Official hub of Tencent Advertising Technology, sharing the team's latest cutting-edge achievements and advertising technology applications.
The 2021 Tencent Advertising Algorithm Competition featured live streams on May 10-12, 2021, with experts discussing the competition's technical aspects and practical applications of the Angel distributed machine learning framework.
The Tencent Ad Algorithm Competition, now in its fourth edition, has gained significant academic recognition by aligning with the ACM MM Grand Challenge, introducing new tracks in video advertising technology to address multimedia challenges in the 5G era.
The article explains the exploration‑exploitation dilemma in recommendation systems, introduces the GuideBoot algorithm—an innovative guided bootstrap approach for contextual bandits—describes its Bayesian and non‑Bayesian foundations, presents experimental results on synthetic and real advertising data, and discusses an online learning extension.
Researchers from Tencent Ads and Tsinghua University introduced a novel Generative Adversarial framework, the Representative Negative Instance Generator (RNIG), which creates high‑quality representative negative samples from exposure data to mitigate data imbalance and selection bias, achieving superior performance on CIKM‑2020 ad targeting benchmarks.
The article introduces the GEAR model, a graph‑based evidence aggregation and reasoning framework that leverages BERT representations and graph neural networks to improve multi‑evidence fact verification, discusses its challenges, experimental gains on the FEVER dataset, and potential applications such as fake‑news detection and knowledge‑graph validation.
This article discusses a deep spatial-temporal tensor factorization framework for large-scale user visits understanding and forecasting, addressing challenges in advertising inventory prediction and demonstrating significant improvements over traditional methods.
The 2020 Tencent Advertising Algorithm Live Week presented expert insights on federated learning, machine learning, big data, and deep‑learning applications in advertising, offering a comprehensive Q&A that explains how massive data fuels AI breakthroughs and reshapes business problem solving.
This article summarizes the Q&A session of the 2020 Tencent Advertising Algorithm Competition live series, covering the fundamentals of automated machine learning, its key technologies, current challenges, and the features and advantages of the SolnML system, while also addressing practical concerns such as hardware support and future research directions.
This article summarizes the 2020 Tencent Advertising Algorithm Competition live‑stream series, presenting expert explanations of federated learning, its technical background, typical use cases, privacy and security mechanisms, and answers to common questions about applying federated learning to digital marketing.
The 2020 Tencent Advertising Algorithm Competition concluded in August, followed by a live week featuring top experts sharing cutting-edge knowledge on federal learning, automated machine learning, and deep learning.
