Abstract: Architecture that utilizes server-based signals (e.g., past engagement, application popularity, spell-correction, mined search patterns, machine learning models, etc.) to improve relevance of search results for local applications and settings. The architecture works for any operating system (OS) and any client device that has local settings or applications installed. The architecture also covers instances where server-signals are being used to improve queries on devices where settings are searched but no applications are installed or will not be installed.