SYSTEM AND METHOD FOR SCHEDULING ELECTRONIC EVENTS

• US 20090165022A1
• Filed: 12/19/2007
• Published: 06/25/2009
• Est. Priority Date: 12/19/2007
• Status: Abandoned Application

• Current Assignee: Excalibur IP, LLC (Acacia Research Corporation)
• Original Assignee: Excalibur IP, LLC (Acacia Research Corporation)
• Inventors: Madsen, Mark Hunter, Davis, Marc Eliot, Higgins, Christopher William, Martinez, Ronald, Boerries, Marco, O'Sullivan, Joseph James, Marlow, Cameron, Trout, Robert Carter
• Application Number:
  US11/960,368
• Publication Number:
  US 20090165022A1
• Time in Patent Office: Days
• US Class Current: 719/318
• CPC Class Codes: G06Q 10/109 Time management, e.g. calendars, reminders, meetings or time accounting

Abstract

The disclosure describes systems and methods for scheduling an event in which user data, which may include social data, spatial data, temporal data and logical data, associated with each of the designated attendees of the event is used to prioritize and optimally schedule the event. Based on user data collected from past interactions with the network, for each attendee a priority score is generated for the event based on a comparison of the attendee'"'"'s user data and the event information. One or more proposed alternate events are then identified based on the various attendees'"'"' priority scores of the event and their previously scheduled events. The organizer of the event may then select one of the proposed alternate events which is subsequently added to the attendees'"'"' electronic calendars.

Claims

1. A method for scheduling an event comprising:

receiving a request from an event organizer to schedule a future event, the request identifying future event information including a topic and a list of attendees;

retrieving user data associated with each of the attendees;

for each attendee, generating a priority score for the future event based on a comparison of the attendee'"'"'s user data and the event information;

identifying one or more proposed events based on each attendee'"'"'s priority score for the future event;

receiving a selection of a proposed event from the event organizer to be used as the future event; and

adding the future event to attendees'"'"' calendars in response to receiving the selection.

2. The method of claim 1, wherein retrieving user data further comprises:

retrieving at least one of social data, spatial data, temporal data and logical data associated with each of the attendees.

3. The method of claim 2 further comprising:

identifying, for each proposed event, proposed event information including an event time, an event location and a subset of attendees that can attend at that event time and location based on the information contained in the attendees'"'"' user data, the subset of attendees containing at least one of the attendees; and

transmitting a list of the one or more proposed events to the event organizer including the proposed event information for each proposed event.

4. The method of claim 3 further comprising:

identifying, for each attendee, previously scheduled events for the attendee from the attendee'"'"'s user data; and

selecting the subset of attendees based on a comparison of each attendee'"'"'s priority score for the future event and each attendee'"'"'s previously scheduled events.

5. The method of claim 4 further comprising:

for each previously scheduled event of an attendee, identifying a priority score for that previously scheduled event; and

comparing the attendee'"'"'s priority scores for the future event and that attendee'"'"'s previously scheduled events.

6. The method of claim 2, wherein generating the priority score further comprises:

identifying topic data in at least one of the attendee'"'"'s user data, the topic data identifying topics of previous messages associated with the attendee; and

for each attendee, generating the priority score for the future event based on the topic data.

7. The method of claim 1, wherein the future event information received from the organizer includes at least one preferred event time or event location and the method further comprises:

generating the priority score at least in part based on the at least one preferred event time or event location.

8. The method of claim 2, wherein generating a priority score further comprises:

for each attendee,

determining a relationship between the attendee and the organizer based on the retrieved social data, spatial data, temporal data and logical data; and

generating the priority score for the future event based at least in part on the relationship.

9. The method of claim 8, wherein determining a relationship between an attendee and the organizer includes at least one of:

comparing current contact attributes of the attendee and the organizer;

comparing location data for each of the attendee and the organizer, the location data including a set of time and location combinations associated with the respective attendee or organizer;

comparing past contact attributes of the attendee and the organizer;

retrieving at least one relationship previously selected by one of the attendee and the organizer; and

identifying previous messages between the attendee and the organizer.

