Method and apparatus for demographic-based reminders
View Patent ↗An electronic calendar includes such features as recurring reminders, dividing unpredictable work loads into equal pieces, template free parsing, a reminders scheduling algorithm to reduce spikes, dynamic delivery and recovery algorithms, methods for splitting the work load between controllers and workers and for monitoring progress, all within the context of a calendar architecture for a large enterprise.
1. A method comprising:
collecting information regarding a plurality of reminders associated with a plurality of calendar events, wherein the plurality of reminders have a related delivery time;
determining, by at least one processor, an inferred user intent associated with each of the plurality of reminders;
based on the inferred user intent associated with each of the plurality of reminders, clustering, by the at least one processor, the plurality of reminders into a plurality of priority classes; and
providing the plurality of reminders in clusters in accordance with the plurality of priority classes.
2. The method of claim 1 , further comprising determining the inferred user intent associated with each of the plurality of reminders based on a lead time associated with each of the plurality of reminders.
3. The method of claim 2 , wherein the lead time associated with each of the plurality of reminders comprises an amount of time between a time a corresponding event occurs and a time a reminder is to be sent.
4. The method of claim 3 , wherein clustering the plurality of reminders into a plurality of priority classes comprises clustering reminders associated with similar lead times into a common priority class.
5. The method of claim 3 , wherein clustering the plurality of reminders into a plurality of priority classes comprises assigning reminders associated with relatively shorter lead times to a higher priority class than reminders associated with relatively longer lead times.
6. The method of claim 1 , wherein providing the plurality of reminders in clusters in accordance with the plurality of priority classes comprises spreading delivery of the plurality of reminders out in time.
7. The method of claim 1 , wherein determining the inferred user intent associated with each of the plurality of reminders comprises determining an urgency of each of the plurality of reminders.
8. The method of claim 1 , wherein clustering the plurality of reminders into the plurality of priority classes is further based on a delivery destination associated with each of the plurality of reminders.
9. The method of claim 1 , further comprising assigning a delivery time to each of the plurality reminders in accordance with the plurality of priority classes.
10. The method of claim 9 , further comprising identifying, from a data table of acceptable delivery windows, an acceptable delivery window for each of the plurality of priority classes, and wherein assigning a delivery time to each of the plurality of reminders in accordance with the plurality of priority classes comprises assigning a delivery time within an acceptable delivery window assigned to a corresponding plurality class.
11. The method of claim 1 , further comprising clustering the plurality of reminders into a plurality of priority classes based on a capacity of a corresponding reminder delivery system to prevent delivery of the plurality of reminders from exceeding the capacity of the corresponding reminder delivery system.
12. A non-transitory computer-readable storage medium including a set of instructions that, when executed by at least one processor, cause a computer system to:
collect information regarding a plurality of reminders associated with a plurality of calendar events, wherein the plurality of reminders have a related delivery time;
determine an inferred user intent associated with each of the plurality of reminders;
based on the inferred user intent associated with each of the plurality of reminders, cluster, the plurality of reminders into a plurality of priority classes; and
provide the plurality of reminders in accordance with the plurality of priority classes.
13. The non-transitory computer-readable storage medium of claim 12 , further comprising instructions that, when executed by at least one processor, cause the computer system to determine the inferred user intent associated with each of the plurality of reminders based on a lead time associated with each of the plurality of reminders, wherein the lead time associated with each of the plurality of reminders comprises an amount of time between a time a corresponding event occurs and a time a reminder is to be sent.
14. The non-transitory computer-readable storage medium of claim 13 , wherein clustering the plurality of reminders into a plurality of priority classes comprises:
clustering reminders associated with similar lead times into a common priority class; and
assigning reminders associated with relatively shorter lead times to a higher priority class than reminders associated with relatively longer lead times.
15. The non-transitory computer-readable storage medium of claim 12 , further comprising instructions that, when executed by at least one processor, cause the computer system to provide the plurality of reminders in clusters in accordance with the plurality of priority classes by spreading delivery of the plurality of reminders out in time.
16. The non-transitory computer-readable storage medium of claim 12 , further comprising instructions that, when executed by at least one processor, cause the computer system to provide the plurality of reminders in clusters in accordance with the plurality of priority classes by delivering reminders in a highest priority class of the plurality of priority classes at the related delivery time and delivering reminders in a lowest priority class of the plurality of priority classes before or after the related delivery time.
17. A server device comprising:
at least one processor; and
at least one non-transitory computer-readable storage medium storing instructions thereon that, when executed by the at least one processor, cause the server device to:
collect information regarding a plurality of reminders associated with a plurality of calendar events, wherein the plurality of reminders have a related delivery time;
determine an inferred user intent associated with each of the plurality of reminders;
based on the inferred user intent associated with each of the plurality of reminders, cluster the plurality of reminders into a plurality of priority classes; and
provide the plurality of reminders in clusters in accordance with the plurality of priority classes.
18. The server device of claim 17 , wherein the instructions, when executed by the at least one processor, further cause the server device to determine the inferred user intent associated with each of the plurality of reminders based on a lead time and an urgency associated with each of the plurality of reminders.
19. The server device of claim 17 , wherein the instructions, when executed by the at least one processor, further cause the server device to cluster the plurality of reminders into the plurality of priority classes based further on a delivery destination associated with each of the plurality of reminders.
20. The server device of claim 17 , wherein the instructions, when executed by the at least one processor, further cause the server device to assign a delivery time within an acceptable delivery window to each of the plurality of reminders.