Systems and methods for improving the ranking of news articles

• US 9,037,575 B2
• Filed: 12/24/2013
• Issued: 05/19/2015
• Est. Priority Date: 09/16/2003
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Schmitt, Michael, Curtiss, Michael, Bharat, Krishna A.
• Primary Examiner(s): PARDO, THUY N
• Application Number:
  US14/140,108
• Publication Number:
  US 20140188859A1
• Time in Patent Office: 511 Days
• Field of Search: 707/723, 707/727, 707/728, 707/803, 707/694, 707/748, 707/751, 707/753
• US Class Current: 707/723
• CPC Class Codes: G06F 16/2455 Query execution
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/93 Document management systems
• 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 16/9538 Presentation of query results
• CPC Class Codes: Y10S 707/99932 Access augmentation or optimizing
• CPC Class Codes: Y10S 707/99933 Query processing, i.e. searching
• CPC Class Codes: Y10S 707/99937 Sorting
• CPC Class Codes: Y10S 707/99942 Manipulating data structure, e.g. compression, compaction, compilation
• CPC Class Codes: Y10S 707/99943 Generating database or data structure, e.g. via user interface
• CPC Class Codes: Y10S 707/99945 Object-oriented database structure processing

Abstract

A system ranks results. The system may receive a list of links. The system may identify a source with which each of the links is associated and rank the list of links based at least in part on a quality of the identified sources.

Claims

1. A method comprising:

determining, using one or more processors and based on a search query, articles and respective scores for the articles;

identifying, using one or more processors and for an article of the articles, a source with which the article is associated;

determining, using one or more processors, whether a score for the source exists;

obtaining, using one or more processors, the score for the source when the score for the source exists,

the score for the source being determined based on one or more metrics for the source,

the one or more metrics including a metric relating to an evaluation, by one or more users, of the source, and

the one or more metrics for the source being identified from a plurality of metrics for the source; and

adjusting, using one or more processors, the score for the article based on the score for the source.

2. The method of claim 1, further comprising:

identifying the plurality of metrics for the source; and

determining the score for the source based on the plurality of metrics for the source.

3. The method of claim 1, further comprising:

determining an average rank for the source based on a rank of the source for each metric of the one or more metrics for the source,

the score for the source being determined based on the average rank for the source.

4. The method of claim 1, further comprising:

determining a value for the source for each metric, of the one or more metrics for the source, based on a rank of the source for the metric relative to a rank of another source for the metric,

the rank of the other source for the metric exceeding the rank of the source for the metric,

the score for the source being determined based on the value for the source for each metric of the one or more metrics for the source.

5. The method of claim 1, further comprising:

selecting the one or more metrics for the source over one or more other metrics of the plurality of metrics for the source,

a measure quality of the one or more metrics exceeding a measure of quality of the one or more other metrics.

6. The method of claim 1, further comprising:

storing in a data structure;

information identifying the source, and

the score for the source,

where determining whether the score for the source exists includes;

determining whether the score for the source is stored in the data structure, and

where obtaining the score for the source includes;

obtaining the score for the source from the data structure.

7. A non-transitory computer-readable medium including instructions, the instructions comprising:

one or more instructions which, when executed by one or more processors, cause the one or more processors to determine a score for an article based on a search query;

one or more instructions which, when executed by the one or more processors, cause the one or more processors to identify a source with which the article is associated;

one or more instructions which, when executed by the one or more processors, cause the one or more processors to determine that a value for the source exists;

one or more instructions which, when executed by the one or more processors, cause the one or more processors to obtain the value for the source based on determining that the value for the source exists,

the value for the source being determined based on one or more metrics for the source,

the one or more metrics for the source being identified from a plurality of metrics for the source,

the one or more metrics including a metric relating to an evaluation, by one or more users, of the source; and

one or more instructions which, when executed by the one or more processors, cause the one or more processors to adjust the score for the article based on the value for the source.

8. The non-transitory computer-readable medium of claim 7, where the instructions further comprise:

one or more instructions which, when executed by the one or more processors, cause the one or more processors to identify the plurality of metrics for the source.

9. The non-transitory computer-readable medium of claim 7, where the instructions further:

one or more instructions which, when executed by the one or more processors, cause the one or more processors to determine an average rank for the source based on a rank of the source in each metric of the one or more metrics for the source,

the value for the source corresponding to the average rank for the source.

10. The non-transitory computer-readable medium of claim 7, where the instructions further include:

one or more instructions which, when executed by the one or more processors, cause the one or more processors to determine a score for the source for each metric, of the one or more metrics for the source, based on a rank of the source for the metric and a rank of another source for the metric,

the value for the source being determined based on the score for the source for each metric of the one or more metrics for the source.

11. The non-transitory computer-readable medium of claim 7, where the one or more metrics for the source further include a metric relating to a quantity of hyperlinks to a web site of the source.

12. A system comprising:

one or more processors to;

identify an article based on a search query;

identify a source with which the article is associated;

determine that a value for the source exists;

obtain the value for the source based on determining that the value for the source exists,

the value for the source being determined based on one or more metrics for the source,

the one or more metrics including a metric relating to an evaluation, by one or more users, of the source, and

the one or more metrics for the source being selected from a plurality of metrics for the source; and

determine a score for the article based on the value for the source.

13. The system of claim 12, where, when determining the score of the article, the one or more processors are to:

determine an average of the score of the article and the value for the source to obtain the score of the article, or

determine a weighted sum based on the score of the article and the value for the source to obtain the score of the article.

14. The system of claim 12, where the one or more processors are further to:

identify the plurality of metrics for the source;

select the one or more metrics for the source over one or more other metrics of the plurality of metrics for the source; and

determine the value for the source based on the one or more metrics for the source.

15. The system of claim 12, where the one or more processors are further to:

determine an average rank for the source based on a rank of the source for each metric of the one or more metrics for the source,

the value for the source corresponding to the average rank for the source.

16. The system of claim 12, where the one or more processors are further to:

determine a score for the source for each metric, of the one or more metrics for the source, based on a rank of the source for the metric and a rank of another source for the metric,

the value for the source being determined based on the score for the source for each metric of the one or more metrics for the source.

17. The system of claim 12, where a measure quality of the one or more metrics exceeds a measure of quality of one or more other metrics of the plurality of metrics.

18. The system of claim 12, where the one or more processors are further to:

determine the value for the source based on the one or more metrics for the source; and

store in a data structure;

information identifying the source, and

the value for the source.

19. The system of claim 18, where, when determining that the value for the source exists, the one or more processors are to:

determine that the value for the source is stored in the data structure, and where, when obtaining the value for the source, the one or more processors are to;

obtain the value for the source from the data structure.

20. The system of claim 12, where the one or more metrics for the source further include a metric relating to a quantity of hyperlinks to a web site of the source.