Sunday, July 31, 2005

Google's Embedding advertisements in syndicated content

Google's US appl 20050165615 is entitled Embedding advertisements in syndicated content and has first claim

A method of generating information including targeted ads, the method comprising:
receiving information in a syndicated format;
receiving a first targeted ad from an automated ad server system; combining the first targeted ad with the received information to generate a set of response information which is also in a syndicated format.

Claim 38 states:

A method of generating information and at least one targeted ad in a syndicated content format for presentation to a user, the syndicated content format, the method comprising: receiving an feed responsive to a user request, said feed including a list of items, said list including for each item in the list a title and a URL; receiving at least one targeted ad selected using an automated selection technique to be presented to said user with said RSS feed; and combining the responsive feed and the at least one targeted ad to generate a set of response information in said syndicated content format.

Paragraph 6 mentions:

Search engines, such as Google for example, have enabled advertisers to target their ads so that they will be rendered with search results pages presented in HTML format. The targeted advertisements are selected in an automated manner so that they will be relevant, presumably, to the query that prompted the search results page. Other targeted advertising systems or those that target ads based on content (see, e.g., U.S. patent application Ser. No. 10/375,900 (incorporated herein by reference), titled "SERVING ADVERTISEMENTS BASED ON CONTENT," filed on Feb. 26, 2003 and listing Darrell Anderson, Paul Bucheit, Alex Carobus, Claire Cui, Jeffrey A. Dean, Georges R. Harik, Deepak Jindal, and Narayanan Shivakumar as inventors) may be designed to confront similar challenges, i.e., the selection of advertisements that are relevant to the user requested information in general, and related to the current user interest in particular.

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