Systems and methods for predictive download

1. A computer-implemented method comprising:

predicting, by a computer system, a time a user of a client application has at least a particular threshold confidence score of accessing a preferred network connection;

identifying, by the computer system, based on at least one of user behavior, network access patterns related to the client application, or a relevance metric specific to the user, one or more multimedia content items in a content item datastore that are accessible to the user;

calculating, by the computer system, a respective confidence score that the user will interact with each of the one or more multimedia content items within an allowable deviation from the predicted time;

ranking, by the computer system, the one or more multimedia content items based on the respective confidence score associated with each of the one or more multimedia content items;

selecting, by the computer system, from the one or more multimedia content items a set of multimedia content items that each at least meets a particular threshold ranking;

providing, by the computer system, to the client application the set of multimedia content items at the predicted time;

receiving, by the computer system, from the client application a reference to one or more unused multimedia content items; and

discounting, by the computer system, in response to receiving the reference, another confidence score for another multimedia content item similar to the one or more unused multimedia content items.

2. The computer-implemented method of claim 1 , further comprising:

searching the content item datastore for the other multimedia content item similar to the one or more unused multimedia content items prior to discounting the other confidence score.

3. The computer-implemented method of claim 1 , wherein the other multimedia content item is similar to the one or more unused multimedia content items based on the other multimedia content item sharing one or more characteristics with the one or more unused multimedia content items.

4. The computer-implemented method of claim 3 , wherein the one or more characteristics are associated with at least one of a size, a user targeting profile, a content portion, a plot, a character, or a creator.

5. The computer-implemented method of claim 1 , wherein at least some of the one or more unused multimedia content items did not fully download to the client application.

6. The computer-implemented method of claim 1 , wherein at least some of the one or more unused multimedia content items were not executed by the client application.

7. The computer-implemented method of claim 1 , wherein at least some of the one or more unused multimedia content items were not used by the client application.

8. A computer system comprising:

at least one processor; and

a memory storing instructions configured to instruct the at least one processor to perform:

predicting a time a user of a client application has at least a particular threshold confidence score of accessing a preferred network connection;

identifying, based on at least one of user behavior, network access patterns related to the client application, or a relevance metric specific to the user, one or more multimedia content items in a content item datastore that are accessible to the user;

calculating a respective confidence score that the user will interact with each of the one or more multimedia content items within an allowable deviation from the predicted time;

ranking the one or more multimedia content items based on the respective confidence score associated with each of the one or more multimedia content items;

selecting from the one or more multimedia content items a set of multimedia content items that each at least meets a particular threshold ranking;

providing to the client application the set of multimedia content items at the predicted time;

receiving from the client application a reference to one or more unused multimedia content items; and

discounting, in response to receiving the reference, another confidence score for another multimedia content item similar to the one or more unused multimedia content items.

9. The computer system of claim 8 , wherein the instructions cause the system to further perform:

searching the content item datastore for the other multimedia content item similar to the one or more unused multimedia content items prior to discounting the other confidence score.

10. The computer system of claim 8 , wherein the other multimedia content item is similar to the one or more unused multimedia content items based on the other multimedia content item sharing one or more characteristics with the one or more unused multimedia content items.

11. The computer system of claim 10 , wherein the one or more characteristics are associated with at least one of a size, a user targeting profile, a content portion, a plot, a character, or a creator.

12. The computer system of claim 8 , wherein at least some of the one or more unused multimedia content items did not fully download to the client application.

13. The computer system of claim 8 , wherein at least some of the one or more unused multimedia content items were not executed by the client application.

14. The computer system of claim 8 , wherein at least some of the one or more unused multimedia content items were not used by the client application.

15. A non-transitory computer-storage medium storing computer-executable instructions that, when executed, cause a computer system to perform a computer-implemented method comprising:

predicting a time a user of a client application has at least a particular threshold confidence score of accessing a preferred network connection;

identifying, based on at least one of user behavior, network access patterns related to the client application, or a relevance metric specific to the user, one or more multimedia content items in a content item datastore that are accessible to the user;

calculating a respective confidence score that the user will interact with each of the one or more multimedia content items within an allowable deviation from the predicted time;

ranking the one or more multimedia content items based on the respective confidence score associated with each of the one or more multimedia content items;

selecting from the one or more multimedia content items a set of multimedia content items that each at least meets a particular threshold ranking;

providing to the client application the set of multimedia content items at the predicted time;

receiving from the client application a reference to one or more unused multimedia content items; and

discounting, in response to receiving the reference, another confidence score for another multimedia content item similar to the one or more unused multimedia content items.

16. The non-transitory computer-storage medium of claim 15 , wherein the instructions cause the computer system to further perform:

searching the content item datastore for the other multimedia content item similar to the one or more unused multimedia content items prior to discounting the other confidence score.

17. The non-transitory computer-storage medium of claim 15 , wherein the other multimedia content item is similar to the one or more unused multimedia content items based on the other multimedia content item sharing one or more characteristics with the one or more unused multimedia content items.

18. The non-transitory computer-storage medium of claim 17 , wherein the one or more characteristics are associated with at least one of a size, a user targeting profile, a content portion, a plot, a character, or a creator.

19. The non-transitory computer-storage medium of claim 15 , wherein at least some of the one or more unused multimedia content items did not fully download to the client application.

20. The non-transitory computer-storage medium of claim 15 , wherein at least some of the one or more unused multimedia content items were not used by the client application.