Survey

Learning to Rank (LTR) is a core component of any recommendation system. It is the algorithm that forms the final list of items to be shown to the user. This blog post is a comprehensive introduction to the basics of LTR and Unbiased LTR. Hopefully, it will give you enough context to build your own models or to understand more recent research in the field.

A brief survey of common supervised approaches for Deep Metric Learning, as well as the new methods proposed in recent years.

An in-depth survey on Multi-Task Learning techniques that works like a charm as-is right from the box and are easy to implement – just like instant noodle!