WO2023235113A1 - Systèmes et procédés de recommandation de contenu corrélé ou anticorrélé - Google Patents

Systèmes et procédés de recommandation de contenu corrélé ou anticorrélé Download PDF

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Publication number
WO2023235113A1
WO2023235113A1 PCT/US2023/021363 US2023021363W WO2023235113A1 WO 2023235113 A1 WO2023235113 A1 WO 2023235113A1 US 2023021363 W US2023021363 W US 2023021363W WO 2023235113 A1 WO2023235113 A1 WO 2023235113A1
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Prior art keywords
content
threshold
recommendation
current
playback time
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PCT/US2023/021363
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English (en)
Inventor
Louis POUPARD III
Original Assignee
Safran Passenger Innovations, Llc
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Priority claimed from US17/867,103 external-priority patent/US11831938B1/en
Application filed by Safran Passenger Innovations, Llc filed Critical Safran Passenger Innovations, Llc
Publication of WO2023235113A1 publication Critical patent/WO2023235113A1/fr

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Classifications

    • 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
    • H04N21/251—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]
    • H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23—Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/239—Interfacing the upstream path of the transmission network, e.g. prioritizing client content requests
    • 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]
    • H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/431—Generation of visual interfaces for content selection or interaction; Content or additional data rendering
    • H04N21/4312—Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
    • H04N21/4316—Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations for displaying supplemental content in a region of the screen, e.g. an advertisement in a separate window
    • 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
    • H04N21/4508—Management of client data or end-user data
    • H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, 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]
    • H04N21/40—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 field of the invention is recommendation systems and methods.
  • Online stores and user-generated media platforms utilize recommendation systems to facilitate browsing of a high number of items.
  • Such systems generally rely on centrally stored data about a user’s preferences and either intrinsic properties of the items (z.e., content-based recommenders) or other users’ preferences (z.e., collaborative filtering recommenders).
  • the inventive subject matter provides apparatus, systems, and methods for providing a recommendation system for a vehicular content distribution network, and specifically systems and methods for recommending correlated and anti correlated content to a user based upon elapsed duration of a content being watched.
  • a recommendation system for a vehicular content distribution network Preferably, such systems and methods are utilized in conjunction with an in-vehicle network such as an in-flight entertainment system used in aircraft and other vehicles.
  • an in-vehicle network such as an in-flight entertainment system used in aircraft and other vehicles.
  • the systems and methods described herein could be utilized on other networks that are unrelated to a vehicle.
  • any services or systems that offers a set of content with recommendations could include, for example, content streaming services such as NETFLIXTM, DISNEY+TM, HULUTM and so forth, on- demand content viewable at hotels and other lodgings, and so forth.
  • content streaming services such as NETFLIXTM, DISNEY+TM, HULUTM and so forth, on- demand content viewable at hotels and other lodgings, and so forth.
  • a server having a processor and non-transitory memory, wherein the server is communicatively coupled to a network configured to distribute content to a plurality of users.
  • the server can be communicatively coupled to an in-vehicle network for distributing content to a plurality of users within the vehicle.
  • the server could be connected with a plurality of in-flight entertainment devices, such as those typically disposed within a seat back of a vehicle but may also be connected with one or more devices of the users. Exemplary in-flight entertainment systems and devices are described in U.S. patent number 9015776 titled “Entertainment Systems Utilizing Field Replaceable Storage Units” and U.S.
  • Exemplary user devices could include, for example, smart phones, tablet PCs, laptop computers, glasses with a built-in display or projector system, and other portable computing devices capable of receiving and displaying or projecting content, televisions or other displays, and other devices that can used to view or otherwise access content.
  • Contemplated recommendation systems and methods can generate a set of recommended content to a user which may be based on a piece of content currently being played by a user (e.g. genre, ratings, content tags or other metadata, or other information associated with the piece of content) and/or based on one or more characteristics of the user (e.g., prior content played by the user or other usage statistics, a user profde, identifying information about the user, etc.).
  • a piece of content currently being played by a user e.g. genre, ratings, content tags or other metadata, or other information associated with the piece of content
  • characteristics of the user e.g., prior content played by the user or other usage statistics, a user profde, identifying information about the user, etc.
