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two-tower model

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DataFunTalk

Jun 3, 2020 · Artificial Intelligence

Semantic Retrieval and Product Ranking in JD E‑commerce Search

This article presents JD's e‑commerce search system, detailing the semantic vector retrieval and product ranking pipelines, the two‑tower deep learning architecture, attention‑based personalization, negative sampling strategies, training optimizations, and real‑world performance gains achieved in production.

Personalizationdeep learninge-commerce

0 likes · 11 min read

Semantic Retrieval and Product Ranking in JD E‑commerce Search

DataFunTalk

Apr 27, 2020 · Artificial Intelligence

Graph-Based Recommendation Algorithms and Cold‑Start Solutions

This article presents a comprehensive overview of graph‑based recommendation techniques, including collaborative filtering, graph embedding, side‑information enhanced embeddings, two‑tower DSSM models, and practical cold‑start strategies from Alibaba and Airbnb, followed by a mixed model and Q&A session.

AIcold startcollaborative filtering

0 likes · 14 min read

Graph-Based Recommendation Algorithms and Cold‑Start Solutions