Identifying comments to show in connection with a document

• US 8,656,266 B2
• Filed: 12/18/2008
• Issued: 02/18/2014
• Est. Priority Date: 12/18/2008
• Status: Active Grant

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Cierniak, Michal
• Primary Examiner(s): Paula, Cesar
• Assistant Examiner(s): Schallhorn, Tyler J
• Application Number:
  US12/338,166
• Publication Number:
  US 20100162093A1
• Time in Patent Office: 1,888 Days
• Field of Search: 705/14.6, 715/206, 715/231, 707/726
• US Class Current: 715/206
• CPC Class Codes: G06F 16/951 Indexing; Web crawling techniques
• CPC Class Codes: G06F 40/134 Hyperlinking

Abstract

A system may identify a comment that includes a number of links, each of the links points to a corresponding document; identify one or more factors associated with each of the links, the one or more factors including at least one of: a click through rate associated with the links, explicit user feedback regarding the links, a length of an address associated with the links, a measure of popularity associated with the document corresponding to the links, or a comparison of a topic associated with the comment and a topic associated with the document corresponding to the links; assign a score to the links based on the one or more factors; select one of the links based on the assigned scores; and provide information regarding the comment to a client device for presentation in connection with presentation of the document corresponding to the selected link.

Claims

1. A method performed by one or more devices, the method comprising:

identifying, by the one or more devices, a group of comments;

determining, by the one or more devices, that a first comment, of the group of comments, does not include a plurality of links pointing to a plurality of different documents;

removing, by the one or more devices, the first comment from the group of comments based on the first comment not including the plurality of links pointing to the plurality of different documents;

identifying, by the one or more devices, a second comment, of the group of comments, that includes;

a first link pointing to a first document, and

a second link pointing to a second document that is different from the first document;

identifying, by the one or more devices and based on the second comment including the first link pointing to the first document and the second link pointing to the second document, a first click through rate associated with the first link and a second click through rate associated with the second link;

determining, by the one or more devices, that a content of the second comment is more closely related to a content of the first document than to a content of the second document based on the first click through rate and the second click through rate;

determining, by the one or more devices, to associate the second comment with the first document and not to associate the second comment with the second document based on the content of the second comment being more closely related to the content of the first document than to the content of the second document;

storing, by the one or more devices, information that associates the second comment with the first document; and

providing, by the one or more devices, information regarding the second comment to a client device for presentation in connection with presentation of the first document.

2. The method of claim 1, further comprising:

identifying a plurality of comments associated with the first document,

where the second comment is one of the plurality of comments; and

selecting one or more of the plurality of comments to present in connection with the presentation of the first document.

3. The method of claim 2, where selecting one or more of the plurality of comments includes:

analyzing a language used within one of the plurality of comments,

assigning a score to the one of the plurality of comments based on the language used in the one of the plurality of comments, and

selecting the one of the plurality of comments based on the assigned score.

4. The method of claim 2, where selecting one or more of the plurality of comments includes:

identifying a ranking score associated with a document from which one of the plurality of comments originated,

assigning a score to the one of the plurality of comments based on the ranking score associated with the document from which the one of the plurality of the comments originated, and

selecting the one of the plurality of comments based on the assigned score.

5. The method of claim 2, where selecting one or more of the plurality of comments includes:

identifying a ranking score associated with an author corresponding to one of the plurality of comments,

assigning a score to the one of the plurality of comments based on the ranking score associated with the author corresponding to one of the plurality of comments, and

selecting the one of the plurality of comments based on the assigned score.

6. The method of claim 2, where selecting one or more of the plurality of comments includes:

obtaining implicit user feedback associated with one of the plurality of comments,

assigning a score to the one of the plurality of comments based on the implicit user feedback associated with the one of the plurality of the comments, and

selecting the one of the plurality of comments based on the assigned score.

7. The method of claim 2, where selecting one or more of the plurality of comments includes:

obtaining information regarding an age of one of the plurality of comments,

assigning a score to the one of the plurality of comments based on the age of the one of the plurality of the comments, and

selecting the one of the plurality of comments based on the assigned score.

8. The method of claim 2, further comprising:

storing information that associates the one or more of the plurality of comments with the first document.

9. The method of claim 8, where providing the information regarding the second comment to the client device includes providing information regarding the one or more of the plurality of comments to the client device for presentation in connection with the presentation of the first document.

10. The method of claim 1, further comprising:

identifying a link-based score associated with each of a plurality of comments associated with the first document,

the plurality of comments including the second comment,

assigning a score to each of the plurality of comments based on the associated link-based score, and

selecting the second comment from the plurality of comments based on assigning the score; and

where providing the information regarding the second comment includes;

providing the information regarding the second comment based on selecting the second comment from the plurality of comments.

