WO2017148064A1 - 一种基于用户行为分析的视频自动推送方法和装置 - Google Patents

一种基于用户行为分析的视频自动推送方法和装置 Download PDF

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Publication number
WO2017148064A1
WO2017148064A1 PCT/CN2016/089234 CN2016089234W WO2017148064A1 WO 2017148064 A1 WO2017148064 A1 WO 2017148064A1 CN 2016089234 W CN2016089234 W CN 2016089234W WO 2017148064 A1 WO2017148064 A1 WO 2017148064A1
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WIPO (PCT)
Prior art keywords
video
update
video file
viewing
information
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PCT/CN2016/089234
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English (en)
French (fr)
Inventor
马勇
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乐视控股（北京）有限公司
乐视云计算有限公司
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Priority to US15/243,952 priority Critical patent/US20170257658A1/en
Publication of WO2017148064A1 publication Critical patent/WO2017148064A1/zh

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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
    • H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
    • H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
    • H04N21/25866—Management of end-user data
    • H04N21/25891—Management of end-user data being end-user preferences
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20—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
    • 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
    • H04N21/26291—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 providing content or additional data updates, e.g. updating software modules, stored at the client
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • H04N21/44213—Monitoring of end-user related data
    • H04N21/44222—Analytics of user selections, e.g. selection of programs or purchase activity
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4667—Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies

Definitions

  • the present invention relates to the field of communication technologies, and in particular to a video automatic push method and apparatus based on user behavior analysis.
  • the solution adopted is that when the network is good, the user enters the multimedia platform, and selects and downloads the video file according to his own needs, in order to browse and watch.
  • a scheme may be due to the user forgetting to buffer the video file in advance under the better condition of the network, so that the video cannot be browsed and viewed without a good network.
  • video files such as TV dramas will be updated regularly. Users need to check the updated content frequently, and then buffer the updated content in a better network, resulting in poor user experience.
  • the object of the present invention is to provide a video automatic push method and apparatus based on user behavior analysis, which solves the problem that the user needs to manually select the buffered content and cannot buffer the updated content of the video file of interest.
  • the automatic video push method based on user behavior analysis provided by the present invention based on the above objective includes the following steps:
  • the update information is pushed.
  • the determining whether there is a video file whose viewing duration exceeds a preset time threshold further includes:
  • the method further includes:
  • the steps are included:
  • the terminal receives the update information
  • the method further includes:
  • the network monitoring process is started, and when the network of the terminal is monitored to be in a non-mobile data network state, the current power of the terminal is obtained.
  • the method further includes:
  • the memory monitoring process is started. When it is detected that the available memory of the terminal is higher than the preset utilization, the download is suspended, otherwise the download is continued.
  • the present invention also provides a video automatic pushing device based on user behavior analysis, including:
  • An update trigger unit is configured to acquire a video file viewing record; determine whether there is a video file whose viewing duration exceeds a preset duration threshold, and if yes, extract a video information identifier of the video file to determine whether a video having the same video information identifier exists The file, if present, stores the video information identifier in a video update table; otherwise, it is not executed;
  • an update execution unit configured to: when the update of the video file corresponding to the video information identifier in the video update table is updated, the update information is pushed; wherein the video update table stores each of the Correspondence between video information identification and update information.
  • the update triggering unit determines whether there is a video file whose viewing duration exceeds a preset duration threshold, and is further used to:
  • the update trigger unit is further configured to: if there is a video file having the same video information identification,
  • the update execution unit monitors that the video file corresponding to the video information identifier in the video update table has update information, the update information is pushed.
  • a receiving unit configured to receive the updated information
  • the power determining unit is configured to obtain the current power of the terminal, determine whether it is lower than a preset power threshold, and if not lower than the preset power threshold, sort according to the number of video files having the same video information identifier. And download according to the sorted result; if it is lower than the preset power threshold, it will not be executed.
  • the receiving unit is further configured to:
  • the network monitoring process is started, and when the network of the terminal is monitored to be in a non-mobile data network state, the current power of the terminal is obtained.
  • the power quantity determining unit after the power quantity determining unit performs downloading according to the sorted result, it is further used to:
  • the memory monitoring process is started. When it is detected that the available memory of the terminal is higher than the preset utilization, the download is suspended, otherwise the download is continued.
  • the automatic video push method and apparatus based on user behavior analysis acquires a video file to view a record; and judges whether there is a viewing according to the viewing record.
  • the video file whose duration exceeds the preset duration threshold extracts the video information identifier of the video file, determines whether there is a video file with the same video information identifier, and if so, stores the video information identifier to the video update table. If it is detected that there is update information in the video file corresponding to the video information identifier in the video update table, the update information is pushed. Therefore, the user behavior analysis can be implemented for the viewing record of the video file of the user terminal, and the video file of interest to the user can be obtained, and the update information can be automatically pushed, thereby greatly optimizing the service efficiency of the multimedia playing platform.
  • FIG. 1 is a schematic flowchart of a method for automatically pushing a video based on user behavior analysis according to a first embodiment of the present invention
  • FIG. 2 is a schematic flowchart of a method for automatically pushing a video based on user behavior analysis according to an embodiment of the present invention
  • FIG. 3 is a schematic structural diagram of a video automatic pushing apparatus based on user behavior analysis according to an embodiment of the present invention
  • FIG. 4 is a schematic structural diagram of an automatic video receiving apparatus based on user behavior analysis according to an embodiment of the present invention.
