WO2015090133A1 - 一种视频信息更新方法及电子设备 - Google Patents

一种视频信息更新方法及电子设备 Download PDF

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Publication number
WO2015090133A1
WO2015090133A1 PCT/CN2014/092310 CN2014092310W WO2015090133A1 WO 2015090133 A1 WO2015090133 A1 WO 2015090133A1 CN 2014092310 W CN2014092310 W CN 2014092310W WO 2015090133 A1 WO2015090133 A1 WO 2015090133A1
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WO
WIPO (PCT)
Prior art keywords
video
video program
granularity
type
update
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PCT/CN2014/092310
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English (en)
French (fr)
Inventor
李阳
夏清
曹先进
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乐视网信息技术（北京）股份有限公司
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Publication of WO2015090133A1 publication Critical patent/WO2015090133A1/zh

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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N7/00—Television systems
    • H04N7/14—Systems for two-way working
    • H04N7/15—Conference systems
    • 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
    • H04N21/43—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
    • H04N21/434—Disassembling of a multiplex stream, e.g. demultiplexing audio and video streams, extraction of additional data from a video stream; Remultiplexing of multiplex streams; Extraction or processing of SI; Disassembling of packetised elementary stream
    • H04N21/4345—Extraction or processing of SI, e.g. extracting service information from an MPEG stream
    • 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
    • H04N21/458—Scheduling content for creating a personalised stream, e.g. by combining a locally stored advertisement with an incoming stream; Updating operations, e.g. for OS modules ; time-related management operations
    • H04N21/4586—Content update operation triggered locally, e.g. by comparing the version of software modules in a DVB carousel to the version stored locally
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/47—End-user applications
    • H04N21/482—End-user interface for program selection
    • H04N21/4826—End-user interface for program selection using recommendation lists, e.g. of programs or channels sorted out according to their score
    • 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]
    • H04N21/80—Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/83—Generation or processing of protective or descriptive data associated with content; Content structuring
    • H04N21/84—Generation or processing of descriptive data, e.g. content descriptors

