WO2019001166A1 - 电视广告推荐方法、系统及电子设备 - Google Patents

电视广告推荐方法、系统及电子设备 Download PDF

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Publication number
WO2019001166A1
WO2019001166A1 PCT/CN2018/087500 CN2018087500W WO2019001166A1 WO 2019001166 A1 WO2019001166 A1 WO 2019001166A1 CN 2018087500 W CN2018087500 W CN 2018087500W WO 2019001166 A1 WO2019001166 A1 WO 2019001166A1
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advertisement
advertisements
period
interest
user
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PCT/CN2018/087500
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English (en)
French (fr)
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邓鹏�
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深圳市九洲电器有限公司
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25Management 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
    • H04N21/258Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866Management of end-user data
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing 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
    • H04N21/431Generation of visual interfaces for content selection or interaction; Content or additional data rendering
    • H04N21/4312Generation 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
    • H04N21/4316Generation 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 displaying supplemental content in a region of the screen, e.g. an advertisement in a separate window
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45Management 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
    • H04N21/466Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47End-user applications
    • H04N21/478Supplemental services, e.g. displaying phone caller identification, shopping application
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/81Monomedia components thereof
    • H04N21/812Monomedia components thereof involving advertisement data

Definitions

  • the present application relates to the field of digital television, and in particular, to a television advertisement recommendation method, system, and electronic device.
  • a television advertisement recommendation method provided by the application includes the following steps:
  • S20 obtaining an advertisement type in which an advertisement is to be played in a next advertisement period, and sorting advertisements to be played according to a user interest level from high to low, and obtaining a sort order;
  • S30 Arranging advertisements alternately at the beginning and the end of the advertisement period according to the sorting order, and re-adjusting the order in which the advertisements are played.
  • step S10 is specifically: acquiring the degree of interest of the user on the type of the advertisement according to the number of times the user switches to the same advertisement type and the playing duration of the advertisement of the same advertisement type, and the less the number of switching times, the longer the playing time is. Longer, the higher the level of interest.
  • the method further includes the step of: if the advertisements of the advertisement period are not the advertisements of interest to the user, continuing to obtain the advertisement types of the advertisements to be played after the advertisement period, sorting, obtaining the sort order, and then selecting according to the sort order Two advertisements of interest to the user in the middle position are exchanged with the beginning and the last two advertisements of the previous advertisement period.
  • the method further includes the steps of: pre-setting a plurality of filling advertisements of various durations, and detecting the actual duration of the advertising time of the two advertising periods after the exchange, if the actual duration is less than the total length of the advertising period, the same is adopted.
  • the padding advertisement of the duration is filled. If the actual duration is greater than the total length of the advertisement period, the last ranked advertisement in the advertisement period is cropped, so that the actual duration is equal to the total length of the advertisement period.
  • a television advertisement recommendation system provided by the application includes:
  • Interest level acquisition module to obtain the user's interest in different types of advertisements
  • the advertisement sorting module obtains the types of advertisements to be played in the next advertising period, and sorts the advertisements to be played according to the degree of user interest from high to low, and obtains the sorting order;
  • the advertisement adjustment module alternately arranges advertisements at the beginning and the end of the advertisement period according to the sorting order, and re-adjusts the order in which the advertisements are played.
  • the interest degree acquisition module acquires the user's interest level for the advertisement type according to the number of times the user switches to the same advertisement type and the duration of the advertisement of the same advertisement type in the set period. The less the number of handovers, the longer the playback duration is. The higher the level of interest.
  • the system further includes: an advertisement exchange module, if the advertisements of the advertisement period are not advertisements of interest to the user, continuing to obtain the advertisement types of the advertisements to be played after the advertisement period, sorting, obtaining the sort order, and then according to The sorting order picks out two advertisements of interest to the user in the middle position and exchanges the two advertisements at the beginning and the last of the previous advertisement period.
  • an advertisement exchange module if the advertisements of the advertisement period are not advertisements of interest to the user, continuing to obtain the advertisement types of the advertisements to be played after the advertisement period, sorting, obtaining the sort order, and then according to The sorting order picks out two advertisements of interest to the user in the middle position and exchanges the two advertisements at the beginning and the last of the previous advertisement period.
  • the system further includes: a duration adjustment module, which presets a plurality of fill advertisements of various durations, and after the swap, detects an actual duration of the advertisement time of the two advertisement periods, if the actual duration is less than the total length of the advertisement period, Then, the filling advertisements of the same duration are used for filling. If the actual duration is greater than the total length of the advertising period, the last ranked advertisement in the advertising period is cropped, so that the actual duration is equal to the total length of the advertising period.
  • a duration adjustment module which presets a plurality of fill advertisements of various durations, and after the swap, detects an actual duration of the advertisement time of the two advertisement periods, if the actual duration is less than the total length of the advertisement period, Then, the filling advertisements of the same duration are used for filling. If the actual duration is greater than the total length of the advertising period, the last ranked advertisement in the advertising period is cropped, so that the actual duration is equal to the total length of the advertising period.
