IP Library Granted Patent US 9,361,369
Granted Patent B1
US 9,361,369 · App. 13/548,930 · Granted Jun 7, 2016

Method and apparatus for clustering news online content based on content freshness and quality of content source

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Quick Facts
Patent No.
US 9,361,369
App. No.
13/548,930
Granted
Jun 7, 2016
Kind
B1
Abstract

Methods and apparatus are described for scoring documents in response, in part, to parameters related to the document, source, and/or cluster score. Methods and apparatus are also described for scoring a cluster in response, in part, to parameters related to documents within the cluster and/or sources corresponding to the documents within the cluster. In one embodiment, the invention may identify the source; detect a plurality of documents published by the source; analyze the plurality of documents with respect to at least one parameter; and determine a source score for the source in response, in part, to the parameter. In another embodiment, the invention may identify a topic; identify a plurality of clusters in response to the topic; analyze at least one parameter corresponding to each of the plurality of clusters; and calculate a cluster score for each of the plurality of clusters in response, in part, to the parameter.

Claims (57)

1. A method comprising:

identifying, by one or more processors, online content,

the online content being associated with a document;

calculating, by one or more processors, a first score for the online content, based on a measure of freshness of the online content,

the online content including content relating to an event, and

the measure of freshness being based on a first time when the event occurred and a second time when the online content was published;

determining, by the one or more processors, a second score for the online content based on a quality of a source that published the online content,

the source being an entity that publishes documents;

ranking, by the one or more processors, the online content based on the first score and the second score; and

providing, by the one or more processors, the ranked online content for display.

2. The method of claim 1 , where the measure of freshness is based on an amount of time between the first time and the second time.

3. The method of claim 1 , where the measure of freshness is based on a frequency in which the source of the online content publishes new online content in a particular time period.

4. The method of claim 1 , where the second score is based on circulation statistics of the source.

5. The method of claim 1 , where the second score is based on a number of views of the online content that occur within a particular time frame.

6. The method of claim 1 , further comprising:

determining whether duplicates of the online content exist that were published before the online content was published by the source; and

calculating the second score after determining whether the duplicates of the online content exist.

7. The method of claim 1 , further comprising:

ranking the source, among other sources, based on the second score.

8. A system comprising:

one or more processors to:

identify online content,

the online content being associated with a document;

calculate a first score for the online content based on a measure of freshness of the online content,

the online content including content relating to an event, and

the measure of freshness being based on a first time when the event occurred and a second time when the online content was published;

determine a second score for the online content based on a quality of a source that published the online content,

the source including an entity that publishes documents;

rank the online content based on the first score and the second score; and

provide the ranked online content for display.

9. The system of claim 8 , where the measure of freshness is based on an amount of time between the first time and the second time.

10. The system of claim 8 , where the measure of freshness is based on a frequency in which the source of the online content publishes new online content in a particular time period.

11. The system of claim 8 , where the second score is based on circulation statistics of the source.

12. The system of claim 8 , where the second score is based on a number of views, of the online content that occur within a particular time frame.

13. The system of claim 8 , where the one or more processors are further to:

determine whether duplicates of the online content exist that were published before the online content was published by the source; and

calculate the second score after determining whether the duplicates of the online content exist.

14. The system of claim 8 , where the one or more processors are further to:

rank the source, among other sources, based on the second score.

15. A non-transitory computer-readable medium storing instructions, the instructions comprising:

one or more instructions that, when executed by one or more processors, cause the one or more processors to:

identify online content,

the online content being associated with a document;

calculate a first score for the online content based on a measure of freshness of the online content,

the online content including content relating to an event, and

the measure of freshness being based on a first time when the event occurred and a second time when the online content was published;

determine a second score for the online content based on a quality of a source that published the online content,

the source including an entity that publishes documents;

rank the online content based on the first score and the second score; and

provide the ranked online content for display.

16. The non-transitory computer-readable medium of claim 15 , where the measure of freshness is based on an amount of time between the first time and the second time.

17. The non-transitory computer-readable medium of claim 15 , where the measure of freshness is based on a frequency in which the source of the online content publishes new online content in a particular time period.

18. The non-transitory computer-readable medium of claim 15 , where the second score is based on circulation statistics of the source.

19. The non-transitory computer-readable medium of claim 15 , where the second score is based on a number of views, of the online content that occur within a particular time frame.

20. The non-transitory computer-readable medium of claim 15 , where the instructions further comprise:

one or more instructions to determine whether duplicates of the online content exist that were published before the online content was published by the source; and

one or more instructions to calculate the second score after determining whether the duplicates of the online content exist.

Assignments (2)
CHANGE OF NAME Recorded Oct 2, 2017
From: GOOGLE INC.
To: GOOGLE LLC
Reel/Frame 044566/0657 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 30, 2016
From: BHARAT, KRISHNA; CURTISS, MICHAEL; SCHMITT, MICHAEL
To: GOOGLE INC.
Reel/Frame 037628/0211 →