Definitions

  • the present invention relates to the field of multimedia technologies, and in particular, to a video information updating method and an electronic device.
  • the multimedia webpages, multimedia applications, and clients in the prior art generally use the classification recommendation, the new drama hot recommendation, and the like to update the video information for the user.
  • the prior art does not consider whether the updated video content matches the viewing preferences of different users, that is, the user cannot be provided with the viewing preference of the user for different users.
  • the video update information, the update efficiency of the video information is low, and the interaction capability between the electronic device and the user is low.
  • the embodiment of the present invention provides a video information updating method and an electronic device, which can provide video update information preferred by the user for different users, improve update efficiency of the video information, and enhance the interaction capability between the electronic device and the user.
  • a first aspect of the embodiments of the present invention provides a video information update method, which can be applied to an electronic device, where the electronic device includes a video client, and the method includes:
  • first update information of the video program where the first update information includes an identifier of all updated video programs in a preset time period
  • the preference topic class contains at least one video subject type
  • the preferred topic type Calculating an update index of the video program corresponding to the identifier of each of the video programs in the first update information, including:
  • the update index of the video program is a sum of at least one of the matching attribution granularities of the video program.
  • acquiring a preferred topic type of the currently logged-in user in the video client including:
  • one of the video programs belongs to at least one of the video subject types.
  • the method before calculating an update index of the video program corresponding to the identifier of each of the video programs in the first update information, the method also includes:
  • the root Calculating each of the video programs in the first update information according to the determined video subject type to which the video program belongs and the attribution granularity of the video program belonging to different video topic types, and the preferred topic type
  • the update index of the video program corresponding to the logo including:
  • the update index of the video program is the sum of the obtained at least one product.
  • the video program corresponding to the identifier of the at least one of the video programs in the first update information is updated according to the obtained update index, including :
  • the second aspect of the embodiment of the present invention further provides an electronic device, where the electronic device includes a video client, and the electronic device further includes:
  • a first acquiring unit configured to acquire first update information of a video program, where the first update information includes an identifier of all updated video programs in a preset time period;
  • a first determining unit configured to determine a video subject type and the first update information to which the video program corresponding to the identifier of all the video programs in the first update information acquired by the first acquiring unit belongs
  • the video programs corresponding to the identifiers of all the video programs in the video are attributed to the attribution granularity of different video topic types, and the attribution granularity is a probability that the video programs belong to different video topic types;
  • a second acquiring unit configured to acquire a preferred topic type of the currently logged-in user in the video client, where the preferred topic type includes at least one video topic type;
  • a calculating unit configured to: according to the video theme type to which the video program has been determined by the first determining unit, and a attribution granularity of the video program belonging to different video theme types, and the second acquiring unit acquires The preferred topic type calculates each of the first update information An update index of the video program corresponding to the identifier of the video program;
  • an update unit configured to update, according to the update index obtained by the computing unit, a video program corresponding to the identifier of at least one of the video programs in the first update information.
  • the calculating unit may include:
  • a matching module configured to match, by using the preferred topic type, a video theme type to which the video program belongs;
  • a first determining module configured to determine, in a homepage granularity of the video program, at least one matching home granularity, where the matching home granularity is a attribution granularity of a video topic type that the video program belongs to the matching module that is successfully matched;
  • a first calculation module configured to calculate, according to the matching attribution granularity determined by the first determining module, an update index of the video program, where the video program has at least one matching attribution granularity
  • the update index of the video program is a sum of at least one of the matching attribution granularities of the video program.
  • the second obtaining unit may include:
  • An acquiring module configured to acquire a playing frequency of a video program of each of the video theme types in a video program playing record of the video client for the current logged-in user;
  • a second determining module configured to determine that the video subject type that is acquired by the acquiring module is higher than a preset frequency threshold is the preferred topic type
  • one of the video programs belongs to at least one of the video subject types.
  • the electronic device further includes:
  • a second determining unit configured to: before the calculating unit calculates an update index of the video program corresponding to the identifier of each of the video programs in the first update information, according to the video of each of the preferred topic types A play frequency of the program in the video program play record, determining a preference probability of the currently logged-in user for each of the preferred topic types.
  • the calculating unit includes:
  • a matching module configured to match, by using the preferred topic type, a video theme type to which the video program belongs;
  • a first determining module configured to determine, in a homepage granularity of the video program, at least one matching home granularity, where the matching home granularity is a attribution granularity of a video topic type that the video program belongs to the matching module that is successfully matched;
  • a second calculation module configured to calculate a product of a preference probability of each of the preferred topic types and a matching attribution granularity of the matching attribution granularity corresponding to the preferred topic type
  • a third calculating unit configured to calculate an update index of the video program according to the obtained at least one product
  • the update index of the video program is the sum of the obtained at least one product.
  • the updating unit includes:
  • a generating module configured to generate a video update list in descending order according to the obtained update index
  • a display module configured to display, by the video client, the video program corresponding to the identifier of at least one of the video programs in the first update information by using the video update list generated by the generating module.
  • the method for updating video information and the electronic device acquires first update information of a video program, where the first update information includes identifiers of all updated video programs in a preset time period; and all of the first update information is determined.
  • the video theme to which the video program corresponding to the identifier of the video program belongs and the video program corresponding to the identifier of all the video programs in the first update information are attributed to the attribution granularity of different video theme types; acquiring the video client The preferred topic type of the currently logged-in user; calculating the identity of each video program in the first update information according to the video subject type to which the determined video program belongs and the attribution granularity of the video program belonging to different video topic types, and the preference topic type And an update index of the corresponding video program; updating the video program corresponding to the identifier of the at least one video program in the first update information according to the obtained update index.
  • the user may be provided with video program update information according to the user's preferred topic type, the video theme type to which the video program belongs, and the attribution granularity of the video program belonging to different video question types, and the user may be provided for different users.
  • the preferred video update information improves the update efficiency of the video information and enhances the interaction capability between the electronic device and the user.
  • FIG. 1 is a flowchart of a method for updating video information according to Embodiment 1 of the present invention
  • FIG. 2 is a flowchart of a method for updating video information according to Embodiment 2 of the present invention
  • FIG. 3 is a flowchart of another method for updating video information according to Embodiment 2 of the present invention.
  • FIG. 4 is a schematic structural diagram of an electronic device according to Embodiment 3 of the present invention.
  • FIG. 5 is a schematic structural diagram of another electronic device according to Embodiment 3 of the present invention.
  • FIG. 6 is a schematic structural diagram of another electronic device according to Embodiment 3 of the present invention.
  • FIG. 7 is a schematic structural diagram of another electronic device according to Embodiment 3 of the present invention.
  • FIG. 8 is a schematic structural diagram of another electronic device according to Embodiment 3 of the present invention.
  • system and “network” are used interchangeably herein.
  • the term “and/or” in this context is merely an association describing the associated object, indicating that there may be three relationships, for example, A and / or B, which may indicate that A exists separately, and both A and B exist, respectively. B these three situations.
  • the character "/" in this article generally indicates that the contextual object is an "or" relationship.
  • An embodiment of the present invention provides a video information update method, which is applied to an electronic device, where the electronic device includes a video client.
  • the video information update method includes:
  • the electronic device acquires first update information of the video program, where the first update information includes identifiers of all updated video programs in the preset time period.
  • the first update information may include an identifier of all video programs that the electronic device can obtain from the server side and that are updated by the server within a preset time period.
  • the electronic device may be any one of a smart TV, a personal computer, a smart phone, or an electronic terminal that can install a TV version client and has a video playing function.
  • the electronic device determines a view corresponding to the identifiers of all the video programs in the first update information.
  • the video title to which the frequency program belongs and the video program corresponding to the identifiers of all the video programs in the first update information belong to the attribution granularity of different video theme types.
  • the attribution granularity is the probability that the video program belongs to different video subject types.
  • the electronic device acquires a preferred topic type of the currently logged-in user in the video client, where the preferred topic type includes at least one video topic type.
  • the video client of the electronic device can save the preferred topic type of the at least one login user.
  • Video programs can include movies, TV shows, and video clips.
  • Each of the logged-in users may include at least one video theme type in the preferred topic type, that is, each user may prefer more than one video theme type; the video theme types may include: action drama, comedy, love drama, science fiction drama, At least one of the types of dramas such as horror dramas, cartoons, and anime.
  • the electronic device may also obtain a preference probability of the currently logged-in user for each preferred topic type.
  • the electronic device may obtain more than one type of video theme for each user. Therefore, the electronic device may obtain the type of the preferred topic of the currently logged-in user for the currently logged-in user based on the type of the preferred topic of the currently logged-in user in the video client. Preference probability.
  • the method for the electronic device to acquire the preferred topic type of the currently logged-in user in the video client may include: the electronic device acquiring, in the video program playing record of the current logged-in user, each of the video a play frequency of the video program of the theme type; determining that the video theme type of the play frequency is higher than the preset frequency threshold is the preferred theme type; wherein one of the video programs belongs to at least one of the video theme types.
  • the electronic device calculates, according to the determined video subject type to which the video program belongs, and the attribution granularity of the video program belonging to different video topic types, and the preference topic type, and corresponding to the identifier of each video program in the first update information.
  • the update index of the video program is
  • the attribution granularity is the probability that the video program to be recommended belongs to different video theme types.
  • the electronic device updates the video program corresponding to the identifier of the at least one video program in the first update information according to the obtained update index.
  • the method for the electronic device to update the video program corresponding to the identifier of the at least one of the video programs in the first update information according to the obtained update index may include: the electronic device according to the obtained update index from large to small Generating a video update list in sequence; displaying, by the video update list, a video program corresponding to the identifier of at least one of the video programs in the first update information by the video client.
  • the method for updating video information acquires first update information of a video program, where the first update information includes identifiers of all updated video programs in a preset time period; and determining all video programs in the first update information. And determining, by the video subject type to which the video program corresponding to the video program belongs, and the attribution of the video program corresponding to the identifier of all the video programs in the first update information, belonging to a different video theme type; acquiring the current login user in the video client a preference topic type; calculating, according to the video theme type to which the determined video program belongs and the attribution granularity of the video program belonging to different video topic types, and the preference topic type, calculating the identifier of each video program in the first update information An update index of the video program; updating the video program corresponding to the identifier of the at least one video program in the first update information according to the obtained update index.
  • the user may be provided with video program update information according to the user's preferred topic type, the video theme type to which the video program belongs, and the attribution granularity of the video program belonging to different video question types, and the user may be provided for different users.
  • the preferred video update information improves the update efficiency of the video information and enhances the interaction capability between the electronic device and the user.
  • An embodiment of the present invention provides a video information update method, as shown in FIG. 2, including:
  • the electronic device acquires first update information of the video program, where the first update information includes identifiers of all updated video programs in the preset time period.
  • the electronic device determines that the video theme to which the video program corresponding to the identifier of all the video programs in the first update information belongs and the video program corresponding to the identifier of all the video programs in the first update information belong to different The attribution granularity of the video subject type.
  • the attribution granularity is the probability that the video program belongs to different video subject types.
  • the video program can be a TV series, a movie or a video clip, and the like.
  • the electronic device may obtain, from the server side, summary information of the copyrighted video program, including the name of the copyrighted video program, the starring name, the director's name, and the content profile; and obtaining the copyrighted
  • the electronic device may classify each video program according to the obtained summary information, wherein one video program may be attributed to at least one video theme type; then the electronic device may be based on each copyrighted video.
  • the summary information of the program determines the attribution granularity at which the video program belongs to different video subject types.
  • the electronic device acquires a playing frequency of the video program of each video theme type in the video program playing record of the video client for the currently logged-in user.
