system together form the basic operating system architecture that allows users to manage files, run programs, and use the system. After power-up, the kernel is started, the kernel space is activated, hardware is abstracted, hardware parameters are initialized, virtual memory, a scheduler, signal and inter-process communication (IPC) are operated and maintained. After the kernel is started, shell and user application programs are loaded again. The application program is compiled into machine code after being started to form a process.
As shown in fig. 4, the system of the display device is divided into three layers, an application layer, a middleware layer, and a hardware layer, from top to bottom.
The application layer mainly comprises common applications on the television, and an application framework (Application Framework), wherein the common applications are mainly applications developed based on Browser, such as: HTML5 APPs; native applications (Native APPs);
the application framework (Application Framework) is a complete program model with all the basic functions required by standard application software, such as: file access, data exchange, and the interface for the use of these functions (toolbar, status column, menu, dialog box).
Native applications (Native APPs) may support online or offline, message pushing, or local resource access.
The middleware layer includes middleware such as various television protocols, multimedia protocols, and system components. The middleware can use basic services (functions) provided by the system software to connect various parts of the application system or different applications on the network, so that the purposes of resource sharing and function sharing can be achieved.
The hardware layer mainly comprises a HAL interface, hardware and a driver, wherein the HAL interface is a unified interface for all the television chips to be docked, and specific logic is realized by each chip. The driving mainly comprises: audio drive, display drive, bluetooth drive, camera drive, WIFI drive, USB drive, HDMI drive, sensor drive (e.g., fingerprint sensor, temperature sensor, pressure sensor, etc.), and power supply 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, as shown in fig. 5, that is initiated upon power-up of the display device, which may be displayed in a display of the display device. The global interface may include a recommended content region. The recommended content area is used for configuring TAB columns with different classifications; media resources, themes and the like can be selectively configured in the columns; the assets may be any type of audio, video, and/or image data received from any type of media content source or data source. The media assets can comprise 2D movies, education courses, travel, 3D, 360-degree panorama, live broadcast, 4K movies, program applications, games, travel and other businesses with media asset content, and the columns can select different template styles, support simultaneous recommendation and arrangement of media assets and themes.
In some embodiments, the display device and the server may be in data communication via a variety of communication means. The server may want the display device to provide various content and interactions. The display device interacts with the electronic program guide (Electrical Program Guide, EPG) by sending and receiving information, receiving software program updates, or accessing a remotely stored digital media library. The server may be one cluster or a plurality of clusters. One or more types of servers may be included. Other web service content such as video on demand and advertising services are provided by the server. By way of example, a server may provide media such as 2D movies, program applications, and the like to a 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 the recommended media assets are provided for users to use.
In the existing manner of determining recommended assets from assets resources on a network, the factors considered include: freshness of the media asset, popularity of the media asset, click rate of the media asset, quality of the media asset, correlation between media asset content and user interests, and the like. For example, if the media asset quality indicates that the media asset is from an entity with high authority and/or that the media asset has high definition, then the media asset is more likely to be selected as the recommended media asset.
However, the following problems may occur in the process of viewing the media assets by the user:
in a recommended media resource mode taking media resource freshness as a main consideration, taking the latest updated media resource as an example; the user may simply browse the "pop-up" video from the recommended content area at will, rather than a subjective intent to browse the "pop-up" video; after the display device finds that the user browses a video of "sudden something", the type of the media asset is continuously recommended to the user, and the type of the media asset is not the media asset which the user is interested in, so that the user may waste time to watch uninteresting media asset contents.
In order to solve the problems, the application shows a display device capable of improving the viewing experience of a user by mining the potential interests of the user to recommend media assets to the user.
The display device provided in the embodiments of the present application may be a display device such as a mobile phone, a tablet computer, a desktop, a laptop, a notebook, an ultra-mobile personal computer (ultra-mobile personal computer, UMPC), a handheld computer, a netbook, a personal digital assistant (personal digital assistant, PDA), a wearable electronic device, a virtual display device, or the like, and the embodiments of the present application do not limit the specific type of the display device.
The display device shown in the present application includes: a display; a controller configured to perform steps S601 to S605 shown in fig. 6;
step S601, a search instruction input by a user is received.
