{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,3]],"date-time":"2026-04-03T19:51:08Z","timestamp":1775245868049,"version":"3.50.1"},"reference-count":167,"publisher":"Emerald","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2017,3,6]]},"abstract":"<jats:p>The goal of aggregated search is to provide integrated search across multiple heterogeneous search services in a unified interface\u2014a 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).<\/jats:p>\n                  <jats:p>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\u2019s query. The second task (vertical presentation) is to predict where and how to present each selected vertical alongside the core web results.<\/jats:p>\n                  <jats:p>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.<\/jats:p>","DOI":"10.1561\/1500000052","type":"journal-article","created":{"date-parts":[[2017,3,6]],"date-time":"2017-03-06T10:09:47Z","timestamp":1488794987000},"page":"365-502","source":"Crossref","is-referenced-by-count":24,"title":["Aggregated Search"],"prefix":"10.1561","volume":"10","author":[{"given":"Jaime","family":"Arguello","sequence":"first","affiliation":[{"name":"School of Information and Library Science University of North Carolina at Chapel Hill ,","place":["United States"]}]}],"member":"140","published-online":{"date-parts":[[2017,3,6]]},"reference":[{"key":"2026040314520778500_ref001","first-page":"911","volume-title":"Geographic ranking for a local search engine","author":"Abou-Assaleh","year":"2007"},{"key":"2026040314520778500_ref002","first-page":"5","volume-title":"Diversifying search results","author":"Agrawal","year":"2009"},{"issue":"5","key":"2026040314520778500_ref003","doi-asserted-by":"crossref","first-page":"719","DOI":"10.1016\/j.ipm.2011.03.002","article-title":"The effect of user characteristics on search effectiveness in information retrieval","volume":"47","author":"Al-Maskari","year":"2011","journal-title":"Information Processing and Management"},{"key":"2026040314520778500_ref004","first-page":"25","volume-title":"Improving aggregated search coherence","author":"Arguello","year":"2015"},{"issue":"1","key":"2026040314520778500_ref005","doi-asserted-by":"crossref","DOI":"10.1145\/2935747","article-title":"The effects of aggregated search coherence on search behavior","volume":"11","author":"Arguello","year":"2016","journal-title":"ACM Transactions on Information Systems"},{"key":"2026040314520778500_ref006","first-page":"1293","volume-title":"The effect of aggregated search coherence on search behavior","author":"Arguello","year":"2012"},{"key":"2026040314520778500_ref007","first-page":"539","volume-title":"The effects of vertical rank and border on aggregated search coherence and search behavior","author":"Arguello","year":"2014"},{"key":"2026040314520778500_ref008","first-page":"1277","volume-title":"Classification-based resource selection","author":"Arguello","year":"2009"},{"key":"2026040314520778500_ref009","first-page":"315","volume-title":"Sources of evidence for vertical selection","author":"Arguello","year":"2009"},{"key":"2026040314520778500_ref010","first-page":"691","volume-title":"Vertical selection in the presence of unlabeled verticals","author":"Arguello","year":"2010"},{"key":"2026040314520778500_ref011","first-page":"201","volume-title":"Learning to aggregate vertical results into web search results","author":"Arguello","year":"2011"},{"key":"2026040314520778500_ref012","first-page":"141","volume-title":"Proceedings of the 33rd European Conference on Advances in Information Retrieval, ECIR \u201811","author":"Arguello","year":"2011"},{"key":"2026040314520778500_ref013","first-page":"435","volume-title":"Task complexity, vertical display, and user interaction in aggregated search","author":"Arguello","year":"2012"},{"key":"2026040314520778500_ref014","first-page":"1989","volume-title":"Factors affecting aggregated search coherence and search behavior","author":"Arguello","year":"2013"},{"key":"2026040314520778500_ref015","first-page":"35","volume-title":"How does search behavior change as search becomes more difficult?","author":"Aula","year":"2010"},{"key":"2026040314520778500_ref016","first-page":"105","volume-title":"Evaluating search systems using result page context","author":"Bailey","year":"2010"},{"key":"2026040314520778500_ref017","first-page":"767","volume-title":"Evaluating whole-page relevance","author":"Bailey","year":"2010"},{"key":"2026040314520778500_ref018","first-page":"111","volume-title":"Classification-enhanced ranking","author":"Bennett","year":"2010"},{"key":"2026040314520778500_ref019","first-page":"1:1","volume-title":"Proceedings of the 2Nd USENIX Workshop on Tackling Computer Systems Problems with Machine Learning Techniques, SYSML \u201807","author":"Beverly","year":"2007"},{"issue":"5","key":"2026040314520778500_ref020","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1007\/s005300050098","article-title":"Personalized, interactive news on the web","volume":"6","author":"Bharat","year":"1998","journal-title":"Multimedia Systems"},{"key":"2026040314520778500_ref021","doi-asserted-by":"crossref","first-page":"390","DOI":"10.1016\/j.neucom.2012.06.024","article-title":"Learning to blend vitality rankings from heterogeneous social networks","volume":"97","author":"Bian","year":"2012","journal-title":"Neurocomputing"},{"issue":"13","key":"2026040314520778500_ref022","doi-asserted-by":"crossref","first-page":"1170","DOI":"10.1002\/asi.10145","article-title":"Children\u2019s use of the yahooligans! 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