🔥 Our book “A Human-Centered Perspective of Intelligent Personalized Environments and Systems” is available to read now!
https://t.co/6cXmdFF6sc
The book is an edited effort by @b_ferwerda, @newmarrk, Panagiotis Germanakos, and (1/6)
[Read all about it]
My work with @ayelmajjodi and @ctrattner on food recommender systems, and my study with @b_ferwerda on visual and linguistic framing.
Preparing to present:
“Computational vs Perceived Popularity Miscalibration in RecSys” @SIGIR2023!
Can offline metrics capture user perception of popularity bias? We investigate together with @escobedogustav@yashardel@b_ferwerda@SKopeinik @elisab79 @navidrekabsaz @m_schedl
At 11:00 PDT / 20:00, I'll present “Examining Choice Overload across Single-list and Multi-list User Interfaces”, by myself, @b_ferwerda and our students @JonkopingUni Justyna Sedkowska, Mihir Chouhan. Paper @IntRSworkshop is here: https://t.co/uESOAp9Mot. #RecSys2022
2/7
Paper news :-)
The #CHI2022 LBW paper w/@b_ferwerda is online:
"To Flip or Not to Flip: Conformity Effect Across Cultures"
https://t.co/UbX3ZUdaCI
We used a music playlist creation setting to study conformity behavior. The findings might be useful for group recommenders, too :)
🚨The #RecSys2022 Challenge has started!🚨
Registration to join the RecSys Challenge is now open. This means you can download the dataset that has been provided by our Fashion-AI expert partner @dressipi.
Check out the details on the Challenge website: https://t.co/r2KBWfvfYb
Are you ready?
The #RecSys2022 Challenge is set to start on March 7!
We are proud to reveal that this year's challenge is in collaboration with Fashion-AI experts @dressipi: https://t.co/r2KBWfMRmL.
You can find more about Dressipi on their website: https://t.co/xFsIaKIcCX.
We are looking forward to reading you submission for the "Human Issues in Recommender Systems" Research Topic in @FrontiersIn Big Data (Recommender Systems).
w/ @b_ferwerda
Lots of different article types are accepted: https://t.co/0GKNJFAlQ4
#RS_c#RecSys#humanissues#CfP