11. The method of claim 1, further comprising:

obtaining explicit user feedback associated with the second comment; and

where determining that the content of the second comment is more closely related to the content of the first document than to the content of the second document includes;

determining that the content of the second comment is more closely related to the content of the first document than to the content of the second document further based on the explicit user feedback.

12. One or more devices, comprising:

means for identifying a group of comments;

means for determining that a first comment, of the group of comments, does not include a plurality of links pointing to a plurality of different documents;

means for removing the first comment from the group of comments based on the first comment not including the plurality of links pointing to the plurality of different documents;

means for identifying a second comment that includes;

a first link pointing to a first document, and

a second link pointing to a second document that is different than the first document;

means for identifying one or more factors associated with the first link,

the one or more factors associated with the first link including at least one of;

a click through rate associated with the first link,

explicit user feedback regarding the first link,

a length of an address associated with the first link,

a measure of popularity associated with the first document, or

a comparison of a topic associated with the second comment and a topic associated with the first document;

means for identifying one or more factors associated with the second link,

the one or more factors associated with the second link including at least one of;

a click through rate associated with the second link,

explicit user feedback regarding the second link,

a length of an address associated with the second link,

a measure of popularity associated with the second document, or

a comparison of the topic associated with the second comment and a topic associated with the second document;

means for assigning a score to the first link based on the one or more factors associated with the first link;

means for assigning a score to the second link based on the one or more factors associated with the second link;

means for associating the second comment with one of the first document or the second document based on the score assigned to the first link and the score assigned to the second link,

the second comment being associated with the first document when the score assigned to the first link is greater than the score assigned to the second link, and

the second comment being associated with the second document when the score assigned to the second link is greater than the score assigned to the first link; and

means for providing information regarding the second comment to a client device for presentation in connection with presentation of the first document or the second document,

the information regarding the second comment being provided in connection with the first document when the second comment is associated with the first document, and

the information regarding the second comment being provided in connection with the second document when the second comment is associated with the second document.

13. The one or more devices of claim 12, further comprising:

means for storing information that associates the second comment with the first document when the second comment is associated with the first document and information that associates the second comment with the second document when the second comment is associated with the second document.

14. The one or more devices of claim 12, where the second comment is associated with the first document, the method further comprising:

means for identifying a plurality of comments associated with the first document, where the second comment is one of the plurality of comments; and

means for selecting one or more of the plurality of comments to present in connection with the presentation of the first document.

15. The one or more devices of claim 14, where the means for selecting the one or more of the plurality of comments includes:

means for assigning a score to one of the plurality of comments based on at least one of;

a link-based score associated with the one of the plurality of comments,

explicit user feedback associated with the one of the plurality of comments,

a language used within the one of the plurality of comments,

a ranking score associated with a document from which the one of the plurality of comments originated,

a ranking score associated with an author corresponding to the one of the plurality of comments,

implicit user feedback associated with the one of the plurality of comments, or

information regarding an age of the one of the plurality of comments, and means for selecting the one of the plurality of comments based on the assigned score.

16. The one or more devices of claim 12, where the means for providing the information regarding the second comment to the client device includes:

means for receiving, from the client device, a request for comments, and

means for providing, to the client device, the information regarding the second comment based on the received request.

17. A non-transitory computer-readable medium containing instructions executable by one or more devices, the instructions comprising:

one or more instructions that, when executed by the one or more devices, cause the one or more devices to;

identify a group of comments;

determine that a first comment, of the group of comments, does not include a plurality of links pointing to a plurality of different documents;

remove the first comment from the group of comments based on the first comment not including the plurality of links pointing to the plurality of different documents;

identify a second comment that includes the plurality of links,

the plurality of links including;

a first link pointing to a first document, and

a second link pointing to a second document that is different from the first document;

identify one or more factors associated with the first link,

where the one or more factors associated with the first link include at least one of;

a click through rate associated with the first link,

explicit user feedback regarding the first link,

a length of an address associated with the first link,

a measure of popularity associated with the first document, or

a comparison of a topic associated with the second comment and a topic associated with the first document;

identify one or more factors associated with the second link,

where the one or more factors associated with the second link include at least one of;

a click through rate associated with the second link,

explicit user feedback associated with the second link,

a length of an address associated with the second link,

a measure of popularity associated with the second document, or

a comparison of the topic associated with the second comment and a topic associated with the second document;

determine that the second comment is more relevant to the first document than to the second document based on the one or more factors associated with the first link;

associate the second comment with the first link based on the second comment being more relevant to the first document than to the second document;

determine not to associate the second comment with the second link based on the second comment being more relevant to the first document than to the second document; and

store information that associates the second comment with the first document.