After the display device is powered on, a global interface shown in fig. 5 is started, a status bar can be further set at the top of a recommended content area of the global interface, and a plurality of display controls can be set in the status bar, wherein the status bar comprises common options such as time, network connection state, electric quantity and the like. The content contained in the status bar may be user-defined, for example, weather, user avatar, etc. may be added to the status bar. Timing controls, collection controls, search controls, message controls and the like can also be arranged at the top of the recommended content area of the global interface. 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.
During data interaction with the display device, a user may 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 can communicate in a non-direct connection mode. That is, in some embodiments, the mobile terminal and remote control may communicate with the display device via a direct connection such as Bluetooth, infrared, or the like. When the control command is transmitted, the mobile terminal and the remote controller can directly transmit the control command data to the display device through Bluetooth or infrared. By way of example, the control instruction in the present application is a search instruction, and the user may input the search instruction in the manner shown in the present embodiment.
In other embodiments, the mobile terminal or remote control 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 firstly send the control instruction data to the wireless router, 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 in accordance with an exemplary embodiment. As shown in fig. 7, the display device search interface includes a search bar, an input area, an associated content area; a user can operate the display device through the control device or the intelligent device to click the full keyboard/T9 keyboard in the input area, and input pinyin, characters, english or initial letters in the search bar to search media materials; the association content area associates according to the content input in the search field, for example, the user wants to search for "pop; thus, the first letter "TM" of "protruding something" is typed in the search field, the associated content area displays associated content according to "TM", such as "please" talk about "," listen to "talk about", "talk about" D "," flee about "a rabbit", "jump about" a video "," jump about "a child", "talk about" a act "etc. medium with" TM "as the initial. The user may click on his subjective willingness to search for assets in the associated content area to view the assets.
It should be noted that, the user's viewing interest in the media asset searched by subjective intention is far stronger than that of the recommended media asset by random browsing, and the application is based on merging the subjective intention search of the user to make the recommendation of the media asset.
Step S602, responding to the search instruction, and acquiring a media resource full log.
In some embodiments, the total media asset log is used to record various data operations and usage of the display device by the user, and the total media asset log is used to record the user ID, the media asset name, the number of media asset plays, the media asset play duration, the media asset play type, and the like. The media asset total log comprises: a media asset search log and a media asset play log; the media resource search log is used for recording the user searching media resource; the media asset playing log is a log for recording media assets played by the user. In a specific implementation, exemplified by the media during 2022, 1 st to 2022, 1 st 5 th, user "123" at 2022, 1 st 8:00 clicking "burst" from the recommended content area of the global interface to watch the first set of "burst", wherein the media asset playing duration is 0:00-0:55; the playing behavior is recorded in a media asset playing log; user "123" at 2022, 1 month, 2 days 8:00 searches the "burst certain" to watch the second set of the "burst certain" through the search interface, and the playing duration of the media asset is 0:00-0:15; at this time, the search behavior is recorded in the media search log, and the media play behavior is recorded in the media play log.
It should be noted that, the total media asset log may store the log in the preset period, for example, the preset period is set to 30 days, and then the total media asset log may store all the history search logs and all the history play logs in 30 days. The preset period in the present application may be set according to actual use conditions, and is not limited to only setting the preset period to 30 days.
FIG. 8 illustrates a flowchart for acquiring a full journal of a media asset in accordance with an exemplary embodiment. As shown in fig. 8, in the process of acquiring the media asset full log, the display device includes a log reporting system and a log storage system; when the controller receives a search instruction or a play instruction sent by a user, the controller reports the formed media resource search log and media resource 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)); the controller acquires the media asset full log from the log storage system. Wherein a high throughput distributed publish-subscribe messaging system can process all action flow data operated by a user in a display device, which is typically solved by processing logs and log aggregations due to throughput requirements; data warehouse tools may be used to perform data extraction, transformation, loading, and capable of storing, querying, and analyzing large-scale data.
Step S603, 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 media assets played by a user through searching; the second play log is a log of 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 media asset aggregate log, and is further configured to:
acquiring a media resource search log;
determining a first play log according to the media resource search log;
and determining the logs except the first play log in the media asset play logs as second play logs.
