In the past, most search queries issued to a search engine were short and simple. A keyword based search engine was able to answer such queries quite well. However, members are now developing the habit of issuing long and complex natural language queries. Answering such queries requires evolution of a search engine to have semantic capability. In this paper we present the design of LinkedIn's new content search engine with semantic capability, and its impact on metrics.

翻译：过去，大多数搜索引擎接收的查询请求简短而直接。基于关键词的搜索引擎能够较好地响应此类查询。然而，用户现已逐渐习惯于输入冗长复杂的自然语言查询。为有效处理此类查询，搜索引擎需演进并具备语义理解能力。本文介绍了LinkedIn新型语义化内容搜索引擎的设计方案及其对关键指标的实际影响。