  • An electronic device provided by the present application includes:
  • At least one processor and,
  • the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform a television advertisement recommendation method as described above.
  • the present application provides a non-transitory computer readable storage medium storing computer executable instructions for causing an electronic device to perform a television advertisement as described above Recommended method.
  • a computer program product provided by the present application comprising: a computer program stored on a non-transitory computer readable storage medium, the computer program comprising program instructions, when the program instructions are executed by an electronic device, causing the electronic The device performs the television advertisement recommendation method as described above.
  • the television advertisement recommendation method, system and electronic device of the present application sorts the television advertisements by the degree of interest of the user on the television advertisement, and then re-adjusts the play order according to the sorting, according to the sorting order, starting from the beginning and ending positions of the advertisement period.
  • FIG. 1 is a flow chart of a television advertisement recommendation method in an embodiment
  • FIG. 2 is a structural diagram of a television advertisement recommendation system in an embodiment
  • FIG. 3 is a hardware configuration diagram of an electronic device in an embodiment.
  • FIG. 1 is a flowchart of a television advertisement recommendation method in an embodiment. As shown in FIG. 1, the method includes the following steps:
  • Step S10 Acquire the user's interest in different types of advertisements.
  • TV commercials broadcast on TV programs There are many types of TV commercials broadcast on TV programs, and users have different degrees of interest in different types of advertisements. For example, some users are very interested in electrical advertisements and are completely uninterested in drinks. Some users feel very much about skin care products. Interest, not interested in electrical appliances. The type of ad that the user is interested in will stay on, and if it is an ad type that is not of interest, the channel will be switched. In order to better recommend advertisements for users and enable users to obtain more advertisement information, it is first necessary to obtain the user's interest in different types of advertisements.
  • the step acquires the user's interest in the advertisement type according to the number of times the user switches to the same advertisement type and the duration of the advertisement of the same advertisement type in the set period.
  • some types of advertisements are switched to a few seconds and are classified as advertisements that are not of interest to the user.
  • Some types of advertisements are switched to be more interested in the user, and some types of advertisements are completely ignored after being read. Interested in.
  • Step S20 Obtain an advertisement type in which an advertisement is to be played in the next advertisement period, and sort the advertisements to be played according to the user interest level from high to low, and obtain a sort order.
  • This step captures the ad types of all the ads that will be played in the next time period, and sorts them according to the user's interest level from high to low, and obtains the sorting order, so that the user's interest level of the next advertisement can be intuitively understood, which is more convenient. Good recommendation.
  • Step S30 alternately arrange advertisements at the beginning and the end of the advertisement period according to the sorting order, and re-adjust the order in which the advertisements are played.
  • the advertising period is in the middle of two TV programs, usually at the end of the previous program (that is, before the beginning of the advertising period), the next program will start (that is, the end of the advertising period), which is the prime time of the advertising period, and users often After watching the advertisement for a period of time after the end of the previous program, the user will watch the TV advertisement for a certain period of time before the next program starts, so it is best to arrange advertisements with high user interest on these two nodes. Therefore, this step re-adjusts the order in which the advertisements are played, and alternately arranges the advertisements at the beginning and the end of the advertisement period according to the sorting order, so that the TV advertisements with high user interest are arranged at both ends of the advertisement period, thereby achieving very Good recommendation effect.
  • the method Also includes the steps:
  • the advertisements of the next advertisement period are not advertisements of interest to the user, continue to obtain and sort the advertisement types of the advertisements to be played in the advertisement period, obtain the sort order, and then select two advertisements of interest to the users in the middle position according to the sort order.
  • the advertisement of the intermediate position that the user is interested in later is switched to the beginning and the end of the next advertisement period, so that the advertisements that are interested in the latter but are not well-ordered can be seen by the user, and the user can directly switch channels to make the next advertisement period. Waste.
  • the two advertisements that are exchanged for each other will be different, there will be a difference in the length of time.
  • the advertisement period of the time period is 5 seconds
  • the advertisement time of the B advertisement period is 3 seconds.
  • the A advertisement period will have 2 seconds without any content
  • the B advertisement period will exceed the total duration of 2 seconds. This will affect the normal TV program or the broadcast of the TV commercial.
  • the method further includes: pre-setting a plurality of fill advertisements of various durations, and after the exchange, detecting the actual duration of the advertisement time of the two advertisement periods, if actual The duration is less than the total length of the advertising period, and is filled with the filling advertisement of the same duration. If the actual duration is greater than the total length of the advertising period, the last ranked advertisement in the advertising period is cropped, so that the actual duration is equal to the total length of the advertising period. In this way, through the filling of the preset fill advertisements and the tailoring of the minimum advertisements that are of interest to the users, the total length of the advertisement period is not changed, the user does not feel the change, and the television programs and advertisements are not affected.