  • the electronic device may acquire a video program play record of the video client of the electronic device for the currently logged-in user; the electronic device counts the play count of each video program in the play record and the play duration of the video program played each time, Calculating, according to the playing times and the playing time of each video program in the play record, the total duration of each video program playing; then, the electronic device may acquire summary information of each video program in the playing record, where the summary information includes The information of the name, the starring name, the director's name, and the content profile of the copyrighted video program; after obtaining the summary information of the video program, the electronic device may classify each video program according to the obtained summary information, where A video program can be attributed to at least one video subject type; finally, the electronic device can count the total playing time of all video programs in each video subject type; wherein, the total playing time of all the video programs in each video subject type Duration can be used as a video theme Play video frequency type of program.
  • the electronic device may also only count the number of times of playing each video program in the play record; obtain summary information of each video program in the play record, and classify each video program according to the obtained summary information. The total number of plays of all video programs in each video subject type is then counted, wherein the total number of plays for all video programs in each video subject type can be used as the frequency of playback of the video program for each video subject type.
  • the electronic device determines that the video subject type whose playing frequency is higher than the preset frequency threshold is a preferred topic type.
  • the electronic device can determine all the video programs in each video theme type. Whether the total playback duration is higher than the preset frequency threshold, for example, the preset frequency threshold may be 50 hours; if all video programs in one or more video theme types in all video program theme categories have a higher total playback duration than the preset The frequency threshold, the electronic device can determine that the one or more video subject types are preferred topic types.
  • the preset frequency threshold may be 50 hours; if all video programs in one or more video theme types in all video program theme categories have a higher total playback duration than the preset The frequency threshold, the electronic device can determine that the one or more video subject types are preferred topic types.
  • one video program belongs to at least one video theme type.
  • the electronic device may obtain the The information calculates the update index of the video program, that is, as shown in FIG. 2, S206 can be directly executed after executing S201-S204.
  • the method of the embodiment of the present invention may further include: S205:
  • the electronic device determines a preference probability of the currently logged-in user for each preferred topic type according to a playing frequency of the video program of each preferred topic type in the video program playing record.
  • the electronic device obtains the video program play record of the video client for the currently logged-in user, there are a total of five video theme types (topic type A, topic type B, topic type C, topic type D, and topic type).
  • the total duration of the theme type A is: 31 hours; the total duration of the theme type B is: 65 hours; the total duration of the theme type C is: 42.2 hours; the total duration of the theme type D is: 85 hours;
  • the total duration of the theme type E is: 27 hours.
  • the electronic device may determine that the topic type B and the topic type D are the preferred topic types of the currently logged-in user; based on this, the electronic device may calculate the total duration of the play according to the theme type B and the theme type D.
  • the user's preference probability for topic type B and the user's preference probability for topic type D may divide the total duration of the play of the theme type B, the total duration of the play of the theme type D by the sum of the total durations of the theme type B and the theme type D, respectively, as the user's theme type B. Preference probability and user preference probability for topic type D.
  • the electronic device after acquiring the subject type to which the video program belongs and the attribution granularity of the video program and the preferred topic type, the electronic device does not need to execute S205, the electronic device
  • the update index of the video program can be directly calculated according to the type of the subject to which the video program belongs and the attribution granularity of the video program, and the preferred theme type.
  • the method of the embodiment of the present invention may further include: S206, S207 And S208.
  • the electronic device uses a preference topic type to match a video theme type to which the video program belongs.
  • the electronic device determines, in the attribution granularity of the video program, at least one matching home granularity, where the matching home granularity is the attribution granularity of the video program attribute to the successfully matched video subject type.
  • the video theme types to which the video program 1 belongs include: theme type A and theme type B, and the video program 1 belongs to the theme.
  • Type A has a attribution granularity of 20%, and video program 1 belongs to topic type B.
  • the affiliation granularity is 80%;
  • the video theme type to which the video program 2 belongs includes: the theme type A and the theme type C, and the attribution size of the video program 2 belonging to the theme type A is 35%, and the video program 21 belongs to the theme type C.
  • the attribution granularity is 65%; the video theme type to which the video program 3 belongs includes the theme type B and the theme type D, and the video program 3 belongs to the topic type B with a attribution granularity of 45%, and the video program 1 belongs to the theme type D.
  • the attribution granularity is 55%.
  • the electronic device can determine that the matching video theme type of the video program 1 is the topic type B, and the matching attribution granularity is that the video program 1 belongs to the topic type B.
  • the attribution granularity of the video program is 80%; the video program 2 does not match the successful video topic type, and the matching attribution granularity is 0; the matching video theme type of the video program 3 is the theme type B and the theme type D, and the matching attribution granularity is the video program 3
  • the attribution granularity attributed to topic type B is 45% and the attribution size of video program 3 belonging to topic type D is 55%.
  • the electronic device calculates an update index of the video program according to the matching attribution granularity, where the video program has at least one matching attribution granularity.
  • the update index of the video program is the sum of at least one matching attribution granularity of the video program.
  • the method in the embodiment of the present invention may not include S208.
  • the method in the embodiment of the present invention includes S205 and S206. , S207, S209 and S210:
  • the electronic device calculates a product of a preference probability of each of the preferred topic types and a matching attribution granularity of the matching attribution granularity corresponding to the preferred topic type.
  • the matching video topic type of the video file 1 is the topic type B, the matching attribution granularity is the attribution granularity of the video file 1 belonging to the topic type B: 80%; the video file 2 has no matching video topic type, and the matching attribution granularity is 0.
  • the matching video topic types are topic type B and topic type D, and the matching attribution granularity is 45% of the attribution granularity of video file 1 belonging to topic type B and 55% of the attribution granularity of video file 1 belonging to topic type D.
  • the product of the preference probability of at least one preference topic type and the matching attribution granularity of the matching attribution granularity corresponding to the preference topic type in the video file 2 is: 0;
  • the electronic device calculates an update index of the video program according to the obtained at least one product.
  • the update index of the video program is the sum of the obtained at least one product.
  • the electronic device generates a video update list in descending order according to the obtained update index.
  • the electronic device displays, by using the video update list, the video program corresponding to the identifier of the at least one video program in the first update information by using the video client.
  • the method for updating video information acquires first update information of a video program, where the first update information includes identifiers of all updated video programs in a preset time period; and determining all video programs in the first update information. And determining, by the video subject type to which the video program corresponding to the video program belongs, and the attribution of the video program corresponding to the identifier of all the video programs in the first update information, belonging to a different video theme type; acquiring the current login user in the video client a preference topic type; calculating, according to the video theme type to which the determined video program belongs and the attribution granularity of the video program belonging to different video topic types, and the preference topic type, calculating the identifier of each video program in the first update information An update index of the video program; updating the video program corresponding to the identifier of the at least one video program in the first update information according to the obtained update index.
  • the user may be provided with video program update information according to the user's preferred topic type, the video theme type to which the video program belongs, and the attribution granularity of the video program belonging to different video question types, and the user may be provided for different users.
  • the preferred video update information improves the update efficiency of the video information and enhances the interaction capability between the electronic device and the user.
  • An embodiment of the present invention provides an electronic device, as shown in FIG. 4, including: a first acquiring unit 31, The first determining unit 32, the second obtaining unit 33, the calculating unit 34, and the updating unit 35.
  • the first obtaining unit 31 is configured to acquire first update information of the video program, where the first update information includes identifiers of all updated video programs in the preset time period.
  • a first determining unit 32 configured to determine a video subject type to which the video program corresponding to the identifier of all the video programs in the first update information acquired by the first acquiring unit 31 belongs, and the first The video programs corresponding to the identifiers of all the video programs in the update information are attributed to the attribution granularity of different video topic types, and the attribution granularity is the probability that the video programs belong to different video theme types.
  • the second obtaining unit 33 is configured to acquire a preference topic type of the currently logged-in user in the video client, where the preference topic type includes at least one video topic type.
  • the calculating unit 34 is configured to: according to the video theme type to which the video program has been determined by the first determining unit 32, and the attribution granularity of the video program belonging to different video theme types, and the second acquiring unit 33.
  • the obtained preference topic type calculates an update index of the video program corresponding to the identifier of each of the video programs in the first update information.
  • the updating unit 35 is configured to update, according to the update index obtained by the calculating unit 34, a video program corresponding to the identifier of at least one of the video programs in the first update information.
  • the second obtaining unit 33 may include: an obtaining module 331 and a second determining module 332.
  • the obtaining module 331 is configured to acquire a playing frequency of the video program of each of the video theme types in the video program playing record of the current login user by the video client.
  • the second determining module 332 is configured to determine that the video theme type that is acquired by the acquiring module 331 and whose playing frequency is higher than a preset frequency threshold is the preferred topic type.
  • one of the video programs belongs to at least one of the video subject types.
  • the calculating unit 34 may include: a matching module 341, a first determining module 342, and a first calculating module 343.
  • the matching module 341 is configured to match, by using the preferred topic type, a video theme type to which the video program belongs.
  • the first determining module 342 is configured to determine, in the home granularity of the video program, at least one matching home granularity, where the matching home granularity is attributed to the video topic type that the video program belongs to the matching module 341 and the matching is successful. granularity.
  • the first calculating module 343 is configured to calculate an update index of the video program according to the matching attribution granularity determined by the first determining module 342, where the video program has at least one matching attribution granularity.
  • the update index of the video program is a sum of at least one of the matching attribution granularities of the video program.
  • the electronic device may further include:
  • a second determining unit 36 configured to: before the calculating unit 34 calculates an update index of the video program corresponding to the identifier of each of the video programs in the first update information, according to each of the preferred topic types Determining a frequency of play of the video program in the video program play record, and determining a preference probability of the currently logged-in user for each of the preferred topic types.
  • the calculating unit may include: a matching module 341, a first determining module 342, a second calculating module 344, and a third calculating unit 345.
  • the matching module 341 is configured to match, by using the preferred topic type, a video theme type to which the video program belongs.
  • the first determining module 342 is configured to determine, in the home granularity of the video program, at least one matching home granularity, where the matching home granularity is a attribution granularity of the video topic type that the video program belongs to the matching module that is successfully matched. .
  • the second calculating module 344 is configured to calculate a product of a preference probability of each of the preferred topic types and a matching attribution granularity of the matching attribution granularity corresponding to the preferred topic type.
  • the third calculating unit 345 is configured to calculate an update index of the video program according to the obtained at least one product.
  • the update index of the video program is the sum of the obtained at least one product.
  • the updating unit 35 may include: a generating module and a displaying module.
  • a generating module is configured to generate a video update list in descending order of the obtained update index.
  • a display module configured to display, by the video client, the video program corresponding to the identifier of at least one of the video programs in the first update information by using the video update list generated by the generating module.
  • the electronic device acquires first update information of a video program, where the first update information includes identifiers of all updated video programs in a preset time period; and determining identifiers of all video programs in the first update information.
  • the video title to which the corresponding video program belongs and the video program corresponding to the identifier of all the video programs in the first update information are attributed to the attribution granularity of different video theme types; and the preference of the currently logged-in user in the video client is obtained.
  • a theme type calculating a video program corresponding to the identifier of each video program in the first update information according to the video theme type to which the determined video program belongs and the attribution granularity of the video program belonging to different video theme types, and the preference theme type Updating index; updating the video program corresponding to the identifier of the at least one video program in the first update information according to the obtained update index.
  • the user may be provided with video program update information according to the user's preferred topic type, the video theme type to which the video program belongs, and the attribution granularity of the video program belonging to different video question types, and the user may be provided for different users.
  • the preferred video update information improves the update efficiency of the video information and enhances the interaction capability between the electronic device and the user.
  • the disclosed system, apparatus, and method may be implemented in other manners.
  • the device embodiments described above are merely illustrative.
  • the division of the modules or units is only a logical function division.
  • there may be another division manner for example, multiple units or components may be used. Combinations can be integrated into another system, or some features can be ignored or not executed.
  • the mutual coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection through some interface, device or unit, and may be in an electrical, mechanical or other form.
  • the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, may be located in one place, or may be distributed to multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of the embodiment.
  • each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit.
  • the above integrated unit can be implemented in the form of hardware or in the form of a software functional unit.
  • the integrated unit if implemented in the form of a software functional unit and sold or used as a standalone product, may be stored in a computer readable storage medium.
  • the technical solution of the present invention which is essential or contributes to the prior art, or all or part of the technical solution, may be embodied in the form of a software product stored in a storage medium.
  • a number of instructions are included to cause a computer device (which may be a personal computer, server, or network device, etc.) or a processor to perform all or part of the steps of the methods described in various embodiments of the present invention.
  • the foregoing storage medium includes: a U disk, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, and the like. .

