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personalization

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DataFunSummit
DataFunSummit
Nov 6, 2024 · Artificial Intelligence

Applying AIGC to Transform Insurance Marketing at Ant Group

This article explains how Ant Group’s insurance marketing team leverages Artificial Intelligence‑generated content (AIGC) to create personalized marketing materials, automate recommendation workflows, and produce video scripts, thereby improving efficiency, compliance, and user engagement in the insurance sector.

AIGCArtificial IntelligenceContent generation
0 likes · 9 min read
Applying AIGC to Transform Insurance Marketing at Ant Group
DataFunSummit
DataFunSummit
Jun 26, 2024 · Artificial Intelligence

2026 Roadmap for Recommendation Systems: Challenges, Research Directions, and OneRec Integration

This article outlines the current bottlenecks of conventional recommendation pipelines and proposes a comprehensive 2026 research agenda covering retention improvement, user growth, content ecosystem, multi‑objective Pareto optimization, long‑term value modeling, whole‑site optimization, interactive recommendation, personalized modeling, decision‑theoretic formulation, and the OneRec multi‑source fusion framework.

Artificial IntelligenceLarge Language ModelsRecommendation systems
0 likes · 18 min read
2026 Roadmap for Recommendation Systems: Challenges, Research Directions, and OneRec Integration
DataFunSummit
DataFunSummit
Jun 23, 2024 · Artificial Intelligence

Tongyi Xingchen Personalized Large Model: Technical Overview and Applications

This article summarizes the development background of large language models, Alibaba's progression in foundational and personalized AI, the design and capabilities of the Tongyi Xingchen personalized model, its multimodal and agent-based architecture, various industry use cases, and the safety and responsibility measures applied to ensure trustworthy AI deployment.

AI safetyLarge Language Modelsmodel agents
0 likes · 13 min read
Tongyi Xingchen Personalized Large Model: Technical Overview and Applications
JD Tech
JD Tech
Jun 23, 2024 · Artificial Intelligence

Applying Large Models to Recommendation Systems: Strategies, Challenges, and E‑commerce Case Study

This article examines how large pre‑trained models such as GPT‑4 and BERT are integrated into modern recommendation systems, detailing their advantages, implementation strategies, real‑world e‑commerce case studies, and the technical and privacy challenges that must be addressed for effective deployment.

Artificial IntelligenceLarge ModelsRecommendation systems
0 likes · 14 min read
Applying Large Models to Recommendation Systems: Strategies, Challenges, and E‑commerce Case Study
DataFunSummit
DataFunSummit
Jan 23, 2024 · Artificial Intelligence

Meta-Learning and Cross-Domain Recommendation: Industrial Practices at Tencent TRS

This article presents Tencent TRS's industrial practice of applying meta‑learning and cross‑domain recommendation to address personalization challenges, detailing problem definitions, solution architectures, algorithmic choices such as MAML, deployment strategies, and the cost‑effective outcomes achieved across multiple scenarios.

Cross-DomainMAMLRecommendation systems
0 likes · 16 min read
Meta-Learning and Cross-Domain Recommendation: Industrial Practices at Tencent TRS
DataFunTalk
DataFunTalk
Nov 15, 2023 · Artificial Intelligence

Contextual Learning for Personalized Text‑to‑Image Generation

This article explains how contextual learning can enhance text‑to‑image models by incorporating example image‑text pairs, redesigning the UNet architecture, building large in‑context training datasets, and training the SuTI model to achieve fast, controllable, and high‑quality personalized image generation.

AIcontextual learningdiffusion models
0 likes · 24 min read
Contextual Learning for Personalized Text‑to‑Image Generation
php中文网 Courses
php中文网 Courses
Sep 29, 2023 · Backend Development

Using PHP Sessions and Cookies to Enhance Web Applications

This article explains how PHP sessions and cookies work together to manage user data, improve authentication, shopping carts, and personalization, providing code examples and best practices for secure, seamless web application development.

