TUNING OF RELEVANCY RANKING FOR FEDERATED SEARCH

• US 20100274783A1
• Filed: 07/12/2010
• Published: 10/28/2010
• Est. Priority Date: 06/29/2007
• Status: Active Grant

• Current Assignee: Emc IP Holding Company LLC (Dell Technologies Inc.)
• Original Assignee: EMC Corporation (Dell Technologies Inc.)
• Inventors: Chevalier, Pierre-Yves, Roustant, Bruno
• Granted Patent: US 8,131,716 B2
• Time in Patent Office: Days
• US Class Current: 707/723
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/2471 Distributed queries

Abstract

Determining a relevancy ranking score is disclosed. An indication is received that a relevancy ranking score algorithm is to be tuned to a selected preference. The relevancy ranking score algorithm is updated based at least in part on the selected preference, wherein the relevancy ranking score of a search result resulting from a search query is based at least in part on one or more constraints of the search query.

Claims

1. A system for determining a relevancy ranking score, comprising:

a processor; and

a memory coupled with the processor, wherein the memory is configured to provide the processor with instructions which when executed cause the processor to;

receive an indication of a selection that a relevancy ranking score is to be tuned to a selected preference; and

update a relevancy ranking score algorithm based at least in part on the indication of the selection of the selected preference, wherein the relevancy ranking score of a search result resulting from a search query is based at least in part on one or more constraints of the search query.

2. A system of claim 1, wherein the relevancy ranking score is used to determine a search result ranking for a plurality of search results resulting from the search query.

3. A system of claim 1, further comprising calculating the relevancy ranking score for the is search result based on the updated relevancy score algorithm.

4. A system of claim 1, wherein the relevancy ranking score includes a conditional favoring of a search result with attribute B=‘

Y’

if attribute A=‘

X’

.

5. A system of claim 1, wherein the search result is one of a plurality of search results from a plurality of search sources

6. A system of claim 1, wherein updating the relevancy ranking score algorithm includes adding a constant to an element of the relevancy ranking score algorithm.

7. A system of claim 1, wherein updating the relevancy ranking score algorithm includes a multiplying by a constant an element of the relevancy ranking score algorithm.

8. A system of claim 1, wherein updating the relevancy ranking score algorithm includes adding a function to an element of the relevancy ranking score algorithm.

9. A system of claim 1, wherein updating the relevancy ranking score algorithm includes a multiplying by a function an element of the relevancy ranking score algorithm.

10. A system of claim 1, wherein the relevancy score of a search result is based at least in part on a currency score of the search result.

11. A system of claim 1, wherein the relevancy score of a search result is based at least in part on a clarity score of the search result.

12. A system of claim 1, wherein the relevancy score of a search result is based at least in part on one or more attributes that are synthesized from the search results.

13. A computer program product for determining a relevancy ranking score, the computer program product being embodied in a computer readable medium and comprising computer instructions for:

receiving an indication of a selection that a relevancy ranking score is to be tuned to a selected preference; and

updating a relevancy ranking score algorithm based at least in part on the indication of the selection of the selected preference, wherein the relevancy ranking score of a search result resulting from a search query is based at least in part on one or more constraints of the search query.

14. A method of determining a relevancy ranking score, comprising:

receiving an indication that a relevancy ranking score algorithm is to be tuned to a selected preference; and

updating the relevancy ranking score algorithm based at least in part on the selected preference, wherein the relevancy ranking score of a search result resulting from a search query is based at least in part on one or more constraints of the search query.