  • the television advertisement recommendation method the television advertisements are sorted by the user's interest in the television advertisements, and then the television advertisements are re-adjusted according to the order, and the television advertisements are alternately arranged according to the sorting order from the beginning and the end of the advertisement period.
  • the application also provides a television advertisement recommendation system, as shown in FIG. 2, the system includes:
  • the interest level acquisition module 100 acquires the user's degree of interest in different types of advertisements.
  • the interest degree acquisition module 100 first needs to acquire the user's interest in different advertisement types.
  • the interest degree acquisition module 100 acquires the user's interest level for the advertisement type according to the number of times the user switches to the same advertisement type and the duration of the advertisement of the same advertisement type. The less the number of handovers, the longer the playback duration is. The higher the level of interest. For example, some types of advertisements are switched to a few seconds and are classified as advertisements that are not of interest to the user. Some types of advertisements are switched to be more interested in the user, and some types of advertisements are completely ignored after being read. Interested in.
  • the advertisement sorting module 200 obtains an advertisement type in which an advertisement is to be played in the next advertisement period, and sorts the advertisements to be played according to the user interest level from high to low, and obtains a sort order.
  • the advertisement sorting module 200 acquires the advertisement types of all the advertisements to be played in the next time period, and sorts according to the user interest level from high to low, and obtains the sorting order, so that the user's interest level of the next advertisement can be intuitively understood and facilitated. Better recommendation.
  • the advertisement adjustment module 300 alternately arranges advertisements at the beginning and the end of the advertisement period according to the sorting order, and re-adjusts the order in which the advertisements are played.
  • the advertising period is in the middle of two TV programs, usually at the end of the previous program (that is, before the beginning of the advertising period), the next program will start (that is, the end of the advertising period), which is the prime time of the advertising period, and users often After watching the advertisement for a period of time after the end of the previous program, the user will watch the TV advertisement for a certain period of time before the next program starts, so it is best to arrange advertisements with high user interest on these two nodes. Therefore, the advertisement adjustment module 300 re-adjusts the playing order of the advertisements, and arranges the advertisements alternately at the beginning and the end of the advertising period according to the sorting order, so that the TV advertisements with high user interest are arranged at both ends of the advertising period, thereby Achieve good recommendations.
  • the system Also includes:
  • the advertisement exchange module if the advertisements of the next advertisement period are not the advertisements of interest to the user, continue to obtain the advertisement types of the advertisements to be played after the advertisement period, sort them, obtain the sort order, and then select the intermediate position users according to the sort order.
  • the two ads are swapped with the beginning and last two ads of the previous ad slot. In this way, the advertisement of the intermediate position that the user is interested in later is switched to the beginning and the end of the next advertisement period, so that the advertisements that are interested in the latter but are not well-ordered can be seen by the user, and the user can directly switch channels to make the next advertisement period. Waste.
  • the system also includes: a time adjustment module, which presets a plurality of fill advertisements of various durations, and after the exchange, detects the actual advertisement time of the two advertisement periods.
  • the filling is filled with the same duration. If the actual length is greater than the total length of the advertising period, the last ranked advertisement in the advertising period is cropped, so that the actual duration is equal to the advertising period. The total length. In this way, through the filling of the preset fill advertisements and the tailoring of the minimum advertisements that are of interest to the users, the total length of the advertisement period is not changed, the user does not feel the change, and the television programs and advertisements are not affected.
  • the television advertisement recommendation system sorts the television advertisements by the user's interest in the television advertisements, and then re-adjusts the order of the television advertisements according to the sorting, and alternately arranges the television advertisements according to the sorting order from the beginning and the end of the advertisement period, fully Use the prime time of the advertising time to display the TV advertisements that users are interested in, to avoid the direct change of the TV, so that the behind TV advertisements can not be seen, avoiding the waste of cost and cost, so that users can see the advertisements of interest, very good. Get advertising and product information.
  • the present application also provides an electronic device, which may be any type of electronic device, such as a television set, a set top box, or the like.
  • the electronic device 400 includes:
  • One or more processors 401 and memory 402 are exemplified by one processor 401 in FIG.
  • the processor 401 and the memory 402 can be connected by a bus or other means, and the connection by a bus is taken as an example in FIG.
  • the memory 402 is used as a non-transitory computer readable storage medium, and can be used for storing a non-transitory software program, a non-transitory computer executable program, and a module, such as a program instruction/module corresponding to the television advertisement recommendation method in the embodiment of the present application.
  • a module such as a program instruction/module corresponding to the television advertisement recommendation method in the embodiment of the present application.
  • the processor 401 executes various functional applications and data processing of the television advertisement recommendation system by running non-transitory software programs, instructions and modules stored in the memory 402, that is, implementing the television advertisement recommendation method of any of the above method embodiments.
  • the memory 402 can include a storage program area and a storage data area, wherein the storage program area can store an operating system, an application required for at least one function; the storage data area can store data created according to the use of the television advertisement recommendation system, and the like.
