Assist Ranker is design to make Chrome smarter by providing client-side machine learning (ML) inference in Chrome. It is designed to be a generic infrastructure that supports ML needs for all Chrome feature teams on all platforms.
Assist Ranker utilizes UKM logging to log per feature-label events. A ML model will be trained in the Cloud based on these logs; and then Assist Ranker will download and inference with the model.
It currently only supports Logistic Regression and Multilayer Neural Networks.
Assist Ranker was experiment on ContextualSearch; but it is not used in any production projects.
Please contact the owners before you use it.