Recently, the fast development of Large Language Models (LLMs) such as
C...
Transformer-based sequential recommendation (SR) has been booming in rec...
Existing research efforts for multi-interest candidate matching in
recom...
Contrastive learning (CL) benefits the training of sequential recommenda...
Session-based recommendation (SBR) aims to predict the user next action ...
Side information fusion for sequential recommendation (SR) aims to
effec...
This is a method report for the Kaggle data competition 'Predict future
...