LinkedIn升级搜索引擎，支持复杂自然语言查询。
Introducing Semantic Capability in LinkedIn's Content Search Engine
- 引入语义理解技术，支持长句自然语言查询
- 新引擎显著提升搜索准确率与用户满意度
- 适合关注智能搜索与用户体验优化的研究者
过去，大多数搜索查询都是简短而简单的，基于关键词的搜索引擎能够很好地应对。然而，用户现在逐渐习惯于提出更长、更复杂的自然语言查询。回答这类查询需要搜索引擎具备语义理解能力。本文介绍了LinkedIn新内容搜索引擎的设计，该引擎具备语义能力，并展示了其在关键指标上的积极影响。
原文摘要 · Abstract (English)
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.
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