QinHsiu

Build Your Own Large Language Model From Zero 2 One 最近大模型很火，但是网上整理的资料都太过单一（要么只是整理了模型相关的东西，要么是只整理了某个方

论文题目：Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction $^{[1]}$ 来源：CIKM2023

论文题目：Contrastive Self-supervised Learning in Recommender Systems: A Survey 一、Motivation 为什么需要对比学习？ 使

论文题目：A Survey on Multimodal Large Language Models$^{[1]}$ Github：link 一、Motivation 多模态大规模语言模型相关技术在最近

论文题目：Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation $^{[1]}$ 论文来源

论文题目：Meta--optimized Contrastive Learning for Sequential Recommendation$^{[1]}$ 论文来源：SIGIR2023 code:

论文题目：Contrastive Collaborative Filtering for Cold-Start Item Recommendation$^{[1]}$ 论文来源：WWW2023 git

论文题目：Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System$^{[1]}$ 论文来源：Ar

论文题目：FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction$^{[1]}$ 论文来源：AAAI2023 code: githu