You are implementing a recursive algorithm and observe that it recalculates the same values multiple times, leading to inefficient execution. What technique might be most effective in reducing the redundant calculations? 

When a recursive algorithm recalculates the same values repeatedly, it leads to unnecessary computational overhead. Memoization is a technique where you store the results of expensive function calls and return the cached result when the same inputs occur again, preventing redundant calculations. This is especially useful in recursive algorithms like those seen in dynamic programming.