  • such systems can be configured to generate a set of anticorrelated content which may be based on a piece of content currently being played by the user (e.g, genre, ratings, content tags or other metadata, or other information associated with the piece of content) and/or based on one or more characteristics of the user (e.g, prior content played by the user or other usage statistics, a user profile, identifying information about the user, etc.).
  • the type of recommendation i.e., correlated or anticorrelated
  • to be presented to the user preferably depends on an elapsed duration of the piece of content being played.
  • anticorrelated content may be displayed to the user during a first portion (first elapsed time period) while correlated content may be displayed to the user during a second portion (second elapsed time period) that is later than the first portion i.e., some time after the first elapsed time period). Tn this manner, the systems and methods described herein allow for anti correlated content to be recommended to a user in addition or alternatively to correlated content based upon an elapsed time or percentage of a playback of the piece of content.
  • Fig. l is a diagram of one embodiment of a recommendation system.
  • FIG. 2 is a flowchart of one embodiment of a method for providing a recommendation to a user.
  • Fig. 3 illustrates an exemplary user interface showing correlated content being displayed at an end portion of a current media playback.
  • Fig. 4 illustrates an exemplary user interface showing anti correlated content being displayed at a beginning portion of a current media playback.
  • Fig. 5 illustrates an exemplary user interface showing correlated content being displayed at an end portion of a current media playback.
  • Fig. 6 illustrates one example for categorizing content.
  • a server can include one or more computers operating as a web server, database server, or other type of computer server in a manner to fulfill described roles, responsibilities, or functions.
  • a component may be a procedure executed in a processor, a processor, an object, an execution thread, a program, and/or a computer, but is not limited thereto.
  • an application executed in a computing device and a computing device may be components.
  • One or more components may reside within a processor and/or an execution thread.
  • One component may be localized within one computer.
  • One component may be distributed between two or more computers. Further, the components may be executed by various computer readable media having various data structures stored therein.
  • components may communicate through local and/or remote processing according to a signal (for example, data transmitted to another system through a network, such as the Internet, through data and/or a signal from one component interacting with another component in a local system and a distributed system) having one or more data packets.
  • a signal for example, data transmitted to another system through a network, such as the Internet, through data and/or a signal from one component interacting with another component in a local system and a distributed system
  • a signal for example, data transmitted to another system through a network, such as the Internet, through data and/or a signal from one component interacting with another component in a local system and a distributed system
  • a signal for example, data transmitted to another system through a network, such as the Internet, through data and/or a signal from one component interacting with another component in a local system and a distributed system
  • Illustrative logical blocks, configurations, modules, circuits, means, logic, and algorithm operations described herein may be implemented by electronic hardware, computer software,
  • inventive subject matter provides many example embodiments of the inventive subject matter. Although each embodiment represents a single combination of inventive elements, the inventive subject matter is considered to include all possible combinations of the disclosed elements. Thus, if one embodiment comprises elements A, B, and C, and a second embodiment comprises elements B and D, then the inventive subject matter is also considered to include other remaining combinations of A, B, C, or D, even if not explicitly disclosed.
  • the inventive subject matter describes systems and methods for providing content recommendations to one or more users, where the content recommendations vary depending upon an elapsed time of the current media playback.
  • system 100 is configured to provide content recommendations to one or more devices 110A-110N.
  • the devices 110A- 110N are connected to a network 130, which may be an in-vehicle network but could also be a home or other network. Still in other embodiments, the devices may be connected to a local or remote content server or another server via a wired or wireless network.
  • System 100 comprises a recommendation server 120 having a processor 122 and a memory 124 that is communicatively coupled with the processor 122.
  • the processor 122 may be formed of one or more cores, and may include a processor, such as a central processing unit (CPU), a general purpose graphics processing unit (GPGPU), and other commercially suitable component.
  • CPU central processing unit
  • GPU general purpose graphics processing unit
  • the processor 122 may read a computer program stored in the memory 124 and process data as described herein.
  • the memory 124 may include at least one type of storage medium among a flash memory type, a hard disk type, a multimedia card micro type, a card type of memory (for example, an SD or XD memory), a Random Access Memory (RAM), a Static Random Access Memory (SRAM), a Read-Only Memory (ROM), an Electrically Erasable Programmable Read-Only Memory (EEPROM), a Programmable Read-Only Memory (PROM), a magnetic memory, a magnetic disk, and an optical disk.