  • FIG. 5 is a schematic diagram of a video playing terminal according to an embodiment of the present invention.
  • the user enters the multimedia platform and can only find the updated video file by himself or herself. If there is updated content, the buffer is manually buffered, resulting in a very poor user experience.
  • the present invention understands from the user's point of view that the user wishes to implement automatic update downloading for the video file of interest. Therefore, the idea of the present invention is to establish a function of analyzing the viewing behavior of the user on the multimedia playing platform, and realizing the function of automatically updating the download based on the analysis result.
  • the method for automatically pushing a video based on user behavior analysis includes:
  • Step 101 Obtain a video file viewing record of the user terminal.
  • the user can log in to the multimedia playback platform and save for each user.
  • the historical viewing record is stored, and the viewing record of each user can be obtained.
  • the viewing record may include: user terminal information, video information identification, viewing duration, and the like.
  • Step 102 Determine, according to the viewing record, whether there is a video file whose viewing duration exceeds a preset duration threshold, if yes, proceed to step 103, and if not, exit the flow.
  • the viewing time period of the video file may be acquired, and then it is determined whether there is an advertisement playing time in the viewing period. . According to the judgment result, if it exists, it is determined whether the viewing duration minus the viewing duration after the advertisement playing duration exceeds a preset duration threshold. If it does not exist, it is directly determined whether the viewing duration exceeds a preset duration threshold.
  • Step 103 Extract the video information identifier of the video file, determine whether there is a video file with the same video information identifier, and if yes, proceed to step 104, and if not, exit the process.
  • the video information identifies information used to distinguish the video file, and may include one or more combinations of video information such as a name, a version number, a starring, and a publishing time of the video file.
  • the extracted video information of the video file is at least two video information in the video file, so that the video file having the same video information can be determined more accurately. For example: extract the name of the video file and the time of publication.
  • determining whether there is a video file having the same video information is to enable the video file after the preliminary judgment (step 102) to be classified, and the video file having the same video information can be regarded as one type, for example, a television drama has By multi-set video files, and extracting video information from these video files, the video information of the drama can be obtained, and then step 104 is performed.
  • Step 104 Store the video information identifier into a video update table.
  • the present invention if there is a video file having the same video information identifier, calculating the number of video files having the same video information identifier, sorting according to the quantity, and then sequentially identifying the video information.
  • the quantity is stored in a preset video update table.
  • the greater the number of video files having the same video information identifier the higher the degree of interest of the user to the video file, for example: a TV drama, the same video is corresponding to different episodes.
  • the information is identified, so the greater the number of video files identified by the same video information, the more the number of episodes viewed is generally the more interesting the user is to the television show.
  • Step 105 When it is detected that the video file corresponding to the video information identifier in the video update table has update information, the update information is pushed.
  • the video update table stores a correspondence between each of the video information identifiers and the update information.
  • the update information may be pushed to the corresponding user terminal according to the user terminal information in the view record, so that the message is The user terminal can download according to the update information. Therefore, monitoring of the video file update information of interest to the user is implemented in this embodiment, and the update information can be automatically pushed to the terminal so that the terminal can download according to the update information.
  • the present invention also provides an automatic video receiving method based on user behavior analysis.
  • the terminal may obtain the current power of the terminal. Then, it is determined whether the power of the terminal is lower than a preset power threshold. If it is not lower than the preset power threshold, the data is sorted according to the number of video files having the same video information identifier, and is downloaded according to the sorted result. If the number is lower than the preset power threshold, the download of the update information is not performed. Among them, the more the number of video files with the same video information identification, the more the top is downloaded. Therefore, the embodiment can consider the power status of the terminal, and can preferentially download the updated video file that the user is most interested in.
  • the network monitoring process is started.
  • the terminal performs the update information according to the update information. download.
  • the memory monitoring process is started, and when the available memory of the terminal is detected to be higher than the preset utilization, the download is suspended, otherwise the download is continued. Therefore, this embodiment can take into account the use of the memory of the terminal device, that is, when the memory usage rate is high, the download is suspended, and when the memory usage rate is low, the download is continued.
  • the automatic video push method based on user behavior analysis may specifically adopt the following steps:
  • Step 201 Obtain a viewing record of the video file.
  • Step 202 Obtain a viewing time period of the video file, determine whether there is an advertisement playing time in the viewing time period, if yes, proceed to step 203, and if not, proceed to step 204.
  • Step 203 Determine whether the viewing duration after the viewing duration minus the advertising playing duration exceeds a preset duration threshold, and if yes, proceed to step 205, and if not, directly exit the flow.
  • Step 204 Determine whether the viewing duration exceeds a preset duration threshold. If yes, proceed to step 205. If not, exit the process directly.
  • Step 205 Extract the video information identifier of the video file, and determine whether there is a video file with the same video information identifier. If yes, go to step 206. If not, exit the process directly.
  • Step 206 Calculate the number of video files having the same video information identifier, sort the video information identifier according to the size of the quantity, and then store the video information identification quantity in a preset to the preset video update table.
  • Step 207 When it is detected that the video file corresponding to the video information identifier in the video update table has update information, the update information is pushed to the terminal.
  • the terminal receives the update information of the video file, obtains the power of the terminal, determines whether it is lower than a preset power threshold, and if not lower than the preset power threshold, according to the update information.
  • the number of video files having the same video information identification is sorted, and the download is performed according to the sorted result. If it is lower than the preset power threshold, it will not be executed.
