CN113747246A - Program resource recommendation method, device, equipment and storage medium - Google Patents
Program resource recommendation method, device, equipment and storage medium Download PDFInfo
- Publication number
- CN113747246A CN113747246A CN202111036189.6A CN202111036189A CN113747246A CN 113747246 A CN113747246 A CN 113747246A CN 202111036189 A CN202111036189 A CN 202111036189A CN 113747246 A CN113747246 A CN 113747246A
- Authority
- CN
- China
- Prior art keywords
- program
- user
- playing
- browsing
- information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
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]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44222—Analytics of user selections, e.g. selection of programs or purchase activity
-
- 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
-
- 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
- H04N21/47—End-user applications
- H04N21/482—End-user interface for program selection
- H04N21/4826—End-user interface for program selection using recommendation lists, e.g. of programs or channels sorted out according to their score
Abstract
The invention belongs to the field of televisions and discloses a program resource recommendation method, device, equipment and storage medium. The method comprises the steps of obtaining a program browsing type selected by a user; counting program watching information of a television user in a preset time period, and determining a program resource list according to the program watching information; and acquiring target program resources from the program resource list according to the program browsing type, and displaying the target program resources. The invention counts the program watching information of the television user in the preset time period, determines the program resource list and recommends programs for the user from the program resource list according to the program browsing type selected by the user. Compared with the conventional mode that the user randomly browses and searches the television program to be watched, the mode provided by the invention can recommend the program to the user according to the type selection and statistics of the user, and the experience of the user watching the television is improved.
Description
Technical Field
The present invention relates to the field of television technologies, and in particular, to a method, an apparatus, a device, and a storage medium for recommending program resources.
Background
In modern life, the rhythm of life of people is very fast, generally, people do not pay attention to the program resources with higher quality at ordinary times, and are hard to watch the television once in leisure time, and people can not know what to watch at all and what television programs are in red at present, so that the watching experience is poor.
The above is only for the purpose of assisting understanding of the technical aspects of the present invention, and does not represent an admission that the above is prior art.
Disclosure of Invention
The invention mainly aims to provide a program resource recommendation method, a device, equipment and a storage medium, and aims to solve the technical problems that in the prior art, a user can only search interested programs through random browsing and watch the programs, so that the operation is complicated and the experience is poor.
In order to achieve the above object, the present invention provides a program resource recommendation method, including the following steps:
when entering a program playing amount browsing mode, acquiring a program browsing type selected by a user;
counting program watching information of a television user in a preset time period, and determining a program resource list according to the program watching information;
and acquiring target program resources from the program resource list according to the program browsing type, and displaying the target program resources.
Optionally, the step of counting program viewing information of the television user within a preset time period and determining a program resource list according to the program viewing information further includes:
counting program watching information of a television user in a preset time period;
determining an initial program with the current playing amount larger than a preset playing amount according to the program watching information;
and classifying the initial programs according to the program types of the initial programs, and generating a program resource list according to the classification result.
Optionally, after the step of obtaining the program browsing type selected by the user when entering the program playing amount browsing mode, the method further includes:
when the program browsing type selected by the user is intelligent browsing, displaying a preset intelligent recommendation page;
acquiring intelligent recommendation parameters input by the user based on the intelligent recommendation page;
and screening out the intelligent recommended programs from the program viewing information according to the intelligent recommended parameters, and displaying the intelligent recommended programs.
Optionally, before the step of obtaining the program browsing type selected by the user when entering the program playing amount browsing mode, the method further includes:
acquiring a voice signal sent by a user;
identifying the voice signal to acquire a control instruction carried in the voice signal;
judging whether the control instruction is an instruction for entering a program playing amount browsing mode;
and starting a program playing amount browsing mode when the control instruction is an instruction for entering the program playing amount browsing mode.
Optionally, after the step of obtaining the target program resource from the program resource list according to the program browsing type and displaying the target program resource, the method further includes:
when a video switching instruction is received, acquiring a current video playing type;
when the current video playing type is to play the network television program, switching to a broadcast television playing mode, and acquiring a corresponding target program resource list;
and recommending the program for the user according to the target program resource list.
Optionally, after the step of obtaining the program browsing type selected by the user when entering the program playing amount browsing mode, the method further includes:
when the program browsing type selected by the user is real-time playing amount browsing, acquiring current program playing information;
sequencing the current programs according to the playing amount information in the playing information of the current programs to obtain a sequencing result;
and recommending program resources for the user according to the sequencing result.