  • memory 402 can include high speed random access memory, and can also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device.
  • memory 402 can optionally include memory remotely located relative to processor 401, which can be connected to electronic device 400 over a network. Examples of such networks include, but are not limited to, the Internet, intranets, local area networks, mobile communication networks, and combinations thereof.
  • the one or more modules are stored in the memory 402, and when executed by the one or more processors 401, perform a television advertisement recommendation method in any of the above method embodiments, for example, performing the above described FIG. In steps S10 to S30, the functions of the modules 100-300 in FIG. 2 are implemented.
  • the embodiment of the present application further provides a non-transitory computer readable storage medium storing computer executable instructions executed by one or more processors, for example, Executing, by one processor 401 in FIG. 3, the one or more processors may perform the television advertisement recommendation method in any of the foregoing method embodiments, for example, performing the method steps S10 to S30 in FIG. 1 described above, The functionality of modules 100-300 in Figure 2 is implemented.
  • the device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, ie may be located A place, or it can be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • the various embodiments can be implemented by means of software plus a general hardware platform, and of course, by hardware.
  • One of ordinary skill in the art can understand that all or part of the process of implementing the above embodiments can be completed by a computer program in a computer program product, and the computer program can be stored in a non-transitory computer.
  • the computer program includes program instructions that, when executed by the electronic device, cause the electronic device to perform the processes of the method embodiments as described above.
  • the storage medium may be a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).
  • the above-mentioned products can implement the television advertisement recommendation method provided by the embodiments of the present application, and have the corresponding functional modules and beneficial effects of executing the television advertisement recommendation method.
