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Hierarchical Contrastive Learning with Multiple Augmentation for Sequential Recommendation
Thus, it is still possible to extend existing approaches to boost the effects of augmentation methods by using progressed structures with the combinations of multiple augmentation methods.
EPSR: Edge Profile Super resolution
mFRN is made up of lots of Residual Edge Profile Blocks(REPBs) consisting of three different modules such as Residual Efficient Channel Attention Block(RECAB) module, Edge Profile(EP) module, and Context Network(CN) module.
A Differentiable Ranking Metric Using Relaxed Sorting Operation for Top-K Recommender Systems
A recommender system generates personalized recommendations for a user by computing the preference score of items, sorting the items according to the score, and filtering top-K items with high scores.
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