CN115278318B - Program forecast information processing method, system and electronic device - Google Patents
Program forecast information processing method, system and electronic device Download PDFInfo
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- CN115278318B CN115278318B CN202210801055.7A CN202210801055A CN115278318B CN 115278318 B CN115278318 B CN 115278318B CN 202210801055 A CN202210801055 A CN 202210801055A CN 115278318 B CN115278318 B CN 115278318B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—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
- H04N21/262—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists
- H04N21/26283—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists for associating distribution time parameters to content, e.g. to generate electronic program guide data
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—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
- H04N21/431—Generation of visual interfaces for content selection or interaction; Content or additional data rendering
- H04N21/4312—Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
- H04N21/4314—Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations for fitting data in a restricted space on the screen, e.g. EPG data in a rectangular grid
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/482—End-user interface for program selection
- H04N21/4825—End-user interface for program selection using a list of items to be played back in a given order, e.g. playlists
Abstract
The application discloses a processing method, a system and electronic equipment of program forecast information, wherein the method can add first-type event information obtained from each website and second-type event information obtained from the program forecast information into final program forecast information, so that the finally formed program forecast information contains event information of different data sources, thereby enriching the program forecast information and improving user experience.
Description
Technical Field
The present application relates to the field of electronic technologies, and in particular, to a method and a system for processing program forecast information, and an electronic device.
Background
Currently, with the development of internet technology, users can watch various types of programs through the internet, such as sports programs that can be watched through the internet, and sports programs are also receiving widespread attention and enjoyment from young people. The global effects of events such as football world cups and NBA basketball tournaments are large, many people watch sports events through the Internet, some athletes like some teams often pay attention to related teams or related athletes, in event programs broadcast through the modes such as networks, satellite signals, cable signals and ground signals, the program forecast information is used as important propaganda information, and users can acquire the related conditions of related events through the program forecast information, however, at present, the program forecast information of the event programs is often only simply written, so that users cannot know more event information, and user experience is poor.
Disclosure of Invention
The application provides a processing method, a system and electronic equipment of program forecast information, which are used for supplementing traditional program forecast information through program information acquired by a network, thereby improving the comprehensiveness of the program forecast information and improving the user experience, and specifically comprise the following steps:
in a first aspect, the present application provides a method for processing program forecast information, the method including:
receiving a first request sent by a terminal and used for requesting program forecast information, wherein the first request at least comprises a program identifier;
acquiring first type event information and second type event information associated with the program identification based on the program identification in the first request, wherein the first type event information and the second type event information are different event information;
and combining and associating the first type information with the second type event information to generate program forecast information, and sending the generated program forecast information to the terminal.
By the method, the first type of event information and the second type of event information can be added into the corresponding program forecast information, and the two types of event information are event information with different data sources, so that the finally formed program forecast information has the event information with different data sources, and the program information acquired by a network supplements the traditional program forecast information, thereby improving the comprehensiveness of the program forecast information and improving the user experience.
In one possible design, before receiving the first request sent by the terminal for requesting the program forecast information, the method further includes:
acquiring event information in each website, classifying the event information in each website, and associating the event information of each category with a corresponding program identifier to obtain the first-type event information; and
and acquiring the forecast information of each program forecast, classifying all the forecast information, and associating each category of forecast information with the corresponding program identifier to obtain the second-type event information.
In one possible design, classifying event information in each website includes:
determining ineffective event information from event information acquired from each website, and filtering the ineffective event information to obtain all effective event information;
and classifying all the effective event information according to preset categories.
In one possible design, combining and associating the first type of information with the second type of event information includes:
calling out a program forecast information template;
and adding the first type of event information and the second type of event information to corresponding areas of the program forecast information template.
In a second aspect, the present application provides a processing system for program forecast information, the system comprising:
the receiving module is used for receiving a first request which is sent by the terminal and used for requesting program forecast information, wherein the first request at least comprises a program identifier;
the acquisition module is used for acquiring first type event information and second type event information associated with the program identification based on the program identification in the first request, wherein the first type event information and the second type event information are different event information;
and the processing module is used for combining and associating the first type information with the second type event information, generating program forecast information and sending the generated program forecast information to the terminal.
In one possible design, the acquiring module is specifically configured to acquire event information in each website, classify the event information in each website, and associate each type of event information with a corresponding program identifier to obtain the first type of event information; and
and acquiring the forecast information of each program forecast, classifying all the forecast information, and associating each category of forecast information with the corresponding program identifier to obtain the second-type event information.
In one possible design, the acquiring module is specifically configured to determine ineffective event information from event information acquired in each website, and filter the ineffective event information to obtain all effective event information;
and classifying all the effective event information according to preset categories.
