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Aggregated Search (Foundations and Trends(r) in Information Retrieval)
by Jaime Arguello



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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).

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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Arabic Information Retrieval (Foundations And Trends In Information Retrieval) . From Bandits to Monte-Carlo Tree Search: The Optimistic Principle Applied.. "Federated Search", Foundations and Trends in . Aggregated search was one of the first . Federated search (federated information retrieval or .An Overview of Aggregating Vertical Results into Web . An Overview of Aggregating Vertical Results into Web . Federated search. Foundations and Trends in .Publishers of Foundations and Trends, . Foundations and Trends in Information Retrieval . Aggregated Search Jaime Arguello. Volume 10, Issue .Brian D. Davison (Davison, Brian D.) . 'Adversarial Web Search (Foundations and Trends(r) . (Foundations and Trends(r) in Information Retrieval): .. Foundations and Trends in Information Retrieval" ( ) . Aggregated Search. Foundations .View Maarten de Rijkes professional . Expertise Retrieval Foundations and Trends in . however cannot be directly applied to aggregated search .Workshop on aggregated search. Full Text: PDF Get this Article: Authors: Vanessa Murdock: Yahoo! Research, Barcelona Spain: Mounia Lalmas: University of . 07f867cfac


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