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18 articles

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Apr 2, 2026 · Artificial Intelligence

From Tokens to Revenue: Kuaishou’s GR4AD Pioneers Full‑Stack Generative Recommendation for Ads

GR4AD, Kuaishou’s generative recommendation system, redesigns the entire ad pipeline—from tokenizing multimodal ad material to value‑aware learning, lazy decoding, and dynamic beam search—delivering over 4 % revenue lift, higher eCPM, and sub‑100 ms latency for more than 400 million users.

AdvertisingGenerative RecommendationOnline Learning

0 likes · 17 min read

From Tokens to Revenue: Kuaishou’s GR4AD Pioneers Full‑Stack Generative Recommendation for Ads

Data Party THU

Feb 9, 2026 · Artificial Intelligence

Aligning Collaborative Filtering with LLM Token Generation: The TCA4Rec Breakthrough

This paper introduces the TCA4Rec framework that directly aligns item‑level collaborative‑filtering preferences with token‑level objectives of large language models, presenting novel modules, extensive experiments, and analysis that demonstrate significant performance gains in generative recommendation tasks.

Generative RecommendationLLMRecommendation Systems

0 likes · 9 min read

Aligning Collaborative Filtering with LLM Token Generation: The TCA4Rec Breakthrough

JD Tech Talk

Jan 30, 2026 · Artificial Intelligence

How JD’s 9N‑LLM Engine Powers Scalable Generative Recommendation at Billion‑Scale

This article details JD Retail’s 9N‑LLM unified training engine, explaining the background of generative recommendation, the challenges of massive sparse and dense parameters, and the multi‑framework, multi‑hardware solutions—including efficient sample processing, large‑scale sparse embedding, dense scaling, UniAttention acceleration, and reinforcement‑learning integration—that enable industrial‑scale deployment.

AI InfrastructureGenerative RecommendationLarge-Scale Training

0 likes · 26 min read

How JD’s 9N‑LLM Engine Powers Scalable Generative Recommendation at Billion‑Scale

Sohu Tech Products

Jan 28, 2026 · Artificial Intelligence

How OnePiece Brings Context Engineering and Implicit Reasoning to Industrial Ranking

This article details the OnePiece framework, which integrates context engineering, anchor item sequences, and progressive implicit reasoning into generative recommendation systems, achieving significant offline and online performance gains on Shopee Search by enhancing model inference, personalization, and computational efficiency.

Context EngineeringGenerative RecommendationLarge Language Models

0 likes · 13 min read

How OnePiece Brings Context Engineering and Implicit Reasoning to Industrial Ranking

JD Tech

Nov 6, 2025 · Artificial Intelligence

LLMs Revolutionize Recommendation Systems: From Generative Models to Production

This article surveys the evolution of generative recommendation systems powered by large language models, detailing their technical foundations, engineering challenges, recent breakthroughs, and future research directions, while highlighting why the paradigm shift is occurring now.

AI EngineeringGenerative RecommendationLLM

0 likes · 30 min read

LLMs Revolutionize Recommendation Systems: From Generative Models to Production

Amap Tech

Oct 27, 2025 · Artificial Intelligence

Turning Maps into a Living Map: Amap’s G-Where Generative AI Recommendation

Amap upgrades its homepage recommendation by integrating large‑model capabilities—G‑Where, G‑Action, and G‑Plan—through semantic ID generation, item tokenization, and multi‑stage LLM training, achieving significant offline and online performance gains while illustrating a scalable generative recommendation framework.

AIGenerative RecommendationMap Services

0 likes · 21 min read

Turning Maps into a Living Map: Amap’s G-Where Generative AI Recommendation

HyperAI Super Neural

Sep 30, 2025 · Artificial Intelligence

OnePiece: Applying LLM‑Style Reasoning to Item‑ID Sequences for Generative Recommendation

The article presents the OnePiece framework, which injects LLM‑style context engineering and latent reasoning into item‑ID based search‑and‑recommendation models, details the design choices, training tricks, attention analysis, and reports online gains of around 1% GMV and ad revenue, offering a thorough technical dissection of generative recommendation in industrial settings.

Context EngineeringGenerative RecommendationLLM reasoning

0 likes · 31 min read

OnePiece: Applying LLM‑Style Reasoning to Item‑ID Sequences for Generative Recommendation

DataFunSummit

Sep 11, 2025 · Artificial Intelligence

How Meituan’s MTGR is Redefining Generative Recommendation at Scale

This article explains why Meituan introduced a generative recommendation model, describes the MTGR architecture, data organization, training and inference engines built on TorchRec and TensorRT, reports performance gains and cost reductions, and outlines future directions such as simplifying the recommendation funnel and cross‑business heterogeneous modeling.

Generative RecommendationInference OptimizationMTGR

0 likes · 15 min read

How Meituan’s MTGR is Redefining Generative Recommendation at Scale

JD Retail Technology

Apr 27, 2025 · Artificial Intelligence

Addressing the “Sandglass” Bottleneck in Residual Quantization Semantic Identifiers for Generative Search and Recommendation

The paper identifies a “sandglass” bottleneck in Residual Quantization Semantic Identifiers, where middle‑layer tokens dominate, causing sparse paths and long‑tail distributions that hurt e‑commerce search performance, and demonstrates that adaptive pruning of these tokens restores accuracy and efficiency better than removing the layer entirely.

