Aggregated Search

IF 8.3 2区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS Foundations and Trends in Information Retrieval Pub Date : 2017-03-06 DOI:10.1561/1500000052

Jaime Arguello

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引用次数: 20

Abstract

The goal of aggregated search is to provide integrated search across multiple heterogeneous search services in a unified interfacea 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). This monograph provides a comprehensive summary of previous research in aggregated search. It starts by describing why aggregated search requires unique solutions. It then discusses 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, it surveys different evaluation methodologies for aggregated search and discusses prior user studies that have aimed to better understand how users behave with aggregated search interfaces. It proceeds to review different advanced topics in aggregated search. It concludes by highlighting the main trends and discussing short-term and long-term areas for future work.

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聚合搜索

聚合搜索的目标是在一个统一的接口中提供跨多个异构搜索服务的集成搜索——一个查询框和结果的通用表示。在网络搜索领域，聚合搜索系统负责整合来自专业搜索服务或垂直领域的结果，以及核心网络结果。例如，搜索门户如Google、Bing和Yahoo!提供对垂直搜索引擎的访问，这些垂直搜索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(搜索本地企业和在线产品)，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。这个专著提供了一个全面的总结，在聚合搜索以前的研究。本文首先描述了为什么聚合搜索需要独特的解决方案。然后讨论了可能用于聚合搜索系统的不同证据来源，以及整合证据的不同技术，以便做出垂直选择和呈现决策。接下来，它调查了聚合搜索的不同评估方法，并讨论了先前的用户研究，这些研究旨在更好地理解用户如何使用聚合搜索界面。接着回顾聚合搜索中不同的高级主题。报告最后强调了主要趋势，并讨论了今后工作的短期和长期领域。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Foundations and Trends in Information Retrieval COMPUTER SCIENCE, INFORMATION SYSTEMS-

CiteScore

39.10

自引率

0.00%

发文量

期刊介绍： The surge in research across all domains in the past decade has resulted in a plethora of new publications, causing an exponential growth in published research. Navigating through this extensive literature and staying current has become a time-consuming challenge. While electronic publishing provides instant access to more articles than ever, discerning the essential ones for a comprehensive understanding of any topic remains an issue. To tackle this, Foundations and Trends® in Information Retrieval - FnTIR - addresses the problem by publishing high-quality survey and tutorial monographs in the field. Each issue of Foundations and Trends® in Information Retrieval - FnT IR features a 50-100 page monograph authored by research leaders, covering tutorial subjects, research retrospectives, and survey papers that provide state-of-the-art reviews within the scope of the journal.

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