Optionally, before the step of acquiring the program browsing type selected by the user when entering the program playing amount browsing mode, the method further includes:
when a starting-up instruction is detected, acquiring a historical play record;
determining a starting-up playing program and historical playing information corresponding to the starting-up playing program according to the historical playing record;
and playing the starting playing program according to the historical playing information.
In addition, to achieve the above object, the present invention further provides a program resource recommendation apparatus, including:
the acquisition module is used for acquiring the program browsing type selected by a user when entering a program playing amount browsing mode;
the statistical module is used for counting program watching information of a television user in a preset time period and determining a program resource list according to the program watching information;
and the display module is used for acquiring the target program resource from the program resource list according to the program browsing type and displaying the target program resource.
In addition, to achieve the above object, the present invention further provides a program resource recommendation device, including: a memory, a processor and a program resource recommender stored on the memory and operable on the processor, the program resource recommender being configured to implement the steps of the program resource recommendation method as described above.
In addition, to achieve the above object, the present invention further provides a storage medium, which stores a program resource recommendation program, and the program resource recommendation program, when executed by a processor, implements the steps of the program resource recommendation method as described above.
The method comprises the steps of acquiring a program browsing type selected by a user; counting program watching information of a television user in a preset time period, and determining a program resource list according to the program watching information; and acquiring target program resources from the program resource list according to the program browsing type, and displaying the target program resources. The invention counts the program watching information of the television user in the preset time period, determines the program resource list and recommends programs for the user from the program resource list according to the program browsing type selected by the user. Compared with the conventional mode that the user randomly browses and searches the television program to be watched, the mode provided by the invention can recommend the program to the user according to the type selection and statistics of the user, and the experience of the user watching the television is improved. The problem that users want to watch television but cannot watch television in unavailable leisure is solved.
Drawings
Fig. 1 is a schematic structural diagram of a program resource recommendation device of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart illustrating a program resource recommendation method according to a first embodiment of the present invention;
FIG. 3 is a flowchart illustrating a program resource recommendation method according to a second embodiment of the present invention;
fig. 4 is a block diagram of a program resource recommendation apparatus according to a first embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a program resource recommendation device in a hardware operating environment according to an embodiment of the present invention.
As shown in fig. 1, the program resource recommendation apparatus may include: a processor 1001, such as a Central Processing Unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. Wherein a communication bus 1002 is used to enable connective communication between these components. The user interface 1003 may include a Display screen (Display), an input unit such as a Keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface, a wireless interface. The network interface 1004 may optionally include a standard wired interface, a Wireless interface (e.g., a Wireless-Fidelity (WI-FI) interface). The Memory 1005 may be a Random Access Memory (RAM) or a Non-Volatile Memory (NVM), such as a disk Memory. The memory 1005 may alternatively be a storage device separate from the processor 1001.
Those skilled in the art will appreciate that the configuration shown in FIG. 1 does not constitute a limitation of the program resource recommendation device and may include more or fewer components than shown, or some components may be combined, or a different arrangement of components.
As shown in fig. 1, a memory 1005, which is a storage medium, may include therein an operating system, a network communication module, a user interface module, and a program resource recommendation program.
In the program resource recommending apparatus shown in fig. 1, the network interface 1004 is mainly used for data communication with a network server; the user interface 1003 is mainly used for data interaction with a user; the processor 1001 and the memory 1005 of the program resource recommendation device of the present invention may be disposed in the program resource recommendation device, and the program resource recommendation device invokes the program resource recommendation program stored in the memory 1005 through the processor 1001 and executes the program resource recommendation method provided by the embodiment of the present invention.
Based on the program resource recommendation device, an embodiment of the present invention provides a program resource recommendation method, and referring to fig. 2, fig. 2 is a flowchart illustrating a first embodiment of the program resource recommendation method according to the present invention.
In this embodiment, the program resource recommendation method includes the following steps:
step S10: and when the program playing amount browsing mode is entered, acquiring the program browsing type selected by the user.
It should be noted that the execution subject of the embodiment may be a computing service device with data processing, network communication and program running functions, such as a mobile phone, a tablet computer, a personal computer, etc., or an electronic device or a smart television capable of implementing the above functions. The present embodiment and the following embodiments will be described below by taking the smart phone as an example.
