SAShA: Semantic-Aware Shilling Attacks on Recommender Systems Exploiting Knowledge Graphs

Recommender systems (RS) play a focal position in modern user-centric online services. Among them, collaborative filtering (CF) approaches have shown leading accuracy performance compared to content-based filtering (CBF) methods. Their success is due to an effective exploitation of similarities/corr...

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Detalles Bibliográficos
Autores principales: Anelli, Vito Walter, Deldjoo, Yashar, Di Noia, Tommaso, Di Sciascio, Eugenio, Merra, Felice Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7250597/
http://dx.doi.org/10.1007/978-3-030-49461-2_18

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7250597/
http://dx.doi.org/10.1007/978-3-030-49461-2_18

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