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Abstract

本发明实施例公开了一种视频信息更新方法及电子设备，涉及多媒体技术领域，可以为不同用户提供该用户偏好的视频更新信息，提高视频信息的更新效率。具体方案为：获取视频节目的第一更新信息；确定第一更新信息中的所有视频节目的标识所对应的视频节目所归属的视频主题类型和视频节目归属于不同的视频主题类型的归属粒度；获取视频客户端中当前登录用户的偏好主题类型；根据已确定的视频节目所归属的视频主题类型和视频节目归属于不同的视频主题类型的归属粒度，以及偏好主题类型计算第一更新信息中每个视频节目的标识所对应的视频节目的更新指数；根据得到的更新指数，更新第一更新信息中至少一个视频节目的标识所对应的视频节目。

Description

一种视频信息更新方法及电子设备
本申请要求于2013年12月19日提交中国专利局、申请号为2013107068265，发明名称为“一种视频信息更新方法及电子设备”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
本发明涉及多媒体技术领域，尤其涉及一种视频信息更新方法及电子设备。
背景技术
随着多媒体技术的发展，多媒体技术领域涌现出了很多能够为用户提供视频推荐的多媒体网页、多媒体应用以及客户端。
现有技术中的多媒体网页、多媒体应用以及客户端一般采用分类推荐、新剧热播推荐等方式为用户更新视频信息。
但是，现有技术在进行视频信息更新的过程中，并未考虑更新的视频内容与不同用户的观影偏好是否匹配，即不能够针对不同用户为该用户提供与该用户的观影偏好匹配的视频更新信息，视频信息的更新效率较低，电子设备与用户之间的交互能力较低。
发明内容
本发明的实施例提供一种视频信息更新方法及电子设备，可以为不同用户提供该用户偏好的视频更新信息，提高视频信息的更新效率，增强电子设备与用户之间的交互能力。
为达到上述目的，本发明的实施例采用如下技术方案：
本发明实施例的第一方面，提供一种视频信息更新方法，可以应用于电子设备，所述电子设备包括视频客户端，所述方法包括：
获取视频节目的第一更新信息，所述第一更新信息中包含预设时段内所有已更新的视频节目的标识；
确定所述第一更新信息中的所有所述视频节目的标识所对应的视频节目所归属的视频主题类型和所述第一更新信息中的所有所述视频节目的标识所对应的视频节目归属于不同的视频主题类型的归属粒度，所述归属粒度为所述视频节目归属于不同的视频主题类型的概率；
获取所述视频客户端中当前登录用户的偏好主题类型，所述偏好主题类 型中包含至少一个视频主题类型；
根据已确定的所述视频节目所归属的视频主题类型和所述视频节目归属于不同的视频主题类型的归属粒度，以及所述偏好主题类型计算所述第一更新信息中每个所述视频节目的标识所对应的视频节目的更新指数；
根据得到的更新指数，更新所述第一更新信息中至少一个所述视频节目的标识所对应的视频节目。
结合第一方面，在一种可能的实现方式中，根据已确定的所述视频节目所归属的视频主题类型和所述视频节目归属于不同的视频主题类型的归属粒度，以及所述偏好主题类型计算所述第一更新信息中每个所述视频节目的标识所对应的视频节目的更新指数，包括：
采用所述偏好主题类型匹配所述视频节目所归属的视频主题类型；
在所述视频节目的归属粒度中，确定至少一个匹配归属粒度，所述匹配归属粒度为所述视频节目归属于匹配成功的视频主题类型的归属粒度；
根据所述匹配归属粒度计算所述视频节目的更新指数，所述视频节目具有至少一个所述匹配归属粒度；
其中，所述视频节目的更新指数为所述视频节目的至少一个所述匹配归属粒度之和。
结合第一方面和上述可能的实现方式，在另一种可能的实现方式中，获取所述视频客户端中当前登录用户的偏好主题类型，包括：
获取所述视频客户端针对所述当前登录用户的视频节目播放记录中，每个所述视频主题类型的视频节目的播放频率；
确定所述播放频率高于预设频率阈值的视频主题类型为所述偏好主题类型；
其中，一个所述视频节目归属于至少一个所述视频主题类型。
结合第一方面和上述可能的实现方式，在另一种可能的实现方式中，在计算所述第一更新信息中每个所述视频节目的标识所对应的视频节目的更新指数之前，所述方法还包括：
根据每个所述偏好主题类型的所述视频节目在所述视频节目播放记录中的播放频率，确定所述当前登录用户对每个所述偏好主题类型的偏好概率。
结合第一方面和上述可能的实现方式，在另一种可能的实现方式中，根 据已确定的所述视频节目所归属的视频主题类型和所述视频节目归属于不同的视频主题类型的归属粒度，以及所述偏好主题类型计算所述第一更新信息中每个所述视频节目的标识所对应的视频节目的更新指数，包括：
采用所述偏好主题类型匹配所述视频节目所归属的视频主题类型；
在所述视频节目的归属粒度中，确定至少一个匹配归属粒度，所述匹配归属粒度为所述视频节目归属于匹配成功的视频主题类型的归属粒度；
计算每个所述偏好主题类型的偏好概率和所述匹配归属粒度中与所述偏好主题类型对应的匹配归属粒度的乘积；
根据得到的至少一个乘积计算所述视频节目的更新指数；
其中，所述视频节目的更新指数为得到的至少一个乘积之和。
结合第一方面和上述可能的实现方式，在另一种可能的实现方式中，根据得到的更新指数，更新所述第一更新信息中至少一个所述视频节目的标识所对应的视频节目，包括：
按照得到的更新指数由大到小的顺序生成视频更新列表；
通过所述视频更新列表在所述视频客户端展示所述第一更新信息中至少一个所述视频节目的标识所对应的视频节目。
本发明实施例的第二方面，还提供一种电子设备，所述电子设备包括视频客户端，所述电子设备还包括：
第一获取单元，用于获取视频节目的第一更新信息，所述第一更新信息中包含预设时段内所有已更新的视频节目的标识；
第一确定单元，用于确定所述第一获取单元获取到的所述第一更新信息中的所有所述视频节目的标识所对应的视频节目所归属的视频主题类型和所述第一更新信息中的所有所述视频节目的标识所对应的视频节目归属于不同的视频主题类型的归属粒度，所述归属粒度为所述视频节目归属于不同的视频主题类型的概率；
第二获取单元，用于获取所述视频客户端中当前登录用户的偏好主题类型，所述偏好主题类型中包含至少一个视频主题类型；
计算单元，用于根据所述第一确定单元已确定的所述视频节目所归属的视频主题类型和所述视频节目归属于不同的视频主题类型的归属粒度，以及所述第二获取单元获取到的所述偏好主题类型计算所述第一更新信息中每个 所述视频节目的标识所对应的视频节目的更新指数；
更新单元，用于根据所述计算单元得到的更新指数，更新所述第一更新信息中至少一个所述视频节目的标识所对应的视频节目。
结合第二方面，在一种可能的实现方式中，所述计算单元，可以包括：
匹配模块，用于采用所述偏好主题类型匹配所述视频节目所归属的视频主题类型；
第一确定模块，用于在所述视频节目的归属粒度中，确定至少一个匹配归属粒度，所述匹配归属粒度为所述视频节目归属于所述匹配模块匹配成功的视频主题类型的归属粒度；
第一计算模块，用于根据所述第一确定模块确定的所述匹配归属粒度计算所述视频节目的更新指数，所述视频节目具有至少一个所述匹配归属粒度；
其中，所述视频节目的更新指数为所述视频节目的至少一个所述匹配归属粒度之和。
结合第二方面和上述可能的实现方式，在另一种可能的实现方式中，所述第二获取单元，可以包括：
获取模块，用于获取所述视频客户端针对所述当前登录用户的视频节目播放记录中，每个所述视频主题类型的视频节目的播放频率；
第二确定模块，用于确定所述获取模块获取到的所述播放频率高于预设频率阈值的视频主题类型为所述偏好主题类型；
其中，一个所述视频节目归属于至少一个所述视频主题类型。
结合第二方面和上述可能的实现方式，在另一种可能的实现方式中，所述电子设备，还包括：
第二确定单元，用于在所述计算单元计算所述第一更新信息中每个所述视频节目的标识所对应的视频节目的更新指数之前，根据每个所述偏好主题类型的所述视频节目在所述视频节目播放记录中的播放频率，确定所述当前登录用户对每个所述偏好主题类型的偏好概率。
结合第二方面和上述可能的实现方式，在另一种可能的实现方式中，所述计算单元，包括：
匹配模块，用于采用所述偏好主题类型匹配所述视频节目所归属的视频主题类型；
第一确定模块，用于在所述视频节目的归属粒度中，确定至少一个匹配归属粒度，所述匹配归属粒度为所述视频节目归属于所述匹配模块匹配成功的视频主题类型的归属粒度；
第二计算模块，用于计算每个所述偏好主题类型的偏好概率和所述匹配归属粒度中与所述偏好主题类型对应的匹配归属粒度的乘积；
第三计算单元，用于根据得到的至少一个乘积计算所述视频节目的更新指数；
其中，所述视频节目的更新指数为得到的至少一个乘积之和。
结合第二方面和上述可能的实现方式，在另一种可能的实现方式中，所述更新单元，包括：
生成模块，用于按照得到的更新指数由大到小的顺序生成视频更新列表；
展示模块，用于通过所述生成模块生成的所述视频更新列表在所述视频客户端展示所述第一更新信息中至少一个所述视频节目的标识所对应的视频节目。
本发明实施例提供的视频信息更新方法及电子设备，获取视频节目的第一更新信息，第一更新信息中包含预设时段内所有已更新的视频节目的标识；确定第一更新信息中的所有视频节目的标识所对应的视频节目所归属的视频主题类型和所述第一更新信息中的所有视频节目的标识所对应的视频节目归属于不同的视频主题类型的归属粒度；获取视频客户端中当前登录用户的偏好主题类型；根据已确定的视频节目所归属的视频主题类型和视频节目归属于不同的视频主题类型的归属粒度，以及偏好主题类型计算第一更新信息中每个视频节目的标识所对应的视频节目的更新指数；根据得到的更新指数，更新第一更新信息中至少一个视频节目的标识所对应的视频节目。
与现有技术相比，可以结合用户的偏好主题类型、视频节目所归属的视频主题类型和视频节目归属于不同视频题类型的归属粒度为用户提供视频节目更新信息，可以为不同用户提供该用户偏好的视频更新信息，提高视频信息的更新效率，增强电子设备与用户之间的交互能力。
附图说明
为了更清楚地说明本发明实施例或现有技术中的技术方案，下面将对实施例或现有技术描述中所需要使用的附图作简单地介绍，显而易见地，下面 描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1为本发明实施例1中的一种视频信息更新方法流程图；
图2为本发明实施例2中的一种视频信息更新方法流程图；
图3为本发明实施例2中的另一种视频信息更新方法流程图；
图4为本发明实施例3中的一种电子设备的组成示意图；
图5为本发明实施例3中的另一种电子设备的组成示意图；
图6为本发明实施例3中的另一种电子设备的组成示意图；
图7为本发明实施例3中的另一种电子设备的组成示意图；
