Improving Cold Start Stereotype-Based Recommendation Using Deep Learning
Recommendation engines constitute a key component of many online platforms. One of the most challenging problems facing a recommender system is that of cold start, namely the recommendation of items from the catalogue to a new unknown user, or the recommendation of newly injected content to existing...
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
IEEE
2023-01-01
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| Serie: | IEEE Access |
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| Accesso online: | https://ieeexplore.ieee.org/document/10360833/ |
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