It should be noted that the program playing amount browsing mode may be a mode for recommending program resources for the user, and the user may control the smart tv to enter the mode in a specific manner, for example, enter the mode by means of a hardware button on a remote controller, a menu entry in a home page, or a voice input. The program browsing types in the program playing amount browsing mode may include types of drama, anarchy, sports, news, random browsing, smart recommendation, and the like, and the program browsing type selected by the user may be any one of the above types or a combination of the types.
Further, in order to avoid the problem that the operation is complicated and the experience is not good when the user enters the program playing amount browsing mode, before the step S10, the method further includes:
acquiring a voice signal sent by a user; identifying the voice signal to acquire a control instruction carried in the voice signal; judging whether the control instruction is an instruction for entering a program playing amount browsing mode; and starting a program playing amount browsing mode when the control instruction is an instruction for entering the program playing amount browsing mode.
It should be noted that the voice signal may be a voice signal sent by a user for controlling the smart television, and may be a voice signal collection function triggered by the user through a specific voice, and then sends a voice signal, for example, the user triggers the voice information collection function through a talk start button on a remote controller, and then the smart television starts to collect voice information of the user, or starts the voice information collection function through a preset voice information collection function start instruction. For example, the user firstly gives out voice, namely, the voice information acquisition function is started, and after the intelligent television receives a voice information acquisition function starting instruction, the voice signal sent by the user is started to be acquired. The control instruction may be a control command for the smart television carried in the voice signal, for example, turning on or off the smart television, tuning, entering a different board, exiting, and the like. The embodiment is not limited herein.
In a specific implementation, when the intelligent television detects that the control instruction is an instruction for entering a program playing amount browsing mode, the intelligent television starts the program playing amount browsing mode, so as to enter the program playing amount browsing mode.
Step S20: and counting program watching information of the television user in a preset time period, and determining a program resource list according to the program watching information.
It should be noted that the preset time period may be a custom time period, and the program viewing information of the television user may be program information watched by all users watching television information within the preset time period, for example, a name, a play amount, a play time, a genre, and the like of a program. The program resource list may be a program resource list obtained by statistics according to information such as television program information and/or a user's viewing amount in the program viewing information.
Further, in order to enable the user to know the popular program information in the preset time period, after the step S10, the method further includes: when the program browsing type selected by the user is real-time playing amount browsing, acquiring current program playing information; sequencing the current programs according to the playing amount information in the playing information of the current programs to obtain a sequencing result; and recommending program resources for the user according to the sequencing result.
It should be understood that, the current programs are sequenced according to the real-time playing amount, so that the recommended programs are popular programs in the current time period, a user can know the current most popular programs or information in time, and the user experience is improved.
Step S30: and acquiring target program resources from the program resource list according to the program browsing type, and displaying the target program resources.
It should be noted that the program browsing types may be one or more types of programs that the user selects and wants to view. The target program resource may be a program resource corresponding to the program browsing type obtained from the program resource list, for example, the browsing type selected by the user is a comedy movie, and the program resource list includes not only a comedy movie but also a horror movie, a television, an art and other types of programs, so that the target program resource corresponding to the browsing type selected by the user needs to be obtained from the program resource list and displayed.
It should be understood that the target program resource may be displayed according to the program playing amount in the target program resource list, for example, three programs A, B and C are in the target program resource list, and the playing amounts in the preset time period are 10, 20 and 40, respectively, so that the C program with a high playing amount is preferentially displayed when being displayed. The target program resource may also be displayed in a manner of displaying the target program resource in blocks according to the size of the screen of the smart television, for example, the screen of the smart television is equally divided into preset equal parts, and each equal part displays one program resource. Or when the user clicks one program resource, displaying the related information of the program resource at a preset position of the smart television screen. The program may also be controlled to be played in a scrolling manner by up and down buttons of a remote controller, and the manner of displaying the target program resource may also be other manners, which is not limited herein.
Further, in order to make the recommended program resource more meet the user's expectation, after the step of obtaining the program browsing type selected by the user when entering the program playing amount browsing mode, the method further includes: when the program browsing type selected by the user is intelligent browsing, displaying a preset intelligent recommendation page; acquiring intelligent recommendation parameters input by the user based on the intelligent recommendation page; and screening out the intelligent recommended programs from the program viewing information according to the intelligent recommended parameters, and displaying the intelligent recommended programs.