  • the television advertisement recommendation method provided by the embodiment of the present application.

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Abstract

本申请涉及一种电视广告推荐方法、系统及电子设备,通过用户对电视广告的兴趣程度来对电视广告进行排序,然后根据排序对电视广告重新调整播放顺序,根据排序顺序由广告时段开始和结束位置开始交替排布电视广告,充分利用广告时段的黄金时间来展示用户感兴趣的电视广告,避免用户直接换台导致后面的电视广告不能被看到,避免造成费用和成本的浪费,使用户能够看到感兴趣的广告,很好的获取广告和商品信息。

Description

电视广告推荐方法、系统及电子设备
相关申请的交叉参考
本申请要求于2017年06月30日提交中国专利局、申请号为201710521684.3、发明名称为“电视广告推荐方法及系统”的中国专利申请的优先权,其全部内容通过引用结合在本申请中。
技术领域
本申请涉及数字电视领域,尤其涉及一种电视广告推荐方法、系统及电子设备。
背景技术
目前,在电视节目播放电视广告已经成为一种常态,商家通过在电视节目中投放广告来宣传、推广、销售各种商品,用户从电视广告中获知商品的相应信息,认知购买各种商品。
现在的电视广告都是固定在特定时段特定时间播放,越黄金的时段广告的费用越高。但是由于电视广告数量过多,占用大量时间,这时用户对于不喜欢不感兴趣的电视广告会直接换台,切换到其他频道看其他电视节目或者电视广告,这样后面的电视广告用户就不会看到,对于广告商家来说广告没有被用户看到造成费用和成本的浪费,对于用户来说会错过后面可能存在的感兴趣的广告,不能很好的获取广告和商品信息,这都是极大的浪费。
发明内容
有鉴于此,有必要针对上述电视广告固定在特定时段播放,用户换台造成浪费的问题,提供一种电视广告推荐方法、系统及电子设备。
本申请提供的一种电视广告推荐方法,包括如下步骤:
S10:获取用户对不同广告类型的兴趣程度;
S20:获取接下来广告时段将要播放广告的广告类型,并根据用户兴趣程度由高到低对将要播放的广告进行排序,获取排序顺序;
S30:根据排序顺序在广告时段的开头和末尾交替排布广告,对广告的播放顺序进行重新调整。
进一步的,所述步骤S10具体为:根据设定周期内用户对同一广告类型的切换次数,及同一广告类型广告的播放时长来获取用户对该广告类型的兴趣程度,切换次数越少播放时长越长则兴趣程度越高。
进一步的,所述方法还包括步骤:若接下来广告时段的广告均不是用户感兴趣的广告,则继续获取之后广告时段将要播放广告的广告类型并进行排序,获取排序顺序,然后根据排序顺序挑选出中间位置用户感兴趣的两个广告与上一广告时段开始和最后的两个广告进行调换。
进一步的,所述方法还包括步骤:预先设置多个多种时长的填充广告,在调换后,检测两个广告时段的广告时间的实际时长,若实际时长少于广告时段的总长,则采用相同时长的填充广告进行填充,若实际时长大于广告时段的总长,则对该广告时段中排序最后的广告进行裁剪,使得实际时长等于广告时段的总长。
本申请提供的一种电视广告推荐系统,包括:
兴趣程度获取模块,获取用户对不同广告类型的兴趣程度;
广告排序模块,获取接下来广告时段将要播放广告的广告类型,并根据用户兴趣程度由高到低对将要播放的广告进行排序,获取排序顺序;
广告调整模块,根据排序顺序在广告时段的开头和末尾交替排布广告,对广告的播放顺序进行重新调整。
进一步的,所述兴趣程度获取模块根据设定周期内用户对同一广告类型的切换次数,及同一广告类型广告的播放时长来获取用户对该广告类型的兴趣程度,切换次数越少播放时长越长则兴趣程度越高。
进一步的,所述系统还包括:广告调换模块,若接下来广告时段的广告均不是用户感兴趣的广告,则继续获取之后广告时段将要播放广告的广告类型并 进行排序,获取排序顺序,然后根据排序顺序挑选出中间位置用户感兴趣的两个广告与上一广告时段开始和最后的两个广告进行调换。
进一步的,所述系统还包括:时长调整模块,预先设置多个多种时长的填充广告,在调换后,检测两个广告时段的广告时间的实际时长,若实际时长少于广告时段的总长,则采用相同时长的填充广告进行填充,若实际时长大于广告时段的总长,则对该广告时段中排序最后的广告进行裁剪,使得实际时长等于广告时段的总长。
本申请提供的一种电子设备,包括:
至少一个处理器;以及,
与所述至少一个处理器通信连接的存储器;其中,
所述存储器存储有可被所述至少一个处理器执行的指令,所述指令被所述至少一个处理器执行,以使所述至少一个处理器能够执行如上所述的电视广告推荐方法。
本申请提供的一种非暂态计算机可读存储介质,所述非暂态计算机可读存储介质存储有计算机可执行指令,所述计算机可执行指令用于使电子设备执行如上所述的电视广告推荐方法。
本申请提供的一种计算机程序产品,包括:存储在非暂态计算机可读存储介质上的计算机程序,所述计算机程序包括程序指令,当所述程序指令被电子设备执行时,使所述电子设备执行如上所述的电视广告推荐方法。