  • the recommendation server 120 may also be operated in relation to web storage performing a storage function of the memory 124 on the Internet.
  • Such devices may comprise a user device (portable computing device) such as those described above or a device that is part of an in-vehicle entertainment system and disposed within a vehicle, such as a seat back display unit, for example.
  • a user device portable computing device
  • a device that is part of an in-vehicle entertainment system and disposed within a vehicle such as a seat back display unit, for example.
  • each of the devices 110A-110N is communicatively coupled with the server 120 via network 130, which may be a wired and/or wireless network.
  • network 130 may be a wired and/or wireless network.
  • Each of devices 110A- 110N preferably comprises a display screen, projector, or other component(s) to allow a user to view or otherwise consume content and recommendations by using the device.
  • the recommendation server 120 may be configured to receive demographic or other information from one or more of the devices 110A-110N.
  • the recommendation server 120 may also be communicatively coupled with a content server 126, which is configured to store a plurality of content. In other embodiments, at least some of the content may be stored on the user devices.
  • the processor 122 is preferably configured to generate and present one or more recommendations to at least one of the user devices 110A-110N based at least in part on the current content being played using the device and an elapsed time of the current content being played. Based on the elapsed time of the current content being played, the system 100 may recommend correlated content and/or anti correlated content with respect to the current content being played. For example, in preferred embodiments, the system 100 is configured to recommend anticorrelated content if the elapsed time of the current content is less than a first threshold and recommend correlated content if the elapsed time of the current content is greater than a second threshold.
  • the first and second thresholds may be the same but are preferably different.
  • the first threshold may be a specific percentage (e.g., 5%, 10%, 20%, etc.) of the total playback time of the content.
  • the first threshold may be the first 3 minutes (i.e., 5%), the first 6 minutes (i.e., 10%), the first 12 minutes (i.e., 20%), and so forth.
  • the first threshold could be a fixed number of minutes, such as the first five minutes, the first 10 minutes, the first 15 minutes, and so forth.
  • the second threshold may also be a specific percentage (e.g., 5%, 10%, 20%, etc.) of the total playback time of the content.
  • the second threshold may be the last 3 minutes (i.e., 5%), the last 6 minutes (i.e., 10%), the last 12 minutes (i.e., 20%), and so forth.
  • the second threshold could be a fixed number of minutes, such as the last five minutes, the last 10 minutes, the last 15 minutes, and so forth.
  • the first threshold equals the second threshold.
  • anticorrelated content may be recommended before the first threshold (i.e., the first half) while correlated content may be recommended after the first threshold (i.e., the second half).
  • the system 100 can then select content to be recommended to the user based at least on the current content being played by the user or the last content played by the user where the user has paused the content, for example.
  • content may be grouped into one of a set of categories.
  • content can be grouped into one of eight different types or categories (e.g., content types 1 to 8) It is contemplated that opposing slices or pieces of the “wheel” can be opposite or anti-correlated content.
  • Content 2 and Content 6 may be opposing, as are Content 3 and Content 7, Content 4 and Content 8, and Content 5 and Content 1.
  • Content 2 may represent documentaries while Content 6 may represent science fiction.
  • a value for the type of the current content could be determined, and then the total number of types divided by two (here, four) can be subtracted from the value to generate a subtotal.
  • the system 100 could then check to determine if the subtotal is less than 0 and if so, multiple the result by -1 to get a suggested content value (Z). Of course, if the subtotal is greater than 0, the suggested content value (Z) equals the subtotal. This could be expressed by the formula below:
  • the suggested content value (Z) could then be used to determine the type of content to recommend, and specific content within that type or genre could be recommended based on one or more factors such as a popularity of the content, a total playback time of the content, a determination whether the user has previously watched the content, a rating of the content, media details, content tags or other metadata, historical statistical data, and so forth.
  • the recommended content can then be presented or displayed on or using the user device.
  • the system 100 may select the recommended content (correlated or anticorrelated content) based on content tags or other metadata associated with the current content being played.
  • pieces of content may be associated with one or more content tags or other information or metadata that can be used to select the recommended content.
