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New Paper Proposes One-Pass Inference for Efficient Whole-Page Ranking

This story is from 2026-11-05. It is preserved in the archive; the latest stories are on the live feed.

An arXiv paper presents an approach to whole-page ranking that jointly optimizes advertisements and organic content in a single inference pass, balancing business outcomes and user engagement under complex layout constraints.

Read the full story at arXiv stat.ML ↗

Timeline · 1 report

  1. 2026-11-05 05:00 · arXiv stat.ML
    Towards Efficient Whole Page Ranking with One-Pass Inference

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