Systems and methods for providing information for predicting desired information and taking actions related to user needs in a mobile device

• US 9,959,508 B2
• Filed: 03/20/2015
• Issued: 05/01/2018
• Est. Priority Date: 03/20/2014
• Status: Active Grant

• Current Assignee: CloudMade Inc. (Valeo SE)
• Original Assignee: CloudMade Inc. (Valeo SE)
• Inventors: Brown, James
• Primary Examiner(s): Chen, Alan S
• Application Number:
  US14/664,350
• Publication Number:
  US 20150294223A1
• Time in Patent Office: 1,138 Days
• Field of Search: None
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: G06N 5/04 Inference or reasoning models

Abstract

Systems and methods for providing inferences for use in prediction algorithms to mobile devices are disclosed. The mobile device detects an event and generates an event record that includes contextual information for the event. The event record is transmitted from the mobile device to a service provider system. The service provider system stores the event record on a cloud storage system. The cloud storage system uses the stored event records to generate inferences. The inferences are then passed to the service provider system. In turn, the service provider system provides the inferences to the proper mobile devices. The mobile devices then use the inference in prediction algorithms to generate prediction information that is used to configure applications provided by the device to operate in accordance with a predicted event.

Claims

1. A mobile device comprising:

memory; and

a processor directed by instructions stored in the memory to;

detect an event in the device wherein an event is an interaction with the device,

obtain contextual information for the event wherein contextual information is based on current information available to the device and indicates an environment of the device at a time of the event,

generate an event record that includes an identifier of the event and the contextual information,

transmit the event record to a service provider system,

receive an inference from the service provider system wherein the inference is generated from event records for the device stored in a cloud storage system by the service provider wherein the inference includes a plurality of alternative events and contextual variables for each of the plurality of alternative events,

obtain current contextual information for the device wherein the current contextual information describes the current environment of the device,

apply the inference and the current contextual information for the device to a prediction engine to generate prediction information wherein the prediction information includes a possible event and an indication of a probability that the possible event will occur, and

provide the prediction information to an application performed by the device wherein the application uses the prediction information to configure the application to operate in accordance with the prediction information based on the possibility that the possible event will occur.

2. The system of claim 1, wherein the contextual information further comprises metadata describing the identity of the user of the device.

3. The system of claim 1, wherein the contextual information further comprises sensor data selected from the group consisting of number of passengers and engine conditions.

4. The system of claim 3, wherein the sensor data is obtained using at least one sensor connected to the device.

5. The system of claim 1, wherein the contextual information is received from a provider system.

6. The system of claim 1, wherein the contextual variables for each of the plurality of alternative events is selected from the group consisting of weather conditions, road conditions, traffic conditions, and points of interest on road networks.

7. The system of claim 1, wherein the processor is further directed to display a user interface comprising a representation generated based on the provided prediction information.

8. The system of claim 7, wherein the generated representation comprises rank information for the provided prediction information.

9. The system of claim 8, wherein the provided prediction information is displayed based on the rank information.

10. The system of claim 1, wherein the mobile device is integrated into the infotainment system of a vehicle.

11. The system of claim 1, wherein the event records comprise a trip event representing movement across space from an origin to a destination.

12. The system of claim 1, wherein the event records comprise a stop event representing an individual leaving a vehicle.

13. The system of claim 12, wherein the stop event further comprises a count of the number of passengers in the vehicle.

14. The system of claim 1, wherein the event records further comprise a timestamp indicating the time at which the event occurred.

15. The system of claim 14, wherein the processor is further directed to build a model of relations between places based on the event records and the timestamps.