Ben FredericksonBuilding Recommender SystemsArnie B.Here is a curated collection of my favourite posts for people starting out in recommender systems and personalization. This was created in preparation for our summer interns in the recommendations team at Flipboard!
Ben FredericksonMachine Learning A Case For Embeddings In Recommendation Problems abhadury.com Once you have worked on different machine learning problems, most things in the field start to feel very similar. You take your raw input data, map …
Ben Frederickson An Epidemic of AI Misinformation thegradient.pub - Gary Marcus Maybe every paper abstract should have a mandatory field of what the limitations of the proposed approach are. That way some of the science …
Ben Frederickson The State of Machine Learning Frameworks in 2019 thegradient.pub - Horace He Since deep learning regained prominence in 2012, many machine learning frameworks have clamored to become the new favorite among researchers and …
Ben FredericksonIcon version of the Flipboard logo Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches arxiv.org - Maurizio Ferrari Dacrema, Paolo Cremonesi, Dietmar Jannach Abstract: Deep learning techniques have become the method of choice for researchers working on algorithmic aspects of recommender systems. With the …
