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Context-based global expertise in recommendation systems

Jan 1, 2010· Vincenza Carchiolo , Alessandro Longheu , Michele Malgeri , Giuseppe Mangioni

Abstract

Expertise assessment is frequently required in social networks. This work proposes a method to globally rank people according to their expertise according to a set of topicsWe also introduce contexts similarity to allow related contexts to be exploited in expertise assessment. These ideas are applied to the Epinions.com recommender systems, showing that expertise in recommendation matters.
Publication
Informatica (Ljubljana)
publication