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Exploring Fuzzy Rating Regularities for Managing Natural Noise in Collaborative Recommendation
Recommender systems have played a relevant role in e-commerce for supporting online users to obtain suggestions about products that best fit their preferences and needs in overloaded search spaces. In such a context, several authors have proposed methods focused on removing the users' inconsist...
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| Główni autorzy: | , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Springer
2019-11-01
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| Seria: | International Journal of Computational Intelligence Systems |
| Hasła przedmiotowe: | |
| Dostęp online: | https://www.atlantis-press.com/article/125923236/view |
| Etykiety: |
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