Search Results for author:
Found 3 papers, 0 papers with code
Jointly Modeling Heterogeneous Student Behaviors and Interactions Among Multiple Prediction Tasks
In this paper, we focus on modeling heterogeneous behaviors and making multiple predictions together, since some prediction tasks are related and learning the model for a specific task may have the data sparsity problem.
Modeling Long-Term and Short-Term Interests with Parallel Attentions for Session-based Recommendation
First, most of the attention-based methods only simply utilize the last clicked item to represent the user's short-term interest ignoring the temporal information and behavior context, which may fail to capture the recent preference of users comprehensively.
ALCNN: Attention-based Model for Fine-grained Demand Inference of Dock-less Shared Bike in New Cities
In this paper, we study the problem of inferring fine-grained bike demands anywhere in a new city before the deployment of bikes.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
