This interactive Monte Carlo simulation models a fragmented search system with 6 separate subsystems. It uses statistical methods to estimate the overall success rate based on system optimization levels, user behaviors, and query types.
MCPS (Multi-Criteria Performance Score) is a composite metric that evaluates search performance across multiple dimensions including precision, recall, response time, ranking consistency, and user effort.
Optimization level represents how much each system has been improved from its baseline state toward its maximum potential.