multi-scenario | BestHub

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

Nov 9, 2023 · Artificial Intelligence

Multi‑Task and Multi‑Scenario Algorithms for Recommendation Systems – A Huawei Case Study

This article presents Huawei's research on applying multi‑task and multi‑scenario learning to advertising recommendation, covering background challenges, algorithm taxonomy, detailed designs of TAML, CausalInt and DFFM models, experimental results, and a Q&A session.

AIHuaweiadvertising

0 likes · 20 min read

Multi‑Task and Multi‑Scenario Algorithms for Recommendation Systems – A Huawei Case Study

AntTech

Oct 30, 2023 · Artificial Intelligence

AntM2C: A Large-Scale Multi‑Scenario Multi‑Modal CTR Prediction Dataset from Alipay

AntM2C is a publicly released, billion‑sample click‑through‑rate (CTR) dataset covering five distinct Alipay business scenarios, providing both ID and rich multi‑modal (text and image) features to enable comprehensive evaluation of multi‑scenario, cold‑start, and multi‑modal CTR models at industrial scale.

Large Scalectrdataset

0 likes · 14 min read

AntM2C: A Large-Scale Multi‑Scenario Multi‑Modal CTR Prediction Dataset from Alipay

DaTaobao Tech

Apr 28, 2023 · Artificial Intelligence

Multi-Scenario Recommendation Model

The paper introduces SASS, a scenario-adaptive self-supervised recommendation model that uses contrastive pre-training and multi-layer gating to expand global samples and transfer scene-aware parameters, enabling a single model to deliver personalized recommendations across diverse Taobao ‘SuoSuo’ scenarios while mitigating data sparsity and cross-domain challenges.

AIData ModelingRecommendation systems

0 likes · 23 min read

DaTaobao Tech

Jan 9, 2023 · Artificial Intelligence

Adaptive and Self-Supervised Multi-Scenario Modeling for Taobao Personalized Recommendation

On January 9 from 19:00 to 20:00, algorithm engineer Zhang Yuanliang will present Taobao’s scenario-adaptive, self-supervised multi-scenario recommendation model, detailing its architecture, experimental results, and practical deployment for improving personalized item recall across diverse user contexts.

algorithmmulti-scenariopersonalization

0 likes · 1 min read

Adaptive and Self-Supervised Multi-Scenario Modeling for Taobao Personalized Recommendation

JD Retail Technology

Dec 11, 2017 · Big Data

Data Model Component Management Platform: Functions and Practices

The presentation introduces JD's Data Model Component Management Platform, detailing its four core functions—risk control, effect evaluation, model fusion, and multi‑scenario application—while explaining how these capabilities improve model reliability, commercial value, and operational efficiency across numerous business products.

Big DataJDModel Fusion

0 likes · 8 min read

Data Model Component Management Platform: Functions and Practices