Selecting key phrases for serving contextually relevant content

• US 8,073,850 B1
• Filed: 01/18/2008
• Issued: 12/06/2011
• Est. Priority Date: 01/19/2007
• Status: Active Grant

• Current Assignee: Tamiras Per Pte Ltd LLC (Intellectual Ventures LLC)
• Original Assignee: Wordnetworks Incorporated
• Inventors: Hubbard, Sid J A, Steven, Robin
• Primary Examiner(s): SOMERS, MARC S
• Application Number:
  US12/016,887
• Time in Patent Office: 1,418 Days
• Field of Search: 707/736, 707/750, 707/999.002, 707/999.003, 707/999.005, 705/14.4, 705/14.49, 705/14.52, 705/14.54, 705/14.66, 705/14.73
• US Class Current: 707/736
• CPC Class Codes: G06F 16/24575 using context
• CPC Class Codes: G06F 16/24578 using ranking
• CPC Class Codes: G06F 16/33 Querying
• CPC Class Codes: G06F 16/338 Presentation of query results
• CPC Class Codes: G06F 3/04842 Selection of displayed objects or displayed text elements G06F3/0482 takes precedence
• CPC Class Codes: G06F 3/04847 Interaction techniques to control parameter settings, e.g. interaction with sliders or dials
• CPC Class Codes: G06F 40/134 Hyperlinking
• CPC Class Codes: G06F 40/289 Phrasal analysis, e.g. finite state techniques or chunking
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0254 based on statistics
• CPC Class Codes: G06Q 30/0276 Advertisement creation
• CPC Class Codes: G06Q 30/0277 Online advertisement
• CPC Class Codes: G06Q 50/01 Social networking

Abstract

A process is described for assessing the suitability of particular keyword phrases for use in serving contextually relevant content for display on particular web pages. In one embodiment, the process involves determining frequencies of occurrence of particular keyword phrases within a peer group of pages associated with a target URL. Popularity levels of the phrases, as assessed using other sources of information, may also be considered. A process is also disclosed in which selected keyword phrases on a web page are transformed into links that can be selected by a user to view bundled content that is related to such keyword phrases.

Claims

1. A computer-implemented method of selecting one or more key phrases to use to select contextually-relevant content to present, the method comprising:

identifying a key phrase that appears on a web page of a web site;

generating a score for the key phrase based at least in part on view counts of social media content items associated with the key phrase, said social media content items being accessible to users on one or more social media sites that are separate from said web site, wherein generating the score comprises determining, based at least partly on the view counts, whether a rate of consumption of social media content associated with the key phrase is increasing; and

using the score to determine whether to use the key phrase to select contextually-relevant content to present on the web page;

said method performed by a computer system that comprises one or more computers.

2. The method of claim 1, wherein generating the score comprises determining, based at least partly on the view counts, whether a popularity level of the key phrase is increasing.

3. The method of claim 1, wherein the score is generated based at least partly on a measure of a rate at which a popularity level of the key phrase is increasing.

4. The method of claim 1, wherein using the score to determine whether to use the key phrase to select contextually-relevant content to present on the web page comprises comparing the score to scores generated for other key phrases of the web site.

5. The method of claim 1, wherein the social media content items include videos that are available for viewing on at least one social media site.

6. The method of claim 1, wherein the social media content items include photos on at least one social media site.

7. The method of claim 1, wherein the score is additionally based on a frequency of occurrence of the key phrase in a set of peer pages associated with said web page, said peer pages including pages of one or more additional web sites.

8. The method of claim 7, further comprising automatically identifying said set of peer pages, at least in part, by identifying outbound links from, and inbound links to, said web page.

9. The method of claim 1, further comprising automatically using the score to determine whether to convert an occurrence of the key phrase on the web page into a link for displaying related content.

10. The method of claim 9, further comprising responding to user selection of the link by causing content related to the key phrase to be displayed in a panel on the web page, said content including an advertisement associated with the key phrase and non-advertisement social media content associated with the key phrase.

11. The method of claim 10, wherein the social media content includes a thumbnail image of a video on a social media site, said thumbnail image being selectable by a user to view the video in said panel.

12. The method of claim 1, further comprising taking the score into consideration in calculating a CPC (cost per click) amount and/or a CPM (cost per thousand) amount for the key phrase.

13. A system for selecting key phrases for providing context-relevant content to users, comprising:

a computer system comprising one or more computers, said computer system programmed with executable code modules to at least;

identify a key phrase that appears on a page of a publisher site;

generate a score for the key phrase based at least in part on view counts of social media content items associated with the key phrase, said social media content items being accessible to users on one or more social media sites that are separate from the publisher site, wherein the computer system is programmed to generate the score by a process that comprises determining, based at least partly on the view counts, whether a rate of consumption of social media content associated with the key phrase is increasing; and

determine, based at least partly on said score, whether to use, or to suggest use of, the key phrase for selecting contextually-relevant content to present on the publisher site.

14. The system of claim 13, wherein the computer system is programmed to determine, based at least partly on said view counts, a rate at which a popularity level of the key phrase is increasing, and to use said rate as a factor in generating said score.

15. The system of claim 13, wherein the social media content items include videos that are available for viewing on at least one social media site.

16. The system of claim 13, wherein the social media content items include photos on at least one social media site.

17. The system of claim 13, wherein the computer system is programmed to generate the score based additionally on a frequency of occurrence of the key phrase in a set of peer pages associated with said page, said peer pages including pages of one or more additional sites.

18. The system of claim 17, wherein the computer system is programmed to identify the set of peer pages using outbound links from, and inbound links to, said page.

19. The system of claim 13, wherein the computer system is programmed to use the score to determine whether to suggest use of the key phrase for selecting contextually-relevant content to present on the publisher site.

20. The system of claim 13, wherein the computer system is programmed to use the score to determine whether to convert an occurrence of the key phrase on the page into a link for displaying contextually relevant content.

21. The system of claim 20, wherein the computer system comprises a bundle server that is responsive to user selection of the link by causing content related to the key phrase to be displayed in a panel on the page, said content including an advertisement associated with the key phrase and including non-advertisement social media content associated with the key phrase.

22. The system of claim 13, wherein the computer system is additionally programmed to use the score to calculate at least one of (1) a CPC (cost per click) amount for the key phrase, and (2) a CPM (cost per thousand) amount for the key phrase.