The goal of aggregated search is to provide integrated search across multiple heterogeneous search services in a unified interface—a single query box and a common presentation of results. In the web search domain, aggregated search systems are responsible for integrating results from specialized search services, or verticals, alongside the core web results. For example, search portals such as Google, Bing, and Yahoo! provide access to vertical search engines that focus on different types of media (images and video), different types of search tasks (search for local businesses and online products), and even applications that can help users complete certain tasks (language translation and math calculations). Aggregated search systems perform two mains tasks. The first task (vertical selection) is to predict which verticals (if any) to present in response to a user’s query. The second task (vertical presentation) is to predict where and how to present each selected vertical alongside the core web results. The goal of this work is to provide a comprehensive summary of previous research in aggregated search. We first describe why aggregated search requires unique solutions. Then, we discuss different sources of evidence that are likely to be available to an aggregated search system, as well as different techniques for integrating evidence in order to make vertical selection and presentation decisions. Next, we survey different evaluation methodologies for aggregated search and discuss prior user studies that have aimed to better understand how users behave with aggregated search interfaces. Finally, we review different advanced topics in aggregated search.

聚合搜索的目标是在一个统一的界面中跨多个异构搜索服务提供集成的搜索-一个查询框和一个通用的结果表示。在网络搜索领域，聚合搜索系统负责将来自专用搜索服务或垂直行业的结果与核心网络结果进行集成。例如，搜索门户网站，例如Google，Bing和Yahoo!。提供对垂直搜索引擎的访问，这些引擎专注于不同类型的媒体（图像和视频），不同类型的搜索任务（搜索本地业务和在线产品），甚至可以帮助用户完成某些任务（语言翻译和数学计算）的应用程序）。聚合搜索系统执行两项主要任务。第一项任务（垂直选择）是预测响应于用户的查询显示的垂直（如果有）。第二项任务（垂直展示）是预测将每个选定的垂直展示在何处以及如何与核心网页结果一起展示。这项工作的目的是提供汇总搜索中以前研究的全面摘要。我们首先描述为什么聚合搜索需要独特的解决方案。然后，我们讨论聚集搜索系统可能使用的不同证据来源，以及用于进行垂直选择和表示决策的集成证据的不同技术。接下来，我们调查用于聚合搜索的不同评估方法，并讨论先前的用户研究，这些研究旨在更好地了解用户在聚合搜索界面中的行为方式。最后，