4 知识增强的语言表示(Knowledge Enhanced Language Representation):增强知识的文本表示策略应用于推荐任务中,可以更好地学习 user/item 表示,获得更准确的推荐结果。 5 知识图谱 Embedding 方法(Knowledge Graph Embedding Method, KGE):虽然现在已经将 KGE 方法应用到上述基于知识图谱的推荐系统中,然而,没有一些研究工...
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...
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 ...
Recommender systems enhanced by a knowledge graph (KG) have attained widespread popularity and attention in recent years. However, traditional KG-based recommender systems encounter the challenge of gradient explosion as the network depth increases. Additionally, the abundance of unreliable paths in a KG...
Knowledge Graph-Enhanced Hierarchical Reinforcement Learning for Interactive and Explainable Recommendation 来自 IEEEXplore 喜欢 0 阅读量: 29 作者:M Zhang,Y Li,S Li,Y Wang,J Yan 摘要: Recent advances in interactive recommender systems (IRSs) have sparked great interest in the exploitation of deep ...
The field of Recommender Systems (RecSys) has been extensively studied to enhance accuracy by leveraging users' historical interactions. Nonetheless, this persistent pursuit of accuracy frequently engenders diminished diversity, culminating in the well-recognized "echo chamber" phenomenon. Diversified RecSys...
KGAT: Knowledge Graph Attention Network for Recommendation. KDD 2019. Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu and Tat-Seng Chua. [Paper] [Code]Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation. WWW 2019. Wang, Hongwei, Fuzheng Zhang, Miao Zhao, Wenjie Li, Xing Xie...
surveyknowledge-graphawsomelanguage-modelkggpt-4llmchatgptlarge-language-model UpdatedMay 16, 2024 TidGi is an privacy-in-mind, automated, auto-git-backup, freely-deployed knowledge management Desktop note app, based on Tiddlywiki, with REST API for web-clipping and Anki connect. 「 太记 」是...
system on top of a heterogeneous biomedical knowledge graph integrating pre-clinical, clinical, and literature evidence. The recommender system ranks genes based on trade-offs between diverse types of evidence linking them to potential mechanisms of EGFRi resistance. This unbiased approach identifies 57...
MKR is aMulti-task learning approach forKnowledge graph enhancedRecommendation. MKR consists of two parts: the recommender system (RS) module and the knowledge graph embedding (KGE) module. The two modules are bridged bycross&compressunits, which can automatically learn high-order interactions of ...