The various implementations described herein include systems and methods for determining that media items are currently being presented. In one aspect, a method performed at a client device includes: (1) identifying a media item potentially being presented on an output device coupled to the client device; (2) calculating a level of confidence that the identified media item is currently being presented to the user; (3) subsequent to the calculating, determining that at least one predetermined event associated with user interaction with the media item has occurred; and (4) based on the at least one predetermined event, increasing or decreasing the level of confidence that the identified media item is currently being presented to the user.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method for determining a level of confidence that an identified media item is currently being presented to a user, comprising: at a client device having at least one processor and memory: identifying a media item potentially being presented on an output device coupled to the client device; calculating a level of confidence that the identified media item is currently being presented to the user; subsequent to the calculating, determining that at least one predetermined event associated with user interaction with the media item has occurred; and based on the at least one predetermined event, increasing or decreasing the level of confidence that the identified media item is currently being presented to the user. 2. The method of claim 1, further comprising, in accordance with a determination that the level of confidence exceeds a predetermined confidence threshold, recommending related media to the user. 3. The method of claim 1, further comprising, in accordance with a determination that the level of confidence exceeds a predetermined confidence threshold, updating interest data of the user. 4. The method of claim 1, wherein the at least one predetermined event includes a frequency of input events received from the input device of the client device exceeding predetermined threshold frequency of input events. 5. The method of claim 1, wherein the at least one predetermined event includes detecting that the user is using another input device to acquire media items. 6. The method of claim 1, wherein the at least one predetermined event includes a current time that is in a range of times during which the user uses the input device of the client device to instruct the client device to acquire and present media items. 7. The method of claim 1, wherein the at least one predetermined event includes a current time that is in a range of times during which the user does not use an input device of the client device to instruct the client device to acquire and present media items. 8. The method of claim 1, wherein the at least one predetermined event includes a time period since a most-recent tune-in event exceeding a predetermined time period. 9. The method of claim 1, including: determining that the level of confidence is below a predetermined threshold level of confidence; and re-identifying the media item currently being presented to the user on the output device coupled to the client device. 10. The method of claim 1, including: analyzing the media item to identify patterns in the media item; and increasing the level of confidence that the identified media item is currently being presented to the user when the patterns includes expected patterns for the media item; and decreasing the level of confidence that the identified media item is currently being presented to the user when the patterns do not include expected patterns for the media item. 11. The method of claim 10, wherein an expected pattern is selected from the group consisting of: an audio watermark in an audio signal of the media item; a video watermark in a video signal of the media item; a channel logo in the video signal of the media item; and a credit roll at a particular time index of the media item. 12. The method of claim 1, wherein identifying the media item includes identifying the media item based on input events received from the input device of the client device. 13. The method of claim 1, wherein identifying the media item includes: analyzing the media item to extract a watermark; and identifying the media item based on the watermark. 14. The method of claim 1, wherein identifying the media item includes: using an optical character recognition technique to extract text from a video signal of the media item; and identifying the media item based on the extracted text. 15. The method of claim 1, wherein identifying the media item includes: issuing a command to a media device to provide information relating to the media item; and analyzing the information relating to the media item to identify the media item. 16. The method of claim 1, wherein prior to identifying the media item, the method includes: receiving, via the input device, a request from a user to access the media item from a media device; acquiring the media item using the media device; and presenting the media item to the user on the output device coupled to the client device. 17. The method of claim 1, wherein the media item is selected from the group consisting of: a movie; a video; a television program; a book; an issue of a magazine; an article; a song; and a game. 18. The method of claim 1, wherein the client device is a television set top box. 19. A client device, comprising: at least one processor; memory; and at least one program stored in the memory and executable by the at least one processor, the at least one program comprising instructions to: identifying a media item potentially being presented on an output device coupled to the client device; calculating a level of confidence that the identified media item is currently being presented to the user; subsequent to the calculating, determining that at least one predetermined event associated with user interaction with the media item has occurred; and based on the at least one predetermined event, increasing or decreasing the level of confidence that the identified media item is currently being presented to the user. 20. A non-transitory computer-readable storage medium storing at least one program configured for execution by at least one processor of a client device, the at least one program comprising instructions to: identify a media item potentially being presented on an output device coupled to the client device; calculate a level of confidence that the identified media item is currently being presented to the user; subsequent to the calculating, determine that at least one predetermined event associated with user interaction with the media item has occurred; and based on the at least one predetermined event, increase or decrease the level of confidence that the identified media item is currently being presented to the user.