Time Series Forecasting for Cold-Start Items by Learning from Related Items using Memory Networks
Author:
Affiliation:
1. Adobe Research
2. IIT Bombay
3. IIT Roorkee
4. IIT Madras
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3366424.3382728
Reference6 articles.
1. Forecasting across time series databases using recurrent neural networks on groups of similar series: A clustering approach
2. Kasun Bandara Peibei Shi Christoph Bergmeir Hansika Hewamalage Quoc Tran and Brian Seaman. 2019. Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology. arXiv preprint arXiv:1901.04028(2019). Kasun Bandara Peibei Shi Christoph Bergmeir Hansika Hewamalage Quoc Tran and Brian Seaman. 2019. Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology. arXiv preprint arXiv:1901.04028(2019).
3. Toward Automatic Time-Series Forecasting Using Neural Networks
4. Dynamic Key-Value Memory Networks for Knowledge Tracing
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