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KDD 2022

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Tencent Advertising Technology
Tencent Advertising Technology
Aug 16, 2022 · Artificial Intelligence

CONFLUX: A Request-level Fusion Framework for Impression Allocation via Cascade Distillation

The paper presents CONFLUX, a request-level fusion ranking framework that uses linear programming and cascade distillation to allocate ad impressions between contract and real-time bidding ads, improving platform revenue and ad effectiveness while addressing offline training, latency, and model drift challenges.

CONFLUXKDD 2022Model Distillation
0 likes · 14 min read
CONFLUX: A Request-level Fusion Framework for Impression Allocation via Cascade Distillation
Alimama Tech
Alimama Tech
May 23, 2022 · Artificial Intelligence

Alibaba Mama Team Papers Accepted at KDD 2022 and Other Top Conferences

The Alibaba Mama technical team secured five paper acceptances at the prestigious KDD 2022 conference, presenting advances such as curriculum‑guided Bayesian reinforcement learning for ROI‑constrained bidding, adversarial‑gradient driven exploration for click‑through‑rate prediction, externality‑aware transformers for e‑commerce ads, multi‑modal multi‑query pretraining, and generative‑replay streaming graph neural networks.

Advertising BiddingGraph Neural NetworksKDD 2022
0 likes · 10 min read
Alibaba Mama Team Papers Accepted at KDD 2022 and Other Top Conferences