Semantic User Interaction Profiles for Better People Recommendation

Semantic User Interaction Profiles for Better People Recommendation

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 introducti...

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Bibliographische Detailangaben
Hauptverfasser: Stan, Johann, Viet-Hung Do, Maret, Pierre
Format: Tagungsbericht
Sprache:eng
Schlagworte:
analysis
Data mining
Entropy
Knowledge based systems
linked data
recommendation
semantic
Semantics
social network
Twitter
user profile
Vocabulary
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Beschreibung
Zusammenfassung: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.
DOI:10.1109/ASONAM.2011.21