If a high-priority filter is too broad and eats up the entire budget — how to solve it?

If a high-priority filter is too broad and 'consumes' the entire budget (for example, in a resource allocation system or advertising auctions), it leads to other filters or rules not receiving enough resources.

Possible solutions:

• Refine or narrow the filter — make the conditions more precise so it doesn't cover too many cases.
• Dynamic budget allocation — implement logic that limits the maximum share of the budget for one filter.
• Prioritization with quotas — set quotas for each filter to guarantee resources for others.
• Analysis and optimization of filters — analyze filter effectiveness and redistribute the budget based on actual performance.
• Use of adaptive algorithms — for example, machine learning to forecast and adjust budget distribution in real-time.

Thus, it is important to balance the filter's breadth and its impact on the overall system to avoid dominance by one filter and ensure efficient resource utilization.