This document introduces a new ranking approach called Manifold Ranking with Sink Points (MRSP) that addresses diversity, relevance, and importance in ranking. MRSP uses a manifold ranking process over data to find the most relevant objects while also using ranked objects as sink points to prevent redundant objects from receiving high ranks. MRSP was applied to update summarization and query recommendation tasks, where it performed better than existing ranking approaches by achieving strong empirical results.