Systems and methods for providing binge-watching pause position recommendations
Systems and methods are provided herein for recommending a pause position during a binge-watching session. A series containing multiple sequential episodes is provided to a user device. Then it is determined whether the user is engaged in binge-watching the series. If the user is binge-watching the series, a binge compulsion score is determined for each episode of the plurality of sequential episodes, where the binge compulsion score is based on how many additional sequential episodes an average user has watched after watching that episode. Then, in response to determining that the binge compulsion score of the next episode corresponds to a threshold, a prompt is generated for display, where the prompt includes a recommendation to the user to pause the series before the next episode begins.
1. A computer-implemented method for causing to be provided a notification related to suspected continual-consumption of content, the method comprising:
receiving a request for an episode of a plurality of content episodes of a series;
calculating, using control circuitry, a continual-consumption value for the episode, wherein the continual-consumption value is indicative of a likelihood of continually consuming subsequent episodes of the plurality of content episodes of the series;
analyzing, using the control circuitry and before the episode is caused to be displayed, the continual-consumption value of the episode to determine whether consumption of the episode is likely to cause continual-consumption of more than a predetermined amount of the subsequent episodes of the plurality of content episodes of the series within a predetermined time period subsequent to consumption of the episode wherein the analyzing comprises:
evaluating how many subsequent episodes a first plurality of other users watched on average within the predetermined time period subsequent to consumption of the episode, to calculate an expected number of subsequent episodes that is expected to be watched after watching the episode in the predetermined time period;
comparing the calculated expected number of subsequent episodes that is expected to be watched after watching the episode in the predetermined time period with the predetermined amount of subsequent episodes of the plurality of content episodes;
determining that a second plurality of other users typically pause before a next episode of the series;
adjusting a recommendation threshold in response to determining that the second plurality of other users typically paused before the next episode of the series; and
comparing the continual-consumption value against the adjusted recommendation threshold; and
in response to determining, based on the analyzing, that consumption of the episode of the plurality of content episodes is likely to cause continual-consumption of more than a predetermined amount of the subsequent episodes of the plurality of content episodes of the series within the predetermined time period subsequent to consumption of the episode, and in response to receiving the request, causing the notification to be provided.
2. The method of claim 1 , wherein the calculating the continual-consumption value for the episode comprises analyzing historic patterns of continual-consumption behavior subsequent to consumption of the episode to calculate an average rate of consumption.
3. The method of claim 2 , wherein the analyzing historic patterns of continual-consumption behavior comprises determining for a plurality of user devices a respective rate of consumption of the subsequent episodes of the plurality of content episodes of the series.
4. The method of claim 1 , wherein the calculating the continual-consumption value for the episode comprises:
comparing the episode to a different episode of a plurality of different content episodes, wherein the plurality of different content episodes meet a likeness threshold; and
determining, based on the comparison, the continual-consumption value of the episode.
5. The method of claim 4 , wherein the continual-consumption value for the episode is set to be equal to an average of continual-consumption values of the plurality of different content episodes that have a plurality of respective likeness values that exceeds the likeness threshold.
6. The method of claim 1 , further comprising calculating a second continual-consumption value for a portion of the episode; and
wherein causing the notification to be displayed comprises causing the notification to be displayed before the portion is caused to be displayed.
7. The method of claim 1 , further comprising:
calculating a current rate of consumption of episodes of the series; and
calculating a continual-consumption threshold.
8. The method of claim 7 , wherein the current rate of consumption is based on a dynamic time window.
9. The method of claim 7 , wherein the calculating the continual-consumption threshold comprises calculating the continual-consumption threshold based on at least one selected from the group of a user profile, a watching history, and calendar data.
10. A system for causing to be provided a notification related to suspected continual-consumption of content, the system comprising control circuitry configured to:
receive a request for an episode of a plurality of content episodes of a series;
calculate a continual-consumption value for the episode, wherein the continual-consumption value is indicative of a likelihood of continually watching subsequent episodes of the plurality of content episodes of the series;
analyze, using the control circuitry and before the episode is caused to be displayed, the continual-consumption value of the episode to determine whether consumption of the episode is likely to cause continual-consumption of more than a predetermined amount of the subsequent episodes of the plurality of content episodes of the series within a predetermined time period subsequent to consumption of the episode wherein the control circuitry is configured to analyze the continual-consumption value of the episode by:
evaluating how many subsequent episodes a first plurality of other users watched on average within the predetermined time period subsequent to consumption of the episode, to calculate an expected number of subsequent episodes that is expected to be watched after watching the episode in the predetermined time period;
comparing the calculated expected number of subsequent episodes that is expected to be watched after watching the episode in the predetermined time period with the predetermined amount of subsequent episodes of the plurality of content episodes;
determining that a second plurality of other users typically pause before a next episode of the series;
adjusting a recommendation threshold in response to determining that the second plurality of other users typically paused before the next episode of the series; and
comparing the continual-consumption value against the adjusted recommendation threshold; and
in response to determining, based on the analyzing, that consumption of the episode of the plurality of content episodes is likely to cause continual-consumption of more than a predetermined amount of the subsequent episodes of the plurality of content episodes of the series within the predetermined time period subsequent to consumption of the episode, and in response to receiving the request, cause the notification to be provided.
11. The system of claim 10 , wherein the control circuitry is configured to calculate the continual-consumption value for the episode by analyzing historic patterns of continual-consumption behavior subsequent to consumption of the episode to calculate an average rate of consumption.
12. The system of claim 11 , wherein the control circuitry is configured to analyze historic patterns of continual-consumption behavior by determining for a plurality of user devices a respective rate of consumption of the subsequent episodes of the plurality of content episodes of the series.
13. The system of claim 10 , wherein the control circuitry is configured to calculate the continual-consumption value for the episode by:
comparing the episode to a different episode of a plurality of different content episodes, wherein the plurality of different content episodes meet a likeness threshold; and
determining, based on the comparison, the continual-consumption value of the episode.
14. The system of claim 13 , wherein the continual-consumption value for the episode is set to be equal to an average of continual-consumption values of the plurality of different content episodes that have a plurality of respective likeness values that exceeds the likeness threshold.
15. The system of claim 10 , wherein the control circuitry is further configured to calculate a second continual-consumption value for a portion of the episode; and
wherein the control circuitry is configured to cause the notification to be displayed by causing the notification to be displayed before the portion is caused to be displayed.
16. The system of claim 10 , wherein the control circuitry is further configured to:
calculate a current rate of consumption of episodes of the series; and
calculate a continual-consumption threshold.
17. The system of claim 16 , wherein the current rate of consumption is based on a dynamic time window.
18. The system of claim 16 , wherein the control circuitry is configured to calculate the continual-consumption threshold by calculating the continual-consumption threshold based on at least one selected from the group of a user profile, a watching history, and calendar data.