It should be noted that the intelligent recommendation page may be a page for prompting the user to input or select the television information desired to be viewed according to the prompt information on the page, and the intelligent recommendation parameter may be a television parameter desired to be viewed by the user to input or select according to the prompt information on the page. For example, the television type, the film length, the showing time, etc. may be selected according to a drop-down box preset in the page, or a star or related information that the user wants to watch may be input, for example, a content with some name or shooting site information may be input. The intelligent recommended program may be a recommended program screened from program viewing information according to the intelligent recommendation parameter.
Further, in order to increase the experience of the user and enable the user to continuously watch the television program, the embodiment further includes: when a starting-up instruction is detected, acquiring a historical play record; determining a starting-up playing program and historical playing information corresponding to the starting-up playing program according to the historical playing record; and playing the starting playing program according to the historical playing information.
It should be noted that the history playing record may be a history record of programs watched by the user on the smart television. The startup playing program may be a program played by the smart television when the user just enters the smart television, and the playing program closest to the current time in the history record may be used as the startup playing program, and the history playing information may be playing information corresponding to the startup playing program and may include a playing progress of the startup playing program when the startup playing program is last played. Namely, the startup playing program can be automatically played according to the last playing progress when the smart television is started up according to the playing progress. The user can watch the television programs more conveniently and continuously, and the experience of the user is improved.
Further, in order to improve the user experience, after the step S30, the method further includes: when a video switching instruction is received, acquiring a current video playing type; when the current video playing type is to play the network television program, switching to a broadcast television playing mode, and acquiring a corresponding target program resource list; and recommending the program for the user according to the target program resource list.
It should be understood that, in order to improve the experience of the user, the present embodiment may also play the network television in addition to the broadcast television. The mode can be switched through left and right keys of a remote controller corresponding to the smart television, voice and the like, for example, when the current network television program is played, if a switching instruction sent by a user based on a preset key of the remote controller is detected, the mode is switched to another mode.
The embodiment acquires the program browsing type selected by the user; counting program watching information of a television user in a preset time period, and determining a program resource list according to the program watching information; and acquiring target program resources from the program resource list according to the program browsing type, and displaying the target program resources. In the embodiment, the program watching information of the television user in the preset time period is counted, the program resource list is determined, and the program is recommended to the user from the program resource list according to the program browsing type selected by the user. Compared with the existing mode of randomly browsing by the user and searching the television program to be watched, the mode of the embodiment can recommend the program to the user according to the type selection and statistics of the user, and the experience of the user in watching the television is improved. The problem that users want to watch television but cannot watch television in unavailable leisure is solved.
Referring to fig. 3, fig. 3 is a flowchart illustrating a program resource recommendation method according to a second embodiment of the present invention.
Based on the first embodiment described above, in the present embodiment, the step S20 includes:
step S201: and counting the program watching information of the television users in a preset time period.
It should be noted that the preset time period may be a custom time period, for example, if the preset time period is 5 minutes and the current time is 14:10, the program viewing information of the television user in the time period of 14:05-14:10 is counted. The program viewing information of the television user may be program information viewed by all users viewing the television information within a preset time period.
It should be understood that, the smart television of this embodiment may obtain the program watched by the current television user in real time by counting the program watching information of the user within a preset time period, and recommend the television program more suitable for the user to watch currently, where the preset time period may be set to 0, that is, the program watching information of the television user at the current time is counted.
Step S202: and determining the initial program with the current playing amount larger than the preset playing amount according to the program watching information.
It should be noted that the preset playing amount may be a customized playing amount threshold, which may be for screening out program resources with a larger playing amount to recommend, or may be set to 0, and when the preset playing amount is 0, all programs watched by the television user in a preset time period are taken as recommended programs, and the programs with a high playing amount are preferentially recommended in a manner of sorting according to the playing amount. The initial program may be a program having a play amount greater than the preset play amount.
Step S203: and classifying the initial programs according to the program types of the initial programs, and generating a program resource list according to the classification result.
It should be noted that the initial program may be a program whose playing amount is greater than the preset playing amount in a preset time period. The method may include different types of programs, and when program resources are recommended, the programs need to be recommended according to browsing types selected by a user, so that the initial programs need to be classified, the initial programs may be classified according to preset classification types, for example, if the preset classification types include drama, movie, and art, the types of the classification types to which the initial programs belong are determined and then classified, or the programs may be classified according to intelligent recommendation parameter information selected by the user, for example, if the user inputs a certain star to be watched and the duration of the television to be watched, the programs are screened and classified according to the intelligent recommendation parameters input by the user. In order to not occupy the resources of the user, the generated program resource list is stored in a background server, and the program watching information counting and the classifying process of the user are finished in the background so as to avoid occupying the resources of the user and influencing the experience of the user.
