AI-900 Question 14
Select 4A company wants to implement an AI solution to moderate user-generated content on its platform and offer personalized content recommendations. Which of the following features are best suited for these tasks?
- A
Detecting offensive language and inappropriate images in user-generated content
- B
Providing product recommendations based on a user's browsing history
- C
Automatically generating captions for images uploaded by users
- D
Classifying documents into predefined categories for better search functionality
- E
Filtering spam messages or comments in real-time
- F
Customizing news articles displayed to users based on their reading preferences
Show answer and explanation
Correct answers: A, B, E, F
Explanation
Content moderation involves detecting, filtering, or managing inappropriate, offensive, or spam content to ensure a safe user experience. Personalization workloads focus on tailoring content, such as product recommendations or news articles, to individual users based on their preferences and behaviors. The correct answers reflect features that align with these objectives.
- A. Correct.
Detecting offensive language and inappropriate images is a key feature of content moderation, as it ensures that unsuitable content does not appear on the platform.
- B. Correct.
Providing product recommendations based on browsing history is a feature of personalization workloads, where AI tailors recommendations to individual users.
- C. Incorrect.
Generating captions for images is not directly related to content moderation or personalization. This is more aligned with computer vision tasks like image processing.
- D. Incorrect.
Classifying documents into categories is primarily a document management or search optimization task and does not directly address content moderation or personalization.
- E. Correct.
Filtering spam messages or comments is a significant part of content moderation, as it helps maintain a clean and safe user experience.
- F. Correct.
Customizing news articles shown to users based on their preferences is a feature of personalization workloads, as it adapts the content to individual users' interests.