Official hub of Tencent Advertising Technology, sharing the team's latest cutting-edge achievements and advertising technology applications.
This article details Tencent Advertising's 2022 technical upgrades, highlighting AI models built on the TaiJi machine learning platform, their impact on advertising efficiency, and real‑world case studies across industries, and strategies for private‑domain marketing.
The article presents Tencent Advertising's comprehensive multimedia AI platform—including content understanding, intelligent creation, automated review, fingerprinting, and a large multimodal model—detailing their architectures, key techniques, and the significant performance and efficiency gains achieved across the ad ecosystem.
The award‑winning VLDB 2022 paper introduces HET, a cache‑enabled distributed framework that dramatically reduces communication overhead for sparse trillion‑parameter embedding models, and Tencent Ads has industrialized this technology to train 10 TB‑scale models with up to 7×24‑hour online deep learning.
The paper presents PaSca, a scalable graph neural architecture search system that introduces a new SGAP modeling paradigm, a 150,000‑structure design space, and an automated multi‑objective search engine, achieving high scalability and strong predictive performance on real‑world large‑scale graph tasks.
Tencent Ads hosted two KDD2022‑focused live sessions showcasing the CONFLUX and MVKE algorithms, explaining their technical foundations, real‑world impact on billions of ad impressions, and answering audience questions about brand versus performance ads, validation methods, and future research directions.
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.
At KDD 2022, Tencent Advertising introduced the Multi‑Virtual‑Kernel Experts (MVKE) model, a novel multi‑task architecture that replaces traditional dual‑tower structures with virtual‑kernel experts and a gating mechanism to jointly learn user preferences across multiple actions and topics, achieving superior offline and online performance.
This article presents Tencent's advertising multimedia AI platform, detailing its intelligent video creation engine, fine‑grained ad content understanding, large‑scale similar‑ad retrieval system, and automated ad review pipeline, while also introducing the team and current recruitment opportunities.
The article reports on the seventh China International 'Internet+' College Student Innovation and Entrepreneurship Competition, highlighting its new industry challenge track focused on virtual IP, the award-winning solution from Beijing Institute of Technology using AI-driven digital human production, and Tencent Advertising's virtual human creative service for marketing.
The 2021 Tencent Advertising Algorithm Competition, held as the ACM MM 2021 Grand Challenge, announced the top three teams for two tracks, presented the accepted multimodal video advertising papers with detailed reviewer comments, and highlighted the significance of algorithmic innovation over ranking alone.