The embodiment counts the program watching information of the television user in a preset time period; determining an initial program with the current playing amount larger than a preset playing amount according to the program watching information; and classifying the initial programs according to the program types of the initial programs, and generating a program resource list according to the classification result. In the embodiment, the program watching information of the current television user can be acquired in real time by counting the program watching information of the television user in the preset time period, so that the recommended program resources are more in line with the expectation of the user.
Referring to fig. 4, fig. 4 is a block diagram illustrating a first embodiment of a program resource recommendation device according to the present invention.
As shown in fig. 4, the program resource recommendation apparatus provided in the embodiment of the present invention includes:
an obtaining module 10, configured to obtain a program browsing type selected by a user when entering a program playing amount browsing mode;
the statistical module 20 is configured to count program viewing information of a television user within a preset time period, and determine a program resource list according to the program viewing information;
and the display module 30 is configured to obtain a target program resource from the program resource list according to the program browsing type, and display the target program resource.
The embodiment acquires the program browsing type selected by the user; counting program watching information of a television user in a preset time period, and determining a program resource list according to the program watching information; and acquiring target program resources from the program resource list according to the program browsing type, and displaying the target program resources. In the embodiment, the program watching information of the television user in the preset time period is counted, the program resource list is determined, and the program is recommended to the user from the program resource list according to the program browsing type selected by the user. Compared with the existing mode of randomly browsing by the user and searching the television program to be watched, the mode of the embodiment can recommend the program to the user according to the type selection and statistics of the user, and the experience of the user in watching the television is improved. The problem that users want to watch television but cannot watch television in unavailable leisure is solved.
It should be noted that the above-described work flows are only exemplary, and do not limit the scope of the present invention, and in practical applications, a person skilled in the art may select some or all of them to achieve the purpose of the solution of the embodiment according to actual needs, and the present invention is not limited herein.
In addition, the technical details that are not described in detail in this embodiment may refer to the parameter operation method provided in any embodiment of the present invention, and are not described herein again.
Based on the first embodiment of the program resource recommendation device of the present invention, a second embodiment of the program resource recommendation device of the present invention is provided.
In this embodiment, the counting module 20 is further configured to count program viewing information of a television user within a preset time period; determining an initial program with the current playing amount larger than a preset playing amount according to the program watching information; and classifying the initial programs according to the program types of the initial programs, and generating a program resource list according to the classification result.
Further, the obtaining module 10 is further configured to display a preset intelligent recommendation page when the program browsing type selected by the user is intelligent browsing; acquiring intelligent recommendation parameters input by the user based on the intelligent recommendation page; and screening out the intelligent recommended programs from the program viewing information according to the intelligent recommended parameters, and displaying the intelligent recommended programs.
Further, the obtaining module 10 is further configured to obtain a voice signal sent by a user; identifying the voice signal to acquire a control instruction carried in the voice signal; judging whether the control instruction is an instruction for entering a program playing amount browsing mode; and starting a program playing amount browsing mode when the control instruction is an instruction for entering the program playing amount browsing mode.
Further, the display module 30 is further configured to obtain a current video playing type when receiving a video switching instruction; when the current video playing type is to play the network television program, switching to a broadcast television playing mode, and acquiring a corresponding target program resource list; and recommending the program for the user according to the target program resource list.
Further, the obtaining module 10 is further configured to obtain the current program playing information when the program browsing type selected by the user is real-time playing amount browsing; sequencing the current programs according to the playing amount information in the playing information of the current programs to obtain a sequencing result; and recommending program resources for the user according to the sequencing result.
Further, the obtaining module 10 is further configured to obtain a history playing record when a power-on instruction is detected; determining a starting-up playing program and historical playing information corresponding to the starting-up playing program according to the historical playing record; and playing the starting playing program according to the historical playing information.
Other embodiments or specific implementation manners of the program resource recommendation device of the present invention may refer to the above method embodiments, and are not described herein again.
