EP3682318A1 - Procédé et serveur pour déterminer une liste de classement de popularité - Google Patents

Procédé et serveur pour déterminer une liste de classement de popularité

Info

Publication number
EP3682318A1
EP3682318A1 EP18769997.0A EP18769997A EP3682318A1 EP 3682318 A1 EP3682318 A1 EP 3682318A1 EP 18769997 A EP18769997 A EP 18769997A EP 3682318 A1 EP3682318 A1 EP 3682318A1
Authority
EP
European Patent Office
Prior art keywords
media item
user
list
media
popularity
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
EP18769997.0A
Other languages
German (de)
English (en)
Inventor
Minesh Patel
Jean-Claude CHARNIER
Michael BYLÉHN
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Amplified Global Ltd
Original Assignee
Amplified Global Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Amplified Global Ltd filed Critical Amplified Global Ltd
Publication of EP3682318A1 publication Critical patent/EP3682318A1/fr
Pending legal-status Critical Current

Links

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]
    • H04N21/40—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
    • H04N21/475—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
    • H04N21/4756—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for rating content, e.g. scoring a recommended movie
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/40—Information retrieval; Database structures therefor; File system structures therefor of multimedia data, e.g. slideshows comprising image and additional audio data
    • G06F16/43—Querying
    • G06F16/438—Presentation of query results
    • G06F16/4387—Presentation of query results by the use of playlists
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/60—Information retrieval; Database structures therefor; File system structures therefor of audio data
    • G06F16/63—Querying
    • G06F16/638—Presentation of query results
    • G06F16/639—Presentation of query results using playlists
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • 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
    • H04N21/475—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data
    • H04N21/4758—End-user interface for inputting end-user data, e.g. personal identification number [PIN], preference data for providing answers, e.g. voting
    • 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
    • H04N21/4825—End-user interface for program selection using a list of items to be played back in a given order, e.g. playlists
    • 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
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
    • G06F3/048—Interaction techniques based on graphical user interfaces [GUI]
    • G06F3/0481—Interaction techniques based on graphical user interfaces [GUI] based on specific properties of the displayed interaction object or a metaphor-based environment, e.g. interaction with desktop elements like windows or icons, or assisted by a cursor's changing behaviour or appearance
    • G06F3/0482—Interaction with lists of selectable items, e.g. menus

