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 Computational Advertising
Our computational advertising research
is conducted in close partnership with AdCenter Labs. Our direct access to adCenter resources
gives us a unique perspective in this emerging resarch field.
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Trust and Reputation
Learning about people’s reputation to improve trust, the lubricant
of online transactions both in games and business transactions. |
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Behavioural Targeting
Modelling users based on their browsing behaviour, to improve the
relevance of the ads displayed, and to provide better targeting to
the advertisers. |
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Recommendation Systems
Helping users in their decision-making while interacting with the
ever-expanding volume and increasing complexity of information on
the Web. |
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Machine Learning and Mechanism Design
The keyword auction - the "cash cow" of paid search - is based on a
combination of mechanism design and machine learning. We explore
extensions and limitations of this combination. |
People
Primary Contacts: Ralf Herbrich or Thore Graepel
“Our partnership with Microsoft
AdCenter offers incredibly exciting challenges for
machine learning, as well as great opportunities for huge impact.”
— Joaquin Quiñonero
Candela , Researcher 2007, Microsoft Research Cambridge |
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- We are looking for outstanding interns, postdoc researchers, developers and
full-time researchers. Visit our
career opportunities page
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- Computational Advertising
Microsoft Research
7 J J Thomson Ave
Cambridge CB3 0FB, UK
+44 1223 479700
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