Recommender Systems Questions
The role of context in recommender systems is to provide additional information about the user, item, or the interaction between them, in order to improve the accuracy and relevance of recommendations. Context can include factors such as time, location, weather, social connections, and user preferences. By considering context, recommender systems can adapt and personalize recommendations based on the specific situation or environment, leading to more effective and tailored suggestions for users.