Multi-view knowledge representation learning for personalized news recommendation
C Chang, F Tang, P Yang, J Zhang, J Huang, J Li… - Scientific Reports, 2025 - nature.com
In the rapidly evolving field of personalized news recommendation, capturing and effectively
utilizing user interests remains a significant challenge due to the vast diversity and dynamic …
utilizing user interests remains a significant challenge due to the vast diversity and dynamic …
The RDF2vec family of knowledge graph embedding methods: An experimental evaluation of RDF2vec variants and their capabilities
Knowledge graph embeddings represent a group of machine learning techniques which
project entities and relations of a knowledge graph to continuous vector spaces. RDF2vec is …
project entities and relations of a knowledge graph to continuous vector spaces. RDF2vec is …
Knowledge-aware user multi-interest modeling method for news recommendation
Z Zuo, J Lu, L Tan, D Gong, J Chen, F Liu - Knowledge and Information …, 2024 - Springer
News recommendation can filter massive news and provide personalized information
services, and the key is to better portray news and users. Current news recommendation …
services, and the key is to better portray news and users. Current news recommendation …
On the Multiple Roles of Ontologies in Explainable AI
This paper discusses the different roles that explicit knowledge, in particular ontologies, can
play in Explainable AI and in the development of human-centric explainable systems and …
play in Explainable AI and in the development of human-centric explainable systems and …