In one possible design, the processing module is specifically configured to retrieve a program forecast information template;
and adding the first type of event information and the second type of event information to corresponding areas of the program forecast information template.
In a third aspect, the present application provides an electronic device, comprising:
a memory for storing a computer program;
and the processor is used for realizing the steps of the processing method of the program forecast information when executing the computer program stored in the memory.
In a fourth aspect, the present application provides a computer readable storage medium, wherein a computer program is stored in the computer readable storage medium, and the computer program when executed by a processor implements the steps of a method for processing program forenotice information.
The technical effects of each of the second to fourth aspects and the technical effects that may be achieved by each aspect are referred to above for the technical effects that may be achieved by the first aspect or each possible aspect in the first aspect, and the detailed description is not repeated here.
Drawings
FIG. 1 is a flow chart of a method for processing program forecast information provided by the application;
FIG. 2 is a schematic diagram of a system for processing program forecast information according to the present application;
fig. 3 is a schematic structural diagram of an electronic device according to the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings. The specific method of operation in the method embodiment may also be applied to the device embodiment or the system embodiment. In the description of the present application, "a plurality of" means "at least two". "and/or", describes an association relationship of an association object, and indicates that there may be three relationships, for example, a and/or B, and may indicate: a exists alone, A and B exist together, and B exists alone. A is connected with B, and can be represented as follows: both cases of direct connection of A and B and connection of A and B through C. In addition, in the description of the present application, the words "first," "second," and the like are used merely for distinguishing between the descriptions and not be construed as indicating or implying a relative importance or order.
Embodiments of the present application will be described in detail below with reference to the accompanying drawings.
As shown in fig. 1, the method for processing program forecast information provided by the present application can expand and correlate the forecast information of each event program, so that the event program information contains more information, and the user experience is improved, and the method comprises the following specific steps:
s1, receiving a first request for requesting program forecast information sent by a terminal;
specifically, the live event programs in the modes of network signals, satellite signals, cable signals, ground signals and the like can be watched in a corresponding mode, so that a user can acquire the program forecast information of each type of event through the terminal with the network communication function, after the user performs corresponding operation on the terminal, the terminal sends a first request for requesting the program forecast information to the server, and the server receives the first request for requesting the program forecast information sent by the terminal. It should be noted that the terminal includes, but is not limited to, a terminal for viewing a program through a network, and a terminal for viewing a live program through a satellite signal, a cable signal, a terrestrial signal, etc.
Further, in the embodiment of the present application, in order to enable a user to obtain more comprehensive and complete program forecast information, more event information needs to be obtained through other ways, specifically, in the embodiment of the present application, a server will obtain event information in each website, classify the event information in each website, and associate each type of event information with a corresponding program identifier to obtain first type of event information.
For example, the server may extract event information related to a sports event from each website, where the event information includes at least information related to a type of event, a team, an athlete, a course, and the like, where the event information is information related to the sports event, and then associate the event information with a program identifier, where the program identifier may be a program name or a satellite program parameter.
In addition to the first type of event information described above, second type of event information is also required. Specifically, the server acquires the forenotice information of each program forenotice, classifies all the forenotice information, and associates each category of forenotice information with a corresponding program identifier to obtain second-type event information. The advance notice information includes at least event program poster information, association data, and the like, and the advance notice information is associated with a program name to obtain second-type event information.
For example, the event program is an NBA basketball game, and the first type of event information is information about the NBA basketball game obtained by the server from various websites, such as game name, team of game, team player, basketball game time, etc. And correcting and cleaning the obtained information, and correlating the finally obtained effective data with the NBA basketball game name, so as to obtain first-type event information.
In addition, the server extracts team, video data, poster data and the like from the forecast information of the program forecast of the NBA basketball game, then correlates the extracted data with the NBA basketball game name to obtain second-type event information, finally correlates the first-type event information and the second-type event information with each other, and stores the correlated data in a database.
By the method, the event information on the network can be associated with the event information in the program forecast information, so that the program forecast information can be effectively expanded, the user can know the related information of the event more fully, and the use experience of the user is improved.
S2, acquiring first-type event information and second-type event information associated with the program identification based on the program identification in the first request;
after receiving the first request sent by the terminal, the server extracts a program identifier from the first request, where the program identifier may be a program name or a satellite program parameter. And screening out the first type event information and the second type event information associated with the program identification from the database based on the program identification. The association between the first type of event information and the second type of event information and the program identifier is already described in detail in step S1, and will not be described here again.
