CN111353455A - Video content determination method and device, storage medium and electronic equipment - Google Patents
Video content determination method and device, storage medium and electronic equipment Download PDFInfo
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Abstract
The disclosure relates to the technical field of information display, in particular to a method and a device for determining video content, a computer readable storage medium and an electronic device, wherein the method comprises the following steps: acquiring characteristic information of a user in an event occurrence area range; taking the user adapted to the event as a target user according to the characteristic information; determining the incidence relation between the target user and each event participation main body, and calculating the weight of the target user of each event participation main body according to the incidence relation; and determining the video played in the event occurrence area according to the weight. The technical scheme of the embodiment of the disclosure overcomes the problems that the operation of the video content determination method in the prior art is difficult to match with sports content to adjust the atmosphere of a venue, and more human resources are wasted.
Description
Technical Field
The present disclosure relates to the field of information display technologies, and in particular, to a method and an apparatus for determining video content, a computer-readable storage medium, and an electronic device.
Background
With the development of the internet, videos related to athletic performance contents are played in many athletic occasions to improve the atmosphere in the area where the athletic activity occurs.
In the prior art, different contents are manually selected to be displayed according to the unused condition, the preference of on-site audiences is not considered, the operation is difficult, the atmosphere of a venue is difficult to be adjusted by matching with sports contents, and more human resources are wasted.
Therefore, there is a need for a new video content determining method and apparatus, a computer readable storage medium, and an electronic device.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The present disclosure aims to provide a video content determining method and apparatus, a computer-readable storage medium, and an electronic device, so as to overcome, at least to a certain extent, the problems that the video content determining method in the prior art is difficult to operate, and is difficult to match with sports content to adjust venue atmosphere, and more human resources are wasted.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.
According to a first aspect of the present disclosure, there is provided a video content determination method, including:
acquiring characteristic information of a user in an event occurrence area range;
taking the user adapted to the event as a target user according to the characteristic information;
determining an incidence relation between the target user and each event participation body, and calculating the weight of the target user of each event participation body according to the incidence relation;
and determining the video played in the event occurrence area according to the weight.
In an exemplary embodiment of the present disclosure, the event includes an event attribute, and targeting the user adapted to the event as the target user according to the feature information includes:
taking the user with the characteristic information matched with the event attribute as a reference user;
and taking a reference user related to one or more event participation subjects as a target user according to the characteristic information.
In an exemplary embodiment of the present disclosure, the method further comprises:
acquiring position information of a user;
judging whether the user is in the event occurrence area or not according to the position information;
and collecting the characteristic information of the user in the event occurrence area according to the judgment result.
In an exemplary embodiment of the present disclosure, acquiring the location information of the user includes:
acquiring historical data of the user accessing an event service platform through a user terminal;
and finishing the positioning of the user according to the historical data and the user terminal to acquire the position information of the user.
In an exemplary embodiment of the present disclosure, collecting the characteristic information of the user within the event occurrence area includes:
determining attribute information of the user according to the historical data information;
and collecting the characteristic information of the user in a database by using the attribute information.
In an exemplary embodiment of the present disclosure, the feature information includes a click rate of the user on the event within a preset time period, the number of times that the user logs in an event related platform, and the viewing amount of the user on a related file of each event participating subject.
In an exemplary embodiment of the present disclosure, determining an association relationship between the target user and each of the event participants includes:
determining the attention of the target user to each event participant according to the characteristic information;
and determining an association relation between the event participation main body with the highest attention degree and the target user.
In an exemplary embodiment of the present disclosure, the feature information includes a viewing amount of a user to a related file of each event participant, and determining the attention of a target user to each event participant according to the feature information includes:
determining the total number of related files of each event participating subject;
acquiring the reading amount of a user to the relevant files of each event participation main body;
and calculating the attention degree of the target user to each event participation subject by using the total amount and the browsing amount.
In an exemplary embodiment of the present disclosure, determining the video played in the event occurrence area according to the weight includes:
and determining the proportion of the video content of each event participant played in the event occurrence area according to the weight.
In an exemplary embodiment of the present disclosure, after determining a proportion of video content played by each of the event participant in the event occurrence area, the method further includes:
determining the unit switching time length of the played video;
and determining the time length for playing the video related to each event participation main body according to the occupation ratio and the unit switching time length.
In an exemplary embodiment of the present disclosure, the method further comprises:
and monitoring the change of the number of users in the event occurrence area in real time to update the characteristic information.
In an exemplary embodiment of the present disclosure, the event comprises an electronic competition, and the event participation subject comprises at least one of a personal competitor and a team.