Definitions

  • the invention relates to a method carried out by a server for determining a popularity-ranking or indexing list of media items. Further, the invention relates to a server for determining a popularity-ranking or indexing list of media items. Yet further, the invention relates to a non- transitory computer-readable storage medium. Further, the invention relates to a method carried out by a user device for determining a popularity-ranking or indexing list of media items. Yet further, the invention relates to a media application for a user device.
  • US 2016/162125 Al teaches an approach for organizing media items in a playlist for playback on the first device based on selection of media items in the second device.
  • the approach involves generating a playlist of one or more media items for playback on a first device.
  • the approach also involves initiating a preview of the one or more media items, one or more other media items, or a combination thereof on one or more second devices, wherein the one or more second devices control a streaming of the playlist to the first device.
  • the approach further involves receiving a voting input for identifying a selected media item from among the one or more media items, the one or more other media items, or a combination thereof based on the preview.
  • the approach also involves modifying the playlist for playback on the first device based on the selected media item.
  • WO 2008/097917 discloses a method for collaboratively ranking digital content by utilising users of a website who wish to participate in ranking the content.
  • a plurality of ranking votes are received for each digital content item, whereby the received user ranking votes are tallied for each digital content item in the set.
  • This is followed by calculation of a ranking score by applying an algorithm, which includes the number of user ranking votes to each digital content item.
  • the ranking is updated for each digital content item in the set.
  • the invention relates to a method carried out by a server for determining a popularity-ranking list or indexing of media items.
  • the method comprises the following steps: Generating a user vote list comprising a plurality of media item slots, wherein each of the media item slots is configured to accept one media item at a time, wherein each of the media item slots can be updated during a period of time; providing the user vote list to each of the user devices, wherein the media item slots of each of the user vote lists is configured to be updated on each of the user devices separately; generating at least one playlist comprising at least one media item for playback on user devices; providing said at least one playlist to a plurality of user devices; monitoring duration of presence of each of the media items at each of the media item slots in each of the user vote lists during a period of time; determining, based on duration of presence of each of the media items at each of the media item slots in each of the user vote lists, a popularity-ranking list of the media items; providing the popularity-ranking list of the media items
  • the position of a media item in the popularity-ranking list is based on duration of presence of media items in the user vote lists, i.e. how long each of the media items is present in each user vote list.
  • the popularity-ranking list can be extracted and sent to the user devices at any time. Further, updated versions of the popularity-ranking list can be provided to the user devices at any time.
  • the step of monitoring further comprises monitoring behavioural data of users relating to the frequency of interactions and/or the total time of interaction the user has with the server.
  • behavioural data of users relating to the frequency of interactions and/or the total time of interaction the user has with the server.
  • the invention thus provides a tool for service providers to gain a deeper understanding or in what way and for what reason, i.e. how and why, users of various categories having particular attributes, choose to interact with a certain technology or with content provided by means of the technology.
  • the extension of that deeper understanding of users of a service through their behaviour could be useful in the generation of leads, i.e. in filtering out particular users in a large group of users, the particular users displaying a user pattern that is indicative of certain interest in a particular type of information, physical product, event, treat or experience.
  • the present invention also provides a new and different way of increasing the accuracy and efficiency in which marketing efforts or provision of services can be deployed within a group of potential users or customers that value and appreciate them.
  • determining the popularity of a media item and individually ranking the media item in a list to be further distributed is one of the measurable quantities or data according to the invention.
  • popularity of a media item can be determined, also personal preference, type of emotional response, response time and/or the time to comprehend a certain message can be determined.
  • a cognitive comprehension i.e. determination of when a user reaction occurs, as opposed to the quality or kind of response, i.e. the nature of the user response, give rise to different data.
  • feedback it is possible to determine both the point in time of receipt of a certain piece of information, as well as another point in time when this piece of information has been understood, accepted and possibly even reacted to.
  • the user engagement could for example be playback or watching of a video clip or movie sequence, displaying of a picture or of an article, listening to a song or other audio clip, smelling a fragrance or sensing tactile indications, which in turn prompt movements of a user.
  • the latter could be due to sensory feedback, but also reactions prompted by augmented reality, virtual reality or so-called mixed reality.
  • the interpretation of media item is thus intended to be in the broadest possible meaning of media.
  • the step of monitoring further comprises monitoring timing of presence for each of the media items at each of the media item slots in each of the user vote lists and wherein the step of determining the popularity-ranking list of the media items further is based on said timing.
  • An advantage of monitoring timing of presence is that the popularity- ranking list can be based on presence during a particular time period.
  • a further advantage of monitoring timing of presence is that presence during different time periods can be given different importance when determining the popularity-ranking list.
  • each media item slot in the user vote list has an internal ranking and wherein the step of determining the popularity-ranking list of the media items also takes into account the internal ranking of the media item in each of the user vote lists.
  • the internal ranking of each media item slot corresponds to a ranking weight factor, which is used in the step of determining the popularity-ranking list of the media items.
  • the duration of presence of a particular media item in a user vote list corresponds to a duration weight factor, which is used in the step of determining the popularity-ranking list of the media items.
