Tencent Advertising Multimedia AI: Systems, Technologies, and Business Applications

Tencent Advertising adopts a "technology for efficiency" strategy, building a multimedia AI technology matrix that powers the next‑generation ad system and improves ad understanding, creation, review, and fingerprinting.

【巨阙】Ad Content Understanding provides multi‑dimensional, fine‑grained semantic analysis of products, creative assets, and landing pages using a multimodal pre‑training model trained on tens of millions of ad samples, enabling product, creative, and page understanding with reduced labeling effort.

【乾坤】Ad Intelligent Creation is an end‑to‑end video generation engine that combines multimodal transformers, rendering clusters, quality‑control rules, and a large element library to produce tens of thousands of videos daily, supporting automatic copy generation, video resizing, and virtual‑effect pipelines.

【神针】Ad Intelligent Review integrates four capabilities—automatic judgment, similarity reuse, negative detection, and a rule engine—using multimodal multi‑label classification and deep metric learning to audit images, text, video, and landing pages with high precision and scalability.

【天印】Ad Fingerprint System creates hierarchical fingerprint IDs, embeddings, and hash‑quantized signatures for ads, products, and assets, enabling fast visual‑similarity retrieval, duplicate‑ad mitigation, and stable recommendation performance.

【混元】AI Large Model is a multimodal content‑understanding foundation model featuring multi‑scale visual fusion, hierarchical attention interaction, and large‑scale adversarial training; it also supports multimodal copy generation and cross‑modal video‑text retrieval with state‑of‑the‑art results on benchmark datasets.

These technologies have been deployed across the entire ad chain—recall, ranking, creative tools, and safety review—resulting in over 60 new feature capabilities, significant GMV growth, reduced manual effort, and a leading position in industry AI infrastructure.