  • the content tags or other metadata may, for example, list correlated content and/or anti correlated content to be selected by the system 100. This is useful where the available content is known and finite, and especially useful where the number of content titles available is a manageable number (e.g., less than 250 pieces of content).
  • the system 100 may review the metadata associated with the current content and then select the recommended content based on the metadata.
  • the system 100 may display titles and other information of the content associated with the appropriate list. Tn one example, such information may be displayed in a window overlaid over the current content, so the user may see titles, pictures, and/or other information associated with the recommend content.
  • the content tags or other metadata may be pre-associated with the content, such as by the content provider or other party.
  • the content when the content is loaded on to or otherwise made available to a content server, some or all of the content can be associated with content tags or other metadata, such as described above.
  • the system 100 could itself associate content tags or other metadata with some or all of the content.
  • the system 100 could analyze each piece of content or information associated with the content, and assign or associate one or more tags or other metadata with the content.
  • Such criteria could include, for example, genre, content ratings such as those offered by the Motion Picture Association of America (MPAATM) or other organization, critic or peer ratings, total elapsed time of the content, type of content (e.g., movie, television, music, etc.), and/or usage statistics collected by the system 100.
  • the system 100 may select the recommended content (correlated or anti correlated content) based on various criteria including those described above.
  • the system 100 could utilize one or more artificial intelligence (Al) algorithms to select the recommended content based on data collected by the recommendation server 120. Usage statistics over time may be used to offer better recommendations to users based on content that was or was not viewed, and an average length a piece of content was viewed, for example. If most users who selected a piece of content did not play the content to the end or to a certain point, the system 100 may decide not to recommend that piece of content to users in the future regardless of whether the recommended content is correlated or anti correlated content.
  • Al artificial intelligence
  • FIG. 2 illustrates one embodiment of a method 200 for recommending content to one or more users.
  • an elapsed time of a current content being displayed can be determined such as by using the recommendation server described above. This can occur automatically when a user interrupts playback of the content or when the user clicks the display screen or otherwise interacts with the user device to bring up a menu, for example.
  • the elapsed time can be compared with a first threshold such as by using a processor of the user device or a processor of a recommendation server, for example. If the elapsed time is less than the first threshold, a set of anticorrelated content can be generated as the recommended content in step 215a. If the elapsed time is greater than or equal to the first threshold, the elapsed time can be compared with a second threshold in step 215b such as by using the processor of the user device or the processor of the recommendation server, for example.
  • a first threshold such as by using a processor of the user device or a processor of a recommendation server, for example.
  • a set of correlated content can be generated as the recommended content in step 225a. If the elapsed time is less than or equal to the second threshold, it is contemplated that information about the current content can be generated as the recommended content in step 225b. Alternatively, both correlated and anti correlated content could be displayed in step 225b.
  • step 215b can be skipped if the elapsed time is greater than or equal to the first threshold, and the set of correlated content can be generated as the recommended content in step 225a
  • the recommend content (e.g., the anticorrelated content, the correlated content or information about the current content) can be presented to the user on or using the user device.
  • each piece of content can be associated with a set of correlated content and/or a set of anti correlated content.
  • a server does not need to generate the set of content to be recommended on the fly but can pre-generate the sets of content and present that information as the content is transferred or streamed, for example.
  • each piece of content can be pre-associated with a set of correlated content and/or a set of anti correlated content, such as by the content provider.
  • the content can be loaded on a content server or other storage location and already be associated with the set of correlated content and/or the set of anti correlated content.
  • method 200 only requires that the elapsed time of the current content be determined, and the elapsed time compared to one or more thresholds as discussed above. Then, based on the result of the comparison, the correlated content or anticorrelated content can be presented as suggested content to the user.
  • a user is playing or has previously played a piece of content using a user interface 300.
  • the elapsed time of the content being played or recently played (such as when it is paused) is shown in the lower middle portion of the interface 300 where the elapsed time is closer to the end than the beginning of the content.
  • a set of content correlated to the current content can be recommended if the elapsed time exceeds a second threshold (e.g, toward the end of playback of the current content) and a set of content that is not correlated (anti correlated) to the current content can be recommended if the elapsed time is less than a first threshold (e.g, at the beginning of playback of the current content).
