Optimizing retrieval of object-associated information

• US 8,266,019 B2
• Filed: 12/22/2004
• Issued: 09/11/2012
• Est. Priority Date: 12/22/2004
• Status: Active Grant

• Current Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Bhatti, Nina, Lyons, Nicholas, Schettino, John C. Jr.
• Primary Examiner(s): Zeender, F.
• Assistant Examiner(s): Haider, Fawaad
• Application Number:
  US11/017,772
• Publication Number:
  US 20060149635A1
• Time in Patent Office: 2,820 Days
• Field of Search: 705/28
• US Class Current: 705/28
• CPC Class Codes: G06Q 10/08 Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
• CPC Class Codes: G06Q 20/208 Input by product or record sensing, e.g. weighing or scanner processing

Abstract

A method of optimizing the retrieval of object-associated information may include identifying data associated with an object identification. At least one optimization parameter for the retrieval of data associated with an object identification is also identified. An amount of the associated data for transmission is determined using the at least one optimization parameter.

Claims

1. A computer readable medium on which is embedded one or more computer programs, said one or more computer programs implementing a method of optimizing retrieval of object-associated information from a server to a device, said one or more computer programs comprising a set of instructions for:

identifying data associated with an object identification received from the device;

identifying at least one optimization parameter associated with transmission of the data associated with the object identification to the device; and

determining an amount of the data associated with the object identification to transmit to the device using the at least one optimization parameter.

2. The computer readable medium of claim 1, wherein identifying data associated with an object identification further comprises identifying data associated with a unique identification of an object.

3. The computer readable medium of claim 2, further comprising a set of instructions for identifying data associated with a radio frequency identification tag for the object.

4. The computer readable medium of claim 1, wherein identifying data associated with an object identification further comprises identifying data associated with at least one of a UPC symbol and an Electronic Product Code.

5. The computer readable medium of claim 1, wherein identifying at least one optimization parameter further comprises identifying at least one of bandwidth, available memory capacity of the user device, cost of data transfer, and latency of data transfer.

6. The computer readable medium of claim 1, wherein determining an amount of the associated data to transmit using the at least one optimization parameter further comprises:

identifying a threshold of the at least one optimization parameter; and

selecting the amount of data such that the threshold is not exceeded.

7. The computer readable medium of claim 1, wherein determining an amount of the associated data to transmit using the at least one optimization parameter further comprises:

storing the associated data in a tree structure;

identifying a leaf within the tree structure, wherein the leaf represents data associated with the object identification;

determining a point up the tree structure from the leaf based on the at least one optimization parameter; and

retrieving the associated data in the tree structure from the point to the leaf.

8. The computer readable medium of claim 7, wherein identifying a leaf within the tree structure further comprises:

receiving user input; and

selecting additional associated data from the tree structure based on the user input.

9. The computer readable medium of claim 1, wherein determining an amount of the associated data to transmit using the at least one optimization parameter further comprises:

determining an amount of the associated data to transmit based on predetermined user preferences.

10. The computer readable medium of claim 1, wherein transmitting the associated data further comprises transmitting at least one of a calculated amount, a predetermined amount based on user preferences, an amount determined by a server, an amount determined by a content provider, and a default amount.

11. The computer readable medium of claim 1, further comprising a set of instructions for identifying additional data associated with the object identification from at least one menu.

12. The computer readable medium of claim 1, further comprising a set of instructions for:

reading the object identification with a user device; and

transmitting the associated data to the user device.

13. The computer readable medium of claim 1, wherein the one or more computer programs further comprise a set of instructions for:

transmitting the associated data in the amount determined to the device.

14. The computer readable medium of claim 1, wherein the one or more computer programs further comprise a set of instructions for:

receiving the object identification from an individual associated with the device;

gathering data associated with the individual from which the object identification was received; and

wherein identifying data associated with the object identification received from the device further comprises identifying data associated with the individual.

15. The computer readable medium of claim 14, wherein the one or more computer programs further comprise a set of instructions for:

transmitting the associated data to the device.

16. The computer readable medium of claim 14, wherein gathering data associated with an individual further comprises a set of instructions for:

observing at least one type of behavior of the individual submitting the request; and

collecting data based on the at least one type of observed behavior.

17. The computer readable medium of claim 14, wherein gathering data associated with an individual further comprises a set of instructions for:

learning information about the individual; and

collecting data based on the information learned.