It should be noted that, the first play log and the second play log are part of the media asset play log; wherein the media asset content in the first play log corresponds to the media asset search log. By way of example, taking the media assets during 2022, 1 st to 2022, 1 st 5 th, user "123" at 2022, 1 st 8:00 searches "TM" in the search interface; and selecting 'Suo' which is desired to be played by the subjective intention of the user according to the associated content of 'TM'. The searching behavior of the user searching for the TM is recorded in the media resource searching log; the playing behavior of the user playing "pop-up" is recorded in a first playing log; the media assets played without searching by the user may be watched by the user by random clicking of the home page recommendation, 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 a specific acquisition process, the media asset playing logs are screened according to the corresponding relation between the media asset searching logs and the first playing logs.
Step S604, determining a target preference media asset according to a first preference of a first media asset in a first play log and a second preference corresponding to the first media asset in a second play log; the first media asset is the media asset played by the user after searching; the first preference is a numerical value used to characterize subjective preferences of the user; the second preference is a numerical value used to characterize the user's passive preference;
in some embodiments, the controller performs the step of determining the target preference media 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;
preferences are rational, tendentious choices made by the user when considering goods and services, and are a combination of economic trade-offs of user cognition, psychological perception and rationality. The user can assist in selecting relevant decisions by preference. The degree of preference of the user to select the relevant decision may be approximated by a numerical value. Taking the example of the media assets selected by the user for viewing, the media assets played by the user through searching can be regarded as the media assets selected by the user through subjective preference, and the media assets played by the user through the first page recommended click can be regarded as the media assets selected by the user through passive preference, namely the media assets selected by the user without subjective preference for viewing will of the media assets are strong.
In some embodiments, the controller performs the step of obtaining the first preference of the first media asset from the first play log, and is further configured to:
the method comprises the steps of obtaining a forward excitation value of a first media asset, the number of times of watching the first media asset in a preset period, the duration of watching the first media asset each time in the preset period and the total duration of watching the first media asset in the preset period from a first play log;
calculating a first preference of the first media asset through a forward excitation value of the first media asset, the number of times of watching the first media asset in a preset period, the duration of watching the first media asset each time in the preset period and the total duration of watching the first media asset in the preset period; the formula is as follows:
wherein A represents a first asset; p is p s (A) A first preference representing a first media asset; a (a > 1) represents a forward incentive value for the first asset; n represents the number of times of watching the first media asset in a preset period; t (i) represents the time length of the ith watching of the first media asset in a preset period; t (i) represents the total duration of the first asset viewed the ith time within the preset period.
It should be noted that, the step of obtaining the first preference of the first media asset from the first play log is used for evaluating the subjective preference degree of the user on the media asset played by the user through searching in a numerical manner, so the step of obtaining the first preference of the first media asset from the first play log is not limited to the step of calculating the first preference through a formula shown in the above embodiment; the first preference may also be calculated in a variety of ways, such as a preference mining algorithm, a preference matrix, and the like.
In some embodiments, the controller performs the step of obtaining the first preference of the first media asset from the first play log, and may further employ a preference mining algorithm by:
acquiring the access times and the access frequency of the first media asset from the first play log, and acquiring the weight value of the access flow in the first play log;
comparing the access times, the access frequency and the access flow with weight values preset by various indexes;
and if the weight value of at least one index is larger than the corresponding preset weight value, acquiring the first preference of the first media asset according to the weight value of each index. In some embodiments, the controller performs the step of obtaining the first preference of the first media asset from the first play log, and may further employ a preference matrix by:
establishing a preference matrix according to the access times and the access frequency of the first media assets and the weight value of the access flow in the first play log;
and acquiring first preferences of the first media asset according to the preference matrix.
In the above embodiment, the setting of the indicators may be set according to the actual situation, and the number of the set indicators may be changed to achieve both accuracy and simplicity of calculation.
