Recommender Systems Questions
The role of trust in personalized recommender systems is to enhance user satisfaction and increase the likelihood of user acceptance and adoption of the recommendations provided. Trust plays a crucial role in influencing users' decision-making process and their willingness to rely on the recommendations generated by the system. When users trust the recommender system, they are more likely to perceive the recommendations as accurate, relevant, and reliable, leading to increased user engagement and satisfaction. Trust can be built through various mechanisms, such as transparency in the recommendation process, providing explanations for the recommendations, incorporating user feedback, and ensuring privacy and security of user data.