  • the timing of presence of a particular media item in a user vote list corresponds to a timing weight factor, which is used in the step of determining the popularity-ranking list of the media items.
  • the step of determining the popularity-ranking list of the media items comprises using a combination of the ranking weight factor, the duration weight factor and the timing weight factor.
  • the step of generating at least one playlist further comprises: setting, for each of the at least one playlist, a timing indicator for unlocking the playlist; and wherein the step of providing said at least one playlist to a plurality of user devices further comprises information on when the timing indicator is set for unlocking the playlist.
  • the disclosure relates to a server for determining a popularity-ranking list of media items. Yet further, the disclosure relates to a non-transitory computer-readable storage medium.
  • the invention relates to a method carried out by a user device for determining a popularity-ranking list of media items.
  • the method comprises the following steps: receiving, from the server, a user vote list comprising a plurality of media item slots, wherein each of the media item slots is configured to accept one media item at a time, wherein each of the media item slots can be updated during a period of time; receiving, from a server, at least one playlist comprising at least one media item for playback; maintaining the user vote list by updating which media item that is present in the media item slots at any time during the period of time; receiving a popularity-ranking list of the media items from the server.
  • gamification engages audiences and the ranking of a list of media items is either carried out by means of sequential determination, weighted determination, frequency-based determination or the duration of which a certain media item has caught the attention of or been applied by a participating user.
  • the gamification can further be described with reference to design examples in which certain inaccessible content can be unlocked over time, whereby multiple engagements of users is driven by encouragement, prompted by the technology according to the present invention.
  • the method and server according to the present invention forms a platform for curation of content using deep learning (machine learning) algorithms and artificial intelligence (Al) that may be based on user behaviour, interactive patterns and user interest in certain types of content and/or media items.
  • machine learning machine learning
  • Al artificial intelligence
  • a user profile can be built through content interaction in the vote list.
  • the quality of content fed to the server can be further enhanced by using Al to recommend relevant content to the particular user profile.
  • Al Since Al is applied, there is a constant learning process and an adaptation to user behaviour, as well as a constant learning process and an adaptation also to the behaviour of the audience, i.e. to users to whom the ranging list or indexing information is provided. Previous behaviour or previous popularity is taken into consideration and is undergo analysis prior to filter out as much noise as possible based on the proven records.
  • Block chain technology is conceivable for use in connection with the present invention, either as a means for managing compensations of different kinds that are provided to users, or as a platform for the infrastructure, which is applied for the practical realisation and configuration of the technology.
  • the invention relates to a media application for a user device.
  • FIG. 1 shows a system diagram for enabling access to media according to an embodiment of the invention.
  • FIG. 2 shows a diagram of components of the server according to an embodiment of the invention.
  • FIG. 3 shows a flowchart of a method carried out by a server for determining a popularity- ranking list of media items.
  • FIG. 4 shows a flowchart of a method carried out by a user device for determining a popularity-ranking list of media items.
  • FIG. 5 shows a system flowchart of the method carried out both at the server side and at the user device side.
  • FIG. 1 shows a system diagram for enabling access to media according to an embodiment of the invention.
  • Each of a plurality of user devices 200A, 200B is configured to run a media application 250A, 250B, which accesses media items provided by a server 100.
  • the server is a service provider configured to provide media items to user devices.
  • the functionality of the server 100 may comprise a plurality of servers.
  • the server 100 is connected to a database 120.
  • the media items are stored in the database 120.
  • the database 120 is stored at the server 100.
  • the database is a relational SQL database.
  • the data is stored as files in a file system or other non-relational database management system.
  • the media application 250A, 250B is a mobile app.
  • the media application 250A, 250B runs within a web browser.
  • the media application 250A, 250B is configured to communicate with the server 100 over a network 150.
  • the network 150 may include the Internet, other wide areas networks, one or more local networks, metropolitan networks, or combinations of these.
  • the server 100 is connected with the media application 250A, 250B to provide a user of a user device 200A, 200B with media items, such as audio tracks or videos.
  • the media application 250A, 250B is capable of receiving and displaying/playing back audio, video and the like.
  • the user device 200A, 200B is any device or system that is capable of storing and presenting media items to a user.
  • the user device 200A, 200B can be a laptop computer, a desktop computer, tablet computer, mobile phone, etc.
  • FIG. 2 shows a diagram of components of the server according to an embodiment of the invention.
  • the server 100 comprises a media item module 102, a playlist module 104, a vote list module 106, an interface module 108, a monitoring module 110 and a ranking module 112.
  • the media item module 102 is configured to keep track of media items.
  • the media items are audio files.
  • the media item module 102 is connected to the playlist module 104.
  • the playlist module 104 is configured to generate and keep track of playlists and media items comprised therein. New playlists may be generated at any time.
  • the vote list module 106 is configured to generate and keep track of vote lists.
  • Each vote list comprises a certain number of media item slots.
  • the vote list comprises at least three media item slots.
  • the vote list comprises at least six media item slots.
  • the vote list comprises at least ten media item slots.
  • Each of the media item slots is configured to accept one media item at a time. The media item slots can be updated continuously.
  • the playlist module 104 is connected to the interface module 108.
  • the interface module 108 is configured to provide the vote list and the playlists, including media items, to each of the user devices 200A, 200B.
  • the interface module 108 may provide a playlist to all the user devices 200A, 200B.