AuthenticationPHPWeb Development
0 likes · 7 min read
Using PHP Sessions and Cookies to Enhance Web Applications
Alimama Tech
Alimama Tech
Aug 16, 2023 · Artificial Intelligence

Personalized Automated Bidding Framework (PerBid) for Fairness‑Aware Online Advertising

PerBid introduces a personalized automated bidding framework that creates context‑aware RL agents for advertiser clusters using a profiling network to embed static and dynamic campaign features, and experiments on Alibaba’s display‑ad platform show up to 10.85% performance gains while markedly improving fairness across heterogeneous advertisers.

automated biddingfairnessonline advertising
0 likes · 23 min read
Personalized Automated Bidding Framework (PerBid) for Fairness‑Aware Online Advertising
JD Retail Technology
JD Retail Technology
Aug 15, 2023 · Artificial Intelligence

Design and Implementation of a Recommendation Algorithm PaaS for Scalable Business Scenarios

This document describes the background, design, capability classification, implementation details, case studies, practical experience, and future outlook of a recommendation‑algorithm Platform‑as‑a‑Service (PaaS) that enables reusable, extensible, and configurable recommendation capabilities across dozens of business lines.

PaaSalgorithmmachine learning
0 likes · 18 min read
Design and Implementation of a Recommendation Algorithm PaaS for Scalable Business Scenarios
Kuaishou Tech
Kuaishou Tech
Aug 11, 2023 · Artificial Intelligence

PEPNet: Parameter and Embedding Personalized Network for Multi‑Task Multi‑Domain Recommendation

The paper introduces PEPNet, a plug‑and‑play network that tackles the domain‑seesaw and task‑seesaw problems in multi‑scenario recommendation by using a gated personalization module (GateNU) together with embedding‑level (EPNet) and parameter‑level (PPNet) personalization, and demonstrates its superiority through extensive offline and online experiments on Kuaishou data.

deep learningembeddinggate network
0 likes · 11 min read
PEPNet: Parameter and Embedding Personalized Network for Multi‑Task Multi‑Domain Recommendation
Bitu Technology
Bitu Technology
Aug 2, 2023 · Artificial Intelligence

Tubi's Recall Exploration: Embedding‑Based Candidate Generation for Scalable Video Recommendations

This article details Tubi's multi‑stage recommendation system, focusing on the recall phase and describing how popularity metrics, embedding averaging, per‑video nearest‑neighbors, hierarchical clustering, real‑time ranking, and context‑aware sampling are combined to efficiently generate personalized video candidates at scale.

Recommendation systemsVideo Streamingembedding
0 likes · 10 min read
Tubi's Recall Exploration: Embedding‑Based Candidate Generation for Scalable Video Recommendations
Kuaishou Tech
Kuaishou Tech
Jul 21, 2023 · Artificial Intelligence

Selected Papers from Kuaishou Community Science Track at SIGIR 2023

This article presents five peer‑reviewed papers accepted to the Kuaishou Community Science track at the 2023 ACM SIGIR conference, covering offline reinforcement learning for recommendation fairness, global residual value for fair item exposure, personalized QoE in short‑form video, multi‑behavior self‑supervised recommendation, and a search‑enhanced sequential recommendation framework.

AISearchfairness
0 likes · 11 min read
Selected Papers from Kuaishou Community Science Track at SIGIR 2023
DataFunTalk
DataFunTalk
Jul 6, 2023 · Artificial Intelligence

Industrial Practice of Meta‑Learning and Cross‑Domain Recommendation in Tencent TRS

This article presents Tencent TRS's industrial deployment of meta‑learning and cross‑domain recommendation, detailing problem definitions, solution architectures, challenges of industrialization, and practical implementations that achieve personalized modeling and cost‑effective multi‑scene recommendation across various online services.

Cross-DomainMAMLRecommendation systems
0 likes · 18 min read
Industrial Practice of Meta‑Learning and Cross‑Domain Recommendation in Tencent TRS
DataFunSummit
DataFunSummit
Jun 30, 2023 · Artificial Intelligence

Roundtable on Large‑Model‑Based Recommendation Systems: Opportunities, Challenges, and Future Directions

In this expert roundtable, leading researchers and engineers discuss the current state of recommendation systems, how large language models can reshape the field, the technical and practical challenges involved, and practical advice for practitioners looking to adopt AI‑driven personalization solutions.

