advertising algorithms

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

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.

HuyaReal-Time Biddingadvertising algorithms

0 likes · 14 min read

User Growth Algorithms and Engineering Practices at Huya Live Streaming

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

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.

AIadvertising algorithmsdeep learning

0 likes · 17 min read

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

Tencent Advertising Technology

Apr 29, 2018 · Artificial Intelligence

Insights and Strategies from Winning the Tencent Advertising Algorithm Competition

The author, a Sun Yat‑sen University undergraduate and repeat weekly champion, shares practical tips on handling large datasets, effective feature engineering, and combining GBDT with a custom deepFFM model to achieve top scores in the Tencent advertising algorithm competition.

Data ProcessingGBDTadvertising algorithms

0 likes · 4 min read

Insights and Strategies from Winning the Tencent Advertising Algorithm Competition

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.

Big DataCTR predictionCVR Prediction

0 likes · 8 min read