I was amazed by the QCRI vision and its ambition to be one of the best research labs in the world. That's why I wanted to be a part of this project.
Sofiane's research focuses on developing new algorithms and tools for a better understood of users’ engagement and sentiment in the social web of news. He is also interested on leveraging user generated data, e.g., tweets, comments, shares and visits to identify the most trending topics. This data can be also used to make diversity-aware recommendation for users.
A list of Sofiane's ongoing projects follows:
Before joining QCRI, Sofiane was a PhD candidate at Versailles University. There, he had been involved in two CNRS projects (APMD and AOC), and one industrial project (UUPP) with Alcatel-Lucent Bell Labs. His contributions to these projects focused on data personalization, user modeling, context-awareness, and recommendation systems.
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