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kowisalzburg.bsky.social
Am FB Kommunikationswissenschaft werden Studienassistent:innen-Stellen für das Sommersemester 2026 besetzt.

#kowisbg #studienassistenzen #jobs #unisbg #bewerben
Ausschreibung - Studienassistenzen - Sommersemester 2026
Ausschreibung von Studienassistent:innen-Stellen am FB KoWi/Universität Salzburg Am FB Kommunikationswissenschaft werden Studienassistent:innen-Stellen für da
www.kowi-salzburg.at
December 10, 2025 at 1:22 PM
christinebauer.bsky.social
Excited to see our paper, "Where Are the Values? A Systematic Literature Review on News Recommender Systems" (doi.org/10.1145/3654...), selected as a #TORS EIC Featured Article for 2024!

Great collaboration with @kfvanes.bsky.social 🚀📚

#ACMTORS #RecSys #News #vales #EXDIGIT #PLUS #UniSbg
TORS EIC Selected 2024 Featured Articles ACM Transactions on Recommender Systems Co-Editors-in-Chief Li Chen, Hong Kong Baptist University, China Dietmar Jannach, University of Klagenfurt, Austria ACM Transactions on Recommender Systems (TORS) publishes high quality papers that address various aspects of recommender systems research, from algorithms to the user experience, to questions of the impact and value of such systems, on a quarterly basis. The journal takes a holistic view on the field and calls for contributions from different subfields of computer science and information systems, such as machine learning, data mining, information retrieval, web-based systems, data science and big data, and human-computer interaction. Moreover, interdisciplinary research works are welcome as well. Such works may either be based on insights from related fields, e.g., marketing or psychology, or apply recommendation technology in novel application areas. Recommender Systems TORS EICs are pleased to announce the following 2024 Featured Articles: Values into Recommender Systems: An Interdisciplinary Synthesis Where Are the Values? A Systematic Literature Review on News Recommender Systems Revisiting Bundle Recommendation for Intent-aware Product Bundling Towards a Causal Decision-Making Framework for Recommender Systems Assessing the Impact of Music Recommendation Diversity on Listeners: A Longitudinal Study
February 28, 2025 at 8:18 PM