Eye-catching news stating lack of advances in some AI fields like #recsys are somewhat innacurate https://www.sciencemag.org/news/2020/05/eye-catching-advances-some-ai-fields-are-not-real

The @ScienceMagazine article cites last year’s best paper at @ACMRecSys to sustain the argument https://dl.acm.org/doi/abs/10.1145/3298689.3347058 however the aforementioned paper is good but the title is very tendentious [next]

The paper states lacks of reproducibility of certain neural #recsys approaches, but all the methods tested were using only (user,item,feedback) data, no images, no text. It makes little sense because most AI avances in the latest years have been in computer vision and NLP [next]

If you seriously check the literature on #recsys you will notice big progress thanks to AI, and not only deep learning: RL, unsupervised learning, generative methods, federated learning.. [next]