本申请电视广告推荐方法、系统及电子设备,通过用户对电视广告的兴趣程度来对电视广告进行排序,然后根据排序对电视广告重新调整播放顺序,根据排序顺序由广告时段开始和结束位置开始交替排布电视广告,充分利用广告时段的黄金时间来展示用户感兴趣的电视广告,避免用户直接换台导致后面的电视广告不能被看到,避免造成费用和成本的浪费,使用户能够看到感兴趣的广告,很好的获取广告和商品信息。
附图说明
图1是一个实施例中的电视广告推荐方法的流程图;
图2是一个实施例中的电视广告推荐系统的结构图;
图3是一个实施例中的电子设备的硬件结构图。
具体实施方式
为了使本申请的目的、技术方案及优点更加清楚明白,以下结合附图及实施例,对本申请进行进一步详细说明。应当理解,此处所描述的具体实施例仅用以解释本申请,并不用于限定本申请。
图1是一个实施例中的电视广告推荐方法的流程图,如图1所示,该方法包括如下步骤:
步骤S10:获取用户对不同广告类型的兴趣程度。
在电视节目中播放的电视广告的类型很多,而用户对于不同的广告类型兴趣程度完全不同,比如有的用户对电器广告非常感兴趣,对酒水完全不感兴趣;而有的用户对护肤品很感兴趣,对电器不感兴趣。用户对感兴趣的广告类型就会停留观看,而如果是不感兴趣的广告类型则会切换频道。为更好的为用户推荐广告,使用户获得更多的广告信息,首先需要获取用户对不同广告类型的兴趣程度。
具体的,该步骤根据设定周期内用户对同一广告类型的切换次数,及同一广告类型广告的播放时长来获取用户对该广告类型的兴趣程度,切换次数越少播放时长越长则兴趣程度越高。例如,有些类型的广告播放了几秒就被切换则属于用户不感兴趣的广告,有些类型的广告播放一半才被切换属于用户较感兴趣的,有些类型的广告完整看完不被切换则属于用户感兴趣的。
步骤S20:获取接下来广告时段将要播放广告的广告类型,并根据用户兴趣程度由高到低对将要播放的广告进行排序,获取排序顺序。
在获取用户对各种广告类型的兴趣程度后,接下来就能够根据用户的兴趣 程度来对用户推荐广告。该步骤则获取接下来时段将要播放的所有广告的广告类型,并根据用户兴趣程度由高到低的进行排序,获取排序顺序,这样就能够对接下来广告的用户兴趣程度有直观的了解,便于更好的推荐。
步骤S30:根据排序顺序在广告时段的开头和末尾交替排布广告,对广告的播放顺序进行重新调整。
广告时段处于两个电视节目中间,通常在前一个节目结束(也就是广告时段的开始前期),下一个节目将要开始(也就是广告时段的末尾后期),是广告时段的黄金时间,用户往往会在前一个节目结束后观看一段时间广告,而在下一个节目开始之前用户会等节目开始也会观看一段时间电视广告,故在这两个节点排布用户兴趣程度高的广告效果最好。故该步骤对广告的播放顺序进行重新调整,根据排序顺序在广告时段的开头和末尾交替排布广告,这样就将用户兴趣程度高的电视广告都排布到了广告时段的两端,从而达到很好的推荐效果。
另外会出现这种情况,即接下来广告时段的电视广告均不是用户感兴趣的广告,那么用户就会直接切换频道,这就使得造成整个广告时段的浪费,故在这种情况下,该方法还包括步骤:
若接下来广告时段的广告均不是用户感兴趣的广告,则继续获取之后广告时段将要播放广告的广告类型并进行排序,获取排序顺序,然后根据排序顺序挑选出中间位置用户感兴趣的两个广告与上一广告时段开始和最后的两个广告进行调换。这样将之后用户感兴趣的中间位置的广告调换到接下来的广告时段首尾,既使得后面用户感兴趣但是排序不好的广告可以被用户看到,又避免了用户直接切换频道使得接下来广告时段的浪费。
在进行调换后,由于互相调换的两个广告时长会有所不同,会出现时长差,那么在播放时,会出现广告时段中有一段时间没有任何内容或者超出广告时段时的总长,例如A广告时段的a广告时长5秒,B广告时段的b广告时长3秒,a和b调换后,那么A广告时段将会有2秒的时间没有任何内容,而B广告时段会超出总时长2秒,这样就会影响正常的电视节目或者电视广告的播放,为此该方法还包括:预先设置多个多种时长的填充广告,在调换后,检测两个广 告时段的广告时间的实际时长,若实际时长少于广告时段的总长,则采用相同时长的填充广告进行填充,若实际时长大于广告时段的总长,则对该广告时段中排序最后的广告进行裁剪,使得实际时长等于广告时段的总长。这样通过预置的填充广告的填充,和对用户感兴趣最低广告的裁剪,来保障广告时段的总长不发生改变,用户感觉不到变化,电视节目和广告也不受影响。
该电视广告推荐方法,通过用户对电视广告的兴趣程度来对电视广告进行排序,然后根据排序对电视广告重新调整播放顺序,根据排序顺序由广告时段开始和结束位置开始交替排布电视广告,充分利用广告时段的黄金时间来展示用户感兴趣的电视广告,避免用户直接换台导致后面的电视广告不能被看到,避免造成费用和成本的浪费,使用户能够看到感兴趣的广告,很好的获取广告和商品信息。
同时,本申请还提供一种电视广告推荐系统,如图2所示,该系统包括:
兴趣程度获取模块100,获取用户对不同广告类型的兴趣程度。
在电视节目中播放的电视广告的类型很多,而用户对于不同的广告类型兴趣程度完全不同,比如有的用户对电器广告非常感兴趣,对酒水完全不感兴趣;而有的用户对护肤品很感兴趣,对电器不感兴趣。用户对感兴趣的广告类型就会停留观看,而如果是不感兴趣的广告类型则会切换频道。为更好的为用户推荐广告,使用户获得更多的广告信息,兴趣程度获取模块100首先需要获取用户对不同广告类型的兴趣程度。
