Archives for recommendation models


A hybrid recommendation system is a special type of recommendation system which can be considered as the combination of the content and collaborative filtering method.
A combined team from Facebook AI Research and Georgia Institute of Technology has come up with a new approach, known as Tensor Train decomposition for DLRMs (TT-Rec), to compress the size of deep learning recommendation models by up to 112 times. Deep neural networks (DNNs) are applied across domains such as predictive forecasting, medical diagnosis,…
The post Explained: Facebook’s Novel Method To Downsize Recommendation Models By 112 Times appeared first on Analytics India Magazine.