METHOD AND SYSTEM FOR IDENTIFYING WEB DOCUMENTS FOR ADVERTISEMENTS

• US 20100125502A1
• Filed: 11/10/2009
• Published: 05/20/2010
• Est. Priority Date: 11/18/2008
• Status: Active Grant

• Current Assignee: Sizmek Technologies Inc (Sizmek, Inc.)
• Original Assignee: PEER 39 Incorporated
• Inventors: Koppel, Moshe, SOLOMON, Amiad
• Granted Patent: US 10,346,879 B2
• Time in Patent Office: Days
• US Class Current: 705/14.520
• CPC Class Codes: G06Q 10/10 Office automation; Time management
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0241 Advertisements
• CPC Class Codes: G06Q 30/0254 based on statistics
• CPC Class Codes: G06Q 30/0269 based on user profile or attribute
• CPC Class Codes: G06Q 30/0277 Online advertisement

Abstract

A method for identifying web documents for presenting an advertisement. The method comprises receiving an advertisement for members of one or more demographic segment, identifying at least one web document with an editing style of an author from the demographic segment and allowing a presentation of the advertisement to at least one visitor of the at least one identified web document.

Claims

1. A method for identifying web documents for presenting an advertisement, comprising:

receiving an advertisement for members of at least one demographic segment;

identifying at least one web document with an editing style indicative of a creator of said at least one demographic segment; and

allowing a presentation of said advertisement to at least one visitor of said at least one identified web document.

2. The method of claim 1, wherein the web documents comprises at least one member of a group consisting of:

a blog, a micro-blogging page, a social network page, a webpage, a video blog, an audio blog, a podcast, a WORD document, a portable document format (PDF) document, an excel spreadsheet document, an extensible markup language (XML) page, a hypertext markup language (HTML) page, and an Internet page.

3. The method of claim 1, wherein each said demographic segment defines a member of a group consisting of:

a gender, a social class, a socio economic class, a native language, a personality characteristic, an education level, an income level, and sociability.

4. The method of claim 1, wherein said identifying comprises identifying at least one demographic profiling marker indicative of said at least demographic segment in respective said web document.

5. The method of claim 4, wherein said at least one demographic profiling marker is a textual feature from the textual content of said at least one web document.

6. The method of claim 5, wherein said identifying comprises estimating the frequency of said textual feature in the textual content of said at least one web document.

7. A method for selecting web documents for presenting an advertisement, comprising:

identifying, for each of a plurality of web documents, a relation to at least one of a plurality of demographic segments;

providing an advertisement for a target audience selected from said plurality of demographic segments;

selecting at least one of said plurality of web documents according to a match between respective said at least one demographic segment and said target audience; and

allowing a presentation of said advertisement to at least one visitor of said at least one selected web document.

8. The method of claim 7, wherein said relation is a relation to an author of a respective said web document.

9. The method of claim 7, wherein said plurality of demographic segments are based on a characteristic of a group consisting of:

a gender, a social class, a socio economic class, a native language, a personality characteristic, an education level, an income level, and sociability.

10. The method of claim 7, wherein said identifying comprises identifying at least one demographic profiling marker indicative of said relation in respective said web document.

11. The method of claim 10, wherein at least one demographic profiling marker comprises at least one textual feature from the textual content of said respective web document.

12. The method of claim 11, wherein said at least one textual feature comprises a member of a group consisting of:

a grammatical error, an orthographic error, morphological language feature, a lexical word selection, a syntactic wording selection, a prosodic wording selection, and a vocabulary.

13. The method of claim 10, wherein at least one demographic profiling marker comprises at least one visual feature from the visual content of said respective web document.

14. The method of claim 10, wherein at least one demographic profiling marker comprises at least one audible feature from the audible content of said respective web document.

15. The method of claim 10, wherein at least one demographic profiling marker comprises the source of respective said web document.

16. The method of claim 10, wherein at least one demographic profiling marker comprises at least one editorial feature from said respective web document.

17. The method of claim 7, wherein said demographic profiling marker is a combination of at least two of a group consisting of:

a textual feature, visual feature, editorial feature, audible feature, and a contextual feature.

18. A system for selecting advertisement spots, comprising:

a content analysis module configured for identifying, for each of a plurality of web documents, a relation to at least one of a plurality of demographic segments;

a receiving unit configured for receiving an advertisement for a target audience selected from said plurality of demographic segments; and

an advertisement spot selector configured for selecting at least one of said plurality of web documents according to a match between respective said at least one demographic segment and said target audience;

wherein said selection allows a presentation of said advertisement to at least one visitor of said at least one selected web document.

19. The system of claim 18, wherein said content analysis module is configured for identifying at least one demographic profiling marker indicative of said relation in respective said web document.

20. The system of claim 18, further comprising a repository comprising a dataset mapping the relation between a plurality of demographic profiling markers and a plurality of editing styles each associated with at least one of said plurality of demographic segments, said content analysis module being configured for performing said identification using said map.

21. The system of claim 18, wherein an author of said at least one selected web document and said target audience are from a common of said plurality of demographic segments.

22. The system of claim 18, wherein said plurality of demographic segments are based on a characteristic of a group consisting of:

a gender, a social class, a socio economic class, income level, income level, a native language, a personality characteristic, an education level, an income level, and sociability.

23. A method for identifying web documents for presenting an advertisement, comprising:

receiving an advertisement for members of at least one demographic segment;

identifying at least one web document with an editing style indented to members of said at least one demographic segment; and

allowing a presentation of said advertisement to at least one visitor of said at least one identified web document.