Content recommendation using subsequence profiling

A device comprising:

• a memory to store a plurality of instructions;
• and
• a processor to execute instructions in the memory to:
• identify at least one program viewing sequence, wherein each of the at least one program viewing sequence comprises a plurality of programs in at least one television viewing session on at least one user device;
• identify a recurring subsequence in the at least one program viewing sequence, wherein the recurring subsequence comprises a subsequence of programs that is repeated in the at least one program viewing sequence;
• determine a user profile associated with a group of television viewers that view the recurring subsequence;
• receive a current viewing indicator from a particular user device;
• determine whether the current viewing indicator is a sufficient predictor of the recurring subsequence based on a probability of an incidence of the current viewing indicator indicating a recurrence of the subsequence;
• and
• provide a content recommendation based on the user profile associated with the group of television viewers and in response to a determination that the current viewing indicator indicates the recurring subsequence.

A non-transitory computer-readable medium including instructions to be executed by a processor, the instructions including one or more instructions, which when executed by the processor, for causing the processor to:

• identify at least one program viewing sequence, wherein each of the at least one program viewing sequence comprises a plurality of programs;
• identify a recurring subsequence in the at least one program viewing sequence, wherein the recurring subsequence comprises a subsequence of programs that is repeated in the at least one program viewing sequence;
• determine a user profile based on the recurring subsequence;
• receive a current viewing indicator from a particular user device;
• determine whether the current viewing indicator is a sufficient predictor of the recurring subsequence based on a probability of an incidence of the current viewing indicator indicating a recurrence of the subsequence;
• and
• provide a content recommendation to the particular user device based on the user profile and in response to a determination that the current viewing indicator indicates the recurrence of the subsequence.