SYSTEMS AND METHODS FOR GENERATING INDIVIDUALIZED PLAYLISTS

1 . A computer-implemented method for generating an individualized playlist, comprising:

receiving content from a video source;

associating a plurality of queue points with the content;

receiving a request for content from a client device;

receiving data associated with a user of the client device;

determining content rights associated with the client device, the content rights determined using blackout data applicable to the content;

receiving event data, wherein the event data comprises a plurality of start times for a plurality of events associated with the content, wherein the event data is generated based on at least one of sport data and social media data associated with the content; and

generating an individualized playlist based on a first set of queue points, the data associated with the user, the event data, and the content rights.

2 . The computer-implemented method of claim 1 , further comprising receiving a token from the client device.

3 . The computer-implemented method of claim 2 , wherein the token is generated based on a current location of the client device and a billing location of the client device.

4 - 5 . (canceled)

6 . The computer-implemented method of claim 1 , wherein the data associated with the user comprises at least one of content consumption history data, user demographic data, and user purchasing data.

7 . The computer-implemented method of claim 1 , wherein the blackout data comprises content viewing restrictions based on at least one of a current location of the client device and a billing location of the client device.

8 . The computer-implemented method of claim 1 , wherein the playlist comprises references to the first set of queue points to facilitate playback of the content for a time-limited duration.

9 . The computer-implemented method of claim 8 , wherein the time-limited duration does not exceed 5 seconds.

10 . The computer-implemented method of claim 9 , further comprising:

generating a second playlist based on a second set of queue points, the content rights, and the data associated with the user;

wherein the second set of queue points do not include any queue points from the first set of queue points; and

wherein the second playlist comprises references to the second set of queue points to facilitate playback of a different portion of the content for a time-limited duration.

11 . A non-transitory computer-readable medium comprising instructions, the instructions, when executed by a computing system, cause the computing system to:

receive content from a video source;

associate a plurality of queue points with the content;

receive a request for content from a client device;

receive data associated with a user of the client device;

determine content rights associated with the client device, the content rights determined using blackout data applicable to the content;

receive event data, wherein the event data comprises a plurality of start times for a plurality of events associated with the content, wherein the event data is generated based on at least one of sport data and social media data associated with the content; and

generate an individualized playlist based on a first set of queue points, the data associated with the user, the event data, and the content rights.

12 . The non-transitory computer-readable medium of claim 11 , wherein the instructions further cause the computing system to receive a token from the client device.

13 . The non-transitory computer-readable medium of claim 12 , wherein the token is generated based on a current location of the client device and a billing location of the client device.

14 - 15 . (canceled)

16 . The non-transitory computer-readable medium of claim 11 , wherein the data associated with the user comprises at least one of content consumption history data, user demographic data, and user purchasing data.

17 . The non-transitory computer-readable medium of claim 11 , wherein the blackout data comprises content viewing restrictions based on at least one of a current location of the client device and a billing location of the client device.

18 . The non-transitory computer-readable medium of claim 11 , wherein the instructions further cause the computing system to generate a second playlist based on a second set of queue points, the content rights, and the data associated with the user; wherein the second set of queue points do not include any queue points from the first set of queue points.

19 . A system comprising:

a processor; and

a non-transitory computer-readable medium storing instructions that, when executed by the system, cause the system to:

receive content from a video source;

associate a plurality of queue points with the content;

receive a request for content from a client device;

receive data associated with a user of the client device;

determine content rights associated with the client device, the content rights determined using blackout data applicable to the content;

receive event data, wherein the event data comprises a plurality of start times for a plurality of events associated with the content, wherein the event data is generated based on at least one of sport data and social media data associated with the content; and

generate an individualized playlist based on a first set of queue points, the data associated with the user, the event data, and the content rights.

20 . The system of claim 19 , wherein the instructions further cause the system to generate a second playlist based on a second set of queue points, the content rights, and the data associated with the user; wherein the second set of queue points do not include any queue points from the first set of queue points.