论文解读

论文题目：Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transfo

论文题目：Coarse-to-Fine Sparse Sequential Recommendation[1] 论文来源：SIGIR2022 一、Motivation Self-attentive m

论文题目：MISS: Multi-Interest Self-Supervised Learning Framework for Click-Through Rate Prediction[1] 论文

论文题目：Self-Attentive Sequential Recommendation[1] 论文来源：ICDM2018 Paper-with-code 代码 一、Motivation MC-ba

论文题目：Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning [1] 论文来

论文题目：Predictive and Contrastive: Dual-Auxiliary Learning for Recommendation [1] 论文来源：arxiv2022 一、Mot

论文题目：Automated Self-Supervised Learning for Graphs [1] 论文来源：ICLR2022 一、Motivation Different pretext

论文题目：Intent Contrastive Learning for Sequential Recommendation[1] 论文代码：github仓库 论文来源：WWW2022 一、Motiv

论文题目：Sound and Visual Representation Learning with Multiple Pretraining Tasks[1] 来源：Arxiv2022 一、Moti

论文题目:Pre-training User Representations for Improved Recommendation[1]<\sup> 发表会议：AAAI2021 一、Motivati

论文题目：UGRec: Modeling Directed and Undirected Relations for Recommendation 发表会议： SIGIR2021 一、Motivati