Graduate School and Research Center In communication systems

Xiaolan SHA

Xiaolan SHA
Xiaolan SHA
Eurecom - Networking and Security 
Phd Student ( 2009 - 2013)
Alumni EURECOM

Thesis

Design, analysis and implementation of distributed recommendation engines

Responsible(s)

 

The objective of this Thesis is to design, analyze and implement distributed recommendation engines for highly volatile environments and applications, in which end-users connect to the Internet using a combination of wired and wireless access networks.
The goal of this work is to advance the state‐of‐the‐art within cooperative information filtering and recommendation systems, both at fundamental theoretical and/or algorithm design levels. The theoretical research will use emerging ideas from spectral clustering and principal component analysis and apply them to a distributed setting. The algorithmic research will use ideas akin to economic modeling to design novel utility functions describing the core mechanisms of a recommender system.
Furthermore, a fundamental objective of this Thesis is to develop new measurements techniques to perform user-profiling in a lightweight and non-intrusive manner, and to design new performance metrics to assess the quality of recommendations.
The ultimate goal of this Thesis will be a real-life implementation and experimentation of the devised system in the context of a "Mobile Advertisement" application, in cooperation with PlayAdz, a company affiliated with EURECOM, who will be funding the Thesis according to the CIFRE scholarship program.