SYSTEMS AND METHODS FOR INDICATING EVENTS OF INTEREST AT A USER DEVICE

1 . A method of indicating events of interest to a user comprising:

at a user device, receiving event data from one or more event data sources;

identifying an event to be indicated to a user of a user device based on the event data;

indicating the identified event to the user;

receiving, via the user device, feedback regarding the identified event; and

using the feedback to train future event identification.

2 . The method of claim 1 ,

wherein the events compromise one or more of entertainment events and social events; and

wherein said event data sources comprise one or more of

online information sources for upcoming entertainment events, and

social media information sources.

3 . The method of claim 1 , wherein the event data compromises one or more of:

a location of an event;

a time for the event;

a category for the event;

a performer at the event; and

an attendee of the event.

4 . The method of claim 1 , further comprising:

indicating, to the user, relationships between events, wherein the relationships between events are based on common features of the events.

5 . The method of claim 1 , further comprising:

receiving a user profile of the user of the user device,

performed before said identification of an event, wherein said identification of an event is further based on the user profile.

6 . The method of claim 1 wherein, the feedback comprises acceptance or rejection of an identified event by the user of the user device.

7 . The method of claim 1 , wherein the feedback comprises a statement of a user preference regarding said identification.

8 . The method of claim 1 ,

wherein said identification is performed using an artificial neural network, and

wherein training of future event identification comprises training of the neural network.

9 . A system for indicating events of interest to user, comprising:

a processor; and

a memory in communication with said processor, said memory for storing a plurality of processing instructions for directing said processor to:

receive event data from one or more event data sources;

identify an event to be indicated to a user of a user device based on the event data;

indicate the identified event to the user;

receive, via the user device, feedback regarding the identified event; and

use the feedback to train future event identification.

10 . The system of claim 9 ,

wherein the events compromise one or more of entertainment events and social events; and

wherein said event data sources comprise one or more of

online information sources for upcoming entertainment events, and

social media information sources.

11 . The system of claim 9 , wherein the event data compromises one or more of:

a location of an event;

a time for the event;

a category for the event;

a performer at the event; and

an attendee of the event.

12 . The system of claim 9 , wherein said instructions further direct said processor to:

indicate, to the user, relationships between events, wherein the relationships between events are based on common features of the events.

13 . The system of claim 9 , wherein said instructions further direct said processor to:

receive a user profile of the user of the user device,

performed before the identification of an event, wherein said identification of an event is further based on the user profile.

14 . The system of claim 9 , wherein, the feedback comprises acceptance or rejection of an identified event by the user of the user device.

15 . The system of claim 9 , wherein the feedback comprises a statement of a user preference regarding the identification.

16 . The system of claim 9 ,

wherein the identification is performed using an artificial neural network, and

wherein training of future event identification comprises training of the neural network.

17 . A computer program product for indicating events of interest to a user, including a non-transitory computer readable medium having computer program logic stored therein, the computer program logic comprising:

logic for receiving event data from one or more event data sources;

logic for identifying an event to be indicated to a user of a user device based on the event data;

logic for indicating the identified event to the user;

logic for receiving, via the user device, feedback regarding the identified event; and

logic for using the feedback to train future event identification.

18 . The computer program product of claim 17 ,

wherein the events compromise one or more of entertainment events and social events; and

wherein said event data sources comprise one or more of

online information sources for upcoming entertainment events, and

social media information sources.

19 . The computer program product of claim 17 , wherein the event data compromises one or more of:

a location of an event;

a time for the event;

a category for the event;

a performer at the event; and

an attendee of the event.

20 . The computer program product of claim 17 , the computer program logic further comprising:

logic for indicating, to the user, relationships between events, wherein the relationships between events are based on common features of the events.

21 . The computer program product of claim 17 , the computer program logic further comprising:

logic for receiving a user profile of the user of the user device,

performed before the identification of an event, wherein the identification of an event is further based on the user profile.

22 . The computer program product of claim 17 wherein, the feedback comprises acceptance or rejection of an identified event by the user of the user device.

23 . The computer program product of claim 17 , wherein the feedback comprises a statement of a user preference regarding the identification.

24 . The computer program product of claim 17 ,

wherein the identification is performed using an artificial neural network, and

wherein the training of future event identification comprises training of the neural network.