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，搜索引擎接收的查询大多简短明了。基于关键词的搜索引擎能够较好地处理此类查询。然而，用户正逐渐习惯于输入长而复杂的自然语言查询。要回答这类查询，搜索引擎需要进化出语义理解能力。本文介绍了LinkedIn新型具备语义能力的内容搜索引擎的设计方案及其对各项指标的影响。