Which item is NOT listed as a component of the personalization toolkit?

• A. Computer Vision
• B. Content-based filtering
• C. Deep Learning
• D. Natural Language Processing

Answer: (A)

Understanding what tools are typically used to personalize experiences helps clarify this question. A personalization toolkit usually includes methods that directly model user preferences and item characteristics: content-based filtering uses item features to match what a user has liked before, deep learning provides flexible models to capture complex patterns in user-item interactions, and natural language processing analyzes textual data such as reviews, queries, or descriptions to tailor recommendations. Computer vision, while incredibly powerful for interpreting visual content, isn’t part of that standard toolkit unless the system explicitly relies on visual signals to personalize. So the item that isn’t listed as a core component is computer vision.