Web search engines have stored in their logs information about users since they started to operate. This information often serves many purposes. The primary focus of this survey is on introducing to the discipline of query mining by showing its foundations and by analyzing the basic algorithms and techniques that are used to extract useful knowledge from this (potentially) infinite source of information. We show how search applications may benefit from this kind of analysis by analyzing popular applications of query log mining and their influence on user experience. We conclude the paper by, briefly, presenting some of the most challenging current open problems in this field.

自用户开始运营以来，网络搜索引擎便在其日志中存储了有关用户的信息。此信息通常有许多用途。该调查的主要重点是通过展示查询挖掘的基础并分析用于从此（潜在）无限信息源中提取有用知识的基本算法和技术，来介绍查询挖掘的学科。通过分析查询日志挖掘的流行应用程序及其对用户体验的影响，我们展示了搜索应用程序如何从这种分析中受益。在总结本文时，我们将简要介绍该领域当前最具挑战性的一些开放性问题。