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05/15/2023
Large Language Models are Zero-Shot Rankers for Recommender Systems
Recently, large language models (LLMs) (e.g. GPT-4) have demonstrated im...
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05/11/2023
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach
In the past decades, recommender systems have attracted much attention i...
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10/22/2022
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Recently, the generality of natural language text has been leveraged to ...
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10/21/2022
Privacy-Preserved Neural Graph Similarity Learning
To develop effective and efficient graph similarity learning (GSL) model...
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06/15/2022
RecBole 2.0: Towards a More Up-to-Date Recommendation Library
In order to support the study of recent advances in recommender systems,...
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06/13/2022
Towards Universal Sequence Representation Learning for Recommender Systems
In order to develop effective sequential recommenders, a series of seque...
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06/06/2022
ID-Agnostic User Behavior Pre-training for Sequential Recommendation
Recently, sequential recommendation has emerged as a widely studied topi...
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04/23/2022
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space
Session-based Recommendation (SBR) refers to the task of predicting the ...
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03/03/2022
Neural Graph Matching for Pre-training Graph Neural Networks
Recently, graph neural networks (GNNs) have been shown powerful capacity...
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02/13/2022
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning
Recently, graph collaborative filtering methods have been proposed as an...
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11/03/2020