Method for passive mining of usage information in a location-based services system

• US 20020161627A1
• Filed: 04/26/2002
• Published: 10/31/2002
• Est. Priority Date: 04/27/2001
• Status: Active Grant

• Current Assignee: Angela King Smith, Chad S. Holmes, Eric A. Portman, Michael J. Burgiss, Michael L. Gailey
• Original Assignee: Accenture LLP (Accenture PLC)
• Inventors: Gailey, Michael L., Portman, Eric A., Burgiss, Michael J., Smith, Angela King, Holmes, Chad S.
• Granted Patent: US 6,848,542 B2
• Time in Patent Office: Days
• US Class Current: 705/10
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9537 Spatial or temporal dependent retrieval, e.g. spatiotemporal queries
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0207 Discounts or incentives, e.g. coupons or rebates
• CPC Class Codes: G06Q 30/0242 Determining effectiveness of advertisements
• CPC Class Codes: G06Q 30/0255 based on user history
• CPC Class Codes: G06Q 30/0256 User search
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: G06Q 30/0264 based upon schedule
• CPC Class Codes: G06Q 30/0267 Wireless devices
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0625 Directed, with specific intent or strategy
• CPC Class Codes: G06Q 30/0633 Lists, e.g. purchase orders, compilation or processing
• CPC Class Codes: G06Q 30/0639 Item locations
• CPC Class Codes: G06Q 50/12 Hotels or restaurants
• CPC Class Codes: G10L 15/1822 Parsing for meaning understanding
• CPC Class Codes: G10L 15/26 Speech to text systems G10L15/08 takes precedence
• CPC Class Codes: G10L 15/30 Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
• CPC Class Codes: G10L 2015/228 of application context
• CPC Class Codes: H04L 67/04 : specially adapted for terminals or networks with limited capabilities; specially adapted for terminal portability
• CPC Class Codes: H04L 67/306 : User profiles
• CPC Class Codes: H04L 67/52 : specially adapted for the location of the user terminal
• CPC Class Codes: H04L 67/53 : using third party service providers
• CPC Class Codes: H04M 2201/40 : using speech recognition speech recognition per se G10L15/00
• CPC Class Codes: H04M 2207/18 : wireless networks
• CPC Class Codes: H04M 2242/15 : Information service where the information is dependent on the location of the subscriber
• CPC Class Codes: H04M 2242/30 : Determination of the location of a subscriber
• CPC Class Codes: H04M 3/42204 : Arrangements at the exchange for service or number selection by voice at the terminal H04M1/27
• CPC Class Codes: H04M 3/42348 : Location-based services which utilize the location information of a target
• CPC Class Codes: H04M 3/4936 : Speech interaction details speech recognition per se G10L15/00
• CPC Class Codes: H04W 4/023 : using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
• CPC Class Codes: H04W 4/029 : Location-based management or tracking services
• CPC Class Codes: H04W 4/23 : for mobile advertising

Abstract

A method and system for providing advertising effectiveness searching capabilities, predictive modeling capabilities and usage mining in a location-based services system is disclosed. During operation of the location-based services system, usage information for advertising campaigns placed on the location-based services system is stored. Advertisers are provided with the ability to enter a search request form on a remote terminal to mine the usage information. The search request is then transmitted to an application that searches usage information to generate a response to said search request.

Claims

1. A method for providing advertising effectiveness searching capabilities in a location-based services system, comprising the steps of:

storing usage information for advertising campaigns placed on said location-based services system;

generating a search request form on a remote terminal;

entering a search request into said search request form with said remote terminal;

transmitting said search request to an advertising effectiveness application;

searching said usage information to generate a response to said search request; and

transmitting said response to said remote terminal.

2. The method of claim 1, wherein said usage information is stored in a usage data database.

3. The method of claim 1, wherein said usage information may be selected from a group of information including a time of access, a location of access, an identity of individuals who received a respective advertising campaign, a total number of people who received a respective advertising campaign, a total number of people who responded to a respective advertising campaign, a time and date a respective advertising campaign was run, a product listing for a respective advertising campaign and a service listing for a respective advertising campaign.

4. The method of claim 1, wherein said search request form is generated on a web browser located on said remote terminal.

5. The method of claim 1, wherein a usage analysis user interface application generates said search request form.

6. The method of claim 1, further comprising the step of formatting said response into viewable segments with a data scoring application.

7. The method of claim 1, wherein a usage analysis user interface application is used to transmit said response to said remote terminal.

8. The method of claim 1, wherein said remote terminal is a wireless communication device.

9. A method for providing predictive modeling in a location-based services system, comprising:

creating an advertising campaign with a remote terminal;

transmitting said advertising campaign to a predictive modeling application;

searching a profile data file and a usage data database to generate a predictive model for said advertising campaign; and

transmitting said predictive model to said remote terminal.

10. The method of claim 9, wherein said advertising campaign includes at least one business rule.

11. The method of claim 10, further comprising the step of extracting said at least one business rule with a business rule application.

12. The method of claim 9, wherein a usage analysis user interface application is used to generate said sample advertising campaign.

13. The method of claim 9, wherein said predictive modeling application is located on an advertiser portal connected to said location-based services system.

14. The method of claim 9, wherein said predictive model is formatted in a viewable format using a data scoring application.

15. The method of claim 9, wherein said predictive model is transmitted to said remote terminal using a usage analysis user interface application.

16. The method of claim 9, wherein said remote terminal is a wireless communication device.

18. The method of claim 17, wherein said search request form is generated with a usage analysis user interface application on said advertiser portal.

19. The method of claim 17, further comprising the step of formatting said response into a viewable format with a data scoring application.

20. The method of claim 17, wherein said response is transmitted to said remote terminal with a usage analysis user interface application on said advertiser portal.

21. The method of claim 17, wherein said remote terminal is a wireless communication device.

17. A method for searching usage information in a location-based services system, comprising the steps of:

storing usage information for said location-based services system in a usage data database;

providing an advertiser portal to a remote terminal;

generating a search request form on said remote terminal;

inputting a search request into said search request form using said remote terminal;

transmitting said search request to said advertiser portal;

searching said usage data database to generate a response to said search request; and

transmitting said response to said remote terminal.