PerSaDoR: Personalized social document representation for improving web search

PerSaDoR: Personalized social document representation for improving web search

This paper was published on Information Sciences, vol. 369, pp. 614-633 by Mohamed Reda Bouadjenek, Hakim Hacid, Mokrane Bouzeghoub and Athena Vakali and it’s essentially a collaboration between the Department of Computing and Information Systems of the University of Melbourne, Zayed University in the United Arab Emirates, DAVID Laboratory of the University of Versailles-Saint-Quentin-en-Yvelines (UVSQ) in France and the Computer Science Department of the Aristotle University of Thessaloniki in Greece. It’s focused on a personalized social document representation which is based on social media.

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