System and method for modifying media content playback based on an intelligent random selection

• US 20070025194A1
• Filed: 12/22/2005
• Published: 02/01/2007
• Est. Priority Date: 07/26/2005
• Status: Active Grant

• Current Assignee: Creative Technology Ltd.
• Original Assignee: Creative Technology Ltd.
• Inventors: Morse, Lee, Mosher, Steven
• Granted Patent: US 9,230,029 B2
• Time in Patent Office: Days
• US Class Current: 369/30.100
• CPC Class Codes: G06F 16/20 of structured data, e.g. relational data
• CPC Class Codes: G06F 16/4387 by the use of playlists
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: G11B 27/034 on discs G11B27/036, G11B27/038 take precedence
• CPC Class Codes: G11B 27/105 of operating discs
• CPC Class Codes: G11B 27/329 on a disc [VTOC]

Abstract

A playlist containing a plurality of tracks is filtered to generate a customized subset or window of tracks for playback. The method includes automatically determining user preference data for each of the plurality of tracks based on the user'"'"'s conduct when each of the plurality is accessed for playback. The tracks in the playlist are reordered after each track is accessed based on the user preference data. A subset of the playlist is selected for playback based on the reordered track arrangement.

Claims

1. A method of identifying tracks for playback from a playlist of tracks, the method comprising:

providing a plurality of tracks in the playlist;

determining user preference data for each of the plurality of tracks automatically based on the user'"'"'s conduct when each of the plurality is accessed for playback;

providing a reordered listing of tracks in the playlist after at least one track is accessed based on the user preference data;

associating with each track a track usage attribute reflecting a frequency of access to the track over a predetermined time period; and

selecting a subset of the playlist as candidates for playback based on the reordered listing of tracks and the track usage attribute. 2. The method as recited in claim 1 wherein the attribute reflects at least one of whether the track has been repeated at least a threshold number of times in the predetermined time period;

whether the track has not been accessed in the predetermined time period; and

whether the track has been skipped over in the predetermined time period.

5. The method as recited in claim 1 wherein the identifying, reordering, and selecting is performed on a portable media player.

6. The method as recited in claim 1 wherein at least two categories corresponding to separate regions in the subset listing are designated for the track usage attribute and the number of tracks meeting each of the at least two categories is determined by the user before selection of the subset.

7. The method as recited in claim 1 wherein the user history in allowing the track to play to completion is deemed approval of the track and the user history in skipping a track is deemed to be a disapproval of the track for setting the user preference data.

8. The method as recited in claim 1 wherein the metadata comprises for each of a plurality of tracks in the playlist a ratio of the number of times the track was successfully played to the number of times the track was accessed for playback.

9. The method as recited in claim 1 wherein the tracks comprise audio or video tracks.

3. The method as recited in claim 3 wherein suitable matching values for the track usage attribute are selected by the user in a playback format template selected through a user interface.

4. The method as recited in claim 3 further comprising subjecting the selected subset to random playback.

10. A portable media player configured to play a plurality of tracks in a random fashion, the player comprising:

a user interface configured to allow a user to generate a user preference for a track after the track is accessed;

a memory for storing a plurality of tracks; and

a processor configured to perform the following;

identifying a plurality of tracks in the playlist or queue;

automatically determining a user preference for each of the plurality of tracks during a playback of each of the respective tracks in the plurality;

reordering the tracks based on the user preference data; and

selecting a subset of the playlist for playback based on the reordered track arrangement.

11. A method of identifying tracks for playback from a playlist of tracks, the method comprising:

providing a plurality of tracks in the playlist;

determining a ranking for each of the plurality of tracks in the playlist based on a first attribute associated with each of the tracks in the plurality;

using a second attribute associated with at least some of the plurality of tracks to identify at least one subdivision of the plurality; and

selecting a subset of the playlist of tracks for playback by selecting a region size for the number of tracks in each of the at least one subdivisions and filling each subdivision based on the rankings provided by the first attribute.

12. The method as recited in claim 11 wherein the first attribute comprises user preference data for the tracks and the second attribute comprises a playback history identifying a playcount within a predetermined time frame for the tracks.

13. The method as recited in claim 11 wherein the first attribute comprises user preference data for the tracks and the second attribute comprises one of a genre or artist associated with the tracks.

14. The method as recited in claim 12 further comprising assigning random numbers to each of the tracks in the subset, and wherein playback occurs in accordance with the assigned random numbers.

15. The method as recited in claim 12 wherein the user preference data is derived automatically from the user conduct in playing or skipping a track.

16. The method as recited in claim 12 wherein the user preference data is derived or modified by the user providing an input on a selection device.

17. The method as recited in claim 12 wherein at least one region size is selected by the user selecting a format template defining the region sizes of each of the at least two subdivisions in the filtered window.

18. The method as recited in claim 12 wherein at least one region size is selected by the user manually inputting a value.

19. The method as recited in claim 11 wherein the rankings associated with the first metadata item are updated automatically after the user preference data is updated for at least one track.

20. The method as recited in claim 11 wherein the rankings associated with the first metadata item are updated upon the occurrence of one of the user changing the format template, the track being played back to completion, the track being skipped, the track being played back, and a track being added or deleted from the playlist.