  • the terminal when the terminal receives the update information pushed by the multimedia platform, the terminal may also start the network monitoring process. Then, when it is detected that the network of the terminal is in a non-mobile data network state, the download is performed according to the update information. In addition, in the process of downloading the video file according to the update information, the memory monitoring process is started, and when the available memory of the terminal is detected to be higher than the preset utilization, the download is suspended, otherwise the download is continued.
  • the video automatic push device 30 based on user behavior analysis includes an update trigger unit 301 connected in sequence. And an update execution unit 302.
  • the update triggering unit 301 acquires a video file viewing record, and determines whether there is a video file whose viewing duration exceeds a preset duration threshold. If yes, the video information identifier of the video file is extracted, and it is determined whether there is a video with the same video information identifier.
  • the file if present, stores the video information identifier in a video update table; otherwise it is not executed.
  • the update execution unit 302 pushes the update information when it detects that there is update information in the video file corresponding to the video information identifier in the video update table. It should be noted that each of the video information identifiers and update information is stored in the video update table. Correspondence.
  • the update triggering unit 301 determines whether there is a video file whose viewing time exceeds a preset duration threshold
  • the specific implementation process is as follows: acquiring a viewing time period of the video file, and determining the viewing time Whether there is an advertisement playing time, and if yes, it is determined whether the viewing duration minus the viewing duration after the advertisement playing duration exceeds a preset duration threshold. Otherwise, it is directly determined whether the viewing duration exceeds a preset duration threshold.
  • the update triggering unit 301 may also calculate the number of video files having the same video information if there is a video file having the same video information identifier, sort according to the quantity, and then sequentially The number of video information identifications is stored in a preset video update table.
  • the present invention also provides a video automatic receiving apparatus 40 based on user behavior analysis, including a receiving unit 401 and a power amount determining unit 402.
  • the receiving unit 401 receives the update information, and then the power determining unit 402 obtains the power of the terminal, determines whether the power of the terminal is lower than a preset power threshold, and if not, the identifier according to the same video information.
  • the number of video files is sorted and downloaded according to the sorted result. If it is lower, the download is not performed.
  • the receiving unit 401 starts a network monitoring process, and when it is detected that the network of the terminal is in a non-mobile data network state, acquires the current power of the terminal.
  • the memory monitoring process may be started, and when the available memory of the terminal is detected to be higher than the preset utilization rate, the download is suspended, otherwise the operation is continued. download.
  • FIG. 5 is a video playing terminal according to an embodiment of the present invention.
  • the video playing terminal 10 includes:
  • a memory 11 for storing an executable program
  • a processor 12 configured to execute an executable program stored in the memory 11; thereby acquiring a video file Viewing a record; determining, according to the viewing record, whether there is a video file whose viewing duration exceeds a preset duration threshold, and if so, extracting a video information identifier of the video file to determine whether a video file having the same video information identifier exists, and if present, The video information identifier is stored in the video update table; otherwise, it is not executed; when it is detected that the video file corresponding to the video information identifier in the video update table has update information, the update information is pushed.
  • the display device 13 is configured to display a user interaction interface.
  • the memory 11 of the video playback terminal may be a non-transitory computer readable storage medium for storing computer executable programs.
  • the processor when the program is executed by one or more processors, the processor may be caused to perform the method steps 101-106 (FIG. 1) described above, or steps 201-207 (FIG. 2) or device units 301-302 (FIG. 1) 3) or the functionality of device units 401-402 (FIG. 4), which may also be stored and/or transmitted in any non-transitory computer readable storage medium for use by an instruction execution system, apparatus or device.
  • Non-transitory computer readable storage medium can be any medium that tangibly contains or stores computer-executable instructions, which can be used by an instruction execution system, device, or system Or use in conjunction with an instruction execution system, device, or device.
  • Non-volatile computer readable storage media may include, but are not limited to, magnetic, optical, and/or semiconductor storage devices. Examples of such storage devices include magnetic disks, CD-ROM based on CD, DVD or Blu-ray technology, and persistent solid-state memories (such as flash memory, solid state drives, etc.).
  • the processor 12 can be a central processing unit (Centrral Processing Unit, abbreviated as "CPU”).
  • the processor 12 can also be other general purpose processors, digital signal processors (DSPs), application specific integrated circuits (ASICs), off-the-shelf programmable gate arrays (FPGAs) or other programmable logic devices, discrete gates or transistor logic devices, discrete Hardware components, etc.
  • the general purpose processor may be a microprocessor or the processor or any conventional processor or the like.
  • a direct or indirect communication connection can be implemented between the processor and the memory by any suitable means in the prior art to accomplish data transfer, including but not limited to physical bus system connections or other intangible network connections.
  • the bus system can include: a power bus, a control bus, and a status signal bus.
  • the video playing terminal provided by the embodiment of the present invention can implement user behavior analysis for the viewing record of the video file of the user terminal, obtain a video file that is of interest to the user, and can automatically push the video file. Update the information, which greatly optimizes the service efficiency of the multimedia player platform.
  • the computer software can be stored in a computer readable storage medium, which, when executed, can include the flow of an embodiment of the methods described above.
  • the storage medium may be a magnetic disk, an optical disk, a read-only storage memory, or a random storage memory.