S3, combining and associating the first type of event with the second type of event information, generating program forecast information, and sending the generated program forecast information to the terminal.
Specifically, in step S2, the server screens out the first type of event information and the second type of event information corresponding to the program identifier in the database according to the program identifier, and associates the first type of event information with the second type of event information at this time. In the embodiment of the application, the association can be performed in the following way:
the program advance notice information template is called out, and the first type of event information and the second type of event information are added into the corresponding area of the program advance notice information template, for example, the program advance notice information template comprises a tournament name, a tournament team name, player information, a tournament time, a previous tournament video and the like. Based on the program forecast information template, the first type of event information and the second type of event information can be accurately added to corresponding positions, so that complete program forecast information is formed.
After forming the complete program announcement information, the formed program announcement information is sent to the corresponding terminal.
By the method, the first type of event information and the second type of event information can be added into the corresponding program forecast information templates, and the two types of event information are event information with different data sources, so that the finally formed program forecast information has the event information with different data sources, and the program forecast information is richer and the user experience is improved.
Based on the same inventive concept, the embodiment of the present application further provides a system for processing program forecast information, as shown in fig. 2, which is a schematic structural diagram of the system for processing program forecast information provided by the embodiment of the present application, where the system includes:
a receiving module 201, configured to receive a first request sent by a terminal and used for requesting program forecast information, where the first request at least includes a program identifier;
an obtaining module 202, configured to obtain first type event information and second type event information associated with the program identifier based on the program identifier in the first request, where the first type event information and the second type event information are different event information;
and the processing module 203 is configured to combine and associate the first type information with the second type event information, generate program forecast information, and send the generated program forecast information to the terminal.
By the device, the first type event information and the second type event information can be added into the corresponding program forecast information, so that the program forecast information formed finally is ensured, the program forecast information is richer, and the user experience is improved.
In one possible design, the obtaining module 202 is specifically configured to obtain event information in each website, classify the event information in each website, and associate each type of event information with a corresponding program identifier to obtain the first type of event information; and
and acquiring the forecast information of each program forecast, classifying all the forecast information, and associating each category of forecast information with the corresponding program identifier to obtain the second-type event information.
In one possible design, the acquiring module 202 is specifically configured to determine ineffective event information from event information acquired in each website, and filter the ineffective event information to obtain all effective event information;
and classifying all the effective event information according to preset categories.
In one possible design, the processing module 203 is specifically configured to retrieve a program advance notice information template;
and adding the first type of event information and the second type of event information to corresponding areas of the program forecast information template.
Based on the same inventive concept, the embodiment of the present application further provides an electronic device, where the electronic device may implement the function of the output device of the foot drop area, and referring to fig. 3, the electronic device includes:
at least one processor 301, and a memory 302 connected to the at least one processor 301, a specific connection medium between the processor 301 and the memory 302 is not limited in the embodiment of the present application, and in fig. 3, the connection between the processor 301 and the memory 302 through the bus 300 is taken as an example. Bus 300 is shown in bold lines in fig. 3, and the manner in which the other components are connected is illustrated schematically and not by way of limitation. The bus 300 may be divided into an address bus, a data bus, a control bus, etc., and is represented by only one thick line in fig. 3 for convenience of illustration, but does not represent only one bus or one type of bus. Alternatively, the processor 301 may be referred to as a controller, and the names are not limited.
In the embodiment of the present application, the memory 302 stores instructions executable by the at least one processor 301, and the at least one processor 301 may execute a method for processing program forecast information as described above by executing the instructions stored in the memory 302. Processor 301 may implement the functions of the various modules in the system shown in fig. 2.
The processor 301 is a control center of the apparatus, and may connect various parts of the entire control device using various interfaces and lines, and by executing or executing instructions stored in the memory 302 and invoking data stored in the memory 302, various functions of the apparatus and processing data, thereby performing overall monitoring of the apparatus.
In one possible design, processor 301 may include one or more processing units, and processor 301 may integrate an application processor and a modem processor, where the application processor primarily processes operating systems, user interfaces, application programs, and the like, and the modem processor primarily processes wireless communications. It will be appreciated that the modem processor described above may not be integrated into the processor 301. In some embodiments, processor 301 and memory 302 may be implemented on the same chip, and in some embodiments they may be implemented separately on separate chips.
The processor 301 may be a general purpose processor such as a Central Processing Unit (CPU), digital signal processor, application specific integrated circuit, field programmable gate array or other programmable logic device, discrete gate or transistor logic device, discrete hardware components, which may implement or perform the methods, steps and logic blocks disclosed in embodiments of the application. The general purpose processor may be a microprocessor or any conventional processor or the like. The steps of a processing method for program forecast information disclosed in connection with the embodiment of the application can be directly embodied as being executed by a hardware processor or be executed by a combination of hardware and software modules in the processor.
