Title :
Semantic User Interaction Profiles for Better People Recommendation
Author :
Stan, Johann ; Do, Viet-Hung ; Maret, Pierre
Author_Institution :
Centre de Villarceaux, Alcatel-Lucent Bell Labs. France, France
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.
Keywords :
content management; data analysis; social networking (online); user interfaces; content extraction process; linked data introduction; people recommendation; semantic user interaction; social platform; user degree; user profile learning; Data mining; Entropy; Knowledge based systems; Semantics; Twitter; Vocabulary; analysis; linked data; recommendation; semantic; social network; user profile;
Conference_Titel :
Advances in Social Networks Analysis and Mining (ASONAM), 2011 International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-61284-758-0
Electronic_ISBN :
978-0-7695-4375-8
DOI :
10.1109/ASONAM.2011.21