Fig. 10 illustrates a first playlist graph according to an example embodiment. As shown in fig. 10, taking as an example the media assets between 2022, 1-1 and 2022, 1-30, the first play log includes: user "123" at 2022, 1 month, 1 day 8:00 play a first set of 'burst certain', wherein the play time is 15 minutes; user "123" at 2022, 1 month, 2 days 8:00 play a second set of 'burst certain', wherein the play time is 15 minutes; user "456" at 2022, 1 month, 3 days 8: a first set of 'Tianqi' played by 00, wherein the playing time is 15 minutes; user "456" at 2022, 1, 4, 8: the second set of "some day" played by 00 has a playing duration of 15 minutes … …, and the first playing log within 30 days is sequentially obtained.
It should be noted that, in the process of obtaining the user preference, a small amount of data cannot reach a better calculation result; a better calculation result can be obtained by counting data in a certain period, and for example, a preset period can be set to 30 days to obtain a first play log in 30 days for calculating user preference. The preset period includes, but is not limited to, 30 days, and can be set according to actual situations under the condition that 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 user preferences of user "123" or user preferences of user "456" according to the difference in user IDs; to realize recommendation of different media assets to different users according to user preferences on the same display device.
It should be noted that the first play log includes at least one first media asset; the controller can acquire first preference of each first media asset to calculate; the controller can simultaneously calculate the first preference of at least one first media asset under the condition that the system consumption allows, and can also calculate the first preference of the recently played first media asset preferentially according to time sequence. For example, the first play log includes a play log of "Su-somewhere" and a play log of "Tian-somewhere"; when the system consumption allows, the play logs of two media assets can be obtained simultaneously and two first preferences can be calculated simultaneously; if the system consumption is not allowed, if 'some' is the recently played media asset, first calculating a first preference of 'some'; the first preference of "day somewhere" is recalculated.
In the above embodiment, the first media is taken as "burst" as an example; setting the forward excitation value of the first media asset to 2; the number of "pop-up" views was 20 times within 30 days; the time length for watching the media asset from the 1 st time to the 20 th time is respectively as follows: 15 minutes, 20 minutes, 30 minutes, … …, 20 minutes; the duration of the first set of "burst" is 45 minutes, and the duration of the second set of "burst" is 42 minutes; when the first media asset watched for the first time is "sudden certain" in the first set, the total duration of the corresponding first media asset is 45 minutes. After corresponding data meeting the above formula in the first play log is obtained, a first preference of the first media asset can be obtained according to the above 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 recommended click can be regarded as the media assets selected by the user passive preference; the media assets played by the user through the play modes such as the history record, the collection page, the user front page waterfall stream, the user detail page skip and the like can also be regarded as the media assets selected by the user passive preference.
In some embodiments, the controller performs the step of obtaining a second preference corresponding to the first media asset from a 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;
a ratio of a time period for viewing the first asset to a total time period of the first asset is determined as the second preference.
In some embodiments, taking as an example the media assets during 2022, 1/month 1/day to 2022, 1/month 30/day, the second play log includes: user "123" at 2022, 1 month, 1 day 12:00 play a first set of 'burst certain', wherein the play duration is 20 minutes; user "123" at 2022, 1 month, 2 days 12:00 play a second set of 'burst certain', wherein the play time is 20 minutes; … …; wherein the first set of "burst" is 45 minutes long and the second set of "burst" is 42 minutes long; … …; the duration of viewing the first asset is 20+ … …; the total duration of the first media asset is as follows: 45+42+ … …; a ratio of a time period for viewing the first asset to a total time period of the first asset is determined as the second preference.
It should be noted that, the step of obtaining the second preference of the first media asset from the second play log is used to evaluate the passive preference degree of the user on the media asset played by the user without searching in a numerical manner, so the step of obtaining the second preference of the first media asset from the second play log is not limited to the above embodiment, and the method of determining the second preference by calculating the ratio of the time period of watching the first media asset and the total time period of the first media asset may also be adopted as the method of calculating the preference mining algorithm and the preference matrix adopted by the first preference. Step S903, calculating a third preference of the first 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 for the first asset;
in a specific implementation, the above embodiment is expressed as a formula:
p(A)＝p s (A)*p s +p t (A)*p t ；
wherein p (A) represents a third preference for the first asset; p is p s (A) A first preference representing a first media asset; p is p t (A) A second preference representative of the first media asset; p is p s Representing subjective weights; p is p t Representing passive weights.