In an exemplary embodiment of the present disclosure, the user includes a viewer watching the electronic competition within the event occurrence area.
In an exemplary embodiment of the present disclosure, the event includes a target task, and the method further includes:
detecting whether the event participates in the main body to trigger the target task or not;
and if the target task is detected to be triggered, playing a video related to the event participation main body triggering the target task in the event occurrence area.
According to an aspect of the present disclosure, there is provided a video content determining apparatus including:
the acquisition module is used for acquiring the characteristic information of the users in the event occurrence area;
the matching module takes the user matched with the event as a target user according to the characteristic information;
the calculation module is used for determining the incidence relation between the target user and each event participation body and calculating the weight of the target user of each event participation body according to the incidence relation;
and the determining module is used for determining the video played in the event occurrence area according to the weight.
According to an aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements a video content determination method as described in any one of the above.
According to an aspect of the present disclosure, there is provided an electronic device including:
a processor; and
memory storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the video content determination method as in any above.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects:
in the video content determining method provided by an embodiment of the present disclosure, a user adapted to an event is taken as a target user by obtaining feature information of the user in a time occurrence region and according to the feature information; determining the incidence relation between the target user and each event participation main body, and calculating the weight of the target user of each event participation main body according to the incidence relation; and determining the video played in the event occurrence area according to the weight. Compared with the prior art, the incidence relation between the characteristic information of the user and the event participation object is fully considered in determining the video content, the preference of the user can be fully considered, the atmosphere in the event occurrence area range can be well mobilized, on the other hand, the content played on the video screen is directly determined by the weight of the target user of each event participation main body, manual operation is not needed, the problem of serious waste of human resources is solved, errors caused by manual operation can be avoided, the played content is more accurate, and the user experience is further improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty. In the drawings:
fig. 1 schematically illustrates a flow chart of a video content determination method in an exemplary embodiment of the present disclosure;
FIG. 2 is a flow chart schematically illustrating the process of obtaining feature information of users in the event occurrence area in the exemplary embodiment of the present disclosure;
fig. 3 schematically shows a flowchart of targeting a user adapted to the event according to the feature information in an exemplary embodiment of the present disclosure;
FIG. 4 is a flow chart schematically illustrating determining an association relationship between the target user and each of the event participants in an exemplary embodiment of the present disclosure;
FIG. 5 schematically illustrates a flow chart for determining video playback content based on a target task in an exemplary embodiment of the present disclosure;
fig. 6 schematically illustrates a composition diagram of a video content determination apparatus in an exemplary embodiment of the present disclosure;
FIG. 7 schematically illustrates a structural diagram of a computer system suitable for use with an electronic device that implements an exemplary embodiment of the present disclosure;
fig. 8 schematically illustrates a schematic diagram of a computer-readable storage medium, according to some embodiments of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
In the exemplary embodiment, firstly, a video content determining method is provided, which may be applied to improve the atmosphere in the event occurrence area, for example, when applied to the field of electronic competition, the video content determining method may determine the proportion of live video to be played by showing the amount of the silks of each team and the attention of the live audience to each team. Referring to fig. 1, the video content determining method described above may include the steps of:
s110, acquiring characteristic information of users in an event occurrence area range;
s120, taking the user matched with the event as a target user according to the characteristic information;
s130, determining the incidence relation between the target user and each event participant, and calculating the weight of the target user of each event participant according to the incidence relation;
and S140, determining the video played in the event occurrence area according to the weight.
According to the video content determining method provided in the exemplary embodiment, compared with the prior art, the incidence relation between the characteristic information of the user and the event participation object is fully considered in determining the video content, the preference of the user can be fully considered, the atmosphere in the event occurrence area range can be better mobilized, on the other hand, the content played on the video screen is determined directly by the weight of the target user of each event participation main body, manual operation is not needed, the problem of serious waste of human resources is solved, some errors caused by manual operation can be avoided, the played content is more accurate, and the user experience is further improved.
Hereinafter, each step of the video content determining method in the present exemplary embodiment will be described in more detail with reference to the drawings and the embodiments.
Step S110, acquiring the characteristic information of the user in the event occurrence area range.
In an example embodiment of the present disclosure, as shown in fig. 2, the following steps S210 to S230 may be further included before acquiring the feature information of the user in the event occurrence area, which is set forth in detail below:
in step S210, location information of the user is acquired.
