A Recommender System for EOSC. Challenges and Possible Solutions
[ 1 ] Instytut Informatyki, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ D ] phd student | [ P ] employee
chapter in monograph / paper
- recommender system
- user experience
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.
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