Know-Center contributions at conference WWW’2018

Elisabeth Lex and Dominik Kowald will present a Know-Center contribution from the H2020 project AFEL at the conference WWW’2018.

We are happy to announce that Elisabeth Lex, area head of Know-Center’s Social Computing research area, and Dominik Kowald, Post-Doc in Know-Center’s Social Computing research area, will present a Know-Center contribution from the H2020 project AFEL at the A* conference WWW’2018. The paper is entitled “The Impact of Semantic Context Cues on the User Acceptance of Tag Recommendations: An Online Study” and was written together with our scientific partners Paul Seitlinger and Tobias Ley from Tallinn University. This online study reports on results from an work-integrated bookmarking experiment and shows that a tag recommendation algorithm, which is designed using a cognitive model, leads to a higher user acceptance than a purely data-driven baseline approach. A pre-print of the paper can be found here. It will be presented in Lyon, France between the 23rd and 27th of April in an interactive poster session.

 

Furthermore, Elisabeth Lex and Dominik Kowald have another WWW’2018 contribution together with Angela Fessl and Stefan Thalmann, two Post-Docs from Know-Center’s Data-Driven Business research area. This paper is entitled “AFEL – Analytics for Everyday Learning” and will be presented in the International Projects track at the conference by the AFEL project scientific coordinator Mathieu d’Aquin from NUIG Galway, Ireland. A pre-print of the paper can be found here

Finally, the area head of Social Computing Elisabeth Lex will also present a contribution entitled “Recommender Systems as Enabling Technology to Interlink Scholarly Information” in the Workshop on Researcher Centric Scholarly Communication. This contribution was written together with Tony Ross-Hellauer and Dominik Kowald, the two Post-Docs in the Social Computing research area. The corresponding blogpost on the OpenUP-Hub can be found here

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