APPLICATION OF MOBILE DEVICES FOR EVENT DATA

• US 20140379431A1
• Filed: 09/12/2013
• Published: 12/25/2014
• Est. Priority Date: 06/19/2013
• Status: Abandoned Application

• Current Assignee: Lenovo Enterprise Solutions (Singapore) Pte., Ltd. (Lenovo Group Ltd.)
• Original Assignee: International Business Machines Corporation
• Inventors: Kritt, Barry A., Rakshit, Sarbajit K.
• Application Number:
  US14/025,091
• Publication Number:
  US 20140379431A1
• Time in Patent Office: Days
• US Class Current: 705/7.34
• CPC Class Codes: G06Q 30/0252 based on events or environment, e.g. weather or festivals
• CPC Class Codes: H04W 4/021 Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
• CPC Class Codes: H04W 4/029 Location-based management or tracking services

Abstract

Predicting a future behavior through extraction of data from a mobile device within a geo-coordinate boundary. A geo-coordinate boundary of a geographic locale is ascertained. The geo-coordinate boundary may be defined according to a detected or known event. Data associated with a mobile device is gathered within the ascertained geo-coordinate boundary, the data including demographic information associated with the mobile device. The data is gathered and analyzed such that at least one common trait among the data is identified. A future behavior is predicted based on the identified common trait(s), wherein the future behavior may include predicating traffic based on a mobile device user leaving the geo-coordinate boundary, or purchasing behavior of a mobile device user.

Claims

1. A method comprising:

ascertaining a geo-coordinate boundary of a geographic locale;

gathering data associated with a mobile device within the ascertained geo-coordinate boundary, the gathered data including demographic information associated with the mobile device;

analyzing the gathered data; and

predicting a future behavior based on at least one characteristic associated with the demographic information.

2. The method of claim 1, further comprising gathering data for an event within the boundary and wherein the predicted future behavior is sensitive to the event.

3. The method of claim 2, further comprising predicting traffic associated with the event and the boundary responsive to the received demographic information.

4. The method of claim 1, wherein the future behavior is predicted purchasing behavior based on the demographic information.

5. The method of claim 4, further comprising targeting advertising to the mobile device during an event within the boundary and based on the predicted purchasing behavior.