University can be fun: a Carnival-themed lecture in our “Introduction to AI” VO with Roland. A class to remember — hopefully not just for the costumes 😉
@rkwitt.bsky.social #Carnival #Lecture #IntroductionToAI #UniSalzburg #DAS #EXDIGIT
Valentine’s Day❤️ inspired ORF Salzburg's feature on *falling in love with AI*.
Honored to be in „Verliebt in KI“+discuss live today on ORF Radio Salzburg’s Mittagszeit w/Sabine Viktoria Schneider+Martin Ferdiny🎙️
🤖💘
salzburg.orf.at/stories/3338...
#AI #ValentinesDay @unisalzburg.bsky.social #EXDIGIT
Heute wieder RingVL "#Privatsphäre in der digitalen Welt" in #Salzburg, dieses Mal mit einem famosen Vortrag von Prof. Isabel Wagner (Uni Basel) zu "Smart Toys – Wie smartes Spielzeug unsere Kinder überwacht" 👾
Offen für alle, gern weitersagen! Mehr Infos ⤵️
#PLUSPriviDig, #EXDIGIT, #PEPSys
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
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
🎉 Thrilled to receive the #WomenInRecSys Journal Paper of the Year Award 2024 🏆 for our @ACM_TORS paper "Where are the values? A systematic literature review on news recommender systems".
doi.org/10.1145/3654...
Receiving this award 2x in a row (2023+2024) — how cool is that?! 🙌
#recsys #EXDIGIT
Raise the curtain for Konstantin Lackner! 🌟
We are thrilled to have you join our team. Great collaborations and many successes ahead! Let's rock this journey together! 🎸
konstantinlackner.at
#Welcome #TeamSpirit #EXDIGIT
Great news to share 📢
From April 1, I'll be #EXDIGIT professor for #PrivacyEngineering and policy-aligned systems (#PEPSys) at the Paris Lodron University Salzburg's faculty of Digital and Analytical Sciences (#DAS). Together with brilliant colleagues, I'll be fostering excellence in digital…