  • the automatic video push method and device based on user behavior analysis creatively analyzes the user's usual viewing behavior, obtains a video file that the user may want to download, and at the same time, realizes that the user may want to download Download the video file, monitor its update content and automatically download it; thus, push and download the updated content directly to the user without user intervention; have broad and significant promotion significance; finally, the entire video based on user behavior analysis
  • the automatic push method and device are compact and easy to control.
  • DRAM dynamic RAM

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  • Multimedia (AREA)
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  • Computer Graphics (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Social Psychology (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

本发明公开了一种基于用户行为分析的视频自动推送方法和装置，获取视频文件观看记录；判断是否存在观看时长超过预先设置的时长阈值的视频文件，若存在则提取所述视频文件的视频信息标识，判断是否存在具有相同视频信息标识的视频文件，若存在则将所述视频信息标识存储到视频更新表中；否则不予执行；当监测到所述视频更新表中的视频信息标识对应的视频文件存在更新信息时，则推送所述更新信息。因此，所述基于用户行为分析的视频自动推送方法和装置能够实现针对用户行为进行分析，获得该用户可能需要对更新内容进行下载的视频文件，并可以获取更新内容自动下载。

Description

一种基于用户行为分析的视频自动推送方法和装置 技术领域
本发明涉及通信技术领域，特别是指一种基于用户行为分析的视频自动推送方法和装置。
背景技术
随着计算机通信技术、互联网技术以及多媒体技术的发展，观看视频得到了越来越广泛的应用。目前，人们浏览、观看视频的需求越来越旺盛，但很多情况下没有很好的网络情况来满足人们的需求，比如上下班通勤途中、户外等等。另外，还由于网络通信费用过高或者网络信号不稳定等原因造成人们无法进行视频的浏览、观看。
在现有的技术中，采用的方案是在网络较好的情况下，用户进入到多媒体平台中，根据自身的需要挑选并下载视频文件，以备浏览、观看。但此类方案可能由于用户遗忘在网络较好情况下预先进行视频文件的缓冲，而导致之后没有很好网络情况下无法进行视频的浏览、观看。与此同时，对于影视剧之类的视频文件都会定时进行更新，需要用户经常查看更新内容，然后再在网络较好情况下缓冲更新的内容，导致用户体验不好。
发明内容
有鉴于此，本发明的目的在于提出一种基于用户行为分析的视频自动推送方法和装置，解决用户需要手动选择缓冲内容，无法对感兴趣的视频文件更新内容进行缓冲的问题。
基于上述目的本发明提供的基于用户行为分析的视频自动推送方法，包括步骤：
获取视频文件观看记录；
根据观看记录判断是否存在观看时长超过预先设置的时长阈值的视频文件，若存在则提取所述视频文件的视频信息标识，判断是否存在具有相同视频信息标识的视频文件，若存在则将所述视频信息标识存储到视频更新表 中；否则不予执行；
当监测到所述视频更新表中的视频信息标识对应的视频文件存在更新信息时，则推送该更新信息。
在一些实施例中，所述判断是否存在观看时长超过预先设置的时间阈值的视频文件时，还包括：
获取视频文件的观看时间段，判断在所述观看时间段内是否存在广告播放时间，若存在则判断所述观看时长减去所述广告播放时长之后的观看时间是否超过预先设置的时长阈值；否则，直接判断所述观看时长是否超过预先设置的时长阈值。
在一些实施例中，所述如果存在具有相同视频信息标识的视频文件时，还包括：
计算具有相同视频信息标识的视频文件的数量，根据所述数量的大小进行排序，将所述视频信息标识数量存储到视频更新表中，并推送更新信息。
在一些实施例中，包括步骤：
终端接收更新信息；
判断终端电量是否低于预先设置的电量阈值；若不低于预先设置的电量阈值，则根据排序后的结果进行下载数量；若低于预先设置的电量阈值，则不予执行。
在一些实施例中，所述接收到所述的更新信息之后，还包括：
启动网络监测进程，当监测到所述终端的网络处于非移动数据网络状态时，则获取当前所述终端的电量。
在一些实施例中，所述根据排序后的结果进行下载之后，还包括：
