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Self-learning predictive algorithms: from design to scalable implementation

Financement: Unfunded
Date de début: 1 novembre 2015
Date de fin: 1 novembre 2018

Description

The PhD project focuses on designing prediction algorithms for real-time bidding system. With the support from OLAmobile, our industrial partnering company, we will investigate how to accurately predict user's purchase intention and adjust bidding strategies adaptively in real time for the mobile advertising market, in which less research has been done. We will not only tackle with online analysis of the developed algorithms but also conduct field trails in online mode for evaluation and optimization on the real-time bidding (RTB) platform provided by OLAmobile. The developed algorithms can be further applied to other large-scale real-time applications.

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