A user profile modelling using social annotations: a survey
作者： Manel Mezghani , Corinne Amel Zayani , Ikram Amous , Faiez Gargouri
关键词: Computer science 、 User modeling 、 Social network 、 State (computer science) 、 Ontology (information science) 、 User profile 、 World Wide Web
摘要: As social networks are growing in terms of the number users, resources and interactions; user may be lost or unable to find useful information. Social elements could avoid this disorientation like annotations (tags) which become more popular contribute user. Representing a based on these has showed their utility reflecting an accurate profile used for recommendation purpose. In paper, we give state art characteristics techniques model update tag-based profile. We show how treat modelling profiles purposes.
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