Learn how services like Netflix leverage narrow artificial intelligence to provide highly targeted content recommendations to users. Prepare for the IBM AI Fundamentals certification exam.
Table of Contents
Question
What type of AI do services, such as Netflix, use to recommend offerings to users?
A. Broad AI
B. Future AI
C. Narrow AI
D. General AI
Answer
C. Narrow AI
Explanation
Recommendations are typically made using Narrow AI. Narrow AI looks at a user’s preferences, with respect to a database of content or information, and determines their likes and dislikes.
Services like Netflix use narrow AI to recommend personalized content offerings to their users. Narrow AI, also known as weak AI, refers to AI systems that are designed and trained to perform specific tasks within a limited domain.
In the case of Netflix, their AI algorithms analyze vast amounts of user data, including viewing history, ratings, demographics, and more. By identifying patterns and correlations in this data, the narrow AI system is able to make highly targeted recommendations for movies, TV shows, and other content that align with each individual user’s interests and preferences.
This type of AI is considered “narrow” because it is focused on the singular task of content recommendation. It does not possess the broad, general intelligence required for human-like reasoning across diverse domains (general AI), nor is it a hypothetical future AI system with capabilities that surpass human intelligence (future AI). Broad AI, which can handle a wide variety of tasks but is not necessarily superior to humans, also does not accurately describe Netflix’s recommendation engine.
So in summary, Netflix and similar services utilize narrow AI, which is specialized for specific applications like providing personalized recommendations, in order to enhance the user experience and keep viewers engaged with their platform.
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