Title
A Recommender System for EOSC. Challenges and Possible Solutions
Authors
[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ P ] employee
Scientific discipline (Law 2.0)
Year of publication
2022
Chapter type
chapter in monograph / paper
Publication language
english
Keywords
EN
- EOSC
- recommender system
- recommendations
- user experience
Abstract
EN European Open Science Cloud (EOSC) is a pan-European environment providing researchers with a plethora of publicly-available, open resources and services to help them to conduct their research. Availability of publications, datasets, computational power, networks or storage allows researchers to concentrate on their research rather than the technical infrastructures. However, the plenitude and diversity of items offered in EOSC increases and becomes overwhelming for researchers who expect guidance and support. Recommender systems allow them to assign rankings to subject object, based on their value for specific end users, inferred from diverse data about them, their behaviour or various relationships between users and objects. In this paper we present architectural and functional challenges related to the EOSC Recommender System that could substantially improve the experience of researchers using EOSC offerings.
Date of online publication
14.05.2022
Pages (from - to)
70 - 87
Ministry points / chapter
20.0
Ministry points / conference (CORE)
70.0
System created by Poznań University of Technology
and Poznan Supercomputing and Networking Center
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