图8为本发明实施例3中的另一种电子设备的组成示意图。
具体实施方式
下面将结合本发明实施例中的附图，对本发明实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例仅仅是本发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有做出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
另外，本文中术语“系统”和“网络”在本文中常被可互换使用。本文中术语“和/或”，仅仅是一种描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B这三种情况。另外，本文中字符“/”，一般表示前后关联对象是一种“或”的关系。
实施例1
本发明实施例提供一种视频信息更新方法，应用于电子设备，该电子设备包括视频客户端，如图1所示，该视频信息更新方法包括：
S101、电子设备获取视频节目的第一更新信息，第一更新信息中包含预设时段内所有已更新的视频节目的标识。
其中，第一更新信息可以包含电子设备就可以从服务器侧获取到的服务器在预设时段内更新的所有视频节目的标识。
示例性的，电子设备可以为智能电视机、个人电脑、智能手机或者ipad等可以安装TV版客户端、并具有视频播放功能的电子终端中的任意一个。
S102、电子设备确定第一更新信息中的所有视频节目的标识所对应的视 频节目所归属的视频主题类型和第一更新信息中的所有视频节目的标识所对应的视频节目归属于不同的视频主题类型的归属粒度。
其中，归属粒度为视频节目归属于不同的视频主题类型的概率。
S103、电子设备获取视频客户端中当前登录用户的偏好主题类型，偏好主题类型中包含至少一个视频主题类型。
具体的，电子设备的视频客户端可以保存至少一个登录用户的偏好主题类型。视频节目可以包括：电影、电视剧和视频短片等。其中，每个登录用户的偏好主题类型中可以包含至少一个视频主题类型，即每个用户偏好的视频主题类型可能不止一项；视频主题类型可以包括：动作剧、喜剧、爱情剧、科幻剧、恐怖剧、动画片和动漫等剧集类型中的至少一项。
进一步的，电子设备还可以获取当前登录用户对每个偏好主题类型的偏好概率。其中，由于每个用户偏好的视频主题类型可能不止一项，因此，电子设备在获取视频客户端中当前登录用户的偏好主题类型的基础上，还可以获取当前登录用户对每个偏好主题类型的偏好概率。
其中，电子设备获取所述视频客户端中当前登录用户的偏好主题类型的方法具体可以包括：电子设备获取所述视频客户端针对所述当前登录用户的视频节目播放记录中，每个所述视频主题类型的视频节目的播放频率；确定所述播放频率高于预设频率阈值的视频主题类型为所述偏好主题类型；其中，一个所述视频节目归属于至少一个所述视频主题类型。
S104、电子设备根据已确定的所述视频节目所归属的视频主题类型和视频节目归属于不同的视频主题类型的归属粒度，以及偏好主题类型计算第一更新信息中每个视频节目的标识所对应的视频节目的更新指数。
其中，归属粒度为待推荐视频节目归属于不同的视频主题类型的概率。
S105、电子设备根据得到的更新指数，更新第一更新信息中至少一个视频节目的标识所对应的视频节目。
示例性的，电子设备根据得到的更新指数，更新所述第一更新信息中至少一个所述视频节目的标识所对应的视频节目的方法可以包括：电子设备按照得到的更新指数由大到小的顺序生成视频更新列表；通过所述视频更新列表在所述视频客户端展示所述第一更新信息中至少一个所述视频节目的标识所对应的视频节目。
本发明实施例提供的视频信息更新方法，获取视频节目的第一更新信息，第一更新信息中包含预设时段内所有已更新的视频节目的标识；确定第一更新信息中的所有视频节目的标识所对应的视频节目所归属的视频主题类型和所述第一更新信息中的所有视频节目的标识所对应的视频节目归属于不同的视频主题类型的归属粒度；获取视频客户端中当前登录用户的偏好主题类型；根据已确定的视频节目所归属的视频主题类型和视频节目归属于不同的视频主题类型的归属粒度，以及偏好主题类型计算第一更新信息中每个视频节目的标识所对应的视频节目的更新指数；根据得到的更新指数，更新第一更新信息中至少一个视频节目的标识所对应的视频节目。
与现有技术相比，可以结合用户的偏好主题类型、视频节目所归属的视频主题类型和视频节目归属于不同视频题类型的归属粒度为用户提供视频节目更新信息，可以为不同用户提供该用户偏好的视频更新信息，提高视频信息的更新效率，增强电子设备与用户之间的交互能力。
实施例2
本发明实施例提供一种视频信息更新方法，如图2所示，包括：
S201、电子设备获取视频节目的第一更新信息，第一更新信息中包含预设时段内所有已更新的视频节目的标识。
S202、电子设备确定第一更新信息中的所有视频节目的标识所对应的视频节目所归属的视频主题类型和第一更新信息中的所有所述视频节目的标识所对应的视频节目归属于不同的视频主题类型的归属粒度。
其中，归属粒度为视频节目归属于不同的视频主题类型的概率。
其中，视频节目可以为电视剧、电影或者视频片段等。电子设备可以从服务器侧获取已获得版权的视频节目的概要信息，所述概要信息中包括已获得版权的视频节目的名称、主演姓名、导演姓名和内容简介等信息；在获取到已获得版权的视频节目的概要信息后，电子设备可以根据获取到的概要信息为每一个视频节目划分类别，其中，一个视频节目可以归属于至少一个视频主题类型；然后电子设备可以根据每个已获得版权的视频节目的概要信息确定该视频节目归属于不同的视频主题类型的归属粒度。
S203、电子设备获取视频客户端针对当前登录用户的视频节目播放记录中，每个视频主题类型的视频节目的播放频率。
示例性的，电子设备可以获取电子设备的视频客户端针对当前登录用户的视频节目播放记录；电子设备统计所述播放记录中每个视频节目的播放次数和每次播放该视频节目的播放时长，根据所述播放记录中每个视频节目的播放次数和播放时长计算每个视频节目播放的总时长；然后，电子设备可以获取播放记录中每个视频节目的概要信息，所述概要信息中包括所述已获得版权的视频节目的名称、主演姓名、导演姓名和内容简介等信息；在获取到视频节目的概要信息后，电子设备可以根据获取到的概要信息为每一个视频节目划分类别，其中，一个视频节目可以归属于至少一个视频主题类型；最后，电子设备可以统计每一项视频主题类型中的所有视频节目的播放总时长；其中，每一项视频主题类型中的所有视频节目的播放总时长则可以作为每个视频主题类型的视频节目的播放频率。
进一步可选的，电子设备也可以仅统计所述播放记录中每个视频节目的播放次数；获取播放记录中每个视频节目的概要信息，根据获取到的概要信息为每一个视频节目划分类别，然后统计每一项视频主题类型中的所有视频节目的总播放次数，其中，每一项视频主题类型中的所有视频节目的总播放次数则可以作为每个视频主题类型的视频节目的播放频率。
S204、电子设备确定播放频率高于预设频率阈值的视频主题类型为偏好主题类型。
示例性的，若每一项视频主题类型中的所有视频节目的播放总时长作为每个视频主题类型的视频节目的播放频率，则电子设备可以判断每一项视频主题类型中的所有视频节目的播放总时长是否高于预设频率阈值，如预设频率阈值可以为50小时；若所有视频节目主题类别中的一项或者多项视频主题类型中的所有视频节目的播放总时长高于预设频率阈值，则电子设备可以确定该一项或者多项视频主题类型为偏好主题类型。
其中，一个视频节目归属于至少一个视频主题类型。
需要说明的是，在本发明实施例的第一种应用场景中，电子设备在获取到视频节目所归属的视频主题类型和所述视频节目的归属粒度以及偏好主题类型之后，则可以根据获取到的信息计算视频节目的更新指数，即如图2所示，可以在执行S201-S204之后，直接执行S206。
进一步可选的，如图3所示，在本发明实施例的第二种应用场景中，在 执行S201-S204之后，本发明实施例的方法还可以包括：S205：
S205、电子设备根据每个偏好主题类型的视频节目在视频节目播放记录中的播放频率，确定当前登录用户对每个偏好主题类型的偏好概率。
示例性的，若电子设备获取到视频客户端针对当前登录用户的视频节目播放记录中，一共包含有5项视频主题类型(主题类型A、主题类型B、主题类型C、主题类型D和主题类型E)的视频节目的播放记录。其中，主题类型A的播放总时长为：31小时；主题类型B的播放总时长为：65小时；主题类型C的播放总时长为：42.2小时；主题类型D的播放总时长为：85小时；主题类型E的播放总时长为：27小时。
若预设频率阈值可以为49小时，则电子设备可以确定主题类型B和主题类型D为当前登录用户的偏好主题类型；基于此，电子设备可以根据主题类型B和主题类型D的播放总时长计算用户对主题类型B的偏好概率和用户对主题类型D的偏好概率。例如，电子设备可以将主题类型B的播放总时长、主题类型D的播放总时长分别除以主题类型B和主题类型D的播放总时长之和所得到的商值分别作为用户对主题类型B的偏好概率和用户对主题类型D的偏好概率。用户对主题类型B的偏好概率X可以为：X＝65/(65+85)×100％＝43％；用户对主题类型D的偏好概率Y可以为：Y＝85/(65+85)×100％＝57％。
其中，在本发明实施例的第一种应用场景中，电子设备在获取到视频节目所归属的主题类型和所述视频节目的归属粒度以及所述偏好主题类型之后，不需要执行S205，电子设备可以直接根据视频节目所归属的主题类型和视频节目的归属粒度，以及偏好主题类型计算视频节目的更新指数，具体的，如图2所示，本发明实施例的方法还可以包括：S206、S207和S208。
S206、电子设备采用偏好主题类型匹配所述视频节目所归属的视频主题类型。
S207、电子设备在视频节目的归属粒度中，确定至少一个匹配归属粒度，匹配归属粒度为视频节目归属于匹配成功的视频主题类型的归属粒度。
示例性的，若现有3个视频节目：视频节目1、视频节目2、视频节目3；视频节目1所归属的视频主题类型包括：主题类型A和主题类型B，且视频节目1归属于主题类型A的归属粒度为20％，视频节目1归属于主题类型B 的归属粒度为80％；视频节目2所归属的视频主题类型包括：主题类型A和主题类型C，且视频节目2归属于主题类型A的归属粒度为35％，视频节目21归属于主题类型C的归属粒度为65％；视频节目3所归属的视频主题类型包括主题类型B和主题类型D，且视频节目3归属于主题类型B的归属粒度为45％，视频节目1归属于主题类型D的归属粒度为55％。
由于主题类型B和主题类型D为当前登录用户的偏好主题类型，因此，电子设备可以确定视频节目1的匹配成功的视频主题类型为主题类型B，匹配归属粒度为视频节目1归属于主题类型B的归属粒度：80％；视频节目2没有匹配成功的视频主题类型，匹配归属粒度为0；视频节目3的匹配成功的视频主题类型为主题类型B和主题类型D，匹配归属粒度为视频节目3归属于主题类型B的归属粒度45％和视频节目3归属于主题类型D的归属粒度55％。
