论文:A Survey on Knowledge Graph-Based Recommender Systems 首发链接: 【综述】基于知识图谱的推荐系统综述mp.weixin.qq.com/s/6lTxdxBsw-HJzuKhvNMhcg 基于知识图谱的推荐系统综述 作者信息 Elesdspline目前从事NLP与知识图谱相关工作。 导语 本文是2020年针对知识图谱作为辅助信息用于推荐系统的一篇综述。
Knowledge GraphConvolutional Networks (论文阅读) Knowledge GraphConvolutional Networks for Recommender Systems Abract 为了减轻基于协作过滤的推荐系统的稀疏性和冷启动问题,研究人员和工程师通常收集用户和项目的属性,并设计精致的… Ankely [论文笔记]: Four methods of Knowledge graph alignment 赵来福发表于NLP相关...
In this work, we propose a contextual language model for KG completion known as ELECTRA-KG (Efficiently Learning an Encoder that Classifies Token Replacements Accurately). We formulate the recommendation task as a KG link prediction task where we have an incomplete knowledge graph and we use state...
In this article, using the knowledge graph, the embedding technique, the neural networks and collaborative filtering engender a solution to increase the accuracy of the recommendation system has been presented. Studying and reviewing the research done in the field of recommender systems, some of ...
We provide evidence for our argument by analytically comparing the knowledge graph convolution network (KGCN) with GCF and eight other state-of-the-art methods, using similar experimental settings and the same datasets. 展开 关键词: Collaborative filtering Graph neural network Recommender system ...
RippleNet: Propagating User Preferences on the Knowledge Graph for Recommender Systems简析,程序员大本营,技术文章内容聚合第一站。
User preference information plays an important role in knowledge graph-based recommender systems, which is reflected in users having different preferences
Extensive experiments conducted on three standard datasets over baseline methods have demonstrated the superiority of our proposed recommender system. 展开 关键词: Knowledge graph Recommender system Residual network Attention mechanism DOI: 10.1016/j.knosys.2024.112042 年份: 2024 ...
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning qwe qwer 3 人赞同了该文章 论文地址:arxiv.org/pdf/2006.1038 方法简介 本文研究了基于RL方法+知识图谱(KG)来处理交互式推荐系统(IRS)的问题,这为推荐决策提供了丰富的辅助信息。不是从头开始学习RL策略,而是利用从KG中学到的项目相...
Knowledge graph (KG) plays an increasingly important role in recommender systems. A recent technical trend is to develop end-to-end models founded on graph neural networks (GNNs). However, existing GNN-based models ...