5 citations · 6 across the 4 of their papers we have counts for
4 papers
Attention-based sequential recommendation system using multimodal data
Hyungtaik Oh, Wonkeun Jo, Dongil Kim
Sequential recommendation systems that model dynamic preferences based on a use's past behavior are crucial to e-commerce. Recent studies on these systems have considered various t…
NFCL: Simply interpretable neural networks for a short-term multivariate forecasting
Wonkeun Jo, Dongil Kim
Multivariate time-series forecasting (MTSF) stands as a compelling field within the machine learning community. Diverse neural network based methodologies deployed in MTSF applicat…
Neural Additive Models for Nowcasting
Wonkeun Jo, Dongil Kim
Deep neural networks (DNNs) are one of the most highlighted methods in machine learning. However, as DNNs are black-box models, they lack explanatory power for their predictions. R…
Demand Forecasting from Spatiotemporal Data with Graph Networks and Temporal-Guided Embedding
Doyup Lee, Suehun Jung, Yeongjae Cheon +2
Short-term demand forecasting models commonly combine convolutional and recurrent layers to extract complex spatiotemporal patterns in data. Long-term histories are also used to co…