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KDD 2026

4 articles · Page 1 of 1
Meituan Technology Team
Meituan Technology Team
Aug 13, 2026 · Artificial Intelligence

Highlights of Meituan’s KDD’26 Papers and the Champion Strategies for the DataAgents Track

This article presents eight Meituan research papers accepted at KDD 2026—covering recommendation foundation models, contrast‑driven reward modeling, agentic search benchmarks, deterministic ad allocation, cross‑domain ETA meta‑generalization, generative ad‑bidding, hierarchical multi‑slot allocation, and distributed generative recommendation training—along with a detailed walkthrough of the team’s winning approach in the KDD Cup 2026 DataAgents competition.

Advertising OptimizationData AgentsKDD 2026
0 likes · 14 min read
Highlights of Meituan’s KDD’26 Papers and the Champion Strategies for the DataAgents Track
Kuaishou Tech
Kuaishou Tech
Aug 5, 2026 · Artificial Intelligence

From Single Advertiser Optimality to Platform‑Wide Win‑Win: Introducing PlatformBid

PlatformBid, the first benchmark designed from a unified advertising‑platform perspective, expands real‑time bidding research beyond DSP‑centric single‑advertiser goals by adding platform‑level constraints, three realistic evaluation settings, and a new Flow‑Matching‑based algorithm (BidFlow) that achieves state‑of‑the‑art performance both offline and in a live Kuaishou e‑commerce deployment, delivering a 0.68% consumption lift.

AdvertisingKDD 2026Reinforcement Learning
0 likes · 16 min read
From Single Advertiser Optimality to Platform‑Wide Win‑Win: Introducing PlatformBid
Tencent Advertising Technology
Tencent Advertising Technology
Jul 17, 2026 · Artificial Intelligence

AdPilot: Fully Autonomous Advertising Delivery via Agentic Reinforcement Learning (KDD 2026)

AdPilot, the first end‑to‑end autonomous advertising agent, reformulates ad delivery as a Markov decision process and combines structured memory, LLM‑enhanced reasoning, and a GRPO‑based reinforcement‑learning engine, while the newly released AdBench benchmark evaluates its superior performance across 38 scenarios and 7,600 instances, outperforming strong baselines by up to 11.76%.

AdBenchAdPilotKDD 2026
0 likes · 16 min read
AdPilot: Fully Autonomous Advertising Delivery via Agentic Reinforcement Learning (KDD 2026)
Alimama Tech
Alimama Tech
May 28, 2026 · Artificial Intelligence

13 KDD'26 Papers from Taobao: Scaling Laws, World Models and New AI Paradigms

The article highlights thirteen Taobao‑group papers accepted at KDD 2026, covering large‑model scaling laws, end‑to‑end generative recommendation, CTR prediction, interactive recommendation agents, LLM‑based pricing, robust auto‑bidding, two‑stage auctions, generative world models, multi‑attribution conversion, uplift modeling and long‑term causal estimation for e‑commerce systems.

CTR predictionGenerative ModelsKDD 2026
0 likes · 29 min read
13 KDD'26 Papers from Taobao: Scaling Laws, World Models and New AI Paradigms