Semantic User Interaction Profiles for Better People Recommendation

Autor:	Viet-Hung Do, Pierre Maret, Johann Stan
Rok vydání:	2011
Předmět:	Vocabulary User profile Computer science business.industry media_common.quotation_subject Novelty Linked data World Wide Web Knowledge-based systems Interactivity User interface business media_common Content management
Zdroj:	ASONAM
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4fd54b7407e114c7258903d2713072b9 https://doi.org/10.1109/asonam.2011.21 Zobrazit plný text záznamu