It should be noted that, 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 media asset in the preset period in the first play log to the total number of times of watching the first media asset in the media asset play log and the first constant.
In some embodiments, the subjective weight is calculated by the formula:
wherein p is s Representing subjective weights; m represents a first constant, and the default value of the value of m is 1, which can be set according to actual conditions in specific implementation.
Taking 2022, 1 st to 2022, 1 st 30 nd day as an example, the number of views of the first asset in the preset period in the first play log is 15; the total number of watching times of the first media asset in the media asset playing log is 30; the value of m is set to 1; at this time, p s =1/2; since the sum of the subjective weight and the passive weight is 1, p is t =1/2; it should be noted that m is used to adjust the subjective weight.
It should be noted that, calculating a third preference of the first media asset according to the first preference and the second preference, where the third preference is used to evaluate the overall preference degree of the user on the first media asset played by the user in a numerical manner; the overall preference level is obtained by integrating the first preference and the second preference of the first media asset, so that the step of calculating the third preference of the first media asset according to the first preference and the second preference is not limited to the manner shown by the formula in the embodiment, and other algorithms can be used to integrate the first preference and the second preference to obtain the value of the third preference. In step S904, when the third preference is within the first threshold range, the first asset is determined as the target preferred asset according to the third preference.
In some embodiments, when the third preference of the first asset is obtained, the overall preference level of the user for the first asset may be determined, and the first asset may be determined as the target preference asset. In a specific implementation, since the first play log includes at least one first media asset, the first media asset includes: for example, "burst", "Tian Zhi", "Tian Zhi", the calculation in the above embodiment can obtain the third preference of "burst" as 10, respectively; the third preference of "some of the days" is 5; the third preference of "Tian some" is 1; when the third preference is within the first threshold range, the controller determines a target preference media asset according to the preference degree of the third preference. For example, if the first threshold is greater than 6, only "sudden" is the target preference medium, and the values of the third preference listed in the embodiment are only used to describe the preference degree when the description is needed, and are not actual values, the first threshold in the embodiment is merely an example, and the specific setting is set according to the actual situation. Step S605, determining the target preference media asset and the associated preference media asset of the target preference media asset as the target recommendation media asset.
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 perform steps S1101-S1104 as shown in fig. 11;
step S1101, obtaining a second media asset; 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 preference asset, and is further configured to:
acquiring a first tag vector of a target preference media asset and a second tag vector of a 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:
wherein A represents target preference media assets; b represents a second asset; sim (a, B) represents the degree of similarity of the second asset to the target preference asset;representing a first label vector; />Representing a second label vector.
Labels are often arranged in the existing media asset application for indicating the characteristics of the media asset; the media asset tag can be used for indicating the media asset type, the media asset showing time, the media asset actor lineup, the media asset provider and the like; for example, a tag of video "burst" may include: "City", "2021" reflects "," "and" love ". The label vector is a feature vector, and the specific statistical method is as follows: extracting all media assets containing the tag from the Internet; word segmentation, feature word extraction and word frequency statistics of feature words are carried out on the extracted media assets; and carrying out related ranking on the characteristic words, and taking a certain number of words as tag vectors. The number of the words can be set according to the requirements. Further, a tag vector may be understood as a particular value to which a vector corresponds, the specific content of which may be specified by a user.
Illustratively, taking the target preference medium as "sudden-certain" as an example, the feature vector of the label " -certain" thereof may be the first label vector; taking the example of the associated preference media as "wulin" and the label of "" as well, the feature vector of the label "" may be the second label vector. 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 discrimination, a plurality of tags are often set in the medium; i.e. the target preference medium comprises at least one first tag vector; the associated preference medium includes at least one tag vector. In calculating the degree of similarity, it is necessary to calculate the degree of similarity in combination with a plurality of tag vectors.
Step S1103, judging whether the similarity is within a second threshold range; if the similarity is within a second threshold range, determining that the second media asset is an associated preferred media asset;
if the degree of similarity is not within the second threshold, the second fund is not an associated preferred fund.
