multi-granularity

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.

AIattention modeldeep learning

0 likes · 18 min read

Multi-Granularity Attention Model for Group Recommendation (MGAM)

AntTech

Jun 24, 2022 · Artificial Intelligence

Hierarchical Residual Network for Multi‑Granularity Classification (HRN) – CVPR 2022 Paper Overview

This article presents a CVPR 2022 paper by Zhejiang University and Ant Group that introduces a label‑relation‑tree‑based Hierarchical Residual Network (HRN) for improving multi‑granularity image classification, detailing its motivation, architecture, composite loss design, extensive experiments on fine‑grained datasets, and practical impact on content‑security applications.

CVPR2022computer visiondeep learning

0 likes · 12 min read

Hierarchical Residual Network for Multi‑Granularity Classification (HRN) – CVPR 2022 Paper Overview

Multi-Granularity Attention Model for Group Recommendation (MGAM)

Hierarchical Residual Network for Multi‑Granularity Classification (HRN) – CVPR 2022 Paper Overview

Hierarchical Residual Network for Multi‑Granularity Classification (HRN) – CVPR 2022 Paper Overview