自 2017 年起,廣告大環境基於以下何種原因而更加需要機器學習技術?
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正確答案: 使用者期待感上升、隱私權法規上路及技術的發展,都對廣告活動的成效評估造成影響。.
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The correct answer highlights the confluence of factors driving the need for machine learning in advertising since 2017. Increased user expectations for personalized yet privacy-respecting experiences, the proliferation of stringent privacy regulations (like GDPR and CCPA), and rapid technological advancements (including the deprecation of third-party cookies) have collectively complicated traditional ad measurement and optimization. Machine learning is crucial for navigating these complexities, enabling advertisers to maintain performance while respecting privacy and adapting to evolving tech landscapes. The other options are less comprehensive or accurate: While marketers do use ML for pattern recognition and optimization, this option doesn't fully capture the why since 2017 in the broader ad environment. Data scientists' involvement in ML projects is a consequence, not the primary reason for the increased need in advertising. Chrome's announcement about third-party cookies is a significant part of the technological development, but not the sole overarching reason.
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