S208、电子设备根据匹配归属粒度计算视频节目的更新指数，视频节目具有至少一个匹配归属粒度。
其中，视频节目的更新指数为视频节目的至少一个匹配归属粒度之和。
示例性的，在本发明实施例的第一种应用场景中，如上述实例所示，视频节目1的更新指数为视频节目1归属于主题类型B的归属粒度：80％；视频节目2的更新指数为0；视频节目3的更新指数为视频节目1归属于主题类型B的归属粒度和视频节目1归属于主题类型D的归属粒度之和：80+20％＝100％。
相应的，如图3所示，在本发明实施例的第二种应用场景中，本发明实施例的方法可以不包括S208，在这种应用场景中，本发明实施例的方法包括S205、S206、S207、S209和S210：
S209、电子设备计算每个所述偏好主题类型的偏好概率和所述匹配归属粒度中与所述偏好主题类型对应的匹配归属粒度的乘积。
示例性的，用户对主题类型B的偏好概率X可以为：X＝65/(65+85)×100％＝43％；用户对主题类型D的偏好概率Y可以为：Y＝85/(65+85)×100％＝57％。视频文件1的匹配成功的视频主题类型为主题类型B，匹配归属粒度为视频文件1归属于主题类型B的归属粒度：80％；视频文件2没有匹配成功的视频主题类型，匹配归属粒度为0；视频文件3的 匹配成功的视频主题类型为主题类型B和主题类型D，匹配归属粒度为视频文件1归属于主题类型B的归属粒度45％和视频文件1归属于主题类型D的归属粒度55％。
基于此，对于视频文件1而言至少一个偏好主题类型的偏好概率和匹配归属粒度中与偏好主题类型对应的匹配归属粒度的乘积为：X×80％＝43％×80％＝34.4％；对于视频文件2而言至少一个偏好主题类型的偏好概率和匹配归属粒度中与偏好主题类型对应的匹配归属粒度的乘积为：0；对于视频文件2而言至少一个偏好主题类型的偏好概率和匹配归属粒度中与偏好主题类型对应的匹配归属粒度的乘积为：X×45％＝43％×45％＝19.35％和Y×45％＝57％×55％＝31.35％。
S210、电子设备根据得到的至少一个乘积计算所述视频节目的更新指数。
其中，所述视频节目的更新指数为得到的至少一个乘积之和。
S211、电子设备按照得到的更新指数由大到小的顺序生成视频更新列表。
S212、电子设备通过视频更新列表在所述视频客户端展示第一更新信息中至少一个视频节目的标识所对应的视频节目。
本发明实施例提供的视频信息更新方法，获取视频节目的第一更新信息，第一更新信息中包含预设时段内所有已更新的视频节目的标识；确定第一更新信息中的所有视频节目的标识所对应的视频节目所归属的视频主题类型和所述第一更新信息中的所有视频节目的标识所对应的视频节目归属于不同的视频主题类型的归属粒度；获取视频客户端中当前登录用户的偏好主题类型；根据已确定的视频节目所归属的视频主题类型和视频节目归属于不同的视频主题类型的归属粒度，以及偏好主题类型计算第一更新信息中每个视频节目的标识所对应的视频节目的更新指数；根据得到的更新指数，更新第一更新信息中至少一个视频节目的标识所对应的视频节目。
与现有技术相比，可以结合用户的偏好主题类型、视频节目所归属的视频主题类型和视频节目归属于不同视频题类型的归属粒度为用户提供视频节目更新信息，可以为不同用户提供该用户偏好的视频更新信息，提高视频信息的更新效率，增强电子设备与用户之间的交互能力。
实施例3
本发明实施例提供一种电子设备，如图4所示，包括：第一获取单元31、 第一确定单元32、第二获取单元33、计算单元34和更新单元35。
第一获取单元31，用于获取视频节目的第一更新信息，所述第一更新信息中包含预设时段内所有已更新的视频节目的标识。
第一确定单元32，用于确定所述第一获取单元31获取到的所述第一更新信息中的所有所述视频节目的标识所对应的视频节目所归属的视频主题类型和所述第一更新信息中的所有所述视频节目的标识所对应的视频节目归属于不同的视频主题类型的归属粒度，所述归属粒度为所述视频节目归属于不同的视频主题类型的概率。
第二获取单元33，用于获取所述视频客户端中当前登录用户的偏好主题类型，所述偏好主题类型中包含至少一个视频主题类型。
计算单元34，用于根据所述第一确定单元32已确定的所述视频节目所归属的视频主题类型和所述视频节目归属于不同的视频主题类型的归属粒度，以及所述第二获取单元33获取到的所述偏好主题类型计算所述第一更新信息中每个所述视频节目的标识所对应的视频节目的更新指数。
更新单元35，用于根据所述计算单元34得到的更新指数，更新所述第一更新信息中至少一个所述视频节目的标识所对应的视频节目。
进一步的，如图5所示，所述第二获取单元33，可以包括：获取模块331和第二确定模块332。
获取模块331，用于获取所述视频客户端针对所述当前登录用户的视频节目播放记录中，每个所述视频主题类型的视频节目的播放频率。
第二确定模块332，用于确定所述获取模块331获取到的所述播放频率高于预设频率阈值的视频主题类型为所述偏好主题类型。
其中，一个所述视频节目归属于至少一个所述视频主题类型。
进一步的，在本发明实施例的一种应用场景中，如图6所示，所述计算单元34，可以包括：匹配模块341、第一确定模块342和第一计算模块343。
匹配模块341，用于采用所述偏好主题类型匹配所述视频节目所归属的视频主题类型。
第一确定模块342，用于在所述视频节目的归属粒度中，确定至少一个匹配归属粒度，所述匹配归属粒度为所述视频节目归属于所述匹配模块341匹配成功的视频主题类型的归属粒度。
第一计算模块343，用于根据所述第一确定模块342确定的所述匹配归属粒度计算所述视频节目的更新指数，所述视频节目具有至少一个所述匹配归属粒度。
其中，所述视频节目的更新指数为所述视频节目的至少一个所述匹配归属粒度之和。
进一步的，在本发明实施例的另一种应用场景中，如图7所示，所述电子设备，还可以包括：
第二确定单元36，用于在所述计算单元34计算所述第一更新信息中每个所述视频节目的标识所对应的视频节目的更新指数之前，根据每个所述偏好主题类型的所述视频节目在所述视频节目播放记录中的播放频率，确定所述当前登录用户对每个所述偏好主题类型的偏好概率。
进一步的，在这种应用场景中，如图8所示，所述计算单元，可以包括：匹配模块341、第一确定模块342、第二计算模块344和第三计算单元345。
匹配模块341，用于采用所述偏好主题类型匹配所述视频节目所归属的视频主题类型。
第一确定模块342，用于在所述视频节目的归属粒度中，确定至少一个匹配归属粒度，所述匹配归属粒度为所述视频节目归属于所述匹配模块匹配成功的视频主题类型的归属粒度。
第二计算模块344，用于计算每个所述偏好主题类型的偏好概率和所述匹配归属粒度中与所述偏好主题类型对应的匹配归属粒度的乘积。
第三计算单元345，用于根据得到的至少一个乘积计算所述视频节目的更新指数。
其中，所述视频节目的更新指数为得到的至少一个乘积之和。
进一步的，所述更新单元35，可以包括：生成模块和展示模块。
生成模块，用于按照得到的更新指数由大到小的顺序生成视频更新列表。
展示模块，用于通过所述生成模块生成的所述视频更新列表在所述视频客户端展示所述第一更新信息中至少一个所述视频节目的标识所对应的视频节目。
需要说明的是，本发明实施例提供的电子设备中部分功能模块的具体描述可以参考本发明方法实施例中的对应内容，本实施例这里不再详细赘述。
本发明实施例提供的电子设备，获取视频节目的第一更新信息，第一更新信息中包含预设时段内所有已更新的视频节目的标识；确定第一更新信息中的所有视频节目的标识所对应的视频节目所归属的视频主题类型和所述第一更新信息中的所有视频节目的标识所对应的视频节目归属于不同的视频主题类型的归属粒度；获取视频客户端中当前登录用户的偏好主题类型；根据已确定的视频节目所归属的视频主题类型和视频节目归属于不同的视频主题类型的归属粒度，以及偏好主题类型计算第一更新信息中每个视频节目的标识所对应的视频节目的更新指数；根据得到的更新指数，更新第一更新信息中至少一个视频节目的标识所对应的视频节目。
与现有技术相比，可以结合用户的偏好主题类型、视频节目所归属的视频主题类型和视频节目归属于不同视频题类型的归属粒度为用户提供视频节目更新信息，可以为不同用户提供该用户偏好的视频更新信息，提高视频信息的更新效率，增强电子设备与用户之间的交互能力。
通过以上的实施方式的描述，所属领域的技术人员可以清楚地了解到，为描述的方便和简洁，仅以上述各功能模块的划分进行举例说明，实际应用中，可以根据需要而将上述功能分配由不同的功能模块完成，即将装置的内部结构划分成不同的功能模块，以完成以上描述的全部或者部分功能。上述描述的系统，装置和单元的具体工作过程，可以参考前述方法实施例中的对应过程，在此不再赘述。
在本申请所提供的几个实施例中，应该理解到，所揭露的系统，装置和方法，可以通过其它的方式实现。例如，以上所描述的装置实施例仅仅是示意性的，例如，所述模块或单元的划分，仅仅为一种逻辑功能划分，实际实现时可以有另外的划分方式，例如多个单元或组件可以结合或者可以集成到另一个系统，或一些特征可以忽略，或不执行。另一点，所显示或讨论的相互之间的耦合或直接耦合或通信连接可以是通过一些接口，装置或单元的间接耦合或通信连接，可以是电性，机械或其它的形式。
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单元来实现本实施例方案的目的。
另外，在本发明各个实施例中的各功能单元可以集成在一个处理单元中，也可以是各个单元单独物理存在，也可以两个或两个以上单元集成在一个单元中。上述集成的单元既可以采用硬件的形式实现，也可以采用软件功能单元的形式实现。
所述集成的单元如果以软件功能单元的形式实现并作为独立的产品销售或使用时，可以存储在一个计算机可读取存储介质中。基于这样的理解，本发明的技术方案本质上或者说对现有技术做出贡献的部分或者该技术方案的全部或部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质中，包括若干指令用以使得一台计算机设备(可以是个人计算机，服务器，或者网络设备等)或处理器(processor)执行本发明各个实施例所述方法的全部或部分步骤。而前述的存储介质包括：U盘、移动硬盘、只读存储器(ROM，Read-Only Memory)、随机存取存储器(RAM，Random Access Memory)、磁碟或者光盘等各种可以存储程序代码的介质。
以上所述，仅为本发明的具体实施方式，但本发明的保护范围并不局限于此，任何熟悉本技术领域的技术人员在本发明揭露的技术范围内，可轻易想到变化或替换，都应涵盖在本发明的保护范围之内。因此，本发明的保护范围应以所述权利要求的保护范围为准。