The memory 302 serves as a non-volatile computer-readable storage medium that can be used to store non-volatile software programs, non-volatile computer-executable programs, and modules. The Memory 302 may include at least one type of storage medium, which may include, for example, flash Memory, hard disk, multimedia card, card Memory, random access Memory (Random Access Memory, RAM), static random access Memory (Static RandomAccess Memory, SRAM), programmable Read-Only Memory (Programmable Read Only Memory, PROM), read-Only Memory (ROM), charged erasable programmable Read-Only Memory (Electrically Erasable Programmable Read-Only Memory), magnetic Memory, magnetic disk, optical disk, and the like. Memory 302 is any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited to such. The memory 302 in embodiments of the present application may also be circuitry or any other device capable of performing memory functions for storing program instructions and/or data.
By programming the processor 301, codes corresponding to the processing method of the program forecast information described in the foregoing embodiment can be solidified into a chip, so that the chip can execute the steps of the processing method of the program forecast information in the embodiment shown in fig. 1 at the time of operation. How to design and program the processor 301 is a technology well known to those skilled in the art, and will not be described in detail herein.
Based on the same inventive concept, the embodiments of the present application also provide a storage medium storing computer instructions that, when executed on a computer, cause the computer to perform a processing method of the program forecast information as described above.
In some possible embodiments, aspects of a method for processing program forecast information provided by the present application may also be implemented in the form of a program product, which includes program code for causing the control apparatus to execute the steps in the method for processing program forecast information according to the various exemplary embodiments of the present application described in the present specification, when the program product is run on the device.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
It will be apparent to those skilled in the art that various modifications and variations can be made to the present application without departing from the spirit or scope of the application. Thus, it is intended that the present application also include such modifications and alterations insofar as they come within the scope of the appended claims or the equivalents thereof.
Claims (8)
1. A method for processing program advance notice information, the method comprising:
receiving a first request sent by a terminal and used for requesting program forecast information, wherein the first request at least comprises a program identifier;
acquiring first type event information and second type event information associated with the program identification based on the program identification in the first request, wherein the first type event information and the second type event information are event information with different data sources;
combining and associating the first type information with the second type event information to generate program forecast information, and sending the generated program forecast information to the terminal;
before receiving the first request for requesting the program forecast information sent by the terminal, the method further comprises:
acquiring event information in each website, classifying the event information in each website, and associating the event information of each category with a corresponding program identifier to obtain the first-type event information; and
and acquiring the forecast information of each program forecast, classifying all the forecast information, and associating each category of forecast information with the corresponding program identifier to obtain the second-type event information.
2. The method of claim 1, wherein classifying event information in each website includes:
determining ineffective event information from event information acquired from each website, and filtering the ineffective event information to obtain all effective event information;
and classifying all the effective event information according to preset categories.
3. The method of claim 1, wherein combining the first type of information with the second type of event information includes:
calling out a program forecast information template;
and adding the first type of event information and the second type of event information to corresponding areas of the program forecast information template.
4. A system for processing program forecast information, said system comprising:
the receiving module is used for receiving a first request which is sent by the terminal and used for requesting program forecast information, wherein the first request at least comprises a program identifier;
the acquisition module is used for acquiring first type event information and second type event information associated with the program identification based on the program identification in the first request, wherein the first type event information and the second type event information are different event information;
the processing module is used for combining and associating the first type information with the second type event information, generating program forecast information and sending the generated program forecast information to the terminal;
the acquisition module is specifically configured to acquire event information in each website, classify the event information in each website, and associate each category of event information with a corresponding program identifier to obtain the first category of event information; and
and acquiring the forecast information of each program forecast, classifying all the forecast information, and associating each category of forecast information with the corresponding program identifier to obtain the second-type event information.
5. The system of claim 4, wherein the acquisition module is specifically configured to determine invalid event information from event information acquired in each website, and filter the invalid event information to obtain all valid event information;
and classifying all the effective event information according to preset categories.
6. The system of claim 4, wherein the processing module is configured to retrieve a program forecast information template;
and adding the first type of event information and the second type of event information to corresponding areas of the program forecast information template.
7. An electronic device, comprising:
a memory for storing a computer program;
a processor for carrying out the method steps of any one of claims 1-3 when executing a computer program stored on said memory.
8. A computer-readable storage medium, characterized in that the computer-readable storage medium has stored therein a computer program which, when executed by a processor, implements the method steps of any of claims 1-3.
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