System and methods for prioritizing mobile media player files

• US 7,743,009 B2
• Filed: 02/12/2007
• Issued: 06/22/2010
• Est. Priority Date: 02/10/2006
• Status: Active Grant

• Current Assignee: Apple Inc.
• Original Assignee: Strands Incorporated (CRIBIS Holding SRL)
• Inventors: Hangartner, Rick, Rowley, Craig, Shur, Jim, Caudevilla-Laliena, Guillermo, Yip, Andrew, Martin, Francisco, Del Ser Bartolome, David, McLaughlin, Matt
• Primary Examiner(s): Sparks; Donald
• Assistant Examiner(s): Brown, Jr.; Nathan H
• Application Number:
  US11/674,028
• Publication Number:
  US 20090132453A1
• Time in Patent Office: 1,226 Days
• Field of Search: 706/46
• US Class Current: 706/46
• CPC Class Codes: G06F 16/4387 by the use of playlists
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G11B 27/034 on discs G11B27/036, G11B27/038 take precedence
• CPC Class Codes: G11B 27/036 Insert-editing
• CPC Class Codes: H04L 65/612 for unicast
• CPC Class Codes: H04L 67/1095 Replication or mirroring of data, e.g. scheduling or transport for data synchronisation between network nodes
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04N 21/25891 being end-user preferences retrieval of video data in a video database based on user preferences G06F16/739; arrangements for recognizing users' preferences H04H60/46; user profiles in network data switching protocols H04L67/306; processing of user preferences or user profiles in wireless networks H04W8/18
• CPC Class Codes: H04N 21/26258 for generating a list of items to be played back in a given order, e.g. playlist, or scheduling item distribution according to such list retrieval of multimedia data based on playlists G06F16/40
• CPC Class Codes: H04N 21/4335 Housekeeping operations, e.g. prioritizing content for deletion because of storage space restrictions storage management, e.g. defragmentation G06F3/0604; unloading stored programs G06F9/445; storage management in file systems G06F16/10; buffering arrangements in a network node or in an end terminal in packet networks H04L49/90
• CPC Class Codes: H04N 21/44204 Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched monitoring of user activities for profile generation for accessing a video database G06F16/739; protecting generic digital content where the protection is independent of the precise nature of the content G06F21/10; arrangements for monitoring the use made of the broadcast services in broadcast systems H04H60/31
• CPC Class Codes: H04N 21/6543 for forcing some client operations, e.g. recording remote booting in general G06F9/4416
• CPC Class Codes: H04N 21/6582 Data stored in the client, e.g. viewing habits, hardware capabilities, credit card number arrangements where receivers interact with the broadcast H04H20/38
• CPC Class Codes: H04N 7/17318 Direct or substantially direct transmission and handling of requests

Abstract

Disclosed are embodiments of systems and methods for prioritizing mobile media player files by providing for the automated addition and/or deletion of media items for a mobile media player. In some embodiments, a statistical method may be provided for inferring which media items on a mobile media player should be deleted based on, for example, user taste data. In some embodiments, new media items may be loaded onto a user'"'"'s mobile media player by creating one or more playlists from a playlist builder. The playlist(s) may be created by using user taste data. Rankings may also be created to determine an order for deletion of the media items currently on a mobile media player and/or for addition of new media items to the device.

Claims

1. A computer-implemented method for the automated selection and loading of media items from a computer into a mobile media player device, the method comprising:

receiving a media item current playlist from a mobile media player;

receiving current user taste data associated with a user of the mobile media player;

generating a recommended playlist from the user taste data;

ranking the media items in the recommended playlist responsive to the user taste data;

determining an amount of memory storage space available on the mobile media player for storing new items;

removing as many media items from the mobile media player, as necessary to free memory space sufficient to accommodate at least the highest ranked one of the ranked media items, wherein the media items are removed from the mobile media player according to the current user taste data;

downloading at least one media item on the recommended playlist into memory on the mobile media player, beginning with a highest ranked one of the media items; and

repeating said downloading step, in descending rank order of the media items, until the amount of memory storage space available on the mobile media player for storing new items is insufficient to add the next item.

2. The method of claim 1, wherein the current user taste data comprises at least one of a metric indicative of the total number of plays for one or more media items in the current media item playlist, a metric indicative of a recent rate of plays for one or more media items in the current media item playlist, and a metric indicative of a recent rate of skips for one or more media items in the current media item playlist.

