The Principled Approach to Early Ranking Stages

A systematic method for designing and evaluating candidate generation and early ranking stages in recommender systems, with an in-depth analysis of the core guiding principle.

It is well known that in recommendation systems, there are several stages of building recommendations: first comes candidate generation, also often referred to as retrieval, followed by one or more stages of ranking. Academic papers do not pay much attention to the early stages. But in practice, they are quite important. And it is important …

analysis building core designing information-retrieval machine learning ranking recommendation recommendations recommendation-system recommendation systems recommender systems retrieval systems