启动内存监测进程，当监测到所述终端的可用内存高于预先设置的利用率时则暂停下载，否则继续进行下载。
在另一方面，本发明还提供了一种基于用户行为分析的视频自动推送装置，包括：
更新触发单元，用于获取视频文件观看记录；判断是否存在观看时长超过预先设置的时长阈值的视频文件，若存在则提取所述视频文件的视频信息标识，判断是否存在具有相同视频信息标识的视频文件，若存在则将所述视频信息标识存储到视频更新表中；否则不予执行；
更新执行单元，用于当监测到所述视频更新表中的视频信息标识对应的视频文件存在更新信息时，则推送所述更新信息；其中，所述的视频更新表中存储有每个所述视频信息标识和更新信息的对应关系。
在一些实施例中，所述更新触发单元判断是否存在观看时长超过预先设置的时长阈值的视频文件时，还用于：
获取视频文件的观看时间段，判断在所述观看时间段内是否存在广告播放时间，若存在则判断所述观看时长减去所述广告播放时长之后的观看时间是否超过预先设置的时长阈值；否则，直接判断所述观看时长是否超过预先设置的时长阈值。
在一些实施例中，所述更新触发单元如果存在具有相同视频信息标识的视频文件时，还用于：
计算具有相同视频信息标识的视频文件的数量，根据所述数量的大小进行排序，然后依次将所述视频信息标识数量存储到视频更新表中；
当所述更新执行单元监测到所述视频更新表中的视频信息标识对应的视频文件存在更新信息时，推送该更新信息。
在一些实施例中，包括：
接收单元，用于接收所述的更新信息；
电量判断单元，用于获取当前所述终端的电量，判断是否低于预先设置的电量阈值；若不低于预先设置的电量阈值，则根据具有相同视频信息标识的视频文件的个数进行排序，并根据排序后的结果进行下载；若低于预先设置的电量阈值，则不予执行。
在一些实施例中，所述接收单元接收到所述的更新信息之后，还用于：
启动网络监测进程，当监测到所述终端的网络处于非移动数据网络状态时，则获取当前所述终端的电量。
在一些实施例中，所述电量判断单元根据排序后的结果进行下载之后，还用于：
启动内存监测进程，当监测到所述终端的可用内存高于预先设置的利用率时则暂停下载，否则继续进行下载。
从上面所述可以看出，本发明提供的基于用户行为分析的视频自动推送方法和装置，通过获取视频文件观看记录；根据观看记录判断是否存在观看 时长超过预先设置的时长阈值的视频文件，若存在则提取所述视频文件的视频信息标识，判断是否存在具有相同视频信息标识的视频文件，若存在则将所述视频信息标识存储到视频更新表中；否则不予执行；当监测到所述视频更新表中的视频信息标识对应的视频文件存在更新信息时，则推送所述更新信息。因此，能够针对用户终端视频文件的观看记录来实现用户行为分析，获得该用户感兴趣的视频文件，可以自动推送该更新信息，进而大大优化了多媒体播放平台的服务效率。
附图说明
图1为本发明第一实施例中基于用户行为分析的视频自动推送方法的流程示意图；
图2为本发明可参考实施例中基于用户行为分析的视频自动推送方法的流程示意图；
图3为本发明实施例中基于用户行为分析的视频自动推送装置的结构示意图；
图4为本发明实施例中基于用户行为分析的视频自动接收装置的结构示意图。
图5为本发明实施例提供的视频播放终端的示意图。
具体实施方式
为使本发明的目的、技术方案和优点更加清楚明白，以下结合具体实施例，并参照附图，对本发明进一步详细说明。
根据多媒体平台的使用现状，用户进入到多媒体平台，只能自行查找感兴趣的视频文件是否有更新的内容，如果具有更新的内容则手动进行缓冲，导致用户体验非常差。为了解决这一问题，本发明从用户角度，体会到用户希望针对感兴趣的视频文件实现自动更新下载。因此，本发明的思路是多媒体播放平台上，建立对用户的观看行为进行分析，实现基于该分析结果自动更新下载的功能。
参阅图1所示，为本发明第一实施例中基于用户行为分析的视频自动推送方法的流程示意图，所述基于用户行为分析的视频自动推送方法包括：
步骤101，获取用户终端的视频文件观看记录。
在实施例中，用户可以登录到多媒体播放平台上，而针对每个用户都存 储了历史观看记录，即可以获取每个用户的观看记录。其中，所述的观看记录可以包括：用户终端信息、视频信息标识、观看时长等等内容。
步骤102，根据所述观看记录，判断是否存在观看时长超过预先设置的时长阈值的视频文件，若存在则进行步骤103，若不存在则退出该流程。
在实施例中，对观看记录中的每个视频文件，判断观看时长是否超过预先设置的时长阈值，若超过了预先设置的时长阈值则可以初步判断用户对该视频文件感兴趣，可以进行步骤103。若每个视频文件都没有超过则直接退出该流程。
在本发明的另一实施例中，在判断是否存在观看时长超过预先设置的时长阈值的视频文件时，可以获取视频文件的观看时间段，然后判断在所述观看时间段内是否存在广告播放时间。根据判断结果，如果存在，则判断所述观看时长减去所述广告播放时长之后的观看时长是否超过预先设置的时长阈值。如果不存在，则直接判断所述观看时长是否超过预先设置的时长阈值。
步骤103，提取所述视频文件的视频信息标识，判断是否存在具有相同视频信息标识的视频文件，若存在则进行步骤104，若不存在则退出该流程。
其中，所述视频信息标识用于区分视频文件的信息，可以包括：视频文件的名称、版本号、主演、出版时间等视频信息中的一种或一种以上的组合。在本实施例中，提取的所述视频文件的视频信息为视频文件中的至少两个视频信息，这样可以更为精确的确定具有相同视频信息的视频文件。例如：提取视频文件的名称和出版时间。另外，判断是否存在具有相同视频信息的视频文件是为了能够使经过初步判断(步骤102)之后的视频文件进行归类，具有相同视频信息的视频文件可以认为是一类，例如：一个电视剧具有的多集视频文件，而对这些视频文件提取视频信息，便可以得到该电视剧的视频信息，然后进行步骤104。
