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DaTaobao Tech
DaTaobao Tech
Mar 10, 2022 · Artificial Intelligence

Graph Neural Network Based Content Recall and Popularity Bias Mitigation for Alibaba's Home‑Decor Platform

The paper presents Alibaba’s home‑decor platform solution that combines graph‑neural‑network side‑information mining and a multi‑view GNN framework with the DICE causal embedding approach to alleviate sparse user behavior and popularity bias, achieving higher recall accuracy and diversity as demonstrated by offline metrics and online A/B test improvements.

DICEGNNRecommendation
0 likes · 17 min read
Graph Neural Network Based Content Recall and Popularity Bias Mitigation for Alibaba's Home‑Decor Platform
Alimama Tech
Alimama Tech
Dec 15, 2021 · Artificial Intelligence

Scalable Multi-View Ad Retrieval (SMAD): A Graph-Based Framework for E-commerce Advertising

SMAD is a scalable graph‑based ad retrieval framework for e‑commerce search that builds a heterogeneous Query‑Item‑Ad graph, learns multi‑view embeddings with a parallel deep neural network and attention, employs category‑aware sampling for efficient distributed training, and delivers significant gains in offline relevance and online CTR, RPM, and PVR.

Ad RetrievalAttentionE-commerce
0 likes · 17 min read
Scalable Multi-View Ad Retrieval (SMAD): A Graph-Based Framework for E-commerce Advertising