research
∙
09/06/2023
Enhancing Event Sequence Modeling with Contrastive Relational Inference
Neural temporal point processes(TPPs) have shown promise for modeling co...
share
research
∙
08/21/2023
Leveraging Large Language Models for Pre-trained Recommender Systems
Recent advancements in recommendation systems have shifted towards more ...
research
∙
08/21/2023
Enhancing Recommender Systems with Large Language Model Reasoning Graphs
Recommendation systems aim to provide users with relevant suggestions, b...
research
∙
07/29/2023
Continual Learning in Predictive Autoscaling
Predictive Autoscaling is used to forecast the workloads of servers and ...
research
∙
11/21/2022
A Graph Regularized Point Process Model For Event Propagation Sequence
Point process is the dominant paradigm for modeling event sequences occu...
research
∙
07/11/2022
Learning Large-scale Universal User Representation with Sparse Mixture of Experts
Learning user sequence behaviour embedding is very sophisticated and cha...
research
∙
02/28/2020
