About DARS
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The DARS research group performs cutting-edge research in methods (e.g., AI methods to predict user behavior) and applications (e.g., intelligent user interfaces) in the context of behavioral data analytics and recommender systems. We closely collaborate with both academic and industrial partners in Norway, the EU, and beyond, contributing to聽, as well as to current AI-related research challenges in the Norwegian industry sectors. Current main research application areas of DARS include: media, finance, energy, and health.
The research group is a spin-out of the聽Intelligent Information Systems (I2S) group聽at the聽Department of Information Science and Media Studies聽at the聽University of Bergen. DARS closely collaborates with the聽Centre for Data Science (CEDAS)聽at the University of Bergen, the聽, and conducts research in collaboration with a network of renowned national and international scholars in the context of behavioral data analytics and recommender systems.
Outputs are published in leading conferences and journals in the field of computer & information science and interdisciplinary venues such as: NATURE Sustainability, PlosOne, JASIST, EPJ Data Science, UMUAI, WWW, ICWSM, ACM IUI, ACM UMAP, ACM SIGIR, and ACM RecSys. The core research group members have won several Best Paper/Poster Awards and Nominations, including, the Best Paper Award Honorable Mention at WWW'17. The core team is involved in the co-organization of leading conferences in their fields of research such as聽,听听辞谤听聽and teaches tech-related courses such as Information Systems, Advanced Programming in Python or Recommender Systems at the University of Bergen.