The correct answer is: A. News Recommender system
Active learning is a machine learning paradigm that involves the active participation of a human in the learning process. In active learning, the learner (usually a computer program) is able to query the human for information about the data, and the human can then provide feedback to the learner. This feedback can be used to improve the learner’s performance on the task at hand.
News recommender systems are a type of active learning system. In a news recommender system, the learner is a computer program that is trying to learn to recommend news articles to users. The human in the system is the user, who can provide feedback to the learner about whether or not they like the news articles that the learner recommends. This feedback can be used to improve the learner’s performance on the task of recommending news articles to users.
Dust cleaning machines are not an example of active learning. Dust cleaning machines are machines that are designed to clean dust from surfaces. They do not involve the active participation of a human in the learning process.
Automated vehicles are not an example of active learning. Automated vehicles are vehicles that are designed to drive themselves. They do not involve the active participation of a human in the learning process.
In conclusion, the correct answer is: A. News Recommender system