Suggesting and/or providing ad serving constraint information

• US 9,659,309 B2
• Filed: 05/16/2014
• Issued: 05/23/2017
• Est. Priority Date: 09/24/2002
• Status: Expired due to Term

• Current Assignee: Google LLC (Alphabet Inc.)
• Original Assignee: Google Inc. (Alphabet Inc.)
• Inventors: Dean, Jeffrey A., Buchheit, Paul, Harik, Georges
• Primary Examiner(s): DAYE, CHELCIE L
• Application Number:
  US14/280,276
• Publication Number:
  US 20150012356A1
• Time in Patent Office: 1,103 Days
• Field of Search: 707751, 705 1449, 705 1453
• CPC Class Codes: G06F 16/24565 Triggers; Constraints
• 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 30/0256 User search
• CPC Class Codes: G06Q 30/0261 based on user location
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0277 Online advertisement

Abstract

Targeting information (also referred to as ad “serving constraints”) or candidate targeting information for an advertisement is identified. Targeting information may be identified by extracting topics or concepts from, and/or generating topics or concepts based on, ad information, such as information from a Web page to which an ad is linked (or some other Web page of interest to the ad or advertiser). The topics or concepts may be relevant queries associated with the Web page of interest, clusters, etc.

Claims

1. A method comprising:

identifying, by one or more processing devices, a target document based on information provided by a content provider through a user interface displayed on a computing device, the content provider being a purveyor of content that is distributable electronically;

generating, by the one or more processing devices and based on information associated with the target document and information associated with a separate document that references the target document or that the target document references, a set of distribution terms representing concepts represented in the target document, the distribution terms defining one or more serving constraints comprising one or more conditions limiting distribution of the content, wherein generating the set of distribution terms comprises;

analyzing the information associated with the target document to identify terms representing a first set of concepts related to the target document;

revising the information associated with the target document by supplementing or replacing at least some of the information associated with the target document with at least some of the information from the separate document without revising content within the target document, the at least some of the information from the separate document including additional terms representing a second set of concepts different from the first set of concepts;

analyzing the revised information associated with the target document to identify the additional terms in the revised information; and

selecting, for inclusion in the set of distribution terms and from the terms and the additional terms, at least one of the terms and at least one of the additional terms;

storing, in computer memory and by the one or more processing devices, the generated set of distribution terms; and

distributing the content for inclusion in an additional document that is not the target document in response to the additional document satisfying at least one of the one or more serving constraints.

2. The method of claim 1, wherein the information provided by the content provider comprises a hyperlink in the content provided through the user interface.

3. The method of claim 1, wherein generating the set of distribution terms comprises determining whether the concept appears in the target document greater than a predetermined number of times.

4. The method of claim 1, wherein generating the set of distribution terms comprises determining that the concept corresponds to one of plural terms that is weighted based on a frequency of appearance in the target document.

5. The method of claim 1, wherein generating the set of distribution terms comprises determining that the concept comprises one of plural different concepts that appear more than a threshold number of times.

6. The method of claim 1, wherein generating the set of distribution terms comprises identifying the concept based on metadata associated with the target document.

7. The method of claim 1, wherein generating the set of distribution terms is based on information in search queries that result in a reference to the target document.

8. The method of claim 1, wherein generating the set of distribution terms comprises identifying a predetermined number of queries that result in a reference to the target document and that reference the target document more than one or more other queries that reference the target document.

9. The method of claim 1, further comprising:

identifying additional concepts based on the concepts in the target document, the additional concepts being related to the concepts in the target document;

wherein the one or more serving constraints are based also on the additional concepts.

10. The method of claim 1, wherein the content comprises online advertising, and the additional document comprises one or more Web pages that have at least some subject matter in common with the target document.

11. One or more non-transitory machine-readable storage media storing instructions that are executable by one or more processing devices to perform operations comprising:

identifying, by the one or more processing devices, a target document based on information provided by a content provider through a user interface displayed on a computing device, the content provider being a purveyor of content that is distributable electronically;

generating, by the one or more processing devices and based on information associated with the target document and information associated with a separate document that references the target document or that the target document references, a set of distribution terms representing concepts represented in the target document, the distribution terms defining one or more serving constraints comprising one or more conditions limiting distribution of the content, wherein generating the set of distribution terms comprises;

analyzing the information associated with the target document to identify terms representing a first set of concepts related to the target document;

revising the information associated with the target document by supplementing or replacing at least some of the information associated with the target document with at least some of the information from the separate document without revising content within the target document, the at least some of the information from the separate document including additional terms representing a second set of concepts different from the first set of concepts;

analyzing the revised information associated with the target document to identify the additional terms in the revised information; and

selecting, for inclusion in the set of distribution terms and from the terms and the additional terms, at least one of the terms and at least one of the additional terms;

storing, in computer memory and by the one or more processing devices, the generated set of distribution terms; and

distributing the content for inclusion in an additional document that is not the target document in response to the additional document satisfying at least one of the one or more serving constraints.

12. The one or more non-transitory machine-readable storage media of claim 11, wherein the information provided by the content provider comprises a hyperlink in the content provided through the user interface.

13. The one or more non-transitory machine-readable storage media of claim 11, wherein generating the set of distribution terms comprises determining whether the concept appears in the target document greater than a predetermined number of times.

14. The one or more non-transitory machine-readable storage media of claim 11, wherein generating the set of distribution terms comprises determining that the concept corresponds to one of plural terms that is weighted based on a frequency of appearance in the target document.

15. The one or more non-transitory machine-readable storage media of claim 11, wherein generating the set of distribution terms comprises determining that the concept comprises one of plural different concepts that appear more than a threshold number of times.

16. The one or more non-transitory machine-readable storage media of claim 11, wherein generating the set of distribution terms comprises identifying the concept based on metadata associated with the target document.

17. The one or more non-transitory machine-readable storage media of claim 11, wherein generating the set of distribution terms is based on information in search queries that result in a reference to the target document.

18. The one or more non-transitory machine-readable storage media of claim 11, wherein generating the set of distribution terms comprises identifying a predetermined number of queries that result in a reference to the target document and that reference the target document more than one or more other queries that reference the target document.

19. The one or more non-transitory machine-readable storage media of claim 11, wherein the operations comprise:

identifying additional concepts based on the concepts in the target document, the additional concepts being related to the concepts in the target document;

wherein the one or more serving constraints are based also on the additional concepts.

20. The one or more non-transitory machine-readable storage media of claim 11, wherein the content comprises online advertising, and the additional document comprises one or more Web pages that have at least some subject matter in common with the target document.