查询推荐技术,其用于找出与初始查询或关键词相关的其他查询或关键词,被广泛用于搜索引擎和广告检索系统中。作为当今搜索引擎的必备技术之一,查询推荐技术研究正受到越来越多的关注,近几年出现了很多验证查询推荐可用性及改进其算法的研究工作。为此,该文对查询推荐的发展过程、技术方法、评价体系等方面进行了归纳和总结,分析了查询推荐面临的挑战并讨论了现有解决方法及未来研究思路,希望能对相关研究人员有所帮助。
Query suggestion,i.e.generating related queries or keywords for an initial one,has been widely utilized in search engines and sponsored search systems.As one of the necessary techniques in search engines,query suggestion draws more and more attentions in NLP and IR community.In recent years,many studies have been done to validate the usefulness of query suggestion and to improve its effect.This paper introduces the state of the art in query suggestion,including its history,approaches and evaluation methods.The paper analyzes the challenges,discusses the possible solutions and suggests future works.