Patent
Systems and methods for presenting advertising content based on publisher-selected labels
Alwin Chan,Reiner Kraft +1 more
- 26 Jun 2008
62
TL;DR: In this article, the authors present a system that allows publishers to define relationships between their own content items (e.g., World Wide Web pages) and content items created or maintained by other publishers.
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Abstract: Systems and methods allowing publishers to define relationships between their own content items (e.g., World Wide Web pages) and content items created or maintained by other publishers. Publishers insert referral labels into their content items to indicate a referral relationship between or among publishers. In one embodiment, advertisements to be displayed while the user is viewing a content item are selected based at least in part on matching a referral label included in the target content item to a referral label in the advertisement. The referral label can also be used to manage referral-based revenue sharing among publishers.
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Citations
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Search systems and methods using in-line contextual queries
Reiner Kraft
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TL;DR: In this paper, a system and methods for implementing searches using contextual information associated with a Web page (or other document) that a user is viewing when a query is entered is described.
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Reiner Kraft,Andreas Hartmann,Paulien Strijland +2 more
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TL;DR: In this paper, a system and methods for implementing searches using contextual information associated with a Web page (or other document) that a user is viewing when a query is entered is described.
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Phyllis Reuther,David Kurtz,Michael Connor +2 more
- 26 Oct 2007
TL;DR: In this paper, a computer implemented method for determining relevant advertisements in response to a query is described, which may be realized as a computer-implemented method for finding relevant advertisements.
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TL;DR: In this paper, the authors describe methods and systems for content aggregation and distribution in a plurality of sources, where video content is associated with metadata identifying items included within the video content.
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Contextual Ranking of Keywords Using Click Data
Utku Irmak,Vadim von Brzeski,Reiner Kraft +2 more
- 29 Mar 2009
TL;DR: This paper defines a new feature space to represent the interestingness of concepts, and describes a new approach to estimate their relevancy for a given context, and utilizes click through data obtained from a large scale user-centric entity detection system to train a model to rank the extracted concepts.
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