PulseAugur
EN
LIVE 03:15:37

Kwai's advertising system boosts revenue with new TWICE prediction framework

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a new framework called TWICE to improve long-horizon conversion prediction in online advertising. This method addresses the challenge of delayed feedback by separating conversion probability from the delay distribution. TWICE was tested in an A/B test on Kwai's advertising system, where it led to significant increases in expected revenue, revenue, and conversions, prompting its full deployment. AI

IMPACT This framework could enhance the effectiveness of online advertising systems by improving prediction accuracy for long-term conversion rates.

RANK_REASON The cluster describes a new research paper detailing a novel framework for conversion prediction, including experimental results and deployment in a real-world system. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.IR (Information Retrieval) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Kwai's advertising system boosts revenue with new TWICE prediction framework

How we ranked this

Signal score
0 / 100
Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket
Tool
The cluster describes a new research paper detailing a novel framework for conversion prediction, including experimental results and deployment in a real-world system. [lever_c_demoted from researc…
Source corroboration
Single-source cluster
Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics
paper, product, infra
Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance
High
Clearly on-topic for AI-industry coverage.
Story freshness
60 days old
Aged out of breaking-news scoring windows; ranking reflects the durable signal from the full source set.

Full methodology in our editorial standards.

COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Xialong Liu ·

    TWICE: Two-Clock, Two-Window Learning for Long-Horizon Conversion Prediction in Online Advertising

    Long-horizon conversion prediction under delayed feedback creates a two-clock, two-window learning problem in online advertising. A short base observation window releases recent clicks on the click clock before their outcomes mature, whereas conversions continue to arrive on the …

RELATED ENTITIES

RELATED TOPICS