A genre trust model for defending shilling attacks in recommender systems
Abstract Shilling attacks have been a significant vulnerability of collaborative filtering (CF) recommender systems, and trust in CF recommender algorithms has been proven to be helpful for improving the accuracy of system recommendations. As a few studies have been devoted to trust in this area, we...
Gorde:
| Egile Nagusiak: | , |
|---|---|
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Springer
2021-04-01
|
| Saila: | Complex & Intelligent Systems |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1007/s40747-021-00357-2 |
| Etiketak: |
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
|