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09/05/2023
MvFS: Multi-view Feature Selection for Recommender System
Feature selection, which is a technique to select key features in recomm...
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03/02/2023
Distillation from Heterogeneous Models for Top-K Recommendation
Recent recommender systems have shown remarkable performance by using an...
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02/27/2023
Learning Topology-Specific Experts for Molecular Property Prediction
Recently, graph neural networks (GNNs) have been successfully applied to...
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02/26/2022
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering
Over the past decades, for One-Class Collaborative Filtering (OCCF), man...
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12/09/2021
Obtaining Calibrated Probabilities with Personalized Ranking Models
For personalized ranking models, the well-calibrated probability of an i...
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07/08/2021
Unsupervised Proxy Selection for Session-based Recommender Systems
Session-based Recommender Systems (SRSs) have been actively developed to...
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06/16/2021
Topology Distillation for Recommender System
Recommender Systems (RS) have employed knowledge distillation which is a...
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06/05/2021
Bidirectional Distillation for Top-K Recommender System
Recommender systems (RS) have started to employ knowledge distillation, ...
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05/13/2021
Bootstrapping User and Item Representations for One-Class Collaborative Filtering
The goal of one-class collaborative filtering (OCCF) is to identify the ...
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04/29/2021
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation
Recommender systems have achieved great success in modeling user's prefe...
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12/08/2020