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09/09/2023
Linear convergence of the Collatz method for computing the Perron eigenpair of primitive dual number matrix
Very recently, Qi and Cui extended the Perron-Frobenius theory to dual n...
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08/07/2022
Generating Negative Samples for Sequential Recommendation
To make Sequential Recommendation (SR) successful, recent works focus on...
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04/05/2022
ELECRec: Training Sequential Recommenders as Discriminators
Sequential recommendation is often considered as a generative task, i.e....
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03/25/2022
Improving Contrastive Learning with Model Augmentation
The sequential recommendation aims at predicting the next items in user ...
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02/05/2022
Intent Contrastive Learning for Sequential Recommendation
Users' interactions with items are driven by various intents (e.g., prep...
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09/23/2021
Modeling Dynamic Attributes for Next Basket Recommendation
Traditional approaches to next item and next basket recommendation typic...
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08/14/2021
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation
Sequential Recommendationdescribes a set of techniques to model dynamic ...
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01/21/2019
Learning Graph Pooling and Hybrid Convolutional Operations for Text Representations
With the development of graph convolutional networks (GCN), deep learnin...
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05/24/2017