In addition, an embodiment of the present invention further provides a storage medium, where a program resource recommendation program is stored on the storage medium, and the program resource recommendation program, when executed by a processor, implements the steps of the program resource recommendation method described above.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better implementation manner. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., a rom/ram, a magnetic disk, an optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The above description is only a preferred embodiment of the present invention, and not intended to limit the scope of the present invention, and all modifications of equivalent structures and equivalent processes, which are made by using the contents of the present specification and the accompanying drawings, or directly or indirectly applied to other related technical fields, are included in the scope of the present invention.
Claims (10)
1. A program resource recommendation method is characterized by comprising the following steps:
when entering a program playing amount browsing mode, acquiring a program browsing type selected by a user;
counting program watching information of a television user in a preset time period, and determining a program resource list according to the program watching information;
and acquiring target program resources from the program resource list according to the program browsing type, and displaying the target program resources.
2. The program resource recommendation method of claim 1, wherein the step of counting program viewing information of the television user within a preset time period and determining the program resource list according to the program viewing information further comprises:
counting program watching information of a television user in a preset time period;
determining an initial program with the current playing amount larger than a preset playing amount according to the program watching information;
and classifying the initial programs according to the program types of the initial programs, and generating a program resource list according to the classification result.
3. The method for recommending program resources of claim 2, wherein after the step of obtaining the program browsing type selected by the user when entering the program playing amount browsing mode, the method further comprises:
when the program browsing type selected by the user is intelligent browsing, displaying a preset intelligent recommendation page;
acquiring intelligent recommendation parameters input by the user based on the intelligent recommendation page;
and screening out the intelligent recommended programs from the program viewing information according to the intelligent recommended parameters, and displaying the intelligent recommended programs.
4. The program resource recommendation method of claim 1, wherein before the step of obtaining the program browsing type selected by the user when entering the program playing amount browsing mode, the method further comprises:
acquiring a voice signal sent by a user;
identifying the voice signal to acquire a control instruction carried in the voice signal;
judging whether the control instruction is an instruction for entering a program playing amount browsing mode;
and starting a program playing amount browsing mode when the control instruction is an instruction for entering the program playing amount browsing mode.
5. The method for recommending program resources of claim 1, wherein after the step of obtaining the target program resource from the program resource list according to the program browsing type and displaying the target program resource, further comprising:
when a video switching instruction is received, acquiring a current video playing type;
when the current video playing type is to play the network television program, switching to a broadcast television playing mode, and acquiring a corresponding target program resource list;
and recommending the program for the user according to the target program resource list.
6. The method for recommending program resources of claim 2, wherein after the step of obtaining the program browsing type selected by the user when entering the program playing amount browsing mode, the method further comprises:
when the program browsing type selected by the user is real-time playing amount browsing, acquiring current program playing information;
sequencing the current programs according to the playing amount information in the playing information of the current programs to obtain a sequencing result;
and recommending program resources for the user according to the sequencing result.
7. The program resource recommendation method according to any one of claims 1 to 6, wherein before the step of obtaining the program browsing type selected by the user when entering the program playing amount browsing mode, said method further comprises:
when a starting-up instruction is detected, acquiring a historical play record;
determining a starting-up playing program and historical playing information corresponding to the starting-up playing program according to the historical playing record;
and playing the starting playing program according to the historical playing information.
8. A program resource recommendation device, characterized in that the program resource recommendation device comprises:
the acquisition module is used for acquiring the program browsing type selected by a user when entering a program playing amount browsing mode;
the statistical module is used for counting program watching information of a television user in a preset time period and determining a program resource list according to the program watching information;
and the display module is used for acquiring the target program resource from the program resource list according to the program browsing type and displaying the target program resource.
9. A program resource recommendation device, characterized in that the device comprises: a memory, a processor and a program resource recommender stored on the memory and operable on the processor, the program resource recommender being configured to implement the steps of the program resource recommendation method according to any of claims 1 to 7.
