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Data for: Multi-Armed Bandits for Adjudicating Documents in Pooling-Based Evaluation of Information Retrieval Systems

Main Author: Losada, David
Other Authors: Barreiro, Álvaro, Parapar, Javier
Format: Dataset
Terbitan: Mendeley , 2017
Subjects:
Information Retrieval
Reinforcement Learning
Search Engine
Online Access: https:/data.mendeley.com/datasets/mpckty8hyr
ctrlnum 0.17632-mpckty8hyr.1
fullrecord <?xml version="1.0"?> <dc><creator>Losada, David</creator><title>Data for: Multi-Armed Bandits for Adjudicating Documents in Pooling-Based Evaluation of Information Retrieval Systems</title><publisher>Mendeley</publisher><description>see http://tec.citius.usc.es/ir/code/pooling_bandits_ms.html</description><subject>Information Retrieval</subject><subject>Reinforcement Learning</subject><subject>Search Engine</subject><contributor>Barreiro, &#xC1;lvaro</contributor><contributor>Parapar, Javier</contributor><type>Other:Dataset</type><identifier>10.17632/mpckty8hyr.1</identifier><rights>Attribution-NonCommercial 3.0 Unported</rights><rights>https://creativecommons.org/licenses/by-nc/3.0</rights><relation>https:/data.mendeley.com/datasets/mpckty8hyr</relation><date>2017-06-22T14:00:16Z</date><recordID>0.17632-mpckty8hyr.1</recordID></dc>
format Other:Dataset
Other
author Losada, David
author2 Barreiro, Álvaro
Parapar, Javier
title Data for: Multi-Armed Bandits for Adjudicating Documents in Pooling-Based Evaluation of Information Retrieval Systems
publisher Mendeley
publishDate 2017
topic Information Retrieval
Reinforcement Learning
Search Engine
url https:/data.mendeley.com/datasets/mpckty8hyr
contents see http://tec.citius.usc.es/ir/code/pooling_bandits_ms.html
id IOS7969.0.17632-mpckty8hyr.1
institution Universitas Islam Indragiri
affiliation onesearch.perpusnas.go.id
institution_id 804
institution_type library:university
library
library Teknologi Pangan UNISI
library_id 2816
collection Artikel mulono
repository_id 7969
city INDRAGIRI HILIR
province RIAU
shared_to_ipusnas_str 1
repoId IOS7969
first_indexed 2020-04-08T08:33:46Z
last_indexed 2020-04-08T08:33:46Z
recordtype dc
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score 17.538404

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