Overcoming the cold-start challenge in recommender systems: A novel two-stage framework
Cold-start recommendation helps personalize user experiences and improve the relevance of the recommendation system. Despite its importance, cold-start solutions are difficult to develop because new users and items lack interaction data, making user preferences and item relevance prediction difficul...
Gorde:
| Egile Nagusiak: | , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
De Gruyter
2025-08-01
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| Saila: | Open Computer Science |
| Gaiak: | |
| Sarrera elektronikoa: | https://doi.org/10.1515/comp-2025-0038 |
| Etiketak: |
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