10. A storage medium having a program resource recommender stored thereon, which when executed by a processor implements the steps of the program resource recommendation method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111036189.6A CN113747246A (en) | 2021-09-03 | 2021-09-03 | Program resource recommendation method, device, equipment and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111036189.6A CN113747246A (en) | 2021-09-03 | 2021-09-03 | Program resource recommendation method, device, equipment and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113747246A true CN113747246A (en) | 2021-12-03 |
Family
ID=78735771
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111036189.6A Pending CN113747246A (en) | 2021-09-03 | 2021-09-03 | Program resource recommendation method, device, equipment and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113747246A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114302182A (en) * | 2021-12-28 | 2022-04-08 | 未来电视有限公司 | Television program pushing method, device, equipment and storage medium |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060020973A1 (en) * | 2004-07-21 | 2006-01-26 | Hannum Sandra A | Method and system for presenting personalized television program recommendation to viewers |
| CN103634687A (en) * | 2013-12-23 | 2014-03-12 | 乐视致新电子科技（天津）有限公司 | Method and system of providing video retrieval results in intelligent television |
| CN105898399A (en) * | 2015-12-24 | 2016-08-24 | 乐视致新电子科技（天津）有限公司 | Video resource loading method and device and smart television |
| CN107995505A (en) * | 2017-12-14 | 2018-05-04 | 深圳Tcl新技术有限公司 | A kind of program continuous playing method, television equipment and computer-readable recording medium |
| CN112261463A (en) * | 2020-10-20 | 2021-01-22 | 海信视像科技股份有限公司 | Display device and program recommendation method |
| CN112333463A (en) * | 2020-09-27 | 2021-02-05 | 深圳Tcl新技术有限公司 | Program recommendation method, system, device and readable storage medium |
-
2021
- 2021-09-03 CN CN202111036189.6A patent/CN113747246A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060020973A1 (en) * | 2004-07-21 | 2006-01-26 | Hannum Sandra A | Method and system for presenting personalized television program recommendation to viewers |
| CN103634687A (en) * | 2013-12-23 | 2014-03-12 | 乐视致新电子科技（天津）有限公司 | Method and system of providing video retrieval results in intelligent television |
| CN105898399A (en) * | 2015-12-24 | 2016-08-24 | 乐视致新电子科技（天津）有限公司 | Video resource loading method and device and smart television |
| CN107995505A (en) * | 2017-12-14 | 2018-05-04 | 深圳Tcl新技术有限公司 | A kind of program continuous playing method, television equipment and computer-readable recording medium |
| CN112333463A (en) * | 2020-09-27 | 2021-02-05 | 深圳Tcl新技术有限公司 | Program recommendation method, system, device and readable storage medium |
| CN112261463A (en) * | 2020-10-20 | 2021-01-22 | 海信视像科技股份有限公司 | Display device and program recommendation method |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114302182A (en) * | 2021-12-28 | 2022-04-08 | 未来电视有限公司 | Television program pushing method, device, equipment and storage medium |
| CN114302182B (en) * | 2021-12-28 | 2023-10-20 | 未来电视有限公司 | Push method, device, equipment and storage medium for television programs |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP4423262B2 (en) | Content selection method and content selection device | |
| CN110087119B (en) | Live broadcast home page display method and device and computer readable storage medium | |
| RU2361370C2 (en) | Displaying personalised electronic programme guide (epg) with visual commentary | |
| JP3502114B2 (en) | Information service system | |
| JP4551566B2 (en) | Remote control device for program selection by genre | |
| JP5065291B2 (en) | Predicted popularity of cross-platform for use in interactive TV applications | |
| US20130167168A1 (en) | Systems and methods for providing custom movie lists | |
| CN108574857B (en) | Program recommendation method based on user behavior, smart television and storage medium | |
| US20110282759A1 (en) | Systems and methods for performing an action on a program or accessing the program from a third-party media content source | |
| JP2010528562A (en) | System and method for personalizing interactive media guidance applications | |
| US20110283320A1 (en) | Systems and methods for identifying a program using information from a third-party data source | |
| US8490138B2 (en) | Channel searching by content type | |
| JP2004513572A (en) | Method and apparatus for automatically generating query search terms for program recommendations | |
| CN104079996A (en) | Television program push method and equipment | |
| CN1386373A (en) | Method and system for determining a user profile | |
| CN109462765B (en) | Method and device for issuing and displaying recommended page | |
| US20110283209A1 (en) | Systems and methods for sharing information between widgets operating on the same user equipment | |
| CN113747246A (en) | Program resource recommendation method, device, equipment and storage medium | |
| WO2022012271A1 (en) | Display device and server | |
| JP6212404B2 (en) | Content distribution system | |
| CN106791996B (en) | Collection of drama playing method and device | |
| JP2008078946A (en) | Digital broadcast receiver | |
| WO2016138925A1 (en) | Image display device capable of automatically scanning alternative program contents with remote recording function | |
| JP2017167906A (en) | Device, method, and program for recommending tv programs | |
| CN113515340A (en) | Display control method of display device, and readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20211203 |