Quality based pricing and ranking for online ads

作者: Jody D. Biggs , Asela J. Gunawardana , Jesper B. Lind , Christopher A. Meek

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摘要: A “Quality-Based Ad Pricer” prices ads as a function of how users respond to particular page and/or domain which they are sent by an online advertisement. User experience is improved ensuring that advertisements more relevant user priced less than the user. In particular, quality factor for each ad determined property advertiser's site based on measured behaviors with respect site. This then used in ranking, selecting, and pricing automated auction. Further, while aggregators not excluded from market rules Quality-Based Pricer, these ensure there “level playing field” such merchants aggregators.

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