Semantic User Interaction Profiles for Better People Recommendation

Authors:
Johann Stan;Viet-Hung Do;Pierre Maret
Affiliations:
-;-;-
Venue:
ASONAM '11 Proceedings of the 2011 International Conference on Advances in Social Networks Analysis and Mining
Year:
2011

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Abstract

In this paper we present a methodology for learning user profiles from content shared by people on Social Platforms. Such profiles are specifically tailored to reflect the user's degree of interactivity related to the topics they are writing about. The main novelty in our work is the introduction of Linked Data in the content extraction process and the definition of specific scores to measure expertise and interactivity.