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Kuaishou Large Model
Kuaishou Large Model
Sep 24, 2025 · Artificial Intelligence

How Generative Reinforcement Learning is Revolutionizing Real-Time Bidding

The article explains the core challenges of real‑time bidding, reviews Kuaishou's evolution from PID to MPC to reinforcement learning, and introduces generative reinforcement‑learning methods (GAVE and CBD) that combine decision transformers or diffusion models with value‑guided exploration and score‑based RTG, achieving significant offline and online performance gains.

advertising algorithmsdiffusion modelsgenerative reinforcement learning
0 likes · 15 min read
How Generative Reinforcement Learning is Revolutionizing Real-Time Bidding
Kuaishou Tech
Kuaishou Tech
Sep 23, 2025 · Artificial Intelligence

How Generative Reinforcement Learning is Revolutionizing Real-Time Bidding

This article explains the core challenges of real‑time bidding, traces the evolution from PID to MPC to reinforcement learning, and details how generative reinforcement‑learning techniques such as GAVE and CBD combine diffusion models, value‑guided exploration, and score‑based return‑to‑go to dramatically improve ad‑bid efficiency and revenue.

CBDGAVEadvertising algorithms
0 likes · 15 min read
How Generative Reinforcement Learning is Revolutionizing Real-Time Bidding
DataFunTalk
DataFunTalk
Mar 28, 2024 · Artificial Intelligence

Multi-Task and Multi-Scenario Algorithms for Recommendation Systems: Methods, Challenges, and Applications

This article presents a comprehensive overview of multi‑task and multi‑scenario recommendation algorithms, detailing background challenges, algorithm classifications such as TAML, CausalInt, and DFFM, their modular designs, experimental validations, and practical Q&A insights for large‑scale advertising systems.

Recommendation Systemsadvertising algorithmsmachine learning
0 likes · 19 min read
Multi-Task and Multi-Scenario Algorithms for Recommendation Systems: Methods, Challenges, and Applications
DataFunTalk
DataFunTalk
Aug 27, 2022 · Artificial Intelligence

User Growth Algorithms and Engineering Practices at Huya Live Streaming

This article details Huya's comprehensive user growth framework, covering the full acquisition‑activation‑retention‑revenue funnel, advertising workflow, crowd targeting stages, uplift modeling, virtual callbacks, intelligent bidding, and engineering implementations such as material automation, low‑latency RTA filtering, and dynamic strategy operators.

HuyaUplift Modelingadvertising algorithms
0 likes · 14 min read
User Growth Algorithms and Engineering Practices at Huya Live Streaming
Alimama Tech
Alimama Tech
May 25, 2022 · Artificial Intelligence

UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation

The paper introduces UKD, an uncertainty‑regularized knowledge‑distillation framework that uses a click‑adaptive teacher to generate pseudo‑conversion labels for unclicked impressions and trains a student model with uncertainty‑weighted loss, thereby mitigating sample‑selection bias and achieving up to 3.4% CVR improvement and 4.3% CPA reduction on large‑scale advertising datasets.

CVR debiasingadvertising algorithmsconversion rate estimation
0 likes · 20 min read
UKD: Debiasing Conversion Rate Estimation via Uncertainty-regularized Knowledge Distillation
58 Tech
58 Tech
Oct 25, 2019 · Artificial Intelligence

AI Applications in 58.com: Voice Dialogue, Advertising Algorithms, Recommendation Systems, and Deep Learning Platform

58 Group’s recent technical salon showcased how AI technologies such as voice dialogue robots, intelligent advertising algorithms, personalized recommendation systems, and a Kubernetes‑based deep learning platform are being deployed across its real‑estate, recruitment, used‑car, and local services businesses to improve efficiency, user experience, and revenue.

AIKubernetesadvertising algorithms
0 likes · 17 min read
AI Applications in 58.com: Voice Dialogue, Advertising Algorithms, Recommendation Systems, and Deep Learning Platform
Meituan Technology Team
Meituan Technology Team
Nov 23, 2017 · Artificial Intelligence

O2O Machine Learning Applications Seminar

The O2O Machine Learning Applications Seminar, featuring experts from Meituan‑Dianping and Alibaba, explores real‑world ML implementations for online‑to‑offline services, including online learning for search, Alibaba’s Ali Xiaomi intelligent assistant, deep‑learning‑driven recommendation systems, and advertising algorithms such as CTR and CVR optimization, sharing practical insights and best practices.

Deep LearningO2OOnline Learning
0 likes · 5 min read
O2O Machine Learning Applications Seminar
Tencent Advertising Technology
Tencent Advertising Technology
May 16, 2017 · Artificial Intelligence

Differences and Similarities between Click-Through Rate (CTR) Prediction and Conversion Rate (CVR) Prediction in the Tencent Social Advertising Competition

This article compares click‑through rate (CTR) prediction and conversion rate (CVR) prediction in the context of Tencent’s social advertising competition, highlighting their shared binary‑classification nature while detailing key differences in data collection, feedback latency, product‑type bias, definition richness, and data sparsity.

CTR predictionCVR Predictionadvertising algorithms
0 likes · 8 min read
Differences and Similarities between Click-Through Rate (CTR) Prediction and Conversion Rate (CVR) Prediction in the Tencent Social Advertising Competition