Systems and methods for providing electronic event attendance mode recommendations
Systems and methods include providing a recommendation for an attendance mode for a user to select when invited to an event through a calendaring application. Systems and methods include processing event and user data with a neural network configured to output a recommended attendance mode.
1. A method of generating user-specific recommendations, the method comprising:
identifying an electronic invitation to an event;
determining a user associated with the electronic invitation;
performing an analysis of the event based on the user;
based on the analysis, determining a recommended attendance mode of a plurality of attendance modes, wherein the plurality of attendance modes comprise one or more of an in-person attendance, a remote attendance, a partial attendance, and a selective attendance; and
presenting the recommended attendance mode to the user.
2. The method of claim 1 , wherein the analysis comprises identifying one or more invitees to the event.
3. The method of claim 2 , further comprising determining a relationship between the user and the one or more invitees.
4. The method of claim 1 , wherein the analysis comprises identifying one or more topics associated with the event.
5. The method of claim 1 , wherein the analysis comprises determining one or more other events are within a temporal proximity to the event.
6. The method of claim 1 , wherein the analysis comprises inputting data associated with the event and data associated with the user into a neural network.
7. The method of claim 6 , further comprising:
determining the recommended attendance mode was accepted by the user; and
training the neural network based on the determination that the recommended attendance mode was accepted by the user.
8. The method of claim 6 , further comprising:
determining the recommended attendance mode was not accepted by the user;
determining a different attendance mode was selected by the user; and
training the neural network based on the determination that the recommended attendance mode was not accepted by the user.
9. The method of claim 8 , further comprising:
receiving text comprising a reason provided by the user describing why the recommended attendance mode was or was not accepted;
analyzing the text comprising the reason; and
training the neural network based on the analysis of the text comprising the reason.
10. The method of claim 1 , wherein the analysis comprises determining a number of users invited to the event.
11. A computer system comprising:
a processor; and
a computer-readable storage medium storing computer-readable instructions which, when executed by the processor, cause the processor to execute a method, the method comprising:
identifying an electronic invitation to an event;
determining a user associated with the electronic invitation;
performing an analysis of the event based on the user;
based on the analysis, determining a recommended attendance mode of a plurality of attendance modes, wherein the plurality of attendance modes comprise one or more of an in-person attendance, a remote attendance, a partial attendance, and a selective attendance; and
presenting the recommended attendance mode to the user.
12. The computer system of claim 11 , wherein the analysis comprises identifying one or more invitees to the event.
13. The computer system of claim 12 , wherein the method further comprises determining a relationship between the user and the one or more invitees.
14. The computer system of claim 11 , wherein the analysis comprises identifying one or more topics associated with the event.
15. The computer system of claim 11 , wherein the analysis comprises determining one or more other events are within a temporal proximity to the event.
16. The computer system of claim 11 , wherein the analysis comprises inputting data associated with the event and data associated with the user into a neural network.
17. The computer system of claim 16 , wherein the method further comprises:
determining the recommended attendance mode was accepted by the user; and
training the neural network based on the determination that the recommended attendance mode was accepted by the user.
18. The computer system of claim 16 , wherein the method further comprises:
determining the recommended attendance mode was not accepted by the user;
determining a different attendance mode was selected by the user; and
training the neural network based on the determination that the recommended attendance mode was not accepted by the user.
19. A computer program product comprising:
a non-transitory computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code configured, when executed by a processor of a first user device, to execute a method, the method comprising:
identifying an electronic invitation to an event;
determining a user associated with the electronic invitation;
performing an analysis of the event based on the user;
based on the analysis, determining a recommended attendance mode of a plurality of attendance modes, wherein the plurality of attendance modes comprise one or more of an in-person attendance, a remote attendance, a partial attendance, and a selective attendance; and
presenting the recommended attendance mode to the user.
20. The computer program product of claim 19 , wherein the analysis comprises identifying one or more invitees to the event.