Recommender Systems Questions
Diversity in recommender systems refers to the extent to which the recommended items or suggestions provided by the system cover a wide range of different types, categories, or attributes. It aims to offer a variety of options to users, ensuring that their preferences and interests are not limited to a narrow set of choices. By promoting diversity, recommender systems can enhance user satisfaction, prevent filter bubbles, and expose users to new and unexpected items that they may not have discovered otherwise.