Claims (12)

  1. 一种视频信息更新方法，其特征在于，应用于电子设备，所述电子设备包括视频客户端，所述方法包括：
    获取视频节目的第一更新信息，所述第一更新信息中包含预设时段内所有已更新的视频节目的标识；
    确定所述第一更新信息中的所有所述视频节目的标识所对应的视频节目所归属的视频主题类型和所述第一更新信息中的所有所述视频节目的标识所对应的视频节目归属于不同的视频主题类型的归属粒度，所述归属粒度为所述视频节目归属于不同的视频主题类型的概率；
    获取所述视频客户端中当前登录用户的偏好主题类型，所述偏好主题类型中包含至少一个视频主题类型；
    根据已确定的所述视频节目所归属的视频主题类型和所述视频节目归属于不同的视频主题类型的归属粒度，以及所述偏好主题类型计算所述第一更新信息中每个所述视频节目的标识所对应的视频节目的更新指数；
    根据得到的更新指数，更新所述第一更新信息中至少一个所述视频节目的标识所对应的视频节目。
  2. 根据权利要求1所述的方法，其特征在于，根据已确定的所述视频节目所归属的视频主题类型和所述视频节目归属于不同的视频主题类型的归属粒度，以及所述偏好主题类型计算所述第一更新信息中每个所述视频节目的标识所对应的视频节目的更新指数，包括：
    采用所述偏好主题类型匹配所述视频节目所归属的视频主题类型；
    在所述视频节目的归属粒度中，确定至少一个匹配归属粒度，所述匹配归属粒度为所述视频节目归属于匹配成功的视频主题类型的归属粒度；
    根据所述匹配归属粒度计算所述视频节目的更新指数，所述视频节目具有至少一个所述匹配归属粒度；
    其中，所述视频节目的更新指数为所述视频节目的至少一个所述匹配归属粒度之和。
  3. 根据权利要求1所述的方法，其特征在于，获取所述视频客户端中当前登录用户的偏好主题类型，包括：
    获取所述视频客户端针对所述当前登录用户的视频节目播放记录中，每 个所述视频主题类型的视频节目的播放频率；
    确定所述播放频率高于预设频率阈值的视频主题类型为所述偏好主题类型；
    其中，一个所述视频节目归属于至少一个所述视频主题类型。
  4. 根据权利要求3所述的方法，其特征在于，在计算所述第一更新信息中每个所述视频节目的标识所对应的视频节目的更新指数之前，所述方法还包括：
    根据每个所述偏好主题类型的所述视频节目在所述视频节目播放记录中的播放频率，确定所述当前登录用户对每个所述偏好主题类型的偏好概率。
  5. 根据权利要求4所述的方法，其特征在于，根据已确定的所述视频节目所归属的视频主题类型和所述视频节目归属于不同的视频主题类型的归属粒度，以及所述偏好主题类型计算所述第一更新信息中每个所述视频节目的标识所对应的视频节目的更新指数，包括：
    采用所述偏好主题类型匹配所述视频节目所归属的视频主题类型；
    在所述视频节目的归属粒度中，确定至少一个匹配归属粒度，所述匹配归属粒度为所述视频节目归属于匹配成功的视频主题类型的归属粒度；
    计算每个所述偏好主题类型的偏好概率和所述匹配归属粒度中与所述偏好主题类型对应的匹配归属粒度的乘积；
    根据得到的至少一个乘积计算所述视频节目的更新指数；
    其中，所述视频节目的更新指数为得到的至少一个乘积之和。
  6. 根据权利要求1所述的方法，其特征在于，根据得到的更新指数，更新所述第一更新信息中至少一个所述视频节目的标识所对应的视频节目，包括：
    按照得到的更新指数由大到小的顺序生成视频更新列表；
    通过所述视频更新列表在所述视频客户端展示所述第一更新信息中至少一个所述视频节目的标识所对应的视频节目。
  7. 一种电子设备，其特征在于，所述电子设备包括视频客户端，所述电子设备还包括：
    第一获取单元，用于获取视频节目的第一更新信息，所述第一更新信息中包含预设时段内所有已更新的视频节目的标识；
    第一确定单元，用于确定所述第一获取单元获取到的所述第一更新信息中的所有所述视频节目的标识所对应的视频节目所归属的视频主题类型和所述第一更新信息中的所有所述视频节目的标识所对应的视频节目归属于不同的视频主题类型的归属粒度，所述归属粒度为所述视频节目归属于不同的视频主题类型的概率；
    第二获取单元，用于获取所述视频客户端中当前登录用户的偏好主题类型，所述偏好主题类型中包含至少一个视频主题类型；
    计算单元，用于根据所述第一确定单元已确定的所述视频节目所归属的视频主题类型和所述视频节目归属于不同的视频主题类型的归属粒度，以及所述第二获取单元获取到的所述偏好主题类型计算所述第一更新信息中每个所述视频节目的标识所对应的视频节目的更新指数；
    更新单元，用于根据所述计算单元得到的更新指数，更新所述第一更新信息中至少一个所述视频节目的标识所对应的视频节目。
  8. 根据权利要求7所述的电子设备，其特征在于，所述计算单元，包括：
    匹配模块，用于采用所述偏好主题类型匹配所述视频节目所归属的视频主题类型；
    第一确定模块，用于在所述视频节目的归属粒度中，确定至少一个匹配归属粒度，所述匹配归属粒度为所述视频节目归属于所述匹配模块匹配成功的视频主题类型的归属粒度；
    第一计算模块，用于根据所述第一确定模块确定的所述匹配归属粒度计算所述视频节目的更新指数，所述视频节目具有至少一个所述匹配归属粒度；
    其中，所述视频节目的更新指数为所述视频节目的至少一个所述匹配归属粒度之和。
  9. 根据权利要求7所述的电子设备，其特征在于，所述第二获取单元，包括：
    获取模块，用于获取所述视频客户端针对所述当前登录用户的视频节目播放记录中，每个所述视频主题类型的视频节目的播放频率；
    第二确定模块，用于确定所述获取模块获取到的所述播放频率高于预设频率阈值的视频主题类型为所述偏好主题类型；
    其中，一个所述视频节目归属于至少一个所述视频主题类型。
  10. 根据权利要求9所述的电子设备，其特征在于，还包括：
    第二确定单元，用于在所述计算单元计算所述第一更新信息中每个所述视频节目的标识所对应的视频节目的更新指数之前，根据每个所述偏好主题类型的所述视频节目在所述视频节目播放记录中的播放频率，确定所述当前登录用户对每个所述偏好主题类型的偏好概率。
  11. 根据权利要求10所述的电子设备，其特征在于，所述计算单元，包括：
    匹配模块，用于采用所述偏好主题类型匹配所述视频节目所归属的视频主题类型；
    第一确定模块，用于在所述视频节目的归属粒度中，确定至少一个匹配归属粒度，所述匹配归属粒度为所述视频节目归属于所述匹配模块匹配成功的视频主题类型的归属粒度；
    第二计算模块，用于计算每个所述偏好主题类型的偏好概率和所述匹配归属粒度中与所述偏好主题类型对应的匹配归属粒度的乘积；
    第三计算单元，用于根据得到的至少一个乘积计算所述视频节目的更新指数；
    其中，所述视频节目的更新指数为得到的至少一个乘积之和。
  12. 根据权利要求7所述的电子设备，其特征在于，所述更新单元，包括：
    生成模块，用于按照得到的更新指数由大到小的顺序生成视频更新列表；
    展示模块，用于通过所述生成模块生成的所述视频更新列表在所述视频客户端展示所述第一更新信息中至少一个所述视频节目的标识所对应的视频节目。
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114143612A (zh) * 2021-12-06 2022-03-04 北京达佳互联信息技术有限公司 视频展示方法、装置、电子设备、存储介质及程序产品

