research
∙
09/19/2023
Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling
Recommender systems are essential for online applications, and sequentia...
share
research
∙
05/24/2023
Exploring Adapter-based Transfer Learning for Recommender Systems: Empirical Studies and Practical Insights
Adapters, a plug-in neural network module with some tunable parameters, ...
research
∙
02/20/2023
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification
Deep learning-based algorithms, e.g., convolutional networks, have signi...
research
∙
02/10/2023
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification
Physiological signals are high-dimensional time series of great practica...
research
∙
11/09/2022
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF
Recognizing useful named entities plays a vital role in medical informat...
research
∙
11/05/2022
One Person, One Model–Learning Compound Router for Sequential Recommendation
Deep learning has brought significant breakthroughs in sequential recomm...
research
∙
06/13/2022
TransRec: Learning Transferable Recommendation from Mixture-of-Modality Feedback
Learning big models and then transfer has become the de facto practice i...
research
∙
05/18/2022
