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Aggregated search: a new information retrieval paradigm

Kopliku, Arlind and Pinel-Sauvagnat, Karen and Boughanem, Mohand Aggregated search: a new information retrieval paradigm. (2014) ACM Computing Surveys, 46 (3). 1-31. ISSN 0360-0300

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Official URL: http://dx.doi.org/10.1145/2523817


Traditional search engines return ranked lists of search results. It is up to the user to scroll this list, scan within different documents and assemble information that fulfill his/her information need. Aggregated search represents a new class of approaches where the information is not only retrieved but also assembled. This is the current evolution in Web search, where diverse content (images, videos, ...) and relational content (similar entities, features) are included in search results. In this survey, we propose a simple analysis framework for aggregated search and an overview of existing work. We start with related work in related domains such as federated search, natural language generation and question answering. Then we focus on more recent trends namely cross vertical aggregated search and relational aggregated search which are already present in current Web search.

Item Type:Article
Additional Information:Thanks to ACM editor. The definitive version is available at http://dl.acm.org/citation.cfm?id=2523817
HAL Id:hal-01123809
Audience (journal):International peer-reviewed journal
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE)
French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE)
Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE)
Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE)
Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE)
Laboratory name:
Deposited On:05 Mar 2015 14:35

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