  • a second threshold e.g, toward the end of playback of the current content
  • a set of content that is not correlated (anti correlated) to the current content can be recommended if the elapsed time is less than a first threshold (e.g, at the beginning of playback of the current content).
  • the first and second thresholds could each be defined as a specific percentage of the total playback time of the current content or a specific elapsed time, for example.
  • a user is recommended similar (correlated) content (e.g., Content A, B, C) as the user nears completion of the current media playback (elapsed time exceeds the second threshold) which would appear to indicate that the user has enjoyed the current content.
  • the user is recommended non-similar or anti correlated content (e.g., Content X, Y, Z) in the beginning of playback of the current content (elapsed time less than the first threshold) as the desire to change content early on may indicate that the user prefers different content to the current content.
  • the type of content to be displayed i.e., correlated or anticorrelated
  • the type of content to be displayed can be determined in one or more different schemes:
  • anti correlated content may be presented if a playback position of a current content is less than or equal to 50% of a total playback time of the current content.
  • Correlated content may be presented if the playback position of the current content is greater than 50% of the total playback time of the current content.
  • anti correl ted content may be presented if a playback position of a current content is less than a first threshold (e.g., 20% of a total playback time of the current content), correlated content may be presented if the playback position of the current content is greater than a second threshold (e.g., 80% of a total playback time of the current content or 20% or less remaining of the current content), and no recommendation is presented if the playback position is equal to or greater than the first threshold and less than or equal to the second threshold.
  • a first threshold e.g. 20% of a total playback time of the current content
  • correlated content may be presented if the playback position of the current content is greater than a second threshold (e.g., 80% of a total playback time of the current content or 20% or less remaining of the current content)
  • no recommendation is presented if the playback position is equal to or greater than the first threshold and less than or equal to the second threshold.
  • a range or ratio of anticorrelated content to correlated content can be presented as the playback position of the current content changes over time from 0% - 100%.
  • 100% of the suggested content could be anti correlated content
  • in the middle there may be both anticorrelated content and correlated content
  • 100% of the suggested content could be correlated content.
  • Figure 4 illustrates one embodiment of a user interface 400 used to display a current content being played.
  • the elapsed time of the current content being played or recently played (such as when the current content is paused) is shown in the lower middle portion of the interface 300 where the elapsed time is closer to the beginning than the end of the current content. Because the elapsed time is less than a first threshold in this example, the recommended content being displayed in the overlay is anti correlated content (X, Y, Z).
  • X, Y, Z anti correlated content
  • titles, pictures, or other information for each piece of the anticorrelated content may be displayed in an overlay or otherwise to the user.
  • Figure 5 illustrates the user interface 400 used to display a current content being played.
  • the elapsed time of the current content being played or recently played (such as when the current content is paused) is shown in the lower middle portion of the interface 300.
  • the elapsed time is closer to the end rather than the beginning of the current content.
  • the recommended content being displayed in the overlay is correlated content (A, B, C).
  • titles, pictures, or other information for each piece of the correlated content may be displayed in the overlay or otherwise to the user.
  • Software may include one or more routines, programs, components, data structures, and the like performing a specific task or implementing a specific abstract data form.
  • routines programs, components, data structures, and the like performing a specific task or implementing a specific abstract data form.
  • a program module may be located in both a local memory storage device and a remote memory storage device.
  • the servers and computing devices described herein generally include various computer readable media.
  • the computer readable media may be any type of computer readable medium, and the computer readable medium includes volatile and non-volatile media, transitory and non- transitory media, and portable and non-portable media.
  • the computer readable medium may include a computer readable storage medium and a computer readable transmission medium.
  • the computer readable storage medium includes volatile and non-volatile media, transitory and non-transitory media, and portable and non-portable media constructed by a predetermined method or technology, which stores information, such as a computer readable command, a data structure, a program module, or other data.
  • the computer readable storage medium includes a Random Access Memory (RAM), a Read Only Memory (ROM), an Electrically Erasable and Programmable ROM (EEPROM), a flash memory, or other memory technologies, a Compact Disc (CD)-ROM, a Digital Video Disk (DVD), or other optical disk storage devices, a magnetic cassette, a magnetic tape, a magnetic disk storage device, or other magnetic storage device, or other predetermined media, which are accessible by a computer and are used for storing desired information, but is not limited thereto.
