RECOMMENDING VIDEO PROGRAMS

1 - 48 . (canceled)

49 . A computer-implemented method for recommending video programs, the method comprising:

receiving, from a first user device, an indication of a first video program;

identifying a plurality of video programs related to the first video program, wherein each of the plurality of video programs corresponds to at least one of a plurality of types of user interactions related to the first video program, wherein the plurality of types of user interactions are received from a plurality of user devices other than the first user device;

determining, for each combination of the first video program and one of the plurality of video programs, frequency information that indicates an amount each combination occurs in connection with each type of user interaction;

ranking the plurality of video programs based on the frequency information;

determining a second video program related to the first video program from the plurality of video programs based on the ranking; and

causing a recommendation for the second video program to be presented.

50 . The method of claim 49 , wherein video program information including information identifying the plurality of video programs related to the first video program is stored in a video program database.

51 . The method of claim 49 , wherein each of the plurality of types of user interactions is associated with an assigned weight and wherein the plurality of video programs are ranked based on the assigned weight being applied to the type of user interactions and the determined frequency information.

52 . The method of claim 49 , further comprising:

accessing one or more access logs;

obtaining, for each of the plurality of video programs, user interaction information; and

determining the type of user interactions associated with each of the plurality of video programs based on the user interaction information.

53 . The method of claim 49 , wherein receiving the indication of the first video program further comprises:

accessing a user profile corresponding to the user; and

retrieving identifiers of one or more video programs including an identifier of the first video program that are stored in the user profile.

54 . The method of claim 49 , wherein receiving the indication of the first video program further comprises receiving information about the first video program currently being presented to the user.

55 . The method of claim 49 , wherein the recommendation is presented on a second user device different than the first user device.

56 . The method of claim 49 , wherein the second video program is selected from the plurality of video programs based on the ranking and based on broadcast time of a device associated with the user.

57 . The method of claim 56 , wherein the broadcast time is determined based location information of the device associated with the user.

58 . A computer-implemented system for recommending video programs, the system comprising:

a hardware processor that is configured to:

receive, from a first user device, an indication of a first video program;

identify a plurality of video programs related to the first video program, wherein each of the plurality of video programs corresponds to at least one of a plurality of types of user interactions related to the first video program, wherein the plurality of types of user interactions are received from a plurality of user devices other than the first user device;

determine, for each combination of the first video program and one of the plurality of video programs, frequency information that indicates an amount each combination occurs in connection with each type of user interaction;

rank the plurality of video programs based on the frequency information;

determine a second video program related to the first video program from the plurality of video programs based on the ranking; and

cause a recommendation for the second video program to be presented.

59 . The system of claim 58 , further comprising a video program database that stores video program information including information identifying the plurality of video programs related to the first video program.

60 . The system of claim 58 , wherein each of the plurality of types of user interactions is associated with an assigned weight and wherein the hardware processor is further configured to rank the plurality of video programs based on the assigned weight being applied to the type of user interactions and the determined frequency information.

61 . The system of claim 58 , wherein the hardware processor is further configured to:

access one or more access logs;

obtain, for each of the plurality of video programs, user interaction information; and

determine the type of user interactions associated with each of the plurality of video programs based on the user interaction information.

62 . The system of claim 58 , wherein the hardware processor is further configured to:

access a user profile corresponding to the user; and

retrieve identifiers of one or more video programs including an identifier of the first video program that are stored in the user profile.

63 . The system of claim 58 , wherein the hardware processor is further configured to receive information about the first video program currently being presented to the user.

64 . The system of claim 58 , wherein the recommendation is presented on a second user device different than the first user device.

65 . The system of claim 58 , wherein the second video program is selected from the plurality of video programs based on the ranking and based on broadcast time of a device associated with the user.

66 . The system of claim 65 , wherein the broadcast time is determined based location information of the device associated with the user.

67 . A non-transitory computer-readable medium containing computer executable instructions that, when executed by a processor, cause the processor to perform a method for recommending video programs, the method comprising:

receiving, from a first user device, an indication of a first video program;

identifying a plurality of video programs related to the first video program, wherein each of the plurality of video programs corresponds to at least one of a plurality of types of user interactions related to the first video program, wherein the plurality of types of user interactions are received from a plurality of user devices other than the first user device;

determining, for each combination of the first video program and one of the plurality of video programs, frequency information that indicates an amount each combination occurs in connection with each type of user interaction;

ranking the plurality of video programs based on the frequency information;

determining a second video program related to the first video program from the plurality of video programs based on the ranking; and

causing a recommendation for the second video program to be presented.