SYSTEM, METHOD, OR APPARATUS FOR CALIBRATING A RELEVANCE SCORE

• US 20100268709A1
• Filed: 04/21/2009
• Published: 10/21/2010
• Est. Priority Date: 04/21/2009
• Status: Abandoned Application

• Current Assignee: Oath Inc. (Verizon Communications Inc.)
• Original Assignee: Yahoo! Inc. (Apollo Global Management, Inc.)
• Inventors: Cozzi, Alex
• Application Number:
  US12/427,570
• Publication Number:
  US 20100268709A1
• Time in Patent Office: Days
• US Class Current: 707/728
• CPC Class Codes: G06F 16/3326 using relevance feedback from the user, e.g. relevance feedback on documents, documents sets, document terms or passages

Abstract

Embodiments of methods, apparatuses, devices and systems associated with calibrating one or more relevance scores are disclosed.

Claims

1. A method comprising:

receiving one or more signals representing one or more relevance scores associated with one or more search results from an electronic communication network;

executing instructions on a special purpose computing apparatus to;

determine a calibration function for a first type of the one or more relevance scores based at least in part on said first type of the one or more relevance scores and/or one or more user rankings of one or more of the search results corresponding to the first type of the one or more relevance scores;

form one or more signals representing calibrated relevance scores for the first type of the one or more relevance scores; and

store the formed one or more signals in a memory device associated with said special purpose computing apparatus.

2. The method of claim 1, and further comprising:

further executing instructions on said special purpose computing apparatus to;

transmit the one or more signals representing the calibrated relevance scores to a computing platform associated with a user via said electronic communications network.

3. The method of claim 1, and further comprising:

further executing instructions on said special purpose computing apparatus to;

determine another calibration function for a second type of the one or more relevance scores based at least in part on said second type of the one or more relevance scores and/or one or more user rankings of one or more of the search results corresponding to the second type of the one or more relevance scores; and

form one or more signals representing calibrated relevance scores for the second type of the one or more relevance scores.

4. The method of claim 3, and further comprising:

further executing instructions on said special purpose computing apparatus to;

determine a combined ranking of the signals representing the calibrated relevance scores of both the first and second types of the one or more relevance scores.

5. The method of claim 1, wherein said determining a calibration function comprises interpolating a curve based at least in part on signals representing the first type of the one or more relevance scores and/or signals representing said one or more user rankings of the one or more documents corresponding to the first type of the one or more relevance scores.

6. The method of claim 5, wherein said forming one or more signals representing a calibrated relevance score comprises determining an adjusted value for the first type of the one or more relevance scores based at least in part on a difference between the determined calibration function for the first type of the one or more relevance scores and values of the first type of the one or more relevance scores.

7. The article of claim 6, wherein said instruction, if executed by said special purpose computing platform, further enable said special purpose computing platform to:

determine said calibration function at least in part by interpolating a curve based at least in part on signals representing one or more user rankings of the one or more documents corresponding to the first type of the one or more relevance scores.

8. The article of claim 6, wherein said instruction, if executed by said special purpose computing platform, further enable said special purpose computing platform to:

form said one or more signals representing said calibrated relevance scores at least in part by comparing said relevance scores to the determined calibration function.

9. The article of claim 8, wherein said instruction, if executed by said special purpose computing platform, further enable said special purpose computing platform to:

determine an adjustment value for the one or more relevance scores based at least in part on a result of said comparing.

10. The article of claim 6, wherein said instruction, if executed by said special purpose computing platform, further enable said special purpose computing platform to:

transmit the one or more signals representing the calibrated relevance scores to a computing platform associated with a user via said electronic communications network.

11. The article of claim 6, wherein said instruction, if executed by said special purpose computing platform, further enable said special purpose computing platform to:

determine another calibration function for a second type of the one or more relevance scores based at least in part on said second type of the one or more relevance scores and/or one or more user rankings of one or more of the documents corresponding to the second type of the one or more relevance scores; and

form one or more signals representing calibrated relevance scores for the second type of the one or more relevance scores.

12. The article of claim 11, wherein said instruction, if executed by said special purpose computing platform, further enable said special purpose computing platform to:

determine a combined ranking of the signals representing the calibrated relevance scores of both the first and second types of the one or more relevance scores.

6-1. An article comprising:

a storage medium having stored thereon instructions that, if executed by a special purpose computing apparatus, enable said special purpose computing apparatus to;

read one or more signals representing one or more relevance scores associated with one or more documents from a memory device;

determine a calibration function for a first type of the one or more relevance scores based at least in part on said first type of the one or more relevance scores and/or one or more user rankings of one or more of the documents corresponding to the first type of the one or more relevance scores;

form one or more signals representing calibrated relevance scores for the first type of the one or more relevance scores; and

store the formed one or more signals in a memory device associated with said special purpose computing apparatus.

13. A system comprising:

a special purpose computing apparatus;

said special purpose computing apparatus comprising a network communication adaptor to receive one or more signals representing one or more relevance scores associated with one or more documents from an electronic communication network;

said special purpose computing apparatus further comprising one or more processors programmed with one or more instructions to;

determine a calibration function for a first type of the one or more relevance scores based at least in part on said first type of the one or more relevance scores and/or one or more user rankings of one or more of the documents corresponding to the first type of the one or more relevance scores;

form one or more signals representing calibrated relevance scores for the first type of the one or more relevance scores; and

store the formed one or more signals in a memory device associated with said special purpose computing apparatus.

14. The system of claim 13, wherein said one or more processors are further programmed to determine said calibration function at least in part by interpolating a curve based at least in part on signals representing one or more user rankings of the one or more documents corresponding to the first type of the one or more relevance scores and one or more smoothing functions.

15. The system of claim 14, wherein said one or more smoothing functions comprise one or more localized smooth interpolator functions.

16. The system of claim 15, wherein said one or more localized smooth interpolator functions comprise one or more spline functions.

17. The system of claim 15, wherein said one or more localized smooth interpolator functions comprise one or more monotonic spline functions at least in part to preserve an original ordering of said one or more documents corresponding to the first type.

18. The system of claim 13, wherein said one or more processors are further programmed to form said one or more signals representing said calibrated relevance scores at least in part by comparing said relevance scores to the determined calibration function.

19. The system of claim 18, wherein said one or more processors are further programmed to determine an adjustment value for the one or more relevance scores based at least in part on a result of said comparing.

20. The system of claim 13, wherein said network communication adaptor is further operable to transmit the one or more signals representing the calibrated relevance scores to a computing platform associated with a user.