multi-scenario modeling

DataFunSummit

Sep 18, 2024 · Artificial Intelligence

Multi‑Scenario Modeling for NetEase Cloud Music Recommendation: Architecture, Challenges, and Results

This article presents NetEase Cloud Music's multi‑scenario recommendation modeling work, covering background, overall system architecture, key modules such as unified and private domain networks, modeling objectives and difficulties, experimental results, future outlook, and a detailed Q&A session.

NetEase Cloud MusicRecommendation systemsai

0 likes · 13 min read

Multi‑Scenario Modeling for NetEase Cloud Music Recommendation: Architecture, Challenges, and Results

DataFunTalk

Aug 7, 2024 · Artificial Intelligence

Multi-Scenario Modeling for NetEase Cloud Music Recommendation: Architecture, Challenges, and Results

This article presents NetEase Cloud Music's multi‑scenario recommendation modeling work, detailing background, overall system architecture, key modules, modeling goals, technical difficulties, performance improvements, future outlook, and a comprehensive Q&A session that addresses practical deployment challenges.

AB testingNetEase Cloud Musicai

0 likes · 14 min read

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

DataFunSummit

Dec 5, 2023 · Artificial Intelligence

Scenario-Adaptive and Self-Supervised Multi-Scenario Personalized Recommendation (SASS)

This article presents a comprehensive study of a scenario‑adaptive and self‑supervised multi‑scenario recommendation model (SASS) for Taobao, detailing its motivation, adaptive multi‑scenario architecture, two‑stage pre‑training and fine‑tuning, experimental validation, deployment in the recall stage, and practical challenges addressed through Q&A.

AlibabaRecommendation systemsmulti-scenario modeling

0 likes · 36 min read

Scenario-Adaptive and Self-Supervised Multi-Scenario Personalized Recommendation (SASS)

DataFunSummit

Oct 9, 2023 · 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 algorithms applied to recommendation systems, covering background challenges, algorithm taxonomy, recent research, detailed model architectures such as TAML, CausalInt and DFFM, experimental results on public and private datasets, and a Q&A discussion.

Recommendation systemsadvertisingmachine learning

0 likes · 20 min read

DataFunTalk

Apr 10, 2023 · Artificial Intelligence

Scenario-Adaptive and Self-Supervised Multi-Scenario Personalized Recommendation (SASS): Design, Training, and Deployment

This article presents a comprehensive study of multi‑scenario personalized recommendation, introducing a scenario‑adaptive and self‑supervised model (SASS) that jointly addresses data sparsity, domain adaptation, and recall‑stage deployment through a two‑stage training pipeline and extensive experiments on Alibaba’s Taobao platform.

AlibabaRecommendation systemsmulti-scenario modeling

0 likes · 36 min read

Scenario-Adaptive and Self-Supervised Multi-Scenario Personalized Recommendation (SASS): Design, Training, and Deployment

DaTaobao Tech

Dec 28, 2022 · Artificial Intelligence

Adaptive Multi-Scenario Modeling for Taobao Personalized Recommendation

On January 9 at 7 p.m., Alibaba senior algorithm engineer Zhang Yuanliang will present a scenario‑adaptive, self‑supervised model for multi‑scenario personalized recommendation, discussing its background, technical details, experimental results, and real‑world deployment within Taobao’s recommendation system.

Alibabaaimulti-scenario modeling

0 likes · 1 min read

Adaptive Multi-Scenario Modeling for Taobao Personalized Recommendation

Alimama Tech

Nov 24, 2021 · Artificial Intelligence

STAR: Star Topology Adaptive Recommender for Multi-Scenario CTR Prediction

STAR introduces a star‑shaped CTR prediction architecture that jointly learns shared and scenario‑specific patterns via a fully‑connected network with central and private parameters, partitioned normalization, and an auxiliary scenario network, delivering consistent offline gains and +8% online CTR improvement while scaling to many domains without extra cost.

CTR predictionSTAR modeladvertising

0 likes · 11 min read