Adaptive on-screen guide based on channel or content transition commands
Systems and methods for generating a channel sequence for display via an abbreviated on-screen guide are disclosed herein. Channel tuning commands are entered via a user interface of a computing device. Channel tuning data, which describes channel transitions caused by the channel tuning commands, is stored in a buffer. Based on the channel tuning data, a channel family comprising a plurality of channels is generated. A determination is made as to whether a currently tuned channel is included in the channel family. In response to determining that the currently tuned channel is included in the channel family, an on-screen guide, which comprises an abbreviated channel listing of the plurality of channels of the channel family, is generated for display.
1. A method comprising:
receiving transition data describing transitions to a first plurality of content items,
wherein each respective transition is caused by a corresponding command received via a user interface;
storing, in a buffer, the transition data;
inferring a user mood based on the transition data;
based on the user mood, generating a content family comprising a second plurality of content items;
determining that a content item currently being played back is included in the content family;
generating for display an abbreviated listing of the content family;
receiving second transition data describing transitions to a third plurality of content items;
inferring a change in the user mood based on the second transition data;
based on the changed user mood, generating a second content family comprising a fourth plurality of content items;
determining that the content item currently being played back is included in the second content family; and
generating for display an abbreviated listing of the second content family.
2. The method of claim 1 wherein the inferring the user mood is further based on at least one of a time or day of each command received.
3. The method of claim 1 , further comprising:
inferring a combination of users based on the transition data; and
wherein the generating the content family is further based on the combination of users.
4. The method of claim 3 , further comprising:
inferring a change in the combination of users based on the second transition data; and
wherein the generating the second content family comprising the fourth plurality of content items is further based on the changed combination of users.
5. The method of claim 3 , wherein the inferring the combination of users is further based on at least one of a time or day of each command received.
6. The method of claim 3 , wherein the inferring the combination of users further comprises:
comparing past user behavior associated with each of a plurality of user accounts with the transition data; and
determining that at least a portion of the past user behavior associated with each user account matches at least a portion of commands corresponding to transitions in the transition data.
7. The method of claim 1 , further comprising:
generating a baseline content transition matrix based on the transition data, each entry of the baseline content transition matrix indicating a respective number of transitions from a first content item to a second content item caused by a corresponding command; and
wherein the generating the content family is further based on the baseline content transition matrix.
8. The method of claim 7 , further comprising:
filtering the transition data to include only transition data for commands received at a day or time within a degree of proximity to a current day of the week or a current time;
generating a filtered content transition matrix based on the filtered transition data, each entry of the filtered content transition matrix indicating a respective number of transitions between content caused by the commands for the filtered transition data; and
wherein the generating the content family is further based on the filtered content transition matrix.
9. The method of claim 1 , wherein the first plurality of content items and the second plurality of content items comprise on-demand content.
10. A system comprising:
input/output circuitry configured to:
receive transition data describing transitions to a first plurality of content items, wherein each respective transition is caused by a corresponding command received via a user interface;
memory configured to:
store, in a buffer, the transition data;
control circuitry configured to:
infer a user mood based on the transition data;
based on the user mood, generating a content family comprising a second plurality of content items; and
determine that a content item currently being played back is included in the content family;
wherein the input/output circuitry is further configured to:
generate for display an abbreviated listing of the content family; and
receive second transition data describing transitions to a third plurality of content items;
wherein the control circuitry is further configured to:
infer a change in the user mood based on the second transition data;
based on the changed user mood, generate a second content family comprising a fourth plurality of content items; and
determine that the content item currently being played back is included in the second content family; and
wherein the input/output circuitry is further configured to:
generate for display an abbreviated listing of the second content family.
11. The system of claim 10 , wherein the inferring the user mood is further based on at least one of a time or day of each command received.
12. The system of claim 10 ,
wherein the control circuitry is further configured to infer a combination of users based on the transition data; and
wherein the generating the content family is further based on the combination of users.
13. The system of claim 12 ,
wherein the control circuitry is further configured to:
infer a change in the combination of users based on the second transition data; and
wherein generating the second content family comprising the fourth plurality of content items is further based on the changed combination of users.
14. The system of claim 12 , wherein the inferring the combination of users is further based on at least one of a time or day of each command received.
15. The system of claim 12 , wherein the control circuitry configured to infer the combination of users is further configured to:
compare past user behavior associated with each of a plurality of user accounts with the transition data; and
determine that at least a portion of the past user behavior associated with each user account matches at least a portion of commands corresponding to transitions in the transition data.
16. The system of claim 10 :
wherein the control circuitry is further configured to:
generate a baseline content transition matrix based on the transition data, each entry of the baseline content transition matrix indicating a respective number of transitions from a first content item to a second content item caused by a corresponding command; and
wherein the generating the content family is further based on the baseline content transition matrix.
17. The system of claim 16 :
wherein the control circuitry is further configured to:
filter the transition data to include only transition data for commands received at a day or time within a degree of proximity to a current day of the week or a current time;
generate a filtered content transition matrix based on the filtered transition data, each entry of the filtered content transition matrix indicating a respective number of transitions between content caused by the commands for the filtered transition data; and
wherein the generating the content family is further based on the filtered content transition matrix.
18. The system of claim 10 , wherein the first plurality of content items and the second plurality of content items comprise on-demand content.