具体的,兴趣程度获取模块100根据设定周期内用户对同一广告类型的切换次数,及同一广告类型广告的播放时长来获取用户对该广告类型的兴趣程度,切换次数越少播放时长越长则兴趣程度越高。例如,有些类型的广告播放了几秒就被切换则属于用户不感兴趣的广告,有些类型的广告播放一半才被切换属于用户较感兴趣的,有些类型的广告完整看完不被切换则属于用户感兴趣的。
广告排序模块200,获取接下来广告时段将要播放广告的广告类型,并根据用户兴趣程度由高到低对将要播放的广告进行排序,获取排序顺序。
在获取用户对各种广告类型的兴趣程度后,接下来就能够根据用户的兴趣 程度来对用户推荐广告。广告排序模块200获取接下来时段将要播放的所有广告的广告类型,并根据用户兴趣程度由高到低的进行排序,获取排序顺序,这样就能够对接下来广告的用户兴趣程度有直观的了解,便于更好的推荐。
广告调整模块300,根据排序顺序在广告时段的开头和末尾交替排布广告,对广告的播放顺序进行重新调整。
广告时段处于两个电视节目中间,通常在前一个节目结束(也就是广告时段的开始前期),下一个节目将要开始(也就是广告时段的末尾后期),是广告时段的黄金时间,用户往往会在前一个节目结束后观看一段时间广告,而在下一个节目开始之前用户会等节目开始也会观看一段时间电视广告,故在这两个节点排布用户兴趣程度高的广告效果最好。故广告调整模块300对广告的播放顺序进行重新调整,根据排序顺序在广告时段的开头和末尾交替排布广告,这样就将用户兴趣程度高的电视广告都排布到了广告时段的两端,从而达到很好的推荐效果。
另外会出现这种情况,即接下来广告时段的电视广告均不是用户感兴趣的广告,那么用户就会直接切换频道,这就使得造成整个广告时段的浪费,故在这种情况下,该系统还包括:
广告调换模块,若接下来广告时段的广告均不是用户感兴趣的广告,则继续获取之后广告时段将要播放广告的广告类型并进行排序,获取排序顺序,然后根据排序顺序挑选出中间位置用户感兴趣的两个广告与上一广告时段开始和最后的两个广告进行调换。这样将之后用户感兴趣的中间位置的广告调换到接下来的广告时段首尾,既使得后面用户感兴趣但是排序不好的广告可以被用户看到,又避免了用户直接切换频道使得接下来广告时段的浪费。
在进行调换后,由于互相调换的两个广告时长会有所不同,会出现时长差,那么在播放时,会出现广告时段中有一段时间没有任何内容或者超出广告时段时的总长,例如A广告时段的a广告时长5秒,B广告时段的b广告时长3秒,a和b调换后,那么A广告时段将会有2秒的时间没有任何内容,而B广告时段会超出总时长2秒,这样就会影响正常的电视节目或者电视广告的播放,为 此该系统还包括:时长调整模块,预先设置多个多种时长的填充广告,在调换后,检测两个广告时段的广告时间的实际时长,若实际时长少于广告时段的总长,则采用相同时长的填充广告进行填充,若实际时长大于广告时段的总长,则对该广告时段中排序最后的广告进行裁剪,使得实际时长等于广告时段的总长。这样通过预置的填充广告的填充,和对用户感兴趣最低广告的裁剪,来保障广告时段的总长不发生改变,用户感觉不到变化,电视节目和广告也不受影响。
该电视广告推荐系统,通过用户对电视广告的兴趣程度来对电视广告进行排序,然后根据排序对电视广告重新调整播放顺序,根据排序顺序由广告时段开始和结束位置开始交替排布电视广告,充分利用广告时段的黄金时间来展示用户感兴趣的电视广告,避免用户直接换台导致后面的电视广告不能被看到,避免造成费用和成本的浪费,使用户能够看到感兴趣的广告,很好的获取广告和商品信息。
再者,本申请还提供一种电子设备,该电子设备可以是任意类型的电子设备,比如:电视机、机顶盒等。
具体地,如图3所示,该电子设备400包括:
一个或多个处理器401以及存储器402,图3中以一个处理器401为例。
处理器401和存储器402可以通过总线或者其他方式连接,图3中以通过总线连接为例。
存储器402作为一种非暂态计算机可读存储介质,可用于存储非暂态软件程序、非暂态计算机可执行程序以及模块,如本申请实施例中的电视广告推荐方法对应的程序指令/模块(例如,附图2所示的兴趣程度获取模块100、广告排序模块200以及广告调整模块300)。处理器401通过运行存储在存储器402中的非暂态软件程序、指令以及模块,从而执行电视广告推荐系统的各种功能应用以及数据处理,即实现上述任一方法实施例的电视广告推荐方法。
存储器402可以包括存储程序区和存储数据区,其中,存储程序区可存储操作系统、至少一个功能所需要的应用程序;存储数据区可存储根据电视广告 推荐系统的使用所创建的数据等。此外,存储器402可以包括高速随机存取存储器,还可以包括非暂态存储器,例如至少一个磁盘存储器件、闪存器件、或其他非暂态固态存储器件。在一些实施例中,存储器402可选包括相对于处理器401远程设置的存储器,这些远程存储器可以通过网络连接至电子设备400。上述网络的实例包括但不限于互联网、企业内部网、局域网、移动通信网及其组合。
所述一个或者多个模块存储在所述存储器402中,当被所述一个或者多个处理器401执行时,执行上述任意方法实施例中的电视广告推荐方法,例如,执行以上描述的图1中的方法步骤S10至S30,实现图2中的模块100-300的功能。
本申请实施例还提供了一种非暂态计算机可读存储介质,所述非暂态计算机可读存储介质存储有计算机可执行指令,该计算机可执行指令被一个或多个处理器执行,例如,被图3中的一个处理器401执行,可使得上述一个或多个处理器执行上述任意方法实施例中的电视广告推荐方法,例如,执行以上描述的图1中的方法步骤S10至S30,实现图2中的模块100-300的功能。