18. The non-transitory computer-readable medium of claim 17, where the one or more factors associated with the first link include the click through rate associated with the first link;

and

where the one or more instructions to determine to associate the second comment with the first document include one or more instructions to determine to associate the second comment with the first document based on the click through rate associated with the first link.

19. The non-transitory computer-readable medium of claim 17, where the one or more factors associated with the first link include the explicit user feedback regarding the first link;

and

where the one or more instructions to determine to associate the second comment with the first document include one or more instructions to determine to associate the second comment with the first document based on the explicit user feedback regarding the first link.

20. The non-transitory computer-readable medium of claim 17, where the one or more factors include the length of the address associated with the first link;

and

where the one or more instructions to determine to associate the second comment with the first document include one or more instructions to determine to associate the second comment with the first document based on the length of the address associated with the first link.

21. The non-transitory computer-readable medium of claim 17, where the one or more factors associated with the first link include the measure of popularity associated with the first document;

and

where the one or more instructions to determine that the second comment is more relevant to the first document than to the second document include;

one or more instructions to determine that the second comment is more relevant to the first document than to the second document based on the measure of popularity associated with the first document.

22. The non-transitory computer-readable medium of claim 17, where the one or more factors associated with the first link include the comparison of the topic associated with the second comment and the topic associated with the first document;

and

where the one or more instructions to determine to associate the second comment with the first document include;

one or more instructions to identify the topic associated with the second comment,

one or more instructions to identify the topic associated with the first document,

one or more instructions to compare the topic associated with the second comment with the topic associated with the first document, and

one or more instructions to determine to associate the second comment with the first document based on a result of the comparison of the topic associated with the second comment with the topic associated with the first document.

23. A method performed by one or more devices, the method comprising:

identifying, by the one or more devices, a plurality of comments;

determining, by the one or more devices, that a first comment, of the plurality of comments, does not include a plurality of links pointing to a plurality of different documents;

removing, by the one or more devices and based on the first comment not including the plurality of links pointing to the plurality of different documents, the first comment from the plurality of comments to form a group of comments;

identifying, by the one or more devices, a second comment, of the group of comments, that includes a first link to a first document and a second link to a second document that is different than the first document;

determining, by the one or more devices, that the second comment is more relevant to the first document than the second comment is to the second document;

determining, by the one or more devices, to associate the second comment with the first document and to not associate the second comment with the second document based on determining that the second comment is more relevant to the first document than the second comment is to the second document;

storing information that associates the group of comments with the first document;

identifying one or more factors associated with one comment of the group of comments,

the one or more factors including at least one of;

a link-based score associated with the one comment of the group of comments,

explicit user feedback associated with the one comment of the group of comments,

a language used within the one comment of the group of comments,

a ranking score associated with a document from which the one comment of the group of comments originated,

a ranking score associated with an author corresponding to the one comment of the group of comments,

implicit user feedback associated with the one comment of the group of comments, or

information regarding an age of the one comment of the group of comments;

assigning a score to the one comment of the group of comments based on the one or more factors;

selecting the one comment of the group of comments based on the assigned score; and

providing information regarding the one comment of the group of comments for presentation, on a display, in connection with presentation of the first document.

24. The method of claim 23, where the one or more factors include the link-based score associated with the one comment of the group of comments;

and

where assigning the score to the one comment of the group of comments includes assigning the score to the one comment of the group of comments based on the associated link-based score.

25. The method of claim 23, where the one or more factors include the explicit user feedback associated with the one comment of the group of comments;

and

where assigning the score to the one comment of the group of comments includes assigning the score to the one comment of the group of comments based on the associated explicit user feedback.

26. The method of claim 23, where the one or more factors include the language used within the one comment of the group of comments;

and

where assigning the score to the one comment of the group of comments includes assigning the score to the one comment of the group of comments based on the language used in the one comment of the group of comments.

27. The method of claim 23, where the one or more factors include the ranking score associated with the document from which one comment of the group of comments originated;

and

where assigning the score to the one comment of the group of comments includes assigning the score to the one comment of the group of comments based on the ranking score associated with the document from which the one comment of the group of the comments originated.

28. The method of claim 23, where the one or more factors include the ranking score associated with the author associated with the one comment of the group of comments;

and

where assigning the score to the one comment of the group of comments includes assigning the score to the one comment of the group of comments based on the ranking score associated with the author associated with one comment of the group of comments.

29. The method of claim 23, where the one or more factors include the implicit user feedback associated with the one comment of the group of comments;

and

where assigning the score to the one comment of the group of comments includes assigning the score to the one comment of the group of comments based on the implicit user feedback associated with the one comment of the group of the comments.

30. The method of claim 23, where the one or more factors include the information regarding the age of the one comment of the group of comments;

and

where assigning the score to the one comment of the group of comments includes assigning the score to the one comment of the group of comments based on the age of the one comment of the group of the comments.