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103731737B (zh) * 2013-12-19 2017-03-15 乐视网信息技术（北京）股份有限公司 一种视频信息更新方法及电子设备
CN105335595A (zh) * 2014-06-30 2016-02-17 杜比实验室特许公司 基于感受的多媒体处理
CN107295373A (zh) * 2017-06-30 2017-10-24 天脉聚源(北京)传媒科技有限公司 一种节目内容处理方法及装置
CN110489593B (zh) * 2019-08-20 2023-04-28 腾讯科技（深圳）有限公司 视频的话题处理方法、装置、电子设备及存储介质
CN111988669B (zh) * 2020-08-24 2022-06-03 北京达佳互联信息技术有限公司 视频交互数据的处理方法、装置、电子设备和存储介质

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050149965A1 (en) * 2003-12-31 2005-07-07 Raja Neogi Selective media storage based on user profiles and preferences
CN101141591A (zh) * 2007-09-29 2008-03-12 腾讯科技（深圳）有限公司 节目列表显示方法及网络视频系统
CN102118639A (zh) * 2010-01-06 2011-07-06 索尼公司 信息处理装置、信息处理方法和程序
CN103731737A (zh) * 2013-12-19 2014-04-16 乐视网信息技术（北京）股份有限公司 一种视频信息更新方法及电子设备

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7627824B2 (en) * 2004-07-12 2009-12-01 Alcatel Lucent Personalized video entertainment system
CN101094335B (zh) * 2006-06-20 2010-10-13 株式会社日立制作所 电视节目推荐设备和电视节目推荐方法
CN101312509A (zh) * 2007-05-22 2008-11-26 宝利微系统控股公司 个性化电视设备和使用其获取网络信息的方法

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20050149965A1 (en) * 2003-12-31 2005-07-07 Raja Neogi Selective media storage based on user profiles and preferences
CN101141591A (zh) * 2007-09-29 2008-03-12 腾讯科技（深圳）有限公司 节目列表显示方法及网络视频系统
CN102118639A (zh) * 2010-01-06 2011-07-06 索尼公司 信息处理装置、信息处理方法和程序
CN103731737A (zh) * 2013-12-19 2014-04-16 乐视网信息技术（北京）股份有限公司 一种视频信息更新方法及电子设备

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114143612A (zh) * 2021-12-06 2022-03-04 北京达佳互联信息技术有限公司 视频展示方法、装置、电子设备、存储介质及程序产品
CN114143612B (zh) * 2021-12-06 2024-03-15 北京达佳互联信息技术有限公司 视频展示方法、装置、电子设备、存储介质及程序产品

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