Overview of the TREC 2014 Federated Web Search Track

Thomas Demeester; Dolf Trieschnigg; Dong Nguyen; Djoerd Hiemstra; Ke Zhou

Overview of the TREC 2014 Federated Web Search Track

Thomas Demeester, Dolf Trieschnigg, Dong Nguyen, Djoerd Hiemstra, Ke Zhou

School of Informatics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The TREC Federated Web Search track facilitates research on federated web search, by providing a large realistic data collection sampled from a multitude of online search engines. The FedWeb 2013 Resource Selection and Results Merging tasks are again included in FedWeb 2014, and we additionally introduced the task of vertical selection. Other new aspects are the required link between the Resource Selection and Results Merging tasks, and the importance of diversity in the merged results. After an overview of the new data collection and relevance judgments, the individual participants’ results for the tasks are introduced, analyzed, and compared.

Original language	English
Title of host publication	Proceedings of The Twenty-Third Text REtrieval Conference, TREC 2014, Gaithersburg, Maryland, USA, November 19-21, 2014
Number of pages	14
Publication status	Published - 2014

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http://trec.nist.gov/pubs/trec23/papers/overview-federated.pdf

Cite this

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title = "Overview of the TREC 2014 Federated Web Search Track",

abstract = "The TREC Federated Web Search track facilitates research on federated web search, by providing a large realistic data collection sampled from a multitude of online search engines. The FedWeb 2013 Resource Selection and Results Merging tasks are again included in FedWeb 2014, and we additionally introduced the task of vertical selection. Other new aspects are the required link between the Resource Selection and Results Merging tasks, and the importance of diversity in the merged results. After an overview of the new data collection and relevance judgments, the individual participants{\textquoteright} results for the tasks are introduced, analyzed, and compared. ",

author = "Thomas Demeester and Dolf Trieschnigg and Dong Nguyen and Djoerd Hiemstra and Ke Zhou",

year = "2014",

language = "English",

booktitle = "Proceedings of The Twenty-Third Text REtrieval Conference, TREC 2014, Gaithersburg, Maryland, USA, November 19-21, 2014",

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T1 - Overview of the TREC 2014 Federated Web Search Track

AU - Demeester, Thomas

AU - Trieschnigg, Dolf

AU - Nguyen, Dong

AU - Hiemstra, Djoerd

AU - Zhou, Ke

PY - 2014

Y1 - 2014

N2 - The TREC Federated Web Search track facilitates research on federated web search, by providing a large realistic data collection sampled from a multitude of online search engines. The FedWeb 2013 Resource Selection and Results Merging tasks are again included in FedWeb 2014, and we additionally introduced the task of vertical selection. Other new aspects are the required link between the Resource Selection and Results Merging tasks, and the importance of diversity in the merged results. After an overview of the new data collection and relevance judgments, the individual participants’ results for the tasks are introduced, analyzed, and compared.

AB - The TREC Federated Web Search track facilitates research on federated web search, by providing a large realistic data collection sampled from a multitude of online search engines. The FedWeb 2013 Resource Selection and Results Merging tasks are again included in FedWeb 2014, and we additionally introduced the task of vertical selection. Other new aspects are the required link between the Resource Selection and Results Merging tasks, and the importance of diversity in the merged results. After an overview of the new data collection and relevance judgments, the individual participants’ results for the tasks are introduced, analyzed, and compared.

M3 - Conference contribution

BT - Proceedings of The Twenty-Third Text REtrieval Conference, TREC 2014, Gaithersburg, Maryland, USA, November 19-21, 2014

ER -

Overview of the TREC 2014 Federated Web Search Track

Abstract

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