advertising recommendation

DataFunSummit

Dec 11, 2024 · Artificial Intelligence

Exploring Large‑Model Applications in Advertising: The COPE and LEARN Frameworks at Kuaishou

This article reviews Kuaishou's two‑year exploration of large‑model and multimodal techniques for advertising, detailing the challenges of content‑domain ad estimation, the COPE unified product representation framework, and the LEARN LLM knowledge‑transfer approach, and reports the resulting business gains.

LLM knowledge transferadvertising recommendationcross‑domain behavior

0 likes · 16 min read

Exploring Large‑Model Applications in Advertising: The COPE and LEARN Frameworks at Kuaishou

JD Retail Technology

Nov 23, 2023 · Artificial Intelligence

Recent Advances in Advertising Recommendation Algorithms and Their Applications

This article reviews recent progress in advertising recommendation technologies, covering deep learning‑based ranking, sequence modeling, self‑supervised learning, online and reinforcement learning, multimodal recommendation, and fairness, and details four key breakthroughs—data‑driven incremental learning, dynamic group parameter modeling, bilateral interactive graph convolution, and a relation‑aware diffusion model for poster layout generation, along with experimental results and future challenges.

CTR predictionDeep LearningGraph Neural Networks

0 likes · 25 min read

Recent Advances in Advertising Recommendation Algorithms and Their Applications

37 Interactive Technology Team

Jul 12, 2018 · Artificial Intelligence

Tag‑Based Precise Advertising Recommendation Algorithm for Low‑Volume Channels

The paper presents “Xianzhi,” a tag‑based precise advertising recommendation algorithm for low‑traffic channels that combines artist‑created material tags, cookie‑derived user tags, and confidence‑adjusted tag‑CTR matrices—enhanced by Wilson intervals, time‑window weighting, dimension aggregation, and objective weighting—to alleviate data sparsity and cold‑start issues, achieving roughly a 10 % CTR lift in online A/B tests.

Wilson-intervaladvertising recommendationclick-through rate

0 likes · 13 min read

Tag‑Based Precise Advertising Recommendation Algorithm for Low‑Volume Channels