|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
Mechanism design: dealing with interdependencies among agents.
If you have a question about this talk, please contact Microsoft Research Cambridge Talks Admins.
This event may be recorded and made available internally or externally via http://research.microsoft.com. Microsoft will own the copyright of any recordings made. If you do not wish to have your image/voice recorded please consider this before attending
Scenarios like recommendation systems are characterized by the presence of agents that play the role of experts by observing how much end-users would be interested in an item. However, their observations are subject to noise. To improve the service offered to end-users, a central agent can collect all the observations and deal with the noise by merging them, before deciding which items to propose to an end-user. This merging gives rise to interdependencies among the experts (who have a value/cost for the items when it is chosen by the end-user), that, in turn, create externalities effects. In this talk, this kind of scenario is analyzed, different types of externalities due to interdependency are described, and possibility and impossibility results in designing efficient, incentive compatible, individually rational, and weakly budget balanced mechanisms are presented. In the case study considered in this presentation, a federated search engine collects ads from a set of advertising providers, and decides which ads to display to a specific end-user.
This talk is part of the Microsoft Research Cambridge, public talks series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listsJohn Ray Society Finance - Centre for Financial Research Innovation Forum
Other talksImproving techniques and technology for cellular and molecular pathology Annual General Meeting R&D Management Conference - From Science to Society - Innovation and Value Creation tba Twistor analysis of a parabola Metabolomics 2016