A social media platform wants to implement a recommendation system based on user interactions. What clustering technique could be employed in the relational schema design to group similar user data for efficient recommendation algorithms?

In this scenario, K-Means Clustering could be employed to group similar user data based on their interactions. K-Means is a centroid-based clustering algorithm that helps in organizing data into clusters, facilitating the implementation of efficient recommendation algorithms by identifying patterns in user behavior.