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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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| Publicado no: | The Semantic Web |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7250597/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-49461-2_18 |
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