3. The method of claim 1, and further comprising:

automatically selecting at least one media item of the current playlist of media items for deletion, without user intervention, to increase the memory space available on the mobile media player for storing new items;

automatically deleting the media items selected for deletion from the mobile media player; and

updating the determination of the amount of memory storage space available on the mobile media player.

4. The method of claim 3, and wherein:

selecting of media items for deletion includes ranking the current playlist items responsive to the current user taste data; and

deleting the media items selected for deletion includes deleting at least one media item from the mobile media player, beginning with a lowest ranked one of the media items; and

repeating said deleting step, in ascending rank order of the media items.

5. The method of claim 4, and wherein said deleting step includes skipping a media item marked for retention by the user so that the marked media item remains stored on the mobile media player.

6. The method of claim 4, wherein said ranking of the current playlist media items is determined responsive to current user play data recorded on the mobile media player device, comprising at least one of a metric indicative of the total number of plays for one or more media items in the current media item playlist, a metric indicative of a recent rate of plays for one or more media items in the current media item playlist, and a metric indicative of a recent rate of skips for one or more media items in the current media item playlist.

7. The method of claim 5, and further comprising:

selecting a subset of the recommended playlist of media items, based on the highest rankings;

determining an amount of memory storage space necessary for storing the subset of media items on the mobile media player;

comparing the amount of memory storage space available on the mobile media player for storing new items; and

if the amount of memory storage space necessary exceeds the memory storage space available, deleting media items from the mobile media player to make space for new items.

8. A method for the automated modification of a mobile media player playlist, the method comprising:

receiving a current media item playlist from a mobile media player;

receiving user taste data associated with a user of the mobile media player;

generating a recommended playlist for the user;

comparing the recommended playlist with the current media item playlist to remove duplicates;

ranking one or more media items in the recommended playlist in an order in which the media items are to be transferred to the mobile media player;

ranking one or more media items in the current media item playlist in an order in which the media items are to be removed from the mobile media player;

removing media items from the mobile media player to make space for loading new media items, wherein media items are removed from the mobile media player according to their rankings without explicit user input or selection; and

transferring media items to the mobile media player, wherein media items are transferred to the mobile media player according to their rankings.

9. The method of claim 8, wherein said ranking media items in the current media item playlist in an order in which the media items are to be removed from the mobile media player includes ranking the media items stored on the mobile media player according to a probability of deletion from the mobile media player, responsive to implicit current user interest in retaining them, without explicit user input or user selections.

10. The method of claim 9 wherein the implicit user interest for each media item currently stored on the mobile media player is quantified using a linear regression model responsive to a vector of selected covariates, wherein the covariates comprise measurable properties or metrics of the media items reflecting user taste that increase or decrease a probability of deleting the media item.

11. The method of claim 10 wherein the covariates are selected from a first class of metrics comprising 1) a total number of plays p(t) at any point in time, 2) a recent rate of plays r(t)=[p(t)−

p(t−

Δ

t)]/Δ

t, and

     3) a recent rate of skips s(t)=[q(t)−

q(t−

Δ

t)]/Δ

t, where q(t) is the number of times the listener has prematurely terminated playback of the item.

12. The method of claim 11 wherein the number of plays p(t) is normalized relative to a total number of plays P, (i.e., p(t)/P).

13. The method of claim 11 wherein the covariates are selected from a second class of metrics responsive to metadata similarity between one of the media items and a set of candidate new items j₁, j₂, . . . , j_m.

14. A computer-implemented method for the automated selection and deletion of digital media items stored in memory on a mobile media player without explicit user input, the method comprising:

establishing a temporary communication link, wired or wireless, between the mobile media player and a computer;

uploading to the computer a current playlist of media items m₁, m₂, . . . m_N stored on the mobile media player;

uploading to the computer current play data associated with stored media items m₁, m₂, . . . m_N;

ranking the media items for retention or deletion from the media player responsive to the current play data;

wherein said ranking includes quantifying implicit user interest for each media item currently stored on the media player by applying a linear regression model responsive to a vector of selected covariates, wherein the covariates comprise measurable properties or metrics of the media items reflecting user taste that increase or decrease a probability of deleting the media item; and

sequentially deleting media items from the player in order of the said ranking.

15. The method of claim 14 wherein the predictive covariates include at least one of a metric indicative of the total number of plays for one or more media items in the current media item playlist, a metric indicative of a recent rate of plays for one or more media items in the current media item playlist, and a metric indicative of a recent rate of skips for one or more media items in the current media item playlist.