Skip to Main content Skip to Navigation
Conference papers

Semantic User Interaction Profiles for Better People Recommendation

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 a specific scores to measure expertise and interactivity.
Document type :
Conference papers
Complete list of metadata
Contributor : Pierre Maret Connect in order to contact the contributor
Submitted on : Saturday, June 4, 2011 - 3:45:53 PM
Last modification on : Saturday, June 25, 2022 - 7:25:48 PM
Long-term archiving on: : Monday, September 5, 2011 - 2:25:11 AM


Files produced by the author(s)


  • HAL Id : ujm-00598135, version 1



Johann Stan, Pierre Maret, Viet-Hung Do. Semantic User Interaction Profiles for Better People Recommendation. International Conference on Advances in Social Network Analysis and Mining (ASONAM 2011), Jul 2011, Taiwan. pp.1-4. ⟨ujm-00598135⟩



Record views


Files downloads