Indexing and tag generation of content for optimal delivery of invitational content

• US 8,751,513 B2
• Filed: 08/31/2010
• Issued: 06/10/2014
• Est. Priority Date: 08/31/2010
• Status: Active Grant

• Current Assignee: Apple Inc.
• Original Assignee: Apple Inc.
• Inventors: Priyadarshan, Eswar, Sun, Kenley, Grigorovici, Dan Marius, Vadrevu, Jayasurya
• Primary Examiner(s): Bullock, Joshua
• Application Number:
  US12/873,250
• Publication Number:
  US 20120054209A1
• Time in Patent Office: 1,379 Days
• Field of Search: 707/753, 705/14.4, 705/14.49, 705/14.66
• US Class Current: 707/753
• CPC Class Codes: G06F 16/185 Hierarchical storage management [HSM] systems, e.g. file migration or policies thereof details of archiving G06F16/11
• CPC Class Codes: G06F 16/319 Inverted lists
• CPC Class Codes: G06F 16/9535 Search customisation based on user profiles and personalisation
• CPC Class Codes: G06F 16/986 Document structures and storage, e.g. HTML extensions

Abstract

The present technology is directed to improving the conversion rate of invitational content that is provided to the user of an interactive, content-receiving-and-displaying device. The content of a large number of primary-content sources is analyzed and keyword and/or other context-providing information is extracted from the primary-content sources. The keyword and/or other context-providing information is used to index the primary-content sources into an index according to a hierarchical taxonomy; the hierarchical taxonometric index is used to identify primary-content sources with which a given item of invitational content correlates; and the given item of invitational content is delivered to a user in response to the user accessing a primary-content source with which the given item of invitational content correlates.

Claims

1. A method comprising:

analyzing, by a processor, a first content of a primary-content source to identify at least a first term from the first content determined to be relevant to the primary-content source based on a number of times the first term appears in the first content, wherein analyzing the first content comprises;

text-processing the first content to identify non-extraneous terms;

ignoring extraneous terms determined to carry no meaningful substantive or contextual information;

converting the non-extraneous terms into their base form by eliminating suffixes;

normalizing the non-extraneous terms to lowercase letters; and

determining a number of times each of the non-extraneous terms appears in the first content;

analyzing, by the processor, a second content of an invitational content item to identify at least a second term from the second content determined to be relevant to the invitational content item based on a number of times the second term appears in the second content;

determining, by the processor, that primary-content source and the invitational content item are correlated when the primary-content source is assigned to a first index category in a predetermined hierarchical taxonomy based on the first term and the invitational content item is assigned to the first index category in the predetermined hierarchical taxonomy based the second term; and

when the primary-content source and the invitational content item are correlated, delivering, by the processor, the invitational content item to a user in response to the user accessing the primary-content source.

2. The method of claim 1, wherein the first index category in the predetermined hierarchical taxonomy is associated with at least one target term.

3. The method of claim 2, further comprising:

comparing the first term to the at least one target term associated with the first index category in the predetermined hierarchical taxonomy; and

upon a determination that the at least one target term includes the first term, assigning the primary-content source to the first index category in the predetermined hierarchical taxonomy.

4. The method of claim 2, further comprising:

comparing the second term to the at least one target term associated with the first index category in the predetermined hierarchical taxonomy; and

upon a determination that the at least one target term includes the second term, assigning the invitational content item to the first index category in the predetermined hierarchical taxonomy.

5. The method of claim 1, wherein the first term is the non-extraneous term determined to appear in the first content most frequently.

6. A content delivery system comprising:

a processor; and

a memory containing instructions that, when executed, cause the processor to;

analyze a first content of a primary-content source to identify at least a first term from the first content determined to be relevant to the primary-content source based on a number of times the first term appears in the first content, wherein analyzing the first content comprises;

text-processing the first content to identify non-extraneous terms;

ignoring extraneous terms determined to carry no meaningful substantive or contextual information;

converting the non-extraneous terms into their base form by eliminating suffixes;

normalizing the non-extraneous terms to lowercase letters; and

determining a number of times each of the non-extraneous terms appears in the first content;

analyze a second content of an invitational content item to identify at least a second term from the second content determined to be relevant to the invitational content item based on a number of times the second term appears in the second content;

determine that primary-content source and the invitational content item are correlated when the primary-content source is assigned to a first index category in a predetermined hierarchical taxonomy based on the first term and the invitational content item is assigned to the first index category in the predetermined hierarchical taxonomy based the second term; and

when the primary-content source and the invitational content item are correlated, deliver the invitational content item to a user in response to the user accessing the primary-content source.

7. The content delivery system of claim 6, wherein the first index category in the predetermined hierarchical taxonomy is associated with at least one target term.

8. The content delivery system of claim 7, wherein the instructions further cause the processor to:

compare the first term to the at least one target term associated with the first index category in the predetermined hierarchical taxonomy; and

upon a determination that the at least one target term includes the first term, assign the primary-content source to the first index category in the predetermined hierarchical taxonomy.

9. The content delivery system of claim 7, wherein the instructions further cause the processor to:

compare the second term to the at least one target term associated with the first index category in the predetermined hierarchical taxonomy; and

upon a determination that the at least one target term includes the second term, assign the invitational content item to the first index category in the predetermined hierarchical taxonomy.

10. The content delivery system of claim 6, wherein the second term is the non-extraneous term determined to appear in the second content most frequently.

11. A non-transitory computer-readable medium containing instruction that, when executed by a computing device, cause the computing device to:

analyze a first content of a primary-content source to identify at least a first term from the first content determined to be relevant to the primary-content source based on a number of times the first term appears in the first content, wherein analyzing the first content comprises;

text-processing the first content to identify non-extraneous terms;

ignoring extraneous terms determined to carry no meaningful substantive or contextual information;

converting the non-extraneous terms into their base form by eliminating suffixes;

normalizing the non-extraneous terms to lowercase letters; and

determining a number of times each of the non-extraneous terms appears in the first content;

analyze a second content of an invitational content item to identify at least a second term from the second content determined to be relevant to the invitational content item based on a number of times the second term appears in the second content;

determine that primary-content source and the invitational content item are correlated when the primary-content source is assigned to a first index category in a predetermined hierarchical taxonomy based on the first term and the invitational content item is assigned to the first index category in the predetermined hierarchical taxonomy based the second term; and

when the primary-content source and the invitational content item are correlated, deliver the invitational content item to a user in response to the user accessing the primary-content source.

12. The non-transitory computer-readable medium of claim 11, wherein the first index category in the predetermined hierarchical taxonomy is associated with at least one target term.

13. The non-transitory computer-readable medium of claim 12, wherein the instructions further cause the computing device to:

compare the first term to the at least one target term associated with the first index category in the predetermined hierarchical taxonomy; and

upon a determination that the at least one target term includes the first term, assign the primary-content source to the first index category in the predetermined hierarchical taxonomy.

14. The non-transitory computer-readable medium of claim 12, wherein the instructions further cause the computing device to:

compare the second term to the at least one target term associated with the first index category in the predetermined hierarchical taxonomy; and

upon a determination that the at least one target term includes the second term, assign the invitational content item to the first index category in the predetermined hierarchical taxonomy.

15. The non-transitory computer-readable medium of claim 11, wherein the first term is the non-extraneous term determined to appear in the first content most frequently.