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Ximalaya Technology Team
Ximalaya Technology Team
Feb 11, 2026 · Artificial Intelligence

How Ximalaya Used Generative AI to Revolutionize Audio Recommendations

This article details Ximalaya's journey from traditional multi‑stage recommendation pipelines to generative AI‑driven models, covering business challenges, architectural and model differences, phased deployments, knowledge distillation, semantic ID encoding, decoder‑only strategies, extensive offline and online evaluations, and future research directions.

Encoder-DecoderRecommendation Systemsaudio recommendation
0 likes · 24 min read
How Ximalaya Used Generative AI to Revolutionize Audio Recommendations
Amap Tech
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
JD Tech
JD Tech
Dec 14, 2024 · Artificial Intelligence

Generative Retrieval for E‑commerce Search: Lexical and Semantic ID Approaches

This article presents a comprehensive study of generative retrieval for large‑scale e‑commerce search, comparing lexical‑based and Semantic‑ID‑based methods, introducing a Query‑to‑MultiSpan framework, analyzing the sand‑glass distribution problem in residual quantization, and proposing heuristic and adaptive solutions to improve recall and efficiency.

AIE-commerce SearchGenerative Retrieval
0 likes · 20 min read
Generative Retrieval for E‑commerce Search: Lexical and Semantic ID Approaches
JD Retail Technology
JD Retail Technology
Dec 9, 2024 · Artificial Intelligence

Generative Retrieval for E‑commerce Search: Lexical‑Based and Semantic‑ID Approaches

This article presents a comprehensive study of generative retrieval in large‑scale e‑commerce search, detailing lexical‑based and SemanticID‑based methods, their challenges such as long‑tail distribution and token length, experimental evaluations, the discovered "sandglass" effect, and proposed solutions to improve recall and efficiency.

AIE-commerce SearchGenerative Retrieval
0 likes · 20 min read
Generative Retrieval for E‑commerce Search: Lexical‑Based and Semantic‑ID Approaches
DataFunSummit
DataFunSummit
Nov 28, 2024 · Artificial Intelligence

Generative Retrieval for E‑commerce Search: Lexical and SemanticID Approaches

This article presents a comprehensive study of generative retrieval for large‑scale e‑commerce search, detailing background challenges, the advantages of generative methods, two concrete strategies—Lexical‑based and SemanticID‑based—along with task redesign, preference optimization, constrained beam search, extensive experiments, and future research directions.

E-commerce SearchGenerative Retrievallexical approach
0 likes · 21 min read
Generative Retrieval for E‑commerce Search: Lexical and SemanticID Approaches
JD Tech
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 RecommendationLLMe-commerce advertising
0 likes · 27 min read
Generative Recommendation Systems for JD Alliance Advertising: Architecture, Implementation, and Experimental Evaluation
JD Retail Technology
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
JD Cloud Developers
JD Cloud Developers
Jun 13, 2024 · Artificial Intelligence

How LLMs Are Redefining Recommender Systems for JD Union Ads

This article surveys the impact of large language models on recommendation systems, outlines generative recommender architectures, discusses challenges of JD Union advertising, presents a semantic‑ID based solution with training and inference details, and reports offline and online experimental results.

AILLMRecommendation Systems
0 likes · 22 min read
How LLMs Are Redefining Recommender Systems for JD Union Ads
JD Tech Talk
JD Tech Talk
Jun 13, 2024 · Artificial Intelligence

Generative Recommender Systems for JD Affiliate Advertising: Architecture, Methods, and Experimental Evaluation

This article surveys how large language models can reshape recommendation systems, describes the four-stage generative pipeline, details item representation techniques such as semantic IDs, presents a JD affiliate advertising use case with offline and online experiments, and outlines future optimization directions.

LLMcold startgenerative recommender
0 likes · 25 min read
Generative Recommender Systems for JD Affiliate Advertising: Architecture, Methods, and Experimental Evaluation