TY - CHAP

T1 - Proceedings of the ECIR 2012 Workshop on Task-Based and Aggregated Search (TBAS2012)

A2 - Larsen, Birger

A2 - Lioma, Christina

A2 - De Vries, Arjen

N1 - Copyright © 2012 for the individual papers by the papers' authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors.

PY - 2012

Y1 - 2012

N2 - Task-based search aims to understand the user's current task and desired outcomes, and how this may provide useful context for the Information Retrieval (IR) process. An example of task-based search is situations where additional user information on e.g. the purpose of the search or what the user already knows about the topic can provide valuable additional evidence that can significantly improve retrieval performance.Task-based search may be especially useful in cases of aggregated search, also known as integrated search in the digital libraries domain. Aggregated search describes the increasingly common IR paradigm of presenting to the user one result list with information from different document and media types, such as Wikipedia entries, Webpages, user-authored content,images, locations, etc. Research into aggregated search addresses the challenge of when and how to fuse different document and media types, and how to present results to the user. An example of aggregated search is the retrieval of scientific content, which involves searching among different domain-dependent document types and structures (e.g. full articles, shortabstracts, tables of content).This workshop aims to stimulate exploratory research in task-based and aggregated search, and to investigate synergies between these two areas

AB - Task-based search aims to understand the user's current task and desired outcomes, and how this may provide useful context for the Information Retrieval (IR) process. An example of task-based search is situations where additional user information on e.g. the purpose of the search or what the user already knows about the topic can provide valuable additional evidence that can significantly improve retrieval performance.Task-based search may be especially useful in cases of aggregated search, also known as integrated search in the digital libraries domain. Aggregated search describes the increasingly common IR paradigm of presenting to the user one result list with information from different document and media types, such as Wikipedia entries, Webpages, user-authored content,images, locations, etc. Research into aggregated search addresses the challenge of when and how to fuse different document and media types, and how to present results to the user. An example of aggregated search is the retrieval of scientific content, which involves searching among different domain-dependent document types and structures (e.g. full articles, shortabstracts, tables of content).This workshop aims to stimulate exploratory research in task-based and aggregated search, and to investigate synergies between these two areas

M3 - Book chapter

BT - Proceedings of the ECIR 2012 Workshop on Task-Based and Aggregated Search (TBAS2012)

PB - CEUR

Y2 - 1 April 2012

ER -