Welcome to RS_c, the central platform for the RecSys community. We provide curated lists of recommender-systems datasets, algorithms, books, conferences and many resources more. Maybe most importantly, we publish the latest recommender-system news. If you want your news to be reported on RS_c, read here.
Google adds personalization features to its Pixel phones
December 9, 2020
Harrison Lingren from Google announced a number of new features for Google’s Pixel phones, some relating to personalization. These features include
Adaptive Sound, which adjusts the sound of your phone based on the surroundings.
Adaptive Battery, which “automatically saves even more power if a user is likely to miss their next charge”. It also automatically adapts how quickly the Pixel charges during the night based on a set alarm in the morning.
Adaptive Connectivity, which switches automatically between 4G and 5G depending on what you do on your phone.
I am the founder of Recommender-Systems.com and head of the Intelligent Systems Group (ISG) at the University of Siegen, Germany https://isg.beel.org. We conduct research in recommender-systems (RecSys), personalization and information retrieval (IR) as well as on automated machine learning (AutoML), meta-learning and algorithm selection. Domains we are particularly interested in include smart places, eHealth, manufacturing (industry 4.0), mobility, visual computing, and digital libraries.
We founded or maintain, among others, LensKit-Auto, Darwin & Goliath, Mr. DLib, and Docear, each with thousand of users; we contributed to TensorFlow, JabRef and others; and we developed the first prototypes of automated recommender systems (AutoSurprise and Auto-CaseRec) and Federated Meta Learning (FMLearn Server and Client).