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Alimama Tech
Alimama Tech
Nov 15, 2023 · Artificial Intelligence

Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking (HC²)

The HC² framework enhances multi‑scenario ad ranking by jointly applying a generalized contrastive loss on shared representations and an individual contrastive loss on scenario‑specific layers, using label‑aware positive sampling, diffusion‑noise negative sampling, and inverse‑similarity weighting, achieving consistent offline gains and up to 2.5% CVR and 3.7% GMV improvements in Alibaba’s live system.

Recommendation systemsad rankingcontrastive learning
0 likes · 16 min read
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking (HC²)
DataFunTalk
DataFunTalk
Dec 21, 2022 · Artificial Intelligence

A Comprehensive Overview of Computational Advertising: Architecture, Deep‑Learning Evolution, and Future Directions

This article provides a thorough examination of computational advertising, covering the oCPM pricing model as a superset, classic system architecture, the evolution of core modules such as ad ranking, pacing, bidding, federated learning, calibration, and conversion‑delay handling, and concludes with career advice for algorithm engineers.

Federated Learningad rankingbudget optimization
0 likes · 29 min read
A Comprehensive Overview of Computational Advertising: Architecture, Deep‑Learning Evolution, and Future Directions
DataFunSummit
DataFunSummit
Sep 13, 2022 · Artificial Intelligence

Elegant Integration of Ads in Search: An Analysis of Baidu's Mobius Approach

This article examines how search advertising can be seamlessly blended with user queries by balancing relevance and revenue, reviewing the evolution from portal indexing to recommendation systems, and detailing Baidu's Mobius framework that jointly optimizes relevance, CTR, and eCPM in a unified pipeline.

MobiusSearch Advertisingad ranking
0 likes · 24 min read
Elegant Integration of Ads in Search: An Analysis of Baidu's Mobius Approach
Tencent Advertising Technology
Tencent Advertising Technology
Aug 16, 2022 · Artificial Intelligence

CONFLUX: A Request-level Fusion Framework for Impression Allocation via Cascade Distillation

The paper presents CONFLUX, a request-level fusion ranking framework that uses linear programming and cascade distillation to allocate ad impressions between contract and real-time bidding ads, improving platform revenue and ad effectiveness while addressing offline training, latency, and model drift challenges.

CONFLUXKDD 2022Linear Programming
0 likes · 14 min read
CONFLUX: A Request-level Fusion Framework for Impression Allocation via Cascade Distillation
Alimama Tech
Alimama Tech
Jul 27, 2022 · Artificial Intelligence

CACS: Cascade Architecture for Creative Selection in Advertising

The Cascade Architecture for Creative Selection (CACS) reorders the advertising pipeline by placing a dual‑tower creative‑selection module ahead of ranking, using soft‑label list‑wise distillation and adaptive dropout to jointly optimize creatives and ads, yielding 5% latency increase but significant CTR and RPM gains in Taobao’s search ads.

ad rankingadaptive dropoutcascade architecture
0 likes · 17 min read
CACS: Cascade Architecture for Creative Selection in Advertising
Tencent Architect
Tencent Architect
Aug 4, 2021 · Artificial Intelligence

How We Accelerated Feature Hashing for Ad Ranking on GPUs

This article explains how Tencent's Light platform reduced the massive overhead of feature hashing in ad‑ranking by moving integer‑to‑string conversion and hash computation to the GPU, introducing custom contiguous string tensors, and achieving up to 12× speed‑up on V100 GPUs.

GPU optimizationPerformance TuningTensorFlow
0 likes · 14 min read
How We Accelerated Feature Hashing for Ad Ranking on GPUs