Improving Dynamic Index Pruning via Linear Programming

Dynamic index pruning techniques are commonly used to speed up query processing in Web search engines. In this work, we propose a linear programming technique which can further improve the performance of the state-of-the-art dynamic index pruning techniques. The experiments we conducted demonstrate that the proposed technique achieves reduction in terms of the disk access, index decompression, and scoring costs compared to the well-known Max-Score technique.