Hi, my name is Chan Kha Vu. I’m currently a Machine Learning engineer at Microsoft in Seattle, working on ranking models at a search engine called Bing. This blog is a place where I share my thoughts and study notes on machine learning, mathematics, and software engineering.
Learning to Rank in Web Search
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.