After determining the target preference media assets of the user, indicating that the user is interested in the type of media assets; therefore, the associated preference media assets with a certain similarity degree with the type of media assets can be recommended to the user; the similarity degree of the target preference media assets and the associated preference media assets can be subjected to numerical judgment; in specific implementation, taking the determined target preference media asset as an example of "sudden something", if the similarity degree between the nominal value of the associated preference media asset and the sudden something is 0.8; the degree of similarity of "Tianqi" and "Zhuqi" is 0.1; the degree of similarity of "Tian some" and "Zhou some" is 0.2; setting the second threshold to be greater than 0.75; only "some nominal" is "outstanding" for the associated preference medium. The second threshold may be set according to the recommended actual situation according to the recommended amount.
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 preferred media asset, acquiring a fourth preference of the second media asset according to the similarity degree; the fourth preference acquisition method is as follows:
wherein p (B) is a fourth preference for the second asset; p (A) is a third preference for the first media asset; sim (a, B) is the similarity of the first and second assets (i.e., the similarity of the target preferred asset and the associated preferred asset of the target preferred asset); q is all 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 the target recommendation media asset according to the third preference and the fourth preference.
FIG. 12 illustrates a media recommendation interface diagram in accordance with an exemplary embodiment. As shown in fig. 12, the conventional media recommendation interface includes: carefully selecting a recommended region 1, a history recommended region 2 and other recommended regions 3; the carefully chosen recommending area 1 is media materials screened out according to comprehensive factors such as the showing time, the browsing amount and the like; the history recommending area 2 is an area for recommending the media assets according to the history of the user, and the other recommending areas 3 are areas for recommending the media assets according to the media asset classification. Illustratively, the carefully chosen recommendation area 1 shows "Alien and god lights" for the newly launched movie, and the history recommendation area 2 shows "Su" for history viewing; the other recommended area 3 is shown as "certain Weilong"; existing display modes may not fit the subjective interests of the user adequately.
In some embodiments, the target preference media asset and the associated preference media asset need to be distributed according to different scenes, and after the target preference media asset and the associated preference media asset are determined according to the method shown in the application, the media asset recommendation interface shown in fig. 12 can be optimized, so that the media asset recommended by the media asset recommendation interface is more fit to the interests of the user; if "sudden" is determined to be the target preference media asset when the history recommendation area 2 shows "sudden" that is viewed in the history, the name of "sudden" of the associated preference media asset can be displayed in the carefully selected recommendation area 1 so as to promote the viewing interest of the user.
In some embodiments, the present application also shows a media recommendation method, the method comprising:
acquiring a media resource full log;
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 media assets played by a user through searching; the second play log is a log of 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, the specific implementation manner of each step in the media recommendation method may refer to the foregoing display device embodiment, which is not described herein. According to the embodiment, the target preferred media assets of the user can be obtained according to the full log of the media assets, the target recommended media assets are determined by combining the associated preferred media assets of the target preferred media assets, the potential interests of the user can be mined to recommend the media assets to the user, and the viewing experience of the user is improved.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution 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 scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the corresponding technical solutions 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 (6)

1. A display device, characterized by comprising:
a display;
a controller configured to:
receiving a search instruction input by a user;
responding to the search instruction, and acquiring a media resource total log; wherein, the media asset total log comprises: a media asset search log and a media asset play log;
acquiring a media resource search log;
determining a first play log according to the media resource search log; wherein, the media resource content in the first play log corresponds to the media resource search log;
determining the logs except the first play log in the media asset play log as a second play log; the first play log is a log of media assets played by a user through searching; the second play log is a log of media assets played by the user without searching;
acquiring a forward excitation value of a first media asset, the number of times of watching the first media asset in a preset period, the duration of watching the first media asset each time in the preset period and the total duration of watching the first media asset in the preset period from the first play log;
calculating a first preference of the first media asset according to the forward excitation value of the first media asset, the watching times of the first media asset in a preset period, the time length of watching the first media asset each time in the preset period and the total time length of watching the first media asset in the preset period; the formula is as follows:
Wherein A represents a first asset; p is p s (A) A first preference representing a first media asset; a (a > 1) represents a forward incentive value for the first asset; n represents the time within a preset periodThe number of views of the first asset; t (i) represents the time length of the ith watching of the first media asset in a preset period; t (i) represents the total duration of the first media asset watched for the ith time in a preset period;
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; determining a ratio of a time period for watching the first media asset and a total time period of the first media asset as a second preference corresponding to the first media asset;
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 for the first media asset; the sum of the subjective weight and the passive weight is 1, the subjective weight is the product of the ratio of the number of times of watching the first media asset in the preset period in the first play log to the total number of times of watching the first media asset in the media asset play log and a first constant, and the third preference is a numerical value used for representing the overall preference of the user;
Determining the first asset as a target preferred asset according to the third preference when the third preference is within a first threshold range; the first media assets are media assets which are played by a 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 asset.
