AI 中文总结
研究对话系统答案压缩的搜索工作量，定义答案重构搜索密度（\ARSD）来衡量所需查询操作数，通过并行页面密度度量区分查询与源文档压缩，为量化对话答案的搜索工作提供新方法。
AI 中文摘要
对话系统可将可见的网络查询、结果检查和源文档比较序列合并为单个合成答案。现有检索指标评估排名、工作量或事实支持，但未量化完整答案所代表的最小传统搜索工作量。我们定义了答案重构搜索密度（\ARSD）：在固定且过时的重构策略下，支持目标份额的原子可检索答案单元所需的不同查询操作的最小数量。并行页面密度度量将查询压缩与源文档压缩分开。
英文摘要
Conversational systems can collapse a visible sequence of web queries, result inspections, and source comparisons into a single synthesized answer. Existing retrieval metrics evaluate ranking, effort, or factual support, but they do not quantify the minimum conventional search work represented by a completed answer. We define answer-reconstruction search density (\ARSD): the minimum number of distinct query actions required, under a fixed and dated reconstruction policy, to support a target share of atomic retrievable answer units. A parallel page-density measure separates query compression from source compression.
