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Tencent Advertising Technology
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Tencent Advertising Technology

Official hub of Tencent Advertising Technology, sharing the team's latest cutting-edge achievements and advertising technology applications.

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Tencent Advertising Technology
Tencent Advertising Technology
Oct 23, 2024 · Artificial Intelligence

FedMix: Boosting Vertical Federated Learning with Data Mixture

This paper introduces FedMix, a method that enhances vertical federated learning by mixing aligned and unaligned data, theoretically demonstrating the value of unaligned data and empirically achieving over 10% ROI improvement and significant AUC gains while keeping computational and communication overhead low.

Federated Learningdata mixtureprivacy
0 likes · 11 min read
FedMix: Boosting Vertical Federated Learning with Data Mixture
Tencent Advertising Technology
Tencent Advertising Technology
Oct 17, 2024 · Artificial Intelligence

Long Sequence Modeling for Advertising Recommendation: TIN, Disentangled Side‑Info TIN, Stacked TIN, and Target‑aware SASRec

This article presents a comprehensive solution for heterogeneous long‑behavior sequence modeling in advertising recommendation, introducing the TIN backbone, Disentangled Side‑Info TIN, Stacked TIN, and Target‑aware SASRec, along with platform‑level optimizations that enable million‑scale sequences while delivering significant online performance gains.

AdvertisingPerformance optimizationSequence Modeling
0 likes · 15 min read
Long Sequence Modeling for Advertising Recommendation: TIN, Disentangled Side‑Info TIN, Stacked TIN, and Target‑aware SASRec
Tencent Advertising Technology
Tencent Advertising Technology
Oct 14, 2024 · Artificial Intelligence

Generative Retrieval Based on Yuan Large Model: Implementation and Practice in Tencent Advertising

This paper presents the implementation and practice of generative retrieval based on Yuan large model in Tencent Advertising, addressing three key challenges: user intent capture, model alignment in advertising domain, and high-performance platform design under ROI constraints.

Generative RetrievalModel OptimizationRecommendation Systems
0 likes · 17 min read
Generative Retrieval Based on Yuan Large Model: Implementation and Practice in Tencent Advertising
Tencent Advertising Technology
Tencent Advertising Technology
Aug 27, 2024 · Artificial Intelligence

Auxiliary Ranking Loss Enhances Classification Ability in Sparse‑Feedback CTR Prediction

This study investigates how adding an auxiliary ranking loss to click‑through‑rate (CTR) models not only improves ranking but also alleviates gradient‑vanishing for negative samples, thereby boosting the primary classification performance, especially under sparse positive‑feedback conditions.

AdvertisingCTR predictiongradient analysis
0 likes · 13 min read
Auxiliary Ranking Loss Enhances Classification Ability in Sparse‑Feedback CTR Prediction
Tencent Advertising Technology
Tencent Advertising Technology
Aug 26, 2024 · Artificial Intelligence

ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising

ADSNet introduces an adaptive Siamese network for cross‑domain lifetime value (LTV) prediction in advertising, leveraging external channel data to mitigate sample sparsity, employing gain‑based sample selection, domain adaptation, and ordinal classification to improve pLTV accuracy and address negative transfer.

AdvertisingDomain AdaptationLTV prediction
0 likes · 12 min read
ADSNet: Cross-Domain LTV Prediction with an Adaptive Siamese Network in Advertising
Tencent Advertising Technology
Tencent Advertising Technology
Aug 15, 2024 · Artificial Intelligence

Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding

This paper introduces RLLR, a label‑sensitive reward reinforcement learning method that improves natural language understanding tasks by aligning training objectives with label accuracy, and demonstrates its effectiveness across eight public NLU datasets and real‑world advertising feature evaluation, outperforming standard RLHF and SFT baselines.

AdvertisingRLHFReinforcement learning
0 likes · 14 min read
Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding
Tencent Advertising Technology
Tencent Advertising Technology
Aug 13, 2024 · Artificial Intelligence

Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors

This paper investigates selection bias in large language models for multiple‑choice tasks, proposes metrics to quantify symbol‑content binding, introduces Reweighting Symbol‑Content Binding (RSCB) and Point‑wise Intelligent Feedback (PIF) methods, and demonstrates their effectiveness in reducing bias and improving accuracy, including a real‑world Tencent advertising feature‑evaluation deployment.

Reinforcement learningSymbol Bindingmultiple choice
0 likes · 16 min read
Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors
Tencent Advertising Technology
Tencent Advertising Technology
Jul 24, 2024 · Artificial Intelligence

Multi-Embedding Paradigm for Scaling Recommendation Models: Mitigating Embedding Dimensional Collapse

This paper investigates the embedding dimensional collapse problem that hinders scaling of recommendation models and proposes a Multi-Embedding paradigm that learns multiple embeddings per feature with independent expert networks, demonstrating consistent performance gains across major CTR benchmarks and real‑world ad systems.

Artificial IntelligenceCTR predictiondeep learning
0 likes · 10 min read
Multi-Embedding Paradigm for Scaling Recommendation Models: Mitigating Embedding Dimensional Collapse
Tencent Advertising Technology
Tencent Advertising Technology
Jul 19, 2024 · Artificial Intelligence

The Brutal Aesthetics of Data and Compute: Scaling Laws, Generative AI, and the Evolution of Advertising Systems

This article explains how the scaling law—massive data, compute, and a simple transformer architecture—drives generative AI breakthroughs, how Tencent applied this principle to build larger ad models and the "Hunyuan" large model, and how advertising systems must evolve to truly understand content and users.

AIDataGenerative AI
0 likes · 11 min read
The Brutal Aesthetics of Data and Compute: Scaling Laws, Generative AI, and the Evolution of Advertising Systems