Addressing the Cold-Start Problem in Recommender Systems Based on Frequent Patterns
Recommender systems aim to forecast users’ rank, interests, and preferences in specific products and recommend them to a user for purchase. Collaborative filtering is the most popular approach, where the user’s past purchase behavior consists of the user’s feedback. One of the most challenging probl...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2023-03-01
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| Col·lecció: | Algorithms |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/1999-4893/16/4/182 |
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