2. The display apparatus according to claim 1, wherein the media asset search log is a log for recording a user search media asset; the media asset playing log is used for recording the media asset played by the user.
3. The display device of claim 1, wherein the controller performs the step of determining the target preferred asset and the associated preferred asset of the target preferred asset as a target recommended asset, and is further configured to:
acquiring a second media asset; the second media asset is provided by a media asset provider;
calculating the similarity degree of the second media asset and the target preference media asset;
judging whether the similarity degree is within a second threshold range;
And if the similarity degree is within a second threshold value range, determining the second media asset as an associated preferred media asset.
4. The display device of claim 3, wherein the controller performs the step of calculating a degree of similarity of the second asset to the target preference asset, and is further configured to:
acquiring a first tag vector of the target preference media asset and a second tag 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 tag vector and the second tag vector; the formula is as follows:
wherein A represents the target preference media asset; b represents the second media asset; sim (a, B) representing a degree of similarity of the second asset to the target preference asset;representing a first label vector; />Representing a second label vector.
5. The display device of claim 4, wherein the controller performs the step of determining the target preferred asset and the associated preferred asset of the target preferred asset as a 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:
Wherein p (B) is a fourth preference for the second asset; p (A) is a third preference for the first asset; sim (a, B) is the similarity of the first and second assets (i.e., the similarity of the target preferred asset and the associated preferred asset of the target preferred asset); q is all 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.
6. A method for recommending media assets, the method comprising:
acquiring a media resource full log; wherein, the media asset total log comprises: a media asset search log and a media asset play log;
acquiring a media resource search log;
determining a first play log according to the media resource search log; wherein, the media resource content in the first play log corresponds to the media resource search log;
determining the logs except the first play log in the media asset play log as a second play log; the first play log is a log of media assets played by a user through searching; the second play log is a log of media assets played by the user without searching;
Acquiring a forward excitation value of a first media asset, the number of times of watching the first media asset in a preset period, the duration of watching the first media asset each time in the preset period and the total duration of watching the first media asset in the preset period from the first play log;
calculating a first preference of the first media asset according to the forward excitation value of the first media asset, the watching times of the first media asset in a preset period, the time length of watching the first media asset each time in the preset period and the total time length of watching the first media asset in the preset period; the formula is as follows:
wherein A represents a first asset; ps (a) represents a first preference for 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 period; t (i) represents the time length of the ith watching of the first media asset in a preset period; t (i) represents the total duration of the first media asset watched for the ith time in a preset period;
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; determining a ratio of a time period for watching the first media asset and a total time period of the first media asset as a second preference corresponding to the first media asset;
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 for the first media asset; the sum of the subjective weight and the passive weight is 1, the subjective weight is the product of the ratio of the number of times of watching the first media asset in the preset period in the first play log to the total number of times of watching the first media asset in the media asset play log and a first constant, and the third preference is a numerical value used for representing the overall preference of the user;
determining the first asset as a target preferred asset according to the third preference when the third preference is within a first threshold range; the first media assets are media assets which are played by a 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 asset.
CN202210080136.2A 2022-01-24 2022-01-24 Display equipment and media asset recommendation method Active CN114501151B (en)

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CN108460085A (en) * 2018-01-19 2018-08-28 北京奇艺世纪科技有限公司 A kind of video search sequence training set construction method and device based on user journal
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