Method and system for personalizing content to be delivered to a group factoring into account individual interests of each group member

• US 20030115278A1
• Filed: 12/13/2001
• Published: 06/19/2003
• Est. Priority Date: 12/13/2001
• Status: Abandoned Application

• Current Assignee: Daimler Chrysler Company LLC (Stellantis NV)
• Original Assignee: Daimler Chrysler Company LLC (Stellantis NV)
• Inventors: Goker, Mehmet H.
• Application Number:
  US10/013,836
• Publication Number:
  US 20030115278A1
• Time in Patent Office: Days
• US Class Current: 709/207
• CPC Class Codes: G06F 16/335 Filtering based on additional data, e.g. user or group profiles filtering in web context G06F16/9535, G06F16/9536
• CPC Class Codes: H04L 67/12 specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
• CPC Class Codes: H04L 67/306 User profiles
• CPC Class Codes: H04L 67/55 Push-based network services
• CPC Class Codes: H04L 69/329 in the application layer [OSI layer 7]
• CPC Class Codes: H04L 9/40 Network security protocols

Abstract

A method and system are provided for selecting content personalized for a group of members. The content is characterized by various attributes. Individual interest values of each group member for the various attributes is determined. The individual interest values are then compiled into a virtual group member. The content for the group of members that best fits the virtual group member is selected and delivered to the group of members.

Claims

1. A method of selecting content personalized for a group of members, the content being characterized by various attributes, the method comprising the acts of:

determining individual interest values of each group member for the various attributes;

compiling the individual interest values of each group member into a virtual group member; and

selecting the content for the group of members that best fits the virtual group member.

2. The method according to claim 1, further comprising the act of delivering the selected content to the group of members.

3. The method according to claim 1, wherein the act of compiling comprises the act of:

calculating, from the individual interest values, interest value probabilities for every interest value of each of the various attributes.

4. The method according to claim 3, wherein the act of selecting comprises the act of:

summing the interest value probabilities associated with each of the various attributes for the content to be selected;

normalizing the summed interest value probabilities with respect to the number of attributes for the content to be selected; and

selecting a particular content having the highest normalized probability sum from among the content to be selected.

5. The method according to claim 2, wherein the act of compiling comprises the act of:

calculating, from the individual interest values, interest value probabilities for every interest value of each of the various attributes.

6. The method according to claim 5, wherein the act of selecting comprises the act of:

summing the interest value probabilities associated with each of the various attributes for the content to be selected;

normalizing the summed interest value probabilities with respect to the number of attributes for the content to be selected; and

selecting a particular content having the highest normalized probability sum from among the content to be selected.

7. The method according to claim 2, wherein the act of delivering the selected content further comprises the act of linking multiple content delivery devices together via a communicable instruction display list containing selected content identifiers, each of the multiple content delivery devices displaying the selected content in accordance with the instruction display list.

8. A system for selecting content personalized for a group of members, the content being characterized by various attributes, the system comprising:

means for determining individual interest values of each group member for the various attributes;

means for compiling the individual interest values of each group member into a virtual group member; and

means for selecting the content for the group of members that best fits the virtual group member.

9. The system according to claim 8, further comprising a content delivering device which receives the selected content and is operatively arranged to deliver the selected content to the group of members.

10. The system according to claim 8, wherein the means for compiling comprises means for calculating, from the individual interest values, interest value probabilities for every interest value of each of the various attributes.

11. The system according to claim 10, wherein the means for selecting comprises:

means for summing the interest value probabilities associated with each of the various attributes for the content to be selected;

means for normalizing the summed interest value probabilities with respect to the number of attributes for the content to be selected; and

means for selecting a particular content having the highest normalized probability sum from among the content to be selected.

15. The system according to claim 9, wherein the content delivery device is a billboard, and the group of members comprise vehicle drivers passing the billboard.

12. The system according to claim 91 wherein the content delivery device comprises multiple content delivery devices operatively linked together.

13. The system according to claim 12, further comprising means for handling the content to be delivered by the multiple content delivery devices.

14. The system according to claim 13, wherein the handling means is a display list communicated between the multiple content delivery devices, the display list containing content identifiers.

16. The system according to claim 12, wherein the multiple content delivery devices are billboards, and the group of members comprise vehicle drivers passing the billboards.

17. The system according to claim 14, wherein the multiple content delivery devices are billboards, and the group of members comprise vehicle drivers passing the billboards.