research
∙
08/30/2023
A Survey on Multi-Behavior Sequential Recommendation
Recommender systems is set up to address the issue of information overlo...
share
research
∙
07/25/2023
GNN4FR: A Lossless GNN-based Federated Recommendation Framework
Graph neural networks (GNNs) have gained wide popularity in recommender ...
research
∙
02/07/2023
Self-Sampling Training and Evaluation for the Accuracy-Bias Tradeoff in Recommendation
Research on debiased recommendation has shown promising results. However...
research
∙
12/17/2022
An Evolutionary Multitasking Algorithm with Multiple Filtering for High-Dimensional Feature Selection
Recently, evolutionary multitasking (EMT) has been successfully used in ...
research
∙
07/06/2022
DIWIFT: Discovering Instance-wise Influential Features for Tabular Data
Tabular data is one of the most common data storage formats in business ...
research
∙
07/02/2022
Abstraction and Refinement: Towards Scalable and Exact Verification of Neural Networks
As a new programming paradigm, deep neural networks (DNNs) have been inc...
research
∙
05/14/2022
PAS: A Position-Aware Similarity Measurement for Sequential Recommendation
The common item-based collaborative filtering framework becomes a typica...
research
∙
03/06/2022
Diversifying Agent's Behaviors in Interactive Decision Models
Modelling other agents' behaviors plays an important role in decision mo...
research
∙
05/13/2020
