UISTD: A Trust-Aware Model for Diverse Item Personalization in Social Sensing with Lower Privacy Intrusion

Privacy intrusion has become a major bottleneck for current trust-aware social sensing, since online social media allows anybody to largely disclose their personal information due to the proliferation of the Internet of Things (IoT). State-of-the-art social sensing still suffers from severe privacy...

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Detalles Bibliográficos
Autores principales: Wu, Hongchen, Li, Mingyang, Zhang, Huaxiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308531/
https://www.ncbi.nlm.nih.gov/pubmed/30544965
http://dx.doi.org/10.3390/s18124383

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308531/
https://www.ncbi.nlm.nih.gov/pubmed/30544965
http://dx.doi.org/10.3390/s18124383

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