In an example embodiment of the present disclosure, the obtaining of the location information of the user may first obtain historical data of the user accessing the event service platform through the user terminal, and then complete the positioning of the user according to the historical data and the user terminal. The user terminal may be a mobile phone of a user, a tablet computer, or other terminal equipment with a positioning function, which is not specifically limited in this example embodiment.
In this exemplary embodiment, the attribute information of the user may be acquired in the database according to the history data, and the attribute information of the user may include a nickname, an avatar, and other information for distinguishing a difference between users, which is not specifically limited in this exemplary embodiment.
In the present exemplary embodiment, the event service platform may be a background server related to the event, and the user access time service platform may be a false access platform for the user to click into the event. For example, when the event is a game, the event service platform may be an online ticket selling platform, an online publicity platform, or the like of the game, and is not particularly limited in the present exemplary embodiment. The server acquires the position of the user terminal to acquire the position information of the user.
In step S220, it is determined whether the user is in the event occurrence area according to the location information.
After the position information of the user is acquired, the server judges whether the user is in the range of the event occurrence area, and acquires a judgment result.
In step S230, feature information of the user in the event occurrence area is collected according to the determination result.
And when the judgment result is that the user is in the event occurrence area, acquiring the characteristic information of the user.
In an example embodiment of the present disclosure, the feature information of the user may include a click rate of the user on the event within a preset time period, the number of times the user logs in the event-related platform, the amount of viewing of the user on the related files of the subject of event participation, the type of time the user likes, and the like, which is not particularly limited in this example embodiment.
In step S120, a user adapted to the event is taken as a target user according to the feature information;
in an example embodiment of the present disclosure, the event includes an event attribute, and the event attribute may include a type of the event, a preset occurrence time of the event, and the like, and the magenta is not specifically limited in the example embodiment of the present disclosure.
In the present exemplary embodiment, the step of taking the user adapted to the event as the target user according to the feature information, as shown in fig. 3, includes the following steps S310 to S320, which are explained in detail below:
in step S310, a user with the feature information adapted to the event attribute is used as a reference user;
and matching according to the characteristic information and the event attribute of the user, and taking the user with the characteristic information matched with the event attribute as a reference user. For example, the feature information of the user includes a click rate for a website related to the event, and browses the related information of the event, and when a type of a favorite event in the feature information of the user is matched with a time type in the event attribute, the user is determined as a reference user.
In step S320, a reference user related to one or more event participation subjects is taken as a target user according to the feature information.
In an example embodiment of the present disclosure, a reference user related to one or more event participation subjects is taken as a target user according to the feature information, that is, a reference user including related content regarding one or more event participation objects in the feature information is taken as a target user. For example, when the event is a game, the characteristic information of a certain user includes that historical game records about a plurality of event participation subjects are browsed on the web, and in this case, the reference user may be determined as a target user.
At S130, determining the incidence relation between the target user and each event participant, and calculating the weight of the target user of each event participant according to the incidence relation
In an example embodiment of the present disclosure, determining an association relationship between the target user and each of the event participation subjects, as shown in fig. 4, includes the following steps S410 to S420, which are set forth in detail below:
in step S410, the attention of the target user to each event participant is determined according to the feature information.
In an example embodiment of the present disclosure, the attention of the target user to each event participant may be determined according to characteristic information of the user, where the characteristic information may include a click rate of the user to the event within a preset time period, the number of times the user logs in an event related platform, the viewing amount of a file related to each event participant by the user, and the like. In this exemplary embodiment, there are various ways to determine the attention of the target user to each event participant according to the characteristic information of the user, for example, the server first determines the total number of the related files of each event participant, and then obtains the viewing amount of the target user to the related files of each event participant, that is, determines the viewing amount of the user to the related events of the event participant within a preset time, where the preset time may be seven days, or other time periods such as five days, ten days, one month, and the like, and is not specifically limited in this exemplary embodiment, and then, the ratio of the viewing amount of the user to the related events of the event participant within the preset time to the total number of the related files of the event participant may be used as the attention of the user to each event participant.
In step S420, an association relationship is determined between the event participation subject with the highest attention and the target user.
In an example embodiment of the present disclosure, after obtaining the attention of the target user to the event participation objects, the server may sort the attention according to the order of magnitude, and may select the event participation subject with the greatest attention to determine the association relationship with the target user.
In this exemplary embodiment, the number of target users corresponding to each event participation object may be determined, and then the weight of the target user of each event participation topic is calculated according to the number of the target users of each event participation object, specifically, the calculation may be to first calculate a ratio of the number of the target users of each event participation object, and then perform normalization processing to obtain the weight.
