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group recommendation

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DataFunSummit
DataFunSummit
Feb 27, 2024 · Artificial Intelligence

Algorithmic Approaches for Hotel Category Planning, Group Recommendation, and Large‑Promotion Selection in Fliggy Travel

This article presents Fliggy Travel's end‑to‑end algorithmic solutions for hotel category planning, introduces the LINet group‑recommendation model that incorporates location and travel intent, and details the PETS two‑stage model for selecting hot‑sale hotels under recall constraints, together with experimental results and practical insights.

AIgroup recommendationhotel supply chain
0 likes · 14 min read
Algorithmic Approaches for Hotel Category Planning, Group Recommendation, and Large‑Promotion Selection in Fliggy Travel
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.

AIattention modeldeep learning
0 likes · 18 min read
Multi-Granularity Attention Model for Group Recommendation (MGAM)
Sohu Tech Products
Sohu Tech Products
Mar 13, 2019 · Artificial Intelligence

Attentive Group Recommendation (AGR): An Attention‑Based Deep Learning Model for Group Recommendation

This paper proposes AGR, the first group recommendation model that incorporates an attention mechanism to dynamically learn each member’s influence weight within a group, enabling flexible modeling of group decision processes and achieving superior performance over existing memory‑based, model‑based, and probabilistic baselines across four real‑world datasets.

BPRattention mechanismcollaborative filtering
0 likes · 26 min read
Attentive Group Recommendation (AGR): An Attention‑Based Deep Learning Model for Group Recommendation