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08/23/2023
LLMRec: Benchmarking Large Language Models on Recommendation Task
Recently, the fast development of Large Language Models (LLMs) such as C...
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08/18/2023
Attention Calibration for Transformer-based Sequential Recommendation
Transformer-based sequential recommendation (SR) has been booming in rec...
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02/28/2023
Rethinking Multi-Interest Learning for Candidate Matching in Recommender Systems
Existing research efforts for multi-interest candidate matching in recom...
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11/10/2022
Equivariant Contrastive Learning for Sequential Recommendation
Contrastive learning (CL) benefits the training of sequential recommenda...
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06/26/2022
Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network
Session-based recommendation (SBR) aims to predict the user next action ...
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04/23/2022
Decoupled Side Information Fusion for Sequential Recommendation
Side information fusion for sequential recommendation (SR) aims to effec...
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04/17/2019