In step S140, the video played in the event occurrence area is determined according to the weight.
In an example embodiment of the present disclosure, the server may determine, according to the weight, a ratio of contents of each event participation topic played in the event occurrence area, specifically, may first determine a unit switching time for playing a video, where the unit switching time may be 10 seconds, or may be other times such as 5 seconds, 15 seconds, and is not specifically limited in this example embodiment.
In the present exemplary embodiment, after determining the occupation ratio and the unit switching time for playing the content of each event participation topic in the event occurrence area, the occupation ratio and the unit switching time may be used as the time length of playing each event participation object, which is related to the normal time, and the video may be played according to the time length.
In an example embodiment of the present disclosure, the event may be an electronic competition item, the event participation subject may be a team participating in the electronic competition item, and the event occurrence range may be a venue hosted by the electronic competition item, in which case the user may be a spectator in the venue. It should be noted that the events may also include other contents such as sports events, group star singing, etc., and are not specifically limited in this exemplary embodiment.
In an example embodiment of the present disclosure, the event includes a target task, and as shown in fig. 5, the video content determining method may further include the following steps:
step S510, detecting whether the event participation main body triggers the target task;
step S520, if it is detected that the target task is triggered, playing a video related to the event participation subject triggering the target task in the event occurrence area.
The following describes the above steps S510 to S520 in detail.
In step S510, it is detected whether the subject is involved in the event to trigger the target task.
In an example embodiment of the present disclosure, the server monitors in real time whether an event participates in a main body to trigger a target task, where the target task may be a task for each team to compete fairly to obtain a relevant gain in the event, for example, in an electronic competition, each team obtains a relatively important neutral resource, obtains a strongest gain, and the like, and is not limited in this example embodiment.
In step S520, if it is detected that the target task is triggered, playing a video related to the event participation subject triggering the target task in the event occurrence area.
In this example embodiment, if the server detects that a certain event participant triggers the target task, the server preferentially displays the video preset time of the event participant, where the preset time may be 10 seconds, 15 seconds, and the like, and is not specifically limited in this example embodiment.
It is noted that the above-mentioned figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
The following describes embodiments of the apparatus of the present disclosure, which may be used to perform the above-mentioned video content determining method of the present disclosure. Furthermore, in an exemplary embodiment of the present disclosure, a video content determination apparatus is also provided. Referring to fig. 6, the video content determining apparatus 600 includes: an acquisition module 610, a matching module 620, a calculation module 630, and a determination module 640.
The obtaining module 610 may be configured to obtain feature information of a user in an event occurrence area; the matching module 620 may be configured to take the user adapted to the event as a target user according to the feature information; the calculating module 630 may be configured to determine an association relationship between the target user and each event participant, and calculate a weight of the target user of each event participant according to the association relationship; the determining module 640 may be configured to determine the video played in the event occurrence area according to the weight.
For details that are not disclosed in the embodiments of the apparatus of the present disclosure, please refer to the embodiments of the video content determination method described above in the present disclosure for the details that are not disclosed in the embodiments of the apparatus of the present disclosure.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
In addition, in an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above video content determination is also provided.
As will be appreciated by one skilled in the art, aspects of the present disclosure may be embodied as a system, method or program product. Accordingly, various aspects of the present disclosure may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 700 according to such an embodiment of the present disclosure is described below with reference to fig. 7. The electronic device 700 shown in fig. 7 is only an example and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 7, electronic device 700 is embodied in the form of a general purpose computing device. The components of the electronic device 700 may include, but are not limited to: the at least one processing unit 710, the at least one memory unit 720, a bus 730 connecting different system components (including the memory unit 720 and the processing unit 710), and a display unit 740.
Wherein the storage unit stores program code that is executable by the processing unit 710 to cause the processing unit 710 to perform steps according to various exemplary embodiments of the present disclosure as described in the above section "exemplary methods" of this specification. For example, the processing unit 710 may perform step S110 as shown in fig. 1: acquiring characteristic information of a user in an event occurrence area range; s120: taking the user adapted to the event as a target user according to the characteristic information; s130: determining an incidence relation between the target user and each event participation body, and calculating the weight of the target user of each event participation body according to the incidence relation; s140: and determining the video played in the event occurrence area according to the weight.
As another example, the electronic device may implement the steps shown in fig. 1 to 5.
The storage unit 720 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)721 and/or a cache memory unit 722, and may further include a read only memory unit (ROM) 723.
