generative recommendation

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.

Artificial IntelligenceEMNLPSandglass 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 AdvertisingLLMgenerative recommendation

0 likes · 14 min read

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

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.

DPOadvertisinggenerative recommendation

0 likes · 12 min read

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

JD Tech Talk

Jan 14, 2025 · Artificial Intelligence

Advantages and Engineering Implementation of Generative Recommendation Systems Using Large Language Models

This article explains how generative recommendation systems powered by large language models simplify the recommendation pipeline, integrate world knowledge, benefit from scaling laws, and require specialized engineering optimizations such as TensorRT‑LLM deployment, inference acceleration, and hybrid model strategies to achieve low latency and high throughput in real‑world e‑commerce scenarios.

AILLMTensorRT-LLM

0 likes · 10 min read

Advantages and Engineering Implementation of Generative Recommendation Systems Using Large Language Models

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.

LLMe-commerce advertisingexperiment

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.

JD AllianceLLMgenerative recommendation

0 likes · 25 min read

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