Methods and systems for predictive buffering of related content segments

1. A method for buffering portions of content, the method comprising:

providing content for a user, the content comprising an episode of a series;

determining a current scene of the content being provided for the user;

determining a characteristic of the current scene of the content;

accessing a plurality of content segments previously viewed by the user, the plurality of content segments from one or more episodes of the series viewed before the episode of the series;

determining, from the plurality of content segments previously viewed by the user, a plurality of related content segments related to the current scene of the content based on the determined characteristic of the current scene;

determining confidence scores for each of the plurality of related content segments;

determining a subset of related content segments of the plurality of related content segments based on the respective confidence score that are highest; and

buffering in memory the subset of related content segments.

2. The method of claim 1 , further comprising:

presenting the subset of related content segments for user selection;

receiving a user selection to switch to a content segment from the subset of related content segments;

retrieving the content segment from the buffered memory; and

generating for display the content segment retrieved from the buffered memory.

3. The method of claim 1 , wherein the plurality of related content segments comprises a portion of the content and a portion of a second content different from the first content.

4. The method of claim 1 , further comprising:

determining whether the current scene of the content is related to another segment of content;

determining a likelihood that the user will switch back to the current scene of the content when the another segment of content is being generated for display; and

maintaining the current scene of the content buffered in memory when it is determined that the likelihood that the user will switch back to the current scene of the content is greater than a predetermined threshold.

5. The method of claim 1 , wherein determining the plurality of related content segments related to the current scene of the content based on the characteristic of the current scene comprises:

determining a probability of the user navigating away from the current scene of the content; and

in response to determining that probability of the user navigating away from the current scene of the content surpasses a minimum probability of navigating away, determining the plurality of related content segments related to the current scene of the content.

6. The method of claim 5 , wherein determining the probability of the user navigating away from the current scene of content comprises:

retrieving a user profile, wherein the user profile comprises one or more of viewing history, mood, and one or more characteristics of interest;

comparing the characteristic of the current scene of the content to the user profile; and

determining an extent of interest in the current scene of the content based on the comparison.

7. The method of claim 1 , wherein the determining confidence scores for each of the plurality of related content segments comprises:

determining a probability, for each of the plurality of related content segments, that the user might switch from the current scene to the respective related content segment of the plurality of related content segments.

8. The method of claim 1 further comprising:

determining a respective confidence score for each remaining of the plurality of related content segments;

determining a subset of the remaining of the plurality of related content segments based on whether the respective confidence score for each remaining of the plurality of related content segments is above a predetermined threshold;

buffering in the memory, during display of the current scene of content, one or more of the determined subset of the remaining of the plurality of related content segments.

9. The method of claim 1 , wherein the characteristic of the current scene of the content is one of an audio characteristic of the background audio, a language spoken, an actor, an emotion, a genre, an integrated sponsor, and a character.

10. The method of claim 1 , wherein determining the plurality of related content segments comprises:

retrieving a metadata file of characteristics for portions of the content; and

determining a plurality of related content segments related to the current scene of the content based on the characteristic of the current scene and an analysis of the metadata file.

11. A system for buffering portions of content, the system comprising:

memory; and

processing circuitry configured to:

provide content for a user, the content comprising an episode of a series;

determine a current scene of the content being provided for the user;

determine a characteristic of the current scene of the content;

access a plurality of content segments previously viewed by the user, the plurality of content segments from one or more episodes of the series viewed before the episode of the series;

determine, from the plurality of content segments previously viewed by the user, a plurality of related content segments related to the current scene of the content based on the determined characteristic of the current scene;

determine confidence scores for each of the plurality of related content segments;

determine a subset of related content segments of the plurality of related content segments based on the respective confidence score that are highest; and

buffer, in the memory, the subset of related content segments.

12. The system of claim 11 further comprising:

input/output circuitry configured to receive a user selection to switch to a content segment of one of the following: the first related content segment and the second related content segment; and

wherein the processing circuitry is further configured to:

retrieve the content segment from the buffered memory; and

generate for display the content segment retrieved from the buffered memory.

13. The system of claim 11 , wherein the plurality of related content segments comprises a portion of the content and a portion of a second content different from the first content.

14. The system of claim 11 , wherein the processing circuitry is further configured to:

determine whether the current scene of the content is related to another segment of content;

determine a likelihood that the user will switch back to the current scene of the content when the another segment of content is being generated for display; and

maintain the current scene of the content buffered in the memory when it is determined that the likelihood that the user will switch back to the current scene of the content is greater than a predetermined threshold.

15. The system of claim 11 , wherein the processing circuitry is further configured, when determining the plurality of related content segments related to the current scene of the content based on the characteristic of the current scene, to:

determine a probability of the user navigating away from the current scene of the content; and

in response to the determining that the probability of the user navigating away from the current scene of the content surpasses a minimum probability of navigating away, determine the plurality of related content segments related to the current scene of the content.

16. The system of claim 15 , wherein the processing circuitry is further configured, when determining the probability of the user navigating away from the current scene of content, to:

retrieve a user profile, wherein the user profile comprises one or more of viewing history, mood, and one or more characteristics of interest;

compare the characteristic of the current scene of the content to the user profile; and

determine an extent of interest in the current scene of the content based on the comparison.

17. The system of claim 11 , wherein the processing circuitry is further configured, when determining confidence scores for each of the plurality of related content segments, to:

determine a probability, for each of the plurality of related content segments, that the user might switch from the current scene to the respective related content segment of the plurality of related content segments.

18. The system of claim 11 , wherein the characteristic of the current scene of the content is one of an audio characteristic of the background audio, a language spoken, an actor, an emotion, a genre, an integrated sponsor, and a character.

19. The system of claim 11 , wherein the processing circuitry is further configured, when determining the plurality of related content segments, to:

retrieve a metadata file of characteristics for portions of the content; and

determine a plurality of related content segments related to the current scene of the content based on the characteristic of the current scene and an analysis of the metadata file.

20. A method for buffering portions of content, the method comprising:

providing content for a user, the content comprising an episode of a series;

determining a current scene of the content being provided for the user;

determining a characteristic of the current scene of the content;

accessing a plurality of content segments previously viewed by the user, the plurality of content segments from one or more episodes of the series viewed before the episode of the series;

determining, from the plurality of content segments previously viewed by the user, one or more first related content segments related to the current scene of the content based on the determined characteristic of the current scene; and

buffering in memory the one or more first related content segments.