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Evaluation Infrastructures for Academic Shared Tasks

  • Academic search systems aid users in finding information covering specific topics of scientific interest and have evolved from early catalog-based library systems to modern web-scale systems. However, evaluating the performance of the underlying retrieval approaches remains a challenge. An increasing amount of requirements for producing accurate retrieval results have to be considered, e.g., close integration of the system’s users. Due to these requirements, small to mid-size academic search systems cannot evaluate their retrieval system in-house. Evaluation infrastructures for shared tasks alleviate this situation. They allow researchers to experiment with retrieval approaches in specific search and recommendation scenarios without building their own infrastructure. In this paper, we elaborate on the benefits and shortcomings of four state-of-the-art evaluation infrastructures on search and recommendation tasks concerning the following requirements: support for online and offline evaluations, domain specificity of shared tasks, and reproducibility of experiments and results. In addition, we introduce an evaluation infrastructure concept design aiming at reducing the shortcomings in shared tasks for search and recommender systems.

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Metadaten
Author:Johann Schaible, Timo Breuer, Narges Tavakolpoursaleh, Bernd Müller, Benjamin Wolff, Philipp Schaer
URN:urn:nbn:de:hbz:832-epub4-22548
DOI:https://doi.org/10.1007/s13222-020-00335-x
ISSN:1618-2162
ISSN:1610-1995
Parent Title (English):Datenbank-Spektrum
Publisher:Springer Berlin Heidelberg
Document Type:Article
Language:English
Date of first Publication:2020/03/01
Date of Publication (online):2023/06/01
GND-Keyword:Evaluation
Tag:Domain-Specific Academic Search; Evaluation Infrastructures; Online/Offline Evaluation; Reproducibility
Volume:20
Issue:1
Page Number:8
Institutes:Informations- und Kommunikationswissenschaften (F03) / Fakultät 03 / Institut für Informationswissenschaft
Informatik und Ingenieurwissenschaften (F10) / Fakultät 10 / Institut für Informatik
Dewey Decimal Classification:000 Allgemeines, Informatik, Informationswissenschaft
Open Access:Open Access
DeepGreen:DeepGreen
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International