Recommender Systems Questions
Novelty in recommender systems refers to the ability of the system to recommend items that are new or unfamiliar to the user. It aims to provide recommendations that go beyond the user's existing preferences and introduce them to diverse and previously unknown items. By suggesting novel items, recommender systems can help users discover new interests, expand their horizons, and avoid the problem of filter bubbles where users are only exposed to content similar to what they have already consumed. However, it is important to strike a balance between novelty and relevance, as recommendations that are too novel may not align with the user's preferences and lead to dissatisfaction.