步骤104，将所述视频信息标识存储到视频更新表中。
在本发明的实施例中，如果存在具有相同视频信息标识的视频文件，则计算具有相同视频信息标识的视频文件的数量，可以根据所述数量的大小进行排序，然后依次将所述视频信息标识数量存储到预先设置的视频更新表。其中，所述具有相同视频信息标识的视频文件的数量越大说明用户对该视频文件的感兴趣度越高，例如：一个电视剧，由于不同剧集都对应同样的视频 信息标识，因此相同视频信息标识的视频文件的数量越多，一般来说说明观看的集数越多，用户对该电视剧越感兴趣。
步骤105，当监测到所述视频更新表中的视频信息标识对应的视频文件存在更新信息时，则将该更新信息进行推送。
在实施例中，所述的视频更新表中存储有每个所述视频信息标识和更新信息的对应关系。多媒体播放平台侧，当监测到视频更新表中的视频信息标识对应的视频文件存在更新信息时，可以根据所述观看记录中的用户终端信息将该更新信息推送给对应的用户终端，这样的话所述用户终端可以根据该更新信息进行下载。因此，在该实施例中实现了对用户感兴趣的视频文件更新信息的监测，同时可以将该更新信息自动推送给终端，以便终端可以根据该更新信息进行下载。
在本发明的实施例中，本发明还提出了基于用户行为分析的视频自动接收方法，所述终端接收到多媒体平台推送的更新信息时，可以获取当前所述终端的电量。然后判断所述终端电量是否低于预先设置的电量阈值，若不低于预先设置的电量阈值则根据具有相同视频信息标识的视频文件的个数进行排序，并根据排序后的结果进行下载。数量若低于预先设置的电量阈值则不进行更新信息的下载。其中，具有相同视频信息标识的视频文件的个数越多越排在前面进行下载。从而，该实施例可以考虑所述终端的电量情况，可以优先下载用户最为感兴趣的更新的视频文件。
作为本发明的一个实施例，所述终端接收到多媒体平台推送的更新信息时，则启动网络监测进程，当监测到所述终端的网络处于非移动数据网络状态时，则根据所述更新信息进行下载。另外，在根据更新信息下载视频文件的过程中，启动内存监测进程，当监测到所述终端的可用内存高于预先设置的利用率时则暂停下载，否则继续进行下载。因此，该实施例能够考虑到所述终端设备内存的使用情况，即在内存使用率高时则暂停下载，在内存使用率低时则继续下载。
作为一个可参考的实施例，参阅图2所示，所述基于用户行为分析的视频自动推送方法具体可采用如下步骤：
步骤201，获取视频文件的观看记录。
步骤202，获取视频文件的观看时间段，判断在所述观看时间段内是否存在广告播放时间，若存在则进行步骤203，若不存在则进行步骤204。
步骤203，判断所述观看时长减去所述广告播放时长之后的观看时长是否超过预先设置的时长阈值，若超过则进行步骤205，若没有超过则直接退出该流程。
步骤204，判断所述观看时长是否超过预先设置的时长阈值，若超过则进行步骤205，若没有超过则直接退出该流程。
步骤205，提取所述视频文件的视频信息标识，判断是否存在具有相同视频信息标识的视频文件，若存在则进行步骤206，若不存在则直接退出该流程。
步骤206，计算具有相同视频信息标识的视频文件的数量，根据所述数量的大小将视频信息标识进行排序，然后按顺序将所述视频信息标识数量存储到预先设置的视频更新表中。
步骤207，当监测到所述视频更新表中的视频信息标识对应的视频文件存在更新信息时，则将该更新信息推送给终端。
在实施例中，所述终端接收到所述视频文件的更新信息，获取所述终端的电量，判断是否低于预先设置的电量阈值，若不低于预先设置的电量阈值则根据所述更新信息将具有相同视频信息标识的视频文件的个数进行排序，并根据排序后的结果进行下载。若低于预先设置的电量阈值则不予执行。
在本发明另一个实施例中，所述终端接收到多媒体平台推送的更新信息时，还可以启动网络监测进程。然后，当监测到所述终端的网络处于非移动数据网络状态时，则根据所述更新信息进行下载。另外，在根据更新信息下载视频文件的过程中，启动内存监测进程，当监测到所述终端的可用内存高于预先设置的利用率时则暂停下载，否则继续进行下载。
在本发明的另一方面，还提供了一种基于用户行为分析的视频自动推送装置30，如图3所示，所述基于用户行为分析的视频自动推送装置30包括依次连接的更新触发单元301以及更新执行单元302。其中，更新触发单元301获取视频文件观看记录，判断是否存在观看时长超过预先设置的时长阈值的视频文件，若存在则提取所述视频文件的视频信息标识，判断是否存在具有相同视频信息标识的视频文件，若存在则将所述视频信息标识存储到视频更新表中；否则不予执行。更新执行单元302当监测到所述视频更新表中的视频信息标识对应的视频文件存在更新信息时，则推送所述更新信息。需要说明的是，所述的视频更新表中存储有每个所述视频信息标识和更新信息 的对应关系。
在另一个实施例中，所述更新触发单元301判断是否存在观看时间超过预先设置的时长阈值的视频文件时，具体的实施过程如下：获取视频文件的观看时间段，判断在所述观看时间内是否存在广告播放时间，若存在则判断所述观看时长减去所述广告播放时长之后的观看时长是否超过预先设置的时长阈值。否则，直接判断所述观看时长是否超过预先设置的时长阈值。