  • RAM Random Access Memory
  • ROM Read Only Memory
  • EEPROM Electrically Erasable and Programmable ROM
  • flash memory or other memory technologies
  • CD Compact Disc
  • DVD Digital Video Disk
  • magnetic cassette a magnetic tape
  • magnetic disk storage device or other magnetic storage device, or other predetermined media, which are accessible by a computer and are used for storing desired information, but is not limited thereto.
  • Coupled to is intended to include both direct coupling (in which two elements that are coupled to each other contact each other) and indirect coupling (in which at least one additional element is located between the two elements). Therefore, the terms “coupled to” and “coupled with” are used synonymously.
  • the numbers expressing quantities of ingredients, properties such as concentration, reaction conditions, and so forth, used to describe and claim certain embodiments of the invention are to be understood as being modified in some instances by the term “about.” Accordingly, in some embodiments, the numerical parameters set forth in the written description and attached claims are approximations that can vary depending upon the desired properties sought to be obtained by a particular embodiment. In some embodiments, the numerical parameters should be construed in light of the number of reported significant digits and by applying ordinary rounding techniques. Notwithstanding that the numerical ranges and parameters setting forth the broad scope of some embodiments of the invention are approximations, the numerical values set forth in the specific examples are reported as precisely as practicable. The numerical values presented in some embodiments of the invention may contain certain errors necessarily resulting from the standard deviation found in their respective testing measurements.

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Abstract

Sont décrits des systèmes et des procédés permettant de fournir des recommandations de contenu à un utilisateur d'après un temps écoulé de lecture du contenu actuel sur un dispositif d'utilisateur. Un serveur de recommandations ayant une mémoire et un processeur peut servir à comparer un temps écoulé de lecture du contenu actuel et comparer le temps écoulé de lecture à une ou plusieurs valeurs seuils. Si le temps écoulé de lecture est inférieur à un premier seuil, un contenu anticorrélé relatif au contenu actuel peut être recommandé et présenté sur le dispositif d'utilisateur ou à l'aide de ce dernier.
PCT/US2023/021363 2022-06-03 2023-05-08 Systèmes et procédés de recommandation de contenu corrélé ou anticorrélé WO2023235113A1 (fr)

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US202263348827P 2022-06-03 2022-06-03
US63/348,827 2022-06-03
US17/867,103 US11831938B1 (en) 2022-06-03 2022-07-18 Systems and methods for recommending correlated and anti-correlated content
US17/867,103 2022-07-18

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US9015776B2 (en) 2008-12-02 2015-04-21 Systems And Software Enterprises, Llc Entertainment systems utilizing field replaceable storage units
US10173605B2 (en) 2016-09-21 2019-01-08 Systems And Software Enterprises, Llc Display unit for a vehicle
US20200396497A1 (en) * 2018-07-20 2020-12-17 Tencent Technology (Shenzhen) Company Limited Recommended content display method and apparatus, terminal, and computer-readable storage medium
US20210258653A1 (en) * 2017-02-01 2021-08-19 Rovi Guides, Inc. Systems and methods for selecting type of secondary content to present to a specific subset of viewers of a media asset
US20220043876A1 (en) * 2019-07-31 2022-02-10 Rovi Guides, Inc. Systems and methods for recommending collaborative content

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9015776B2 (en) 2008-12-02 2015-04-21 Systems And Software Enterprises, Llc Entertainment systems utilizing field replaceable storage units
US10173605B2 (en) 2016-09-21 2019-01-08 Systems And Software Enterprises, Llc Display unit for a vehicle
US20210258653A1 (en) * 2017-02-01 2021-08-19 Rovi Guides, Inc. Systems and methods for selecting type of secondary content to present to a specific subset of viewers of a media asset
US20200396497A1 (en) * 2018-07-20 2020-12-17 Tencent Technology (Shenzhen) Company Limited Recommended content display method and apparatus, terminal, and computer-readable storage medium
US20220043876A1 (en) * 2019-07-31 2022-02-10 Rovi Guides, Inc. Systems and methods for recommending collaborative content

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