Top Tweets for #CDLabRecSys
🚀 #GirlsDay reloaded! An incredible day spent with 6 budding scientists. We demystified algorithms with playful games 🧩🎲. Unleashed their curiosity with a fun ML challenge - cats🐱 vs dogs🐶! Wrapped up with a stylish fashion-recommender game!👠👒
#GirlsInSTEM #CDLabRecSys

🌟 Had a blast hosting 6 brilliant young minds at #Girlsday! They quickly grasped algorithms, linear & binary search through fun games 🎮, and delved into ML with our cats🐱 vs dogs🐶 challenge! Topped it off with a fab fashion-recommendation game! 💃👗 #GirlsInSTEM #CDLabRecSys

Excited to have been a part of ÖAW AI Winter School 2023! We discussed both the benefits and challenges of using sentiment & emotions for ML/RecSys and the importance of populism & toxicity detection. Check out our lecture material: https://t.co/eH0alZaUVR
@oeaw #CDLabRecSys

Spannende Vorträge und Diskussionen beim der #FIfFKon22 in der Archenhold-Sternwarte in Berlin. Auch ich war eingeladen, über mein Forschungsgebiet zu diskutieren. @FIfFKon #CDLabRecSys

I'm glad to present research results of our new #CDLabRecSys on the @FAccTRec workshop at the @ACMRecSys.
Thomas Kolb is presenting the role of bias in news recommendations in the perception of the COVID-19 pandemic. Find the paper here: https://t.co/ArQJtMd4yk
@FAccTRec @ACMRecSys #RecSys22

@ThomasEKolb is currently presenting our work „The Role of Bias in News Recommendation in the Perception of the COVID-19 Pandemic“ with @j_neidhardt and @irinanalis at the @FAccTRec. Check our paper for more details: https://t.co/vhma95ZWF6
#recsys2022 #CDLabRecSys
Still at recsys? In the afternoon session of the PERSPECTIVES workshop, we will discuss, among other papers, our contribution "Diversifying Sentiments in News Recommendation" with @s_hofstaetter, @sophiaalthammer, and @j_neidhardt.
#recsys #perspectives #CDLabRecSys
Presenting our work “Exploring Expressed Emotions for Neural News Recommendation” at @UMAPconf in Barcelona @m_sertkan #CDLabRecSys

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