AI입문

논문 제목: LightGCN: Simplifying and Powering Graph Convolution Network for RecommendationLightGCN: Simplifying and Powering Graph Convolution Network for... LightGCN: Simplifying and Powering Graph Convolution Network for RecommendationGraph Convolution Network (GCN) has become new state-of-the-art for collaborative filtering. Nevertheless, the reasons of its effectiveness for recommendation are no..

Finetuned Language Models Are Zero-Shot Learners Finetuned Language Models Are Zero-Shot LearnersThis paper explores a simple method for improving the zero-shot learning abilities of language models. We show that instruction tuning -- finetuning language models on a collection of tasks described via instructions -- substantially improves zero-shot perarxiv.org 제안 모델: FLAN배경선행 모델의 문제점제안 모델: 선행 문제..

논문 제목: BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from TransformerBERT4Rec: Sequential Recommendation with Bidirectional Encoder... BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from TransformerModeling users' dynamic and evolving preferences from their historical behaviors is challenging and crucial for recommendation systems...