Improving the process for large-scale recommender systems: an interview with Haruka Kiyohara

In their paper Credit-assigned Policy Gradient for Early Stage Retrieval in Two-stage Ranking, and study how to improve early-stage retrieval in two-stage decision processes. We caught up with first author Haruka to find out more. This is a project that she worked on during an internship with the Central Applied Science (CAS) team at Meta. What is the topic of the research in your paper and why is it an interesting area for study? This paper studies how to improve early-stage retrieval in two-stage decision processes.