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Latest from Tencent Advertising Technology

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Tencent Advertising Technology

Aug 20, 2026 · Artificial Intelligence

Chinese Teams Win $3 Million at KDD Cup 2026 with DeepSeek and ChatGPT

At the KDD Cup 2026 in Jeju, South Korea, Chinese teams lozyyeah and sunshot captured the academic and industrial titles, respectively, sharing a $3 million prize pool by pioneering feature‑transport and QueryFormer techniques, leveraging massive real‑world ad data and AI assistants like DeepSeek and ChatGPT.

AI competitionDeep LearningFeature Transport

0 likes · 11 min read

Chinese Teams Win $3 Million at KDD Cup 2026 with DeepSeek and ChatGPT

Tencent Advertising Technology

Aug 19, 2026 · Artificial Intelligence

How I Won the KDD Cup Using DeepSeek’s Web Interface

The author details how, without any API access, they leveraged DeepSeek’s web interface to iteratively develop and refine the QueryFormer model—solving multi‑GPU batch issues, enhancing query generation, and ultimately achieving the TAAC × KDD Cup 2026 industrial track championship.

AutoMLDeepSeekKDD Cup

0 likes · 27 min read

How I Won the KDD Cup Using DeepSeek’s Web Interface

Tencent Advertising Technology

Aug 13, 2026 · Artificial Intelligence

Real-World Industry Problems Take the KDD Stage: Full Highlights of the TAAC 2026 Jeju Island Workshop

The TAAC × KDD Cup 2026 workshop in Jeju Island gathered researchers and engineers from academia and leading tech firms to dissect real‑world recommendation challenges, present the competition’s unified sequence‑modeling and feature‑interaction task, and showcase winning solutions that balance effectiveness, efficiency, and scalability.

KDD CupTAAC 2026large-scale AI

0 likes · 7 min read

Real-World Industry Problems Take the KDD Stage: Full Highlights of the TAAC 2026 Jeju Island Workshop

Tencent Advertising Technology

Aug 8, 2026 · Artificial Intelligence

V-STAR: A Value‑Driven Reinforcement Learning Paradigm for Generative Recommendation

The paper identifies a structural mismatch between probability‑driven beam search and reward‑driven RL fine‑tuning in generative recommendation, proposes V-STAR with value‑guided efficient decoding (VED) and sibling‑wise GRPO to align decoding and optimization, and demonstrates superior offline and online performance through extensive experiments and ablations.

Generative RecommendationOffline EvaluationV‑STAR

0 likes · 13 min read

V-STAR: A Value‑Driven Reinforcement Learning Paradigm for Generative Recommendation

Tencent Advertising Technology

Aug 7, 2026 · Artificial Intelligence

Generative Reinforcement Bidding for Multi-Channel Online Ads: Tencent’s GRB Framework at KDD 2026

The article presents Tencent’s GRB (Generative Reinforcement Bidding) framework, a multi‑slot online advertising solution that combines a Decision‑Transformer‑based generative model with an Offline‑to‑On‑Policy (O2P) training paradigm and an adaptive constraint‑exploration module, and demonstrates statistically significant gains over strong baselines in both offline and large‑scale online A/B tests.

Decision Transformeradaptive constraint explorationgenerative reinforcement bidding

0 likes · 20 min read

Generative Reinforcement Bidding for Multi-Channel Online Ads: Tencent’s GRB Framework at KDD 2026

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)

Tencent Advertising Technology

Jul 14, 2026 · Industry Insights

In‑Depth Interview: HKU Vice President and Tencent Advertising Tech Lead Discuss the Future of AI Talent

A comprehensive dialogue between Hong Kong Chinese University’s vice president and Tencent’s advertising AI experts explores AI frontiers, trustworthy and embodied AI, the four‑generation evolution of recommendation systems, the role of the Tencent Advertising Algorithm Competition in talent development, and practical advice for young professionals navigating the AI‑driven advertising industry.

AIAdvertisingAgentic AI

0 likes · 21 min read

In‑Depth Interview: HKU Vice President and Tencent Advertising Tech Lead Discuss the Future of AI Talent

Tencent Advertising Technology

Jul 9, 2026 · Artificial Intelligence

S‑GRec: Personalized Semantic‑Aware Generative Recommendation with Asymmetric Advantage Alignment

The paper introduces S‑GRec, a semantic‑aware generative recommendation framework that decouples a lightweight online generator from an offline LLM‑based personalized semantic judge, using a novel asymmetric advantage policy optimization to align deep semantic understanding with commercial metrics without adding online latency.

A2POGenerative RecommendationLLM

0 likes · 13 min read

S‑GRec: Personalized Semantic‑Aware Generative Recommendation with Asymmetric Advantage Alignment

Tencent Advertising Technology

Mar 23, 2026 · Industry Insights

Why Tencent’s $885K KDD Cup Challenge Could Redefine Recommendation Systems

The 2026 KDD Cup, powered by Tencent’s Advertising Algorithm Competition with an $885,000 prize pool, challenges participants to unify sequence modeling and feature interaction in large‑scale recommendation systems, offering academic publication paths, real‑world deployment opportunities, and strict latency constraints that push both research and engineering innovation.

AICompetitionKDD Cup

0 likes · 16 min read

Why Tencent’s $885K KDD Cup Challenge Could Redefine Recommendation Systems

Tencent Advertising Technology

Feb 13, 2026 · Frontend Development

How AI‑Native Turns Front‑End Development into a Spec‑Code‑Quality Closed Loop

This article details how Tencent Advertising’s AI‑Native approach restructures front‑end development by centering on spec‑driven repositories, automating code generation, visual verification, and quality checks, ultimately achieving a fully automated AI‑driven development pipeline that reduces coding effort by up to 90 percent.

AISpec-Driven Developmentquality assurance

0 likes · 30 min read

How AI‑Native Turns Front‑End Development into a Spec‑Code‑Quality Closed Loop