EMNLPGenerative RecommendationSandglass Bottleneck

0 likes · 11 min read

Addressing the “Sandglass” Bottleneck in Residual Quantization Semantic Identifiers for Generative Search and Recommendation

Baidu Geek Talk

Apr 7, 2025 · Artificial Intelligence

COBRA: Unified Generative Recommendations with Cascaded Sparse-Dense Representations

COBRA, Baidu’s new generative retrieval framework, unifies sparse ID generation and dense vector encoding through a cascaded architecture that first predicts hierarchical IDs then refines them into dense representations, achieving state‑of‑the‑art recall, NDCG and conversion gains across public benchmarks and large‑scale advertising production.

AICOBRAGenerative Recommendation

0 likes · 13 min read

COBRA: Unified Generative Recommendations with Cascaded Sparse-Dense Representations

JD Tech Talk

Mar 18, 2025 · Artificial Intelligence

Generative Recommendation for CPS Advertising: Intent Sensing, Multi‑Objective Optimization, and the One4All Framework

This article surveys recent advances in generative recommendation for CPS advertising, detailing explicit intent‑aware controllable product recommendation, multi‑objective optimization techniques based on reward‑in‑context and DPO, and the scalable One4All framework that unifies behavior and language modeling across diverse ad scenarios.

CPS advertisingGenerative RecommendationLLM

0 likes · 14 min read

Generative Recommendation for CPS Advertising: Intent Sensing, Multi‑Objective Optimization, and the One4All Framework

JD Cloud Developers

Mar 18, 2025 · Artificial Intelligence

How Generative LLMs Are Transforming CPS Advertising Recommendations

Since large language models have excelled in NLP, researchers are now enhancing CPS advertising recommendation systems by integrating generative LLMs for explicit intent perception, multi‑objective optimization, and a unified One4All framework, achieving significant offline and online performance gains across click‑through, conversion, and revenue metrics.

CPS advertisingGenerative RecommendationLLM

0 likes · 19 min read

How Generative LLMs Are Transforming CPS Advertising Recommendations

JD Retail Technology

Feb 28, 2025 · Artificial Intelligence

Generative Recommendation with DPO Alignment for JD Alliance Advertising: Multi‑Objective Optimization and Online Results

The paper presents a generative recommendation framework for JD Alliance advertising that combines semantic‑ID modeling, large‑model pre‑training and fine‑tuning, and Direct Preference Optimization (including Softmax‑DPO and β‑DPO) to jointly boost click‑through and conversion rates, achieving +0.6% UCTR and +8% UCVR in online tests while outlining future multi‑objective extensions.

AdvertisingDPOGenerative Recommendation

0 likes · 12 min read

Generative Recommendation with DPO Alignment for JD Alliance Advertising: Multi‑Objective Optimization and Online Results

JD Cloud Developers

Jan 14, 2025 · Artificial Intelligence

How Generative Recommendation Systems Transform E‑Commerce with LLMs

This article explains how large language models reshape recommendation systems by simplifying pipelines, integrating world knowledge, and leveraging scaling laws, and details the engineering steps for deploying generative recall models—including product encoding, user prompting, model training, TensorRT‑LLM optimization, and continuous performance improvements.

AI OptimizationGenerative RecommendationLLM

0 likes · 13 min read

How Generative Recommendation Systems Transform E‑Commerce with LLMs

Baidu Tech Salon

Nov 29, 2024 · Artificial Intelligence

How AI‑Powered “WenZhi” Transforms Job Matching with Baidu’s ERNIE Model

Faced with overloaded job listings and low offer rates, a group of students built “WenZhi,” an AI‑driven job‑matching app that leverages Baidu’s ERNIE SDK, generative recommendation, and workflow orchestration to deliver personalized role suggestions and interview advice within minutes.

AICareer TechnologyERNIE SDK

0 likes · 7 min read

How AI‑Powered “WenZhi” Transforms Job Matching with Baidu’s ERNIE Model

JD Tech

Jul 5, 2024 · Artificial Intelligence

Generative Recommendation Systems for JD Alliance Advertising: Architecture, Implementation, and Experimental Evaluation

This article surveys how large language models reshape recommendation systems, presents a generative RS framework tailored for JD Alliance advertising, details material representation, model input, training and inference pipelines, and reports extensive offline and online experiments demonstrating its effectiveness on sparse user data.

Generative RecommendationLLMLarge Language Models

0 likes · 27 min read

Generative Recommendation Systems for JD Alliance Advertising: Architecture, Implementation, and Experimental Evaluation

JD Retail Technology

Jul 1, 2024 · Artificial Intelligence

Generative Recommendation Systems for JD Alliance Advertising: Design, Implementation, and Evaluation

This article surveys how large language models reshape recommendation systems, details a generative recommender framework for JD Alliance ads—including item representation, model input, training, and inference—presents extensive offline and online experiments, and discusses future optimization directions.

Generative RecommendationJD AllianceLLM

0 likes · 25 min read

Generative Recommendation Systems for JD Alliance Advertising: Design, Implementation, and Evaluation

NewBeeNLP

May 28, 2024 · Artificial Intelligence

How Generative Models Are Redefining Recommendation Systems

This article reviews recent advances in generative recommendation, highlighting challenges such as item representation and multimodal fusion, and summarizing four key research papers that propose novel tokenization, collaborative integration, and transformer-based multimodal approaches to improve recommendation performance.

AI researchGenerative RecommendationLLM

0 likes · 8 min read

How Generative Models Are Redefining Recommendation Systems