  • the interface module 108 may provide a playlist to a subset of the user devices 200A, 200B.
  • Each user device 200A, 200B is in control if the content of its vote list.
  • the vote list is a private space in which each user device 200A, 200B can control which media item is present at each of the media item slots of the vote list.
  • Each user device 200A, 200B is configured to maintain its user vote list by updating which media item that is present in the media item slots at any time during the period of time.
  • the monitoring module 110 is configured to monitor how each of the user devices 200A, 200B is updating its vote list, through its media application 250A, 250B. In other words, the monitoring module 110 is configured to continuously monitor duration of presence of each of the media items at each of the media item slots in each of the user vote lists.
  • the monitoring module 110 is connected to the ranking module 112.
  • the ranking module 112 is configured to determine a popularity-ranking list of the media items based on duration of presence of each of the media items at each of the media item slots in each of the user vote lists.
  • the ranking module 112 is connected to the interface module 108.
  • the interface module 108 is configured to receive the popularity-ranking list from the ranking module 112.
  • the interface module 108 is configured to provide the popularity-ranking list of the media items to each of the user devices 200A, 200B.
  • the popularity-ranking list comprises the media items most frequently present in the vote lists based on the duration of presence of the media items in the vote lists.
  • the popularity-ranking list comprises a subset of all the media items.
  • the popularity-ranking list may comprise any number of media items, such as the three, five, ten, fifteen or twenty most frequently present media items present in the vote lists.
  • the ranking module 112 may be configured to determine an internal ranking of each media item slot. Further, the ranking module 112 may be configured to determine the popularity- ranking list based on a ranking weight factor related to the internal ranking of each particular media item in a user vote list. Higher ranking weight factor is obtained for the media item slot corresponding to more preferred media item, i.e. the better ranked media item. The highest ranking weight factor is obtained for the media item slot at the first position, i.e. the media item slot corresponding to the most preferred media item, i.e. the best ranked media item.
  • the duration of presence of a media item at a media item slot is defined as the time between that the user device 200A, 200B is adding the media item to a media item slot and that the user device 200A, 200B is removing the media item from the media item slot.
  • the ranking module 112 may be configured to determine the popularity-ranking list based on a duration weight factor related to duration of presence of each particular media item in a user vote list. Thus, the longer the duration of presence of a particular media item, the higher the duration weight factor will be.
  • Timing of presence of a media item at a media item slot is defined as the timing at which the user device 200A, 200B is adding the media item to a media item slot or the timing at which the user device 200A, 200B is removing the media item from the media item slot.
  • the ranking module 112 may be configured to determine the popularity-ranking list based on a timing weight factor related to the timing of presence of each particular media item in a user vote list. In one example, the later the timing of presence of a particular media item, the higher the timing weight factor will be.
  • the ranking module 112 may combine any of the ranking weight factor, the duration weight factor and the timing weight factor to determine the popularity-ranking list of the media items.
  • the vote list module 106 generates a vote list with two media item slots MIS1 and MIS2.
  • MIS1 has an internal ranking corresponding to 4 points
  • MIS2 has an internal ranking corresponding to 2 points.
  • the interface module 108 provides vote list VL1 to user device 200A and vote list VL2 to user device 200B, through their respective media application 250A, 250B.
  • the media item module 102 comprises three media items, Mil, MI2 and MI3.
  • the playlist module 104 generates one playlist PL1 comprising the media items Mil - MI3.
  • the interface module 108 provides the playlist PL1 to each of the user devices 200A, 200B.
  • the user device 200A adds to vote list VL1: media item Mil to media item slot MIS1 and media item MI2 to media item slot MIS2.
  • the user device 200B adds to vote list VL2: media item Mil to media item slot MIS1 and media item MI3 to media item slot MIS2.
  • the user device 200A performs the following change to vote list VL1: Media item slots MIS1 replaces media item Mil by media item MI3.
  • Media item Mil is the most popular media item with 6 points
  • media item MI3 is the second most popular media item with 4 points
  • media item MI2 is the third most popular media item with 2 points.
  • timing weight factor For a media item present from timing 1 to timing 2 as three times more important than from timing 0 to timing 1, since the final vote list should be given more importance. This would result in a total weight factor, duration weight factor * timing weight factor, for a media item present from timing 0 to timing 1 of 0,25; and for a media item present from timing 1 to timing 2 of 0,75. Consequently the popularity-ranking list would change as follows:
  • timing 2* Media items Mil and MI3 are the most popular media item with 5 points; and media item MI2 is the third most popular media item with 2 points.
  • playlists can be locked during a period of time.
  • the playlist module 104 may be configured to set a timing indicator for unlocking each of the playlists.
  • FIG. 3 shows a flowchart of a method carried out by the server 100 for determining a popularity-ranking list of media items. The method comprises the following steps:
  • generating 310 a user vote list comprising a plurality of media item slots, wherein each of the media item slots is configured to accept one media item at a time, wherein each of the media item slots can be updated during a period of time;
  • determining 360 based on duration of presence of each of the media items at each of the media item slots in each of the user vote lists, a popularity-ranking list of the media items; providing 370 the popularity-ranking list of the media items to each of the user devices.
  • FIG. 4 shows a flowchart of a method carried out by the user device 200A, 200B for
  • the method comprises the following steps:
  • a user vote list comprising a plurality of media item slots, wherein each of the media item slots is configured to accept one media item at a time, wherein each of the media item slots can be updated during a period of time;
  • FIG. 5 shows a system flowchart of the method carried out both at the server side and at the user device side.
  • FIG. 5 comprises both the method steps of FIG. 3 and FIG. 4, illustrated such that it is easier to follow the time line and dependencies of the different steps on the server side versus user device side.