AILarge Language ModelsRecommendation systems
0 likes · 36 min read
Roundtable on Large‑Model‑Based Recommendation Systems: Opportunities, Challenges, and Future Directions
DataFunTalk
DataFunTalk
Jun 20, 2023 · Artificial Intelligence

How Recommendation Systems Work and Their Integration with ChatGPT

This article explains the fundamentals of recommendation systems, their digital representation, how ChatGPT and large language models are applied to enhance recommendation performance, and highlights emerging trends such as conversational recommendation and a recommended book on the subject.

AIChatGPTLarge Language Models
0 likes · 8 min read
How Recommendation Systems Work and Their Integration with ChatGPT
NetEase Yanxuan Technology Product Team
NetEase Yanxuan Technology Product Team
Apr 10, 2023 · Artificial Intelligence

Intelligent Reach System: Modeling, Decision Making, and Optimization for E‑commerce

The paper presents an intelligent reach system for e‑commerce that automatically selects audience, timing, channel, welfare and creative content using user, content and decision models—including XGBoost churn predictions, NLP‑generated copy, Bayesian CTR estimation and linear‑programming optimization—resulting in a 17.4 % rise in paying users and a 5 % revenue boost over manual methods.

Intelligent Reachdecision optimizatione-commerce
0 likes · 20 min read
Intelligent Reach System: Modeling, Decision Making, and Optimization for E‑commerce
DataFunTalk
DataFunTalk
Mar 13, 2023 · Big Data

Building and Operating a User Portrait Platform: Architecture, Practices, and Case Studies from Kuakan Comics

This article presents a comprehensive overview of Kuakan Comics' user portrait platform, detailing its product architecture, data‑warehouse modeling, device‑ID strategies, multi‑business tag integration, composite tag support, real‑world applications, and future directions for large‑scale data‑driven personalization.

Big DataData Warehousecross‑business integration
0 likes · 32 min read
Building and Operating a User Portrait Platform: Architecture, Practices, and Case Studies from Kuakan Comics
DataFunTalk
DataFunTalk
Feb 1, 2023 · Artificial Intelligence

Kuaishou Recommendation System: Architecture, CTR Modeling, Multi‑Domain Multi‑Task Learning, and Long‑Short Term Behavior Modeling

This article presents a comprehensive overview of Kuaishou's large‑scale recommendation system, detailing its pipeline, unique characteristics, CTR model improvements, the PPNet personalization network, multi‑domain multi‑task framework, short‑ and long‑term behavior sequence modeling, and the challenges of handling billions of features and trillions of parameters.

AICTR modelbehavior sequence modeling
0 likes · 12 min read
Kuaishou Recommendation System: Architecture, CTR Modeling, Multi‑Domain Multi‑Task Learning, and Long‑Short Term Behavior Modeling
DataFunSummit
DataFunSummit
Jan 29, 2023 · Big Data

User Profiling: Development Process and Applications in Data Intelligence

The article explains how user profiling—labeling users' habits, behaviors, and attributes—serves as the foundation for big‑data‑driven personalized recommendation, advertising, and intelligent marketing, and outlines a step‑by‑step development workflow from tag design to service deployment.

Big DataTaggingdata intelligence
0 likes · 5 min read
User Profiling: Development Process and Applications in Data Intelligence
DataFunTalk
DataFunTalk
Jan 27, 2023 · Big Data

User Profiling: Development Process and Applications in Data Intelligence

The article explains how user profiling—labeling user habits, behaviors, and attributes—has become essential for refined user operations, outlines a step‑by‑step development workflow, and highlights its role in personalized recommendation, precise advertising, and intelligent marketing within the big‑data ecosystem.

Big DataData AnalyticsTagging
0 likes · 4 min read
User Profiling: Development Process and Applications in Data Intelligence