This document discusses enabling secure and efficient ranked keyword search over outsourced cloud data. It describes how traditional searchable encryption techniques only allow for boolean search and are insufficient for large amounts of cloud data. The paper proposes exploring relevance scores from information retrieval to build a secure searchable index and a one-to-many mapping technique to protect sensitive score information. This would allow for efficient server-side ranking without compromising keyword privacy.