The memory unit 720 may also include programs/utilities 724 having a set (at least one) of program modules 725, such program modules 725 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
The electronic device 700 may also communicate with one or more external devices 770 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 700, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 700 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 750. Also, the electronic device 700 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network such as the internet) via the network adapter 760. As shown, the network adapter 760 communicates with the other modules of the electronic device 700 via the bus 730. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 700, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the present disclosure may also be implemented in the form of a program product comprising program code for causing a terminal device to perform the steps according to various exemplary embodiments of the present disclosure described in the "exemplary methods" section above of this specification, when the program product is run on the terminal device.
Referring to fig. 8, a program product 800 for implementing the above method according to an embodiment of the present disclosure is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, and may be run on a terminal device, such as a personal computer. However, the program product of the present disclosure is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
Furthermore, the above-described figures are merely schematic illustrations of processes included in methods according to exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is to be limited only by the terms of the appended claims.
Claims (17)
1. A method for video content determination, comprising:
acquiring characteristic information of a user in an event occurrence area range;
taking the user adapted to the event as a target user according to the characteristic information;
determining an incidence relation between the target user and each event participation body, and calculating the weight of the target user of each event participation body according to the incidence relation;
and determining the video played in the event occurrence area according to the weight.
2. The method of claim 1, wherein the event comprises an event attribute, and wherein targeting the user adapted to the event as the target user according to the feature information comprises:
taking the user with the characteristic information matched with the event attribute as a reference user;
and taking a reference user related to one or more event participation subjects as a target user according to the characteristic information.
3. The method of claim 1, further comprising:
acquiring position information of a user;
judging whether the user is in the event occurrence area or not according to the position information;
and collecting the characteristic information of the user in the event occurrence area according to the judgment result.
4. The method of claim 3, wherein obtaining location information of a user comprises:
acquiring historical data of the user accessing an event service platform through a user terminal;
and finishing the positioning of the user according to the historical data and the user terminal to acquire the position information of the user.
5. The method of claim 4, wherein collecting characteristic information of users within the event occurrence area comprises:
determining attribute information of the user according to the historical data information;
and collecting the characteristic information of the user in a database by using the attribute information.
6. The method of claim 1, wherein the characteristic information includes a click rate of the user on the event within a preset time period, a number of times the user logs in an event-related platform, and a viewing amount of the user on a file related to each event participant.
7. The method of claim 1, wherein determining an associative relationship between the target user and each of the event participants comprises:
determining the attention of the target user to each event participant according to the characteristic information;
and determining an association relation between the event participation main body with the highest attention degree and the target user.
8. The method of claim 7, wherein the characteristic information includes a viewing amount of a user to a file related to each event participant, and wherein determining the attention of a target user to each event participant according to the characteristic information includes:
determining the total number of related files of each event participating subject;
acquiring the reading amount of a user to the relevant files of each event participation main body;
and calculating the attention degree of the target user to each event participation subject by using the total amount and the browsing amount.
9. The method of claim 1, wherein determining the video played in the event occurrence area according to the weight comprises:
and determining the proportion of the video content of each event participant played in the event occurrence area according to the weight.
10. The method of claim 8, wherein after determining the proportion of the video content played by each of the event participant in the event occurrence area, the method further comprises:
determining the unit switching time length of the played video;
and determining the time length for playing the video related to each event participation main body according to the occupation ratio and the unit switching time length.
11. The method of claim 1, further comprising:
and monitoring the change of the number of users in the event occurrence area in real time to update the characteristic information.
12. The method of claim 1, wherein the event comprises an electronic competition and the event participant comprises at least one of a personal competitor and a team.
13. The method of claim 12, wherein the user comprises a viewer watching the electronic competition within the event occurrence area.
14. The method of any of claims 1-13, wherein the event comprises a target task, the method further comprising:
detecting whether the event participates in the main body to trigger the target task or not;
and if the target task is detected to be triggered, playing a video related to the event participation main body triggering the target task in the event occurrence area.
15. A video content determining apparatus, comprising:
the acquisition module is used for acquiring the characteristic information of the users in the event occurrence area;
the matching module takes the user matched with the event as a target user according to the characteristic information;
the calculation module is used for determining the incidence relation between the target user and each event participation body and calculating the weight of the target user of each event participation body according to the incidence relation;
and the determining module is used for determining the video played in the event occurrence area according to the weight.
16. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out a video content determination method according to any one of claims 1 to 14.
17. An electronic device, comprising:
a processor; and
memory for storing one or more programs which, when executed by the one or more processors, cause the one or more processors to implement the video content determination method of any of claims 1 to 14.
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| CN111353455B (en) | 2024-05-28 |
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