Open Archive TOULOUSE Archive Ouverte (OATAO) OATAO is an open access repository that collects the work of Toulouse researchers and makes it freely available over the web where possible. This is an author-deposited version published in : http://oatao.univ-toulouse.fr/ Eprints ID : 12669 To link to this article : DOI :10.1145/2523817 URL : http://dx.doi.org/10.1145/2523817 To cite this version : Kopliku, Arlind and Pinel-Sauvagnat, Karen and Boughanem, Mohand Aggregated search: a new information retrieval paradigm. (2014) ACM Computing Surveys, vol. 46 (n° 3). pp. 1-31. ISSN 0360-0300 Any correspondance concerning this service should be sent to the repository administrator:
[email protected] Aggregated Search: A New Information Retrieval Paradigm ARLIND KOPLIKU, KAREN PINEL-SAUVAGNAT, and MOHAND BOUGHANEM, IRIT, University of Paul Sabatier 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, etc.) 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.