YouTube announces a customizable “For You” recommendations section on channels
YouTube announced on X (Twitter) that they are about to introduce a new “For You” section in channels’ home tabs. These tabs recommend a mix of content from the particular channel and recommendations based on a user’s watch history. YouTube further asks creators to update their settings and select appropriate formats before YouTube rolls out the new feature on the 20th of November 2023.
WhizzCo predicts for each page view, which recommendation provider is best
Yahoo! acquires ‘Artifact’ and integrates its Recommendation Engine into Yahoo! News
Die Maschine Empfiehlt / Recommended by algorithms (Press Release Siegen U)
About The Author
Joeran Beel
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).