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Leia o fragmento a seguir, extraído de um relatório técnico sobre sistemas de recomendação baseados em aprendizado de máquina:
"While early recommendation engines relied on collaborative filtering, which assumes that users who agreed in the past will agree again, modern systems increasingly combine it with content-based models. The latter analyze item attributes to suggest products similar to those a user has already liked. However, neither approach alone addresses the cold-start problem: collaborative filtering fails when a new item has no interaction history, whereas content-based models may over-specialize, recommending only items nearly identical to those already consumed. Hybrid architectures mitigate both issues by weighting the two signals dynamically, though they introduce additional computational overhead and require careful tuning of the weighting parameters."
Com base no fragmento, é correto afirmar que:
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