以上所描述的装置实施例仅仅是示意性的,其中所述作为分离部件说明的单元可以是或者也可以不是物理上分开的,作为单元显示的部件可以是或者也可以不是物理单元,即可以位于一个地方,或者也可以分布到多个网络单元上。可以根据实际的需要选择其中的部分或者全部模块来实现本实施例方案的目的。
通过以上的实施方式的描述,本领域普通技术人员可以清楚地了解到各实施方式可借助软件加通用硬件平台的方式来实现,当然也可以通过硬件。本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程是可以通过计算机程序产品中的计算机程序来指令相关的硬件来完成,所述的计算机程序可存储于一非暂态计算机可读取存储介质中,该计算机程序包括程序指令,当所述程序指令被电子设备执行时,可使所述电子设备执行如上述各方法实施例的流程。其中,所述的存储介质可为磁碟、光盘、只读存储记忆体(Read-Only Memory,ROM)或随机存储记忆体(Random Access Memory,RAM)等。
上述产品(电子设备、非暂态计算机可读存储介质以及计算机程序产品)可执行本申请实施例所提供的电视广告推荐方法,具备执行电视广告推荐方法相应的功能模块和有益效果。未在本实施例中详尽描述的技术细节,可参见本申请实施例所提供的电视广告推荐方法。
以上仅为本申请的较佳实施例而已,并不用以限制本申请,凡在本申请的精神和原则之内所作的任何修改、等同替换和改进等,均应包含在本申请的保护范围之内。

Claims (11)

  1. 一种电视广告推荐方法,其特征在于,包括如下步骤:
    S10:获取用户对不同广告类型的兴趣程度;
    S20:获取接下来广告时段将要播放广告的广告类型,并根据用户兴趣程度由高到低对将要播放的广告进行排序,获取排序顺序;
    S30:根据排序顺序在广告时段的开头和末尾交替排布广告,对广告的播放顺序进行重新调整。
  2. 根据权利要求1所述的电视广告推荐方法,其特征在于,所述步骤S10具体为:根据设定周期内用户对同一广告类型的切换次数,及同一广告类型广告的播放时长来获取用户对该广告类型的兴趣程度,切换次数越少播放时长越长则兴趣程度越高。
  3. 根据权利要求1或2所述的电视广告推荐方法,其特征在于,所述方法还包括步骤:若接下来广告时段的广告均不是用户感兴趣的广告,则继续获取之后广告时段将要播放广告的广告类型并进行排序,获取排序顺序,然后根据排序顺序挑选出中间位置用户感兴趣的两个广告与上一广告时段开始和最后的两个广告进行调换。
  4. 根据权利要求3所述的电视广告推荐方法,其特征在于,所述方法还包括步骤:预先设置多个多种时长的填充广告,在调换后,检测两个广告时段的广告时间的实际时长,若实际时长少于广告时段的总长,则采用相同时长的填充广告进行填充,若实际时长大于广告时段的总长,则对该广告时段中排序最后的广告进行裁剪,使得实际时长等于广告时段的总长。
  5. 一种电视广告推荐系统,其特征在于,包括:
    兴趣程度获取模块,获取用户对不同广告类型的兴趣程度;
    广告排序模块,获取接下来广告时段将要播放广告的广告类型,并根据用户兴趣程度由高到低对将要播放的广告进行排序,获取排序顺序;
    广告调整模块,根据排序顺序在广告时段的开头和末尾交替排布广告,对 广告的播放顺序进行重新调整。
  6. 根据权利要求5所述的电视广告推荐系统,其特征在于,所述兴趣程度获取模块根据设定周期内用户对同一广告类型的切换次数,及同一广告类型广告的播放时长来获取用户对该广告类型的兴趣程度,切换次数越少播放时长越长则兴趣程度越高。
  7. 根据权利要求5或6所述的电视广告推荐系统,其特征在于,所述系统还包括:广告调换模块,若接下来广告时段的广告均不是用户感兴趣的广告,则继续获取之后广告时段将要播放广告的广告类型并进行排序,获取排序顺序,然后根据排序顺序挑选出中间位置用户感兴趣的两个广告与上一广告时段开始和最后的两个广告进行调换。
  8. 根据权利要求7所述的电视广告推荐系统,其特征在于,所述系统还包括:时长调整模块,预先设置多个多种时长的填充广告,在调换后,检测两个广告时段的广告时间的实际时长,若实际时长少于广告时段的总长,则采用相同时长的填充广告进行填充,若实际时长大于广告时段的总长,则对该广告时段中排序最后的广告进行裁剪,使得实际时长等于广告时段的总长。
  9. 一种电子设备,其特征在于,包括:
    至少一个处理器;以及,
    与所述至少一个处理器通信连接的存储器;其中,
    所述存储器存储有可被所述至少一个处理器执行的指令,所述指令被所述至少一个处理器执行,以使所述至少一个处理器能够执行如权利要求1-4任一项所述的方法。
  10. 一种非暂态计算机可读存储介质,其特征在于,所述非暂态计算机可读存储介质存储有计算机可执行指令,所述计算机可执行指令用于使电子设备执行如权利要求1-4任一项所述的方法。
  11. 一种计算机程序产品,其特征在于,所述计算机程序产品包括存储在 非暂态计算机可读存储介质上的计算机程序,所述计算机程序包括程序指令,当所述程序指令被电子设备执行时,使所述电子设备执行如权利要求1-4任一项所述的方法。
PCT/CN2018/087500 2017-06-30 2018-05-18 电视广告推荐方法、系统及电子设备 WO2019001166A1 (zh)

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