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Abstract

L'invention concerne un procédé mis en œuvre par un serveur (100) pour déterminer une liste de classement de popularité d'éléments multimédia. Le procédé comprend les étapes suivantes consistant à : générer (310) une liste de votes d'utilisateurs comprenant une pluralité de créneaux d'éléments multimédia ; fournir (320) la liste de votes d'utilisateurs à chacun des dispositifs utilisateur ; générer (330) au moins une liste de lecture comprenant au moins un élément multimédia ; fournir (340) ladite ou lesdites listes de lecture à une pluralité de dispositifs utilisateur ; surveiller (350) la durée de présence de chacun des éléments multimédia au niveau de chacun des créneaux d'éléments multimédia dans chacune des listes de votes d'utilisateurs pendant une période de temps ; déterminer (360), sur la base de la durée de présence de chacun des éléments multimédia au niveau de chacun des créneaux d'éléments multimédia dans chacune des listes de votes d'utilisateurs, une liste de classement de popularité des éléments multimédia ; à fournir (370) la liste de classement de popularité des éléments multimédias à chacun des dispositifs utilisateurs. En outre, l'invention concerne un serveur pour déterminer une liste de classement de popularité d'éléments multimédia ; un support de stockage lisible par ordinateur non transitoire ; un procédé mis en œuvre par un dispositif utilisateur (200A, 200B) pour déterminer une liste de classement de popularité d'un élément multimédia ; et une application multimédia (250A, 250B) pour un dispositif d'utilisateur.
EP18769997.0A 2017-09-13 2018-09-13 Procédé et serveur pour déterminer une liste de classement de popularité Pending EP3682318A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
SE1751109A SE1751109A1 (en) 2017-09-13 2017-09-13 Method and server for determining a popularity ranking list
PCT/EP2018/074794 WO2019053152A1 (fr) 2017-09-13 2018-09-13 Procédé et serveur pour déterminer une liste de classement de popularité

Publications (1)

Publication Number Publication Date
EP3682318A1 true EP3682318A1 (fr) 2020-07-22

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EP18769997.0A Pending EP3682318A1 (fr) 2017-09-13 2018-09-13 Procédé et serveur pour déterminer une liste de classement de popularité

Country Status (3)

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EP (1) EP3682318A1 (fr)
SE (1) SE1751109A1 (fr)
WO (1) WO2019053152A1 (fr)

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