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 an AFEL contribution at the A* conference WWW’2018 (https://www2018.thewebconf.org/)
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 Paul Seitlinger and Tobias Ley, who is also part of the AFEL advisory board, 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 http://www.dominikkowald.info/documents/2018www_study.pdf and it will be presented in Lyon, France between the 23rd and 27th of April in an interactive poster session.
Furthermore, the AFEL consortium has another two contributions at WWW’2018:
Tempelmeier, N., Demidova, S., Dietze, S., Inferring Missing Categorical Information in Noisy and Sparse Web Markup, The Web Conference 2018 (WWW2018), 27th edition of the former WWW conference, research track, ACM, Lyon, France, 23-27 April 2018.
D’Aquin, M., Kowald, D., Fessl, A., Lex, E., & Thalmann, S. (2018). AFEL – Analytics for Everyday Learning. In Proceedings of the International Projects Track co-located with the 27th International World Wide Web Conference (WWW’2018). ACM.
Thus, it is going to be a very successful conference for the project!