10. The method of claim 1 further comprising:

collecting user data for a plurality of users including the attendees and the organizer;

for each attendee, generating a relative priority score for each user, each topic and each user-topic combination; and

for each attendee, generating the priority score for the future event based on the relative priority score of the organizer, the relative priority score of the topic, and the relative priority score of the organizer-topic combination.

11. The method of claim 10 further comprising:

revising the relative priority scores for the organizer, the topic and the organizer-topic combination based on the future meeting.

12. The method of claim 1, wherein identifying one or more proposed events further comprises:

identifying a location for each attendee associated with each proposed event based on the attendee'"'"'s user data.

13. The method of claim 5, wherein identifying one or more proposed events further comprises:

changing at least one previously scheduled event of an attendee based on a comparison of the attendee'"'"'s priority score for the at least one previously scheduled event and the attendee'"'"'s priority score for the future event.

14. A system for scheduling events comprising:

computer-readable media storing at least one of social data, spatial data, temporal data and logical data associated with a plurality of attendees derived from information objects (IOs) transmitted between computing devices via at least one communication network;

a prioritization engine that, based on the detection of a request from an event organizer to schedule a future event with a list of attendees including a first attendee, generates a priority score for each attendee of the future event based on the at least one of social data, spatial data, temporal data and logical data; and

a scheduling engine that transmits to the event organizer a list of one or more proposed events determined based on each attendee'"'"'s priority scores for the future event and previously scheduled events.

15. The system of claim 14,

a correlation engine that identifies one or more relationships between the future event, the event organizer and each of the attendees in the list of attendees;

and

wherein the prioritization engine generates a priority score for each attendee in the list of attendees based on the one or more relationships identified by the correlation engine between that attendee and at least one of the future event, the other attendees in the list of attendees and the event organizer.

16. The system of claim 15, wherein the correlation engine identifies the topic of the future event and the priority score for a first attendee is generated at least in part based on a relationship between the first attendee and the topic determined from logical data associated with the first attendee.

17. The system of claim 16 further comprising:

wherein the correlation engine identifies the topic of the future event and the priority score for the first attendee is generated at least in part based on a relationship between the first attendee and the topic determined from logical data associated with the first attendee.

18. The system of claim 16, wherein the correlation engine identifies a physical location associated with the future event and the priority score for the first attendee is generated at least in part based on spatial data associated with the first attendee.

19. The system of claim 16, wherein the priority score for the first attendee is generated at least in part based on a relationship between the first attendee and the event organizer.

20. The system of claim 16, wherein each relationship is assigned a weight and the priority score for the first attendee is generated at least in part based on the relative weights of the relationships between the event organizer, the first attendee, and the topic of the future event determined from data for the event organizer and first attendee stored in the computer-readable media.

21. The system of claim 14, wherein if the priority score for the first attendee is within a predetermined range of priority scores, changing a previously scheduled event for the first attendee and placing a selected one of the proposed events in an electronic calendar associated with the first attendee.

22. A computer-readable medium encoding instructions for performing a method for scheduling a future event, the method comprising:

dynamically identifying one or more relationships between a first event attendee and future event information known about the future event;

based on the identified relationships, generating a priority score for the future event; and

placing the future event on an electronic calendar associated with first event attendee based on the priority score.

23. The computer-readable medium of claim 22, wherein the method further comprises:

retrieving one or more of social data, spatial data, temporal data and logical data obtained from previous communications associated with the first event attendee; and

identifying one or more relationships between the first event attendee and the future event information based on the retrieved one or more of social data, spatial data, temporal data and logical data.

24. The computer-readable medium of claim 23, wherein the previous communications include one or more of an electronic mail message from one email account to another, a voicemail message transmitted via a telephone network, an instant message transmitted to a computing device, and a prior event record.

25. The computer-readable medium of claim 22, wherein the method further comprises:

moving at least one previously scheduled event on the electronic calendar based on a comparison of priority scores of the future event and the at least one previously scheduled event.