作为本装置一个实施例，所述更新触发单元301如果存在具有相同视频信息标识的视频文件时，还可以计算具有相同视频信息的视频文件的数量，根据所述数量的大小进行排序，然后依次将所述视频信息标识数量存储到预先设置的视频更新表中。
需要说明的是，在本发明所述的基于用户行为分析的视频自动推送装置的具体实施内容，在上面所述的基于用户行为分析的视频自动推送方法中已经详细说明了，故在此重复内容不再说明。
另外，如图4所示，本发明还提出了一种基于用户行为分析的视频自动接收装置40，包括接收单元401和电量判断单元402。其中，接收单元401接收所述的更新信息，然后电量判断单元402获取所述终端的电量，判断所述终端的电量是否低于预先设置的电量阈值，若不低于则根据具有相同视频信息标识的视频文件的个数进行排序，并根据排序后的结果进行下载，若低于则不进行下载。进一步地，所述接收单元401接收到更新信息之后，启动网络监测进程，当监测到所述终端的网络处于非移动数据网络状态时，则获取当前所述终端的电量。
在另一个实施例中，电量判断单元402根据排序后的结果进行下载之后，可以启动内存监测进程，当监测到所述终端的可用内存高于预先设置的利用率时则暂停下载，否则继续进行下载。
需要说明的是，在本发明所述的基于用户行为分析的视频自动接收装置的具体实施内容，在上面所述的基于用户行为分析的视频自动接收方法中已经详细说明了，故在此重复内容不再说明。
本发明的另一方面还提供了一种视频播放终端。图5为本发明实施例的视频播放终端。请参照图5所示，该视频播放终端10包括：
存储器11，用于存储可执行程序；
处理器12，用于执行存储器11存储的可执行程序；从而获取视频文件 观看记录；根据观看记录判断是否存在观看时长超过预先设置的时长阈值的视频文件，若存在则提取所述视频文件的视频信息标识，判断是否存在具有相同视频信息标识的视频文件，若存在则将所述视频信息标识存储到视频更新表中；否则不予执行；当监测到所述视频更新表中的视频信息标识对应的视频文件存在更新信息时，则推送该更新信息。
显示装置13，用于显示用户交互界面。
视频播放终端的存储器11可以是非易失性计算机可读存储介质，以用于存储计算机可执行程序。例如，当该程序由一个或多个处理器执行时，可以使得处理器执行以上描述的方法步骤101-106(图1)，或步骤201-207(图2)或装置单元301-302(图3)或装置单元401-402(图4)的功能，计算机可执行程序也可以在任何非易失性计算机可读存储介质内存储和/或传输，以便由指令执行系统、装置或设备使用，或者结合指令执行系统、装置或设备使用，其中该指令执行系统、装置或设备诸如基于计算机的系统、包含处理器的系统或可以从指令执行系统、装置或设备获取指令并执行该指令的其他系统。出于本文档的目的，“非易失性计算机可读存储介质”可以是有形地包含或存储计算机可执行指令的任何介质，该计算机可执行指令可以用于由指令执行系统、设备或系统使用或者结合指令执行系统、装置或设备使用。非易失性计算机可读存着介质可以包括但不限于磁的、光的和/或半导体存储装置。这些存储装置的示例包括磁盘、基于CD、DVD或蓝光技术的光盘以及持久性固态存储器(诸如，闪存、固态驱动器等)。
该处理器12可以是中央处理单元(Centrral Processing Unit，简称为“CPU”)。该处理器12还可以是其他通用处理器、数字信号处理器(DSP)、专用集成电路(ASIC)、现成可编程门阵列(FPGA)或者其他可编程逻辑器件、分立门或者晶体管逻辑器件、分立硬件组件等。通用处理器可以是微处理器或者该处理器也可以是任何常规的处理器等。
该处理器和存储器之间可以通过现有技术中任何合适的方式，实现直接或者间接的通讯连接，完成数据传输，包括但不限于有形的总线系统连接或者其它无形的网络连接。该总线系统可以包括：电源总线、控制总线和状态信号总线等。
本发明实施例提供的视频播放终端，能够针对用户终端视频文件的观看记录来实现用户行为分析，获得该用户感兴趣的视频文件，可以自动推送该 更新信息，进而大大优化了多媒体播放平台的服务效率。
本领域技术人员应该意识到，结合本文中所公开的实施例描述的各示例的功能单元/模块及算法步骤，能够以电子硬件、计算机软件或者二者的结合来实现，为了清楚地说明硬件和软件的可互换性，在上述说明中已经按照功能一般性地描述了各示例的组成及步骤。这些功能究竟以硬件还是软件方式来执行，取决于技术方案的特定应用和设计约束条件。本领域技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本发明的范围。所述的计算机软件可存储于计算机可读取存储介质中，该程序在执行时，可包括如上述各方法的实施例的流程。其中，所述的存储介质可为磁碟、光盘、只读存储记忆体或随机存储记忆体等。
综上所述，本发明提供的基于用户行为分析的视频自动推送方法、装置，创造性地对用户往常的观看行为进行分析，获得该用户可能想下载的视频文件；同时，实现了针对用户可能想下载的视频文件，监测其更新内容并自动进行下载；从而，直接向用户推送、下载更新的内容，无需用户干预；具有广泛、重大的推广意义；最后，整个所述的基于用户行为分析的视频自动推送方法和装置紧凑，易于控制。
所属领域的普通技术人员应当理解：以上任何实施例的讨论仅为示例性的，并非旨在暗示本公开的范围(包括权利要求)被限于这些例子；在本发明的思路下，以上实施例或者不同实施例中的技术特征之间也可以进行组合，步骤可以以任意顺序实现，并存在如上所述的本发明的不同方面的许多其它变化，为了简明它们没有在细节中提供。
