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JD Tech Talk
JD Tech Talk
Dec 29, 2020 · Artificial Intelligence

Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning

The paper proposes a deep meta‑learning framework that generates spatio‑temporal representations for retail sales forecasting, especially during large shopping festivals, by combining amortization networks, shared statistical structures, and alternating spatial‑temporal training to achieve robust and accurate predictions despite scarce historical data.

Deep Learningmeta learningpurchase prediction
0 likes · 9 min read
Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning
JD Tech Talk
JD Tech Talk
Jan 16, 2019 · Artificial Intelligence

Combining CNN and LSTM for Purchase User Prediction: Architecture, Implementation, and Results

This article presents a detailed case study of building a purchase‑user prediction model by integrating Convolutional Neural Networks for feature extraction with Long Short‑Term Memory networks for time‑series forecasting, covering background, model structure, data augmentation, experimental results, and business impact.

CNNDeep LearningFeature Extraction
0 likes · 10 min read
Combining CNN and LSTM for Purchase User Prediction: Architecture, Implementation, and Results