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Ele.me Technology
Ele.me Technology
Aug 22, 2023 · Artificial Intelligence

Multi-Granularity Attention Model for Group Recommendation (MGAM)

The Multi‑Granularity Attention Model (MGAM) improves group recommendation by extracting subset, group, and superset preferences through hierarchical attention and graph neural networks, fusing them via self‑attention, and achieves state‑of‑the‑art offline results and a 1.2% online CTR lift in Alibaba’s local‑life services.

AIDeep LearningRecommendation Systems
0 likes · 18 min read
Multi-Granularity Attention Model for Group Recommendation (MGAM)
58UXD
58UXD
Mar 25, 2020 · Product Management

Boosting Rural Market Traffic: A Product Management Case Study on User‑Centric Design

This case study examines how deep user research and a targeted attention‑model redesign dramatically increased traffic conversion for 58 Tongzhen’s rural‑town platform, revealing the habits, preferences, and social dynamics of lower‑tier market users and outlining practical optimization steps.

Product DesignUser Researchattention model
0 likes · 7 min read
Boosting Rural Market Traffic: A Product Management Case Study on User‑Centric Design
Alibaba Cloud Developer
Alibaba Cloud Developer
Jan 15, 2019 · Artificial Intelligence

How Alibaba Engineers Boost SEO with Reinforcement Learning and Attention Models

This article details Alibaba.com engineers' application of reinforcement learning, attention mechanisms, and weakly supervised techniques to extract product summaries, improve content quality, and significantly raise SEO rankings, supported by offline experiments, online A/B testing, and future research directions.

AlibabaReinforcement LearningSEO
0 likes · 16 min read
How Alibaba Engineers Boost SEO with Reinforcement Learning and Attention Models