另外，为简化说明和讨论，并且为了不会使本发明难以理解，在所提供的附图中可以示出或可以不示出与集成电路(IC)芯片和其它部件的公知的电源/接地连接。此外，可以以框图的形式示出装置，以便避免使本发明难以理解，并且这也考虑了以下事实，即关于这些框图装置的实施方式的细节是高度取决于将要实施本发明的平台的(即，这些细节应当完全处于本领域技术人员的理解范围内)。在阐述了具体细节(例如，电路)以描述本发明的示例性实施例的情况下，对本领域技术人员来说显而易见的是，可以在没有这些具体细节的情况下或者这些具体细节有变化的情况下实施本发明。因此，这些描述应被认为是说明性的而不是限制性的。
尽管已经结合了本发明的具体实施例对本发明进行了描述，但是根据前 面的描述，这些实施例的很多替换、修改和变型对本领域普通技术人员来说将是显而易见的。例如，其它存储器架构(例如，动态RAM(DRAM))可以使用所讨论的实施例。
本发明的实施例旨在涵盖落入所附权利要求的宽泛范围之内的所有这样的替换、修改和变型。因此，凡在本发明的精神和原则之内，所做的任何省略、修改、等同替换、改进等，均应包含在本发明的保护范围之内。

Claims (12)

  1. 一种基于用户行为分析的视频自动推送方法，其特征在于，包括步骤：
    获取视频文件观看记录；
    根据观看记录判断是否存在观看时长超过预先设置的时长阈值的视频文件，若存在则提取所述视频文件的视频信息标识，判断是否存在具有相同视频信息标识的视频文件，若存在则将所述视频信息标识存储到视频更新表中；否则不予执行；
    当监测到所述视频更新表中的视频信息标识对应的视频文件存在更新信息时，则推送该更新信息。
  2. 根据权利要求1所述的方法，其特征在于，所述判断是否存在观看时长超过预先设置的时长阈值的视频文件时，还包括：
    获取视频文件的观看时间段，判断在所述观看时间段内是否存在广告播放时间，若存在则判断所述观看时长减去所述广告播放时长之后的观看时长是否超过预先设置的时长阈值；否则，直接判断所述观看时长是否超过预先设置的时长阈值。
  3. 根据权利要求1或2所述的方法，其特征在于，所述如果存在具有相同视频信息标识的视频文件时，还包括：
    计算具有相同视频信息标识的视频文件的数量，根据所述数量的大小进行排序，将所述视频信息标识数量存储到视频更新表中，并推送更新信息。
  4. 根据权利要求3所述的方法，其特征在于，包括步骤：
    终端接收更新信息，判断终端电量是否低于预先设置的电量阈值；若不低于预先设置的电量阈值，则根据排序后的结果进行下载；若低于预先设置的电量阈值，则不予执行。
  5. 根据权利要求4所述的方法，其特征在于，所述接收到所述的更新信息之后，还包括：
    启动网络监测进程，当监测到所述终端的网络处于非移动数据网络状态时，则获取当前所述终端的电量。
  6. 根据权利要求4所述的方法，其特征在于，所述根据排序后的结果进行下载之后，还包括：
    启动内存监测进程，当监测到所述终端的可用内存高于预先设置的利用率时则暂停下载，否则继续进行下载。
  7. 一种基于用户行为分析的视频自动推送装置，其特征在于，包括：
    更新触发单元，用于获取视频文件观看记录；判断是否存在观看时长超过预先设置的时长阈值的视频文件，若存在则提取所述视频文件的视频信息标识，判断是否存在具有相同视频信息标识的视频文件，若存在则将所述视频信息标识存储到视频更新表中；否则不予执行；
    更新执行单元，用于当监测到所述视频更新表中的视频信息标识对应的视频文件存在更新信息时，则推送所述更新信息；其中，所述的视频更新表中存储有每个所述视频信息标识和更新信息的对应关系。
  8. 根据权利要求7所述的装置，其特征在于，所述更新触发单元判断是否存在观看时长超过预先设置的时长阈值的视频文件时，还用于：
    获取视频文件的观看时间段，判断在所述观看时间段内是否存在广告播放时间，若存在则判断所述观看时长减去所述广告播放时长之后的观看时长是否超过预先设置的时长阈值；否则，直接判断所述观看时长是否超过预先设置的时间阈值。
  9. 根据权利要求7或8所述的装置，其特征在于，所述更新触发单元如果存在具有相同视频信息标识的视频文件时，还用于：
    计算具有相同视频信息标识的视频文件的数量，根据所述数量的大小进行排序，然后依次将所述视频信息标识数量存储到视频更新表中；
    当所述更新执行单元监测到所述视频更新表中的视频信息标识对应的视频文件存在更新信息时，推送该更新信息。
  10. 根据权利要求9所述的装置，其特征在于，包括：
    接收单元，用于接收所述的更新信息；
    电量判断单元，用于获取当前所述终端的电量，判断是否低于预先设置的电量阈值；若不低于预先设置的电量阈值，则根据具有相同视频信息标识的视频文件的个数进行排序，并根据排序后的结果进行下载；若低于预先设置的电量阈值，则不予执行。
  11. 根据权利要求10所述的装置，其特征在于，所述接收单元接收到所述的更新信息之后，还用于：
    启动网络监测进程，当监测到所述终端的网络处于非移动数据网络状态 时，则获取当前所述终端的电量。
  12. 根据权利要求10所述的装置，其特征在于，所述电量判断单元根据排序后的结果进行下载之后，还用于：
    启动内存监测进程，当监测到所述终端的可用内存高于预先设置的利用率时则暂停下载，否则继续进行下载。
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