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

This story is from 2026-09-10. It is preserved in the archive; the latest stories are on the live feed.

In their paper Credit-assigned Policy Gradient for Early Stage Retrieval in Two-stage Ranking, Haruka Kiyohara, Mihaela Curmei, Ariel Evnine, Shankar Kalyanaraman, Israel Nir, Ana-Roxana Pop, Nitzan Razin, Sarah Dean, Thorsten Joachims, and Udi Weinsberg study how to improve early-stage retrieval i…

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  1. 2026-09-10 11:08 · AIhub
    Improving the process for large-scale recommender systems: an interview with Haruka Kiyohara

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