A SYSTEM AND METHOD FOR DETERMINING A SEARCH RESPONSE TO A RESEARCH QUERY

• US 20160253424A1
• Filed: 05/29/2014
• Published: 09/01/2016
• Est. Priority Date: 10/16/2013
• Status: Active Grant

• Current Assignee: Direct Cursus Technology LLC
• Original Assignee: Yandex Europe AG (Yandex N.V.)
• Inventors: KARPOVICH, Pavel Alekseevich
• Granted Patent: US 10,445,384 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/284 Relational databases
• CPC Class Codes: G06F 16/93 Document management systems
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9566 URL specific, e.g. using aliases, detecting broken or misspelled links

Abstract

There is provided a method for determining a search response to a search query associated with a user. The method may be executable at a server. The method comprises responsive to a receipt of the search query, determining the most relevant document to the search query; determining a likelihood parameter indicative of how likely the most relevant document is to satisfy the search query; in response to the likelihood being above a threshold, displaying exclusively the most relevant document; in response to the likelihood being below the threshold, displaying the general SERP including the most relevant document and other documents.

Claims

1. A method for determining a search response to a search query associated with a user, the method executable at a server, the method comprising:

responsive to a receipt of the search query, determining the most relevant document to the search query;

determining a likelihood parameter indicative of how likely the most relevant document is to satisfy the search query;

in response to the likelihood parameter being above a threshold, marking the most relevant document for triggering a display of only the most relevant document;

in response to the likelihood parameter being below the threshold, displaying the general SERP including the most relevant document and other documents.

2. The method of claim 1, further comprising ranking search results into a ranked search results.

3. The method of claim 2, wherein said determining the most relevant document comprises selecting a top result in said ranked search results.

4. The method of claim 2, wherein said determining the most relevant document comprises comparing a top result in said ranked search results with the remainder of the ranked search results.

5. The method of claim 4, wherein the comparing a top result comprises calculating a relevancy differential between the top document and the remainder of the documents within the ranked search results set.

6. The method of claim 5, further comprising deducing that said top result is the most relevant document if the relevancy differential is above a predetermined threshold.

7. The method of claim 4, wherein said comparing a top result comprises comparing said top result in said ranked search results with a sub set of search results following said top result within said ranked search results.

8. The method of claim 7, wherein said comparing a top result comprises calculating a relevancy differential between the top document and the sub set of search results following said top result within said ranked search results.

9. The method of claim 8, further comprising deducing that said top result is the most relevant document if the relevancy differential is above a predetermined threshold.

10. The method of claim 4, wherein the comparing a top result comprises comparing a relevancy factor associated with the top document with a document following the top document in the ranked search result set.

11. The method of claim 4, wherein the comparing a top result comprises comparing a relevancy factor associated with the top document with an average of a subset of the remainder of the ranked search result set.

12. The method of claim 6, wherein said determining a likelihood parameter is only executed in response to the relevancy differential being above said pre-determined threshold.

13. The method of claim 6, wherein responsive to the relevancy differential being below the pre-determined threshold, the method further comprises automatically displaying general SERP including the most relevant document and other documents.

14. The method of claim 1, wherein said determining a likelihood parameter comprises analyzing a title field associated with the most relevant document.

16. The method of claim 1, wherein said determining a likelihood parameter comprises analyzing a universal resource locator (URL) associated with the most relevant document.

19. The method of claim 1, wherein said determining a likelihood parameter comprises analyzing a clickability parameter associated with the most relevant document.

20. The method of claim 1, wherein said determining a likelihood parameter comprises executing at least one of:

analyzing a title field associated with the most relevant document.

analyzing a universal resource locator (URL) associated with the most relevant document.

analyzing a clickability parameter associated with the most relevant document.

21. The method of claim 20, wherein said executing comprises executing all three analyzing steps.

15. (canceled)

17. (canceled)

18. (canceled)

22. A server for determining a search response to a search query associated with a user, the server comprising a non-transient computer usable information storage medium storing computer instructions, which instructions when executed, cause the server to execute steps of:

responsive to a receipt of the search query, determining the most relevant document to the search query;

determining a likelihood parameter indicative of how likely the most relevant document is to satisfy the search query;

in response to the likelihood parameter being above a threshold, marking the most relevant document for triggering a display of only the most relevant document;

in response to the likelihood parameter being below the threshold, displaying the general SERP including the most relevant document and other documents.

23-43. -43. (canceled)

44. An electronic device comprising a non-transient computer usable information storage medium storing computer instructions, which instructions when executed, cause the electronic device to execute steps of:

receiving a search query from a user and transmitting the search query to a server, via a communication network;

receiving from the server a trigger, the trigger having been generated by the server by executing the steps of;

responsive to a receipt of the search query, determining by the server the most relevant document to the search query;

determining by the server a likelihood parameter indicative of how likely the most relevant document is to satisfy the search query;

the trigger being instrumental in causing the electronic device;

in response to the likelihood parameter being above a threshold, marking the most relevant document for triggering a display of only the most relevant document;

in response to the likelihood parameter being below the threshold, displaying the general SERP including the most relevant document and other documents.