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Tencent Advertising Technology

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Latest from Tencent Advertising Technology

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Tencent Advertising Technology

Nov 28, 2025 · Artificial Intelligence

How Retrv-R1 Redefines Universal Multimodal Retrieval with Reasoning‑Driven MLLM

Retrv‑R1, a reasoning‑driven multimodal large language model framework, tackles the precision‑efficiency dilemma of universal multimodal retrieval by introducing a two‑stage coarse‑to‑fine pipeline, an information‑compression module, a detail‑inspection mechanism, and a three‑stage training strategy, achieving SOTA performance across accuracy, efficiency, and generalization benchmarks.

GeneralizationMLLMReinforcement Learning

0 likes · 21 min read

How Retrv-R1 Redefines Universal Multimodal Retrieval with Reasoning‑Driven MLLM

Tencent Advertising Technology

Nov 20, 2025 · Artificial Intelligence

CoderRec: Latent Reasoning Boosts Sequential Recommendation

CoderRec, a new sequential recommendation framework jointly developed by Tencent Advertising Technology and Tsinghua University, combines domain‑specific latent reasoning with cross‑scale model collaboration to capture implicit user intent and fuse large‑language‑model semantics with traditional recommender signals, achieving state‑of‑the‑art performance on multiple Amazon datasets.

Artificial Intelligencecross-scale collaborationlarge language models

0 likes · 17 min read

CoderRec: Latent Reasoning Boosts Sequential Recommendation

Tencent Advertising Technology

Nov 6, 2025 · Artificial Intelligence

Boosting Web UI Test Efficiency with AIGC: From Manual Scripts to Intelligent Automation

This report examines the challenges of Web UI testing in Tencent's advertising platform, analyzes current inefficiencies, and presents an AIGC-driven solution that leverages large language models, semantic scripts, and automated pipelines to dramatically improve test case generation, execution accuracy, and CI/CD integration.

AIGCWeb UI testingautomation

0 likes · 27 min read

Boosting Web UI Test Efficiency with AIGC: From Manual Scripts to Intelligent Automation

Tencent Advertising Technology

Oct 30, 2025 · Operations

How Tencent Ads Achieved Full‑Automation CI/CD with AI‑Driven Monitoring

This article details Tencent Ads' systematic transformation of its CI/CD pipeline into a fully automated, data‑driven process, highlighting the challenges of manual labor, release quality, and iteration speed, and describing the AI‑powered monitoring and intelligent interception mechanisms that enable zero‑human deployment and multi‑release per day.

AI monitoringDevOpsTencent Ads

0 likes · 31 min read

How Tencent Ads Achieved Full‑Automation CI/CD with AI‑Driven Monitoring

Tencent Advertising Technology

Sep 27, 2025 · Artificial Intelligence

How AI‑Generated Test Cases Transformed Tencent Ads R&D Workflow

This article details how Tencent's advertising R&D team tackled lengthy, experience‑driven test case creation by deploying AIGC‑powered demand analysis, Prompt + RAG knowledge retrieval, and multi‑stage automated validation, ultimately boosting test case adoption from under 20% to nearly 60% while reducing manual effort and iteration time.

AI testingAIGCRAG

0 likes · 14 min read

How AI‑Generated Test Cases Transformed Tencent Ads R&D Workflow

Tencent Advertising Technology

Sep 3, 2025 · Artificial Intelligence

Boosting Ads Revenue: LFM4Ads’ Full‑Representation Multi‑Granular Transfer Raises GMV 2.45%

Tencent's LFM4Ads introduces a full‑representation, multi‑granular knowledge transfer framework that moves user, item, and cross representations from a large foundation model to downstream tasks, achieving up to 2.45% platform GMV uplift across more than ten advertising scenarios.

Knowledge TransferLarge-Scale Dataads recommendation

0 likes · 12 min read

Boosting Ads Revenue: LFM4Ads’ Full‑Representation Multi‑Granular Transfer Raises GMV 2.45%

Tencent Advertising Technology

Aug 31, 2025 · Artificial Intelligence

LFM4Ads: Full-Representation Multi-Granular Transfer Boosts Ad Recommendation

Tencent's LFM4Ads foundation model introduces a full-representation, multi-granular knowledge transfer framework that moves user, item, and cross representations to downstream tasks, dramatically improving ad recommendation metrics across dozens of business scenarios.

Knowledge TransferLarge‑Scale Trainingad recommendation

0 likes · 10 min read

LFM4Ads: Full-Representation Multi-Granular Transfer Boosts Ad Recommendation

Tencent Advertising Technology

Aug 27, 2025 · Artificial Intelligence

How Three Undergrads Turned a Last‑Minute Team into a Top‑4 Finish in Tencent’s AI Competition

A trio of freshly graduated undergraduates formed a team just two days before the deadline, overcame early setbacks by reordering feature engineering, leveraged score‑driven decisions, and ultimately surged to fourth place in Tencent's highly competitive algorithm contest, illustrating resilience and practical AI teamwork.

AI competitionTencentfeature engineering

0 likes · 7 min read

How Three Undergrads Turned a Last‑Minute Team into a Top‑4 Finish in Tencent’s AI Competition

Tencent Advertising Technology

Jul 17, 2025 · Artificial Intelligence

LEADRE: Knowledge‑Enhanced LLMs Supercharge Display Ad Recommendations

The paper introduces LEADRE, a multi‑faceted knowledge‑enhanced large language model‑driven display advertisement recommender that tackles user interest modeling, knowledge alignment, and low‑latency deployment, achieving significant GMV gains in Tencent’s ad platforms through innovative prompt engineering, semantic alignment, and TensorRT‑accelerated inference.

Knowledge AlignmentLLMTensorRT

0 likes · 16 min read

LEADRE: Knowledge‑Enhanced LLMs Supercharge Display Ad Recommendations

Tencent Advertising Technology

Jan 9, 2025 · Artificial Intelligence

Applying Large Language Models to Search Advertising: End‑to‑End Generative Recall and System Optimizations

This report details how large language models (LLMs) were integrated into Tencent's search advertising pipeline—from early extraction‑distillation experiments in 2023 to a 2024 end‑to‑end generative recall architecture—showing significant improvements in relevance, diversity, and revenue through knowledge injection, supervised fine‑tuning, constrained beam‑search decoding, and high‑performance inference services.

AILLMbeam search

0 likes · 11 min read