Recommender Systems Concepts and Effects

What is the primary function of recommender systems?

• To display only the most popular content

• To help users find new and relevant content

• To create social media networks

• To manage computer hardware

Which of the following is a potential negative effect of recommender systems?

• They always introduce users to a wide variety of new ideas

• They can sometimes lead to an "online bubble" where users only see content similar to what they already like

• They make it easier for users to connect with diverse communities

• They guarantee that users will never miss a new TV show

A recommendation system that suggests videos based on the characteristics of the videos themselves, rather than the audience's preferences, is called what?

• Social recommendations

• Personalized recommendations

• Content-based recommendations

• Collaborative filtering

What is the purpose of "collaborative filtering" in recommender systems?

• To only recommend content that is currently trending

• To combine different recommendation methods to make more accurate predictions

• To ensure all users see the exact same recommendations

• To only recommend content that has been manually approved by experts