SYSTEMS AND METHODS FOR SORTING SEARCH RESULTS

• US 20110173212A1
• Filed: 03/18/2011
• Published: 07/14/2011
• Est. Priority Date: 11/22/2004
• Status: Active Grant

• Current Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Original Assignee: Meta Platforms, Inc. (f/k/a Facebook, Inc.)
• Inventors: Kocks, Peter F., Beguelin, Adam L., Tuttle, Timothy D.
• Granted Patent: US 8,463,778 B2
• Time in Patent Office: Days
• US Class Current: 707/752
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/284 Relational databases
• CPC Class Codes: G06F 16/338 Presentation of query results
• CPC Class Codes: G06F 16/438 Presentation of query results
• CPC Class Codes: G06F 16/735 Filtering based on additional data, e.g. user or group profiles
• CPC Class Codes: G06F 16/738 Presentation of query results
• CPC Class Codes: G06F 16/783 using metadata automatically derived from the content
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/9536 Search customisation based on social or collaborative filtering
• CPC Class Codes: G06F 16/9538 Presentation of query results
• CPC Class Codes: Y10S 707/914 Video
• CPC Class Codes: Y10S 707/99931 Database or file accessing
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching
• CPC Class Codes: Y10S 707/99937 Sorting

Abstract

A computer-implemented method is provided for ranking files from an Internet search. In one embodiment, the method comprises assigning a score to each file based on at least one of the following factors: recency, editorial popularity, clickthru popularity, favorites metadata, or favorites collaborative filtering. The file may be organized based on the assigned scores to provide users with more accurate search results.

Claims

1. A system comprising:

a computer configured to sort search result items based on a first clickthru popularity for each search result item and a second clickthru popularity for each search result item;

the first clickthru popularity for each search result item being derived from a first number of clickthrus for the search result item that occurred during a first time period;

the second clickthru popularity for each search result item being derived from a second number of clickthrus for the search result item that occurred during a second time period that is different from the first time period.

2. The system as recited in claim 1, wherein the first clickthru popularity for each search result item is further derived from a first weight that is applied to the first number of clickthrus for the search result item that occurred during the first time period;

and wherein the second clickthru popularity for each search result item is further derived from a second weight that is applied to the second number of clickthrus for the search result item that occurred during the second time period, the second weight being different from the first weight.

3. The system as recited in claim 1, wherein the first time period is about an hour long;

and wherein the second time period is about a day long.

4. The system as recited in claim 1, wherein the first time period is about a minute long;

and wherein the second time period is about a day long.

5. The system as recited in claim 1, wherein the first time period is about a minute long;

and wherein the second time period is about an hour long.

6. The system as recited in claim 1, wherein the first time period is smaller than the second time period.

7. The system as recited in claim 1, wherein the first time period at least partially overlaps with the second time period.

8. The system as recited in claim 1, wherein the first time period occurs completely within the second time period.

9. The system as recited in claim 1, wherein the first time period does not overlap with the second time period.

10. A method comprising:

by a computer;

sorting search result items based on a first clickthru popularity for each search result item and a second clickthru popularity for each search result item;

the first clickthru popularity for each search result item being derived from a first number of clickthrus for the search result item that occurred during a first time period;

the second clickthru popularity for each search result item being derived from a second number of clickthrus for the search result item that occurred during a second time period that is different from the first time period.

11. The method as recited in claim 10, wherein the first clickthru popularity for each search result item is further derived from a first weight that is applied to the first number of clickthrus for the search result item that occurred during the first time period;

and wherein the second clickthru popularity for each search result item is further derived from a second weight that is applied to the second number of clickthrus for the search result item that occurred during the second time period, the second weight being different from the first weight.

12. The method as recited in claim 10, wherein the first time period is about an hour long;

and wherein the second time period is about a day long.

13. The method as recited in claim 10, wherein the first time period is about a minute long;

and wherein the second time period is about a day long.

14. The method as recited in claim 10, wherein the first time period is about a minute long;

and wherein the second time period is about an hour long.

15. The method as recited in claim 10, wherein the first time period is smaller than the second time period.

16. The method as recited in claim 10, wherein the first time period at least partially overlaps with the second time period.

17. The method as recited in claim 10, wherein the first time period occurs completely within the second time period.

18. The method as recited in claim 10, wherein the first time period does not overlap with the second time period.