Resource Recommendation Based on Industrial Knowledge Graph in Low-Resource Conditions

Resource Recommendation Based on Industrial Knowledge Graph in Low-Resource Conditions

Abstract Resource recommendation is extremely challenging under low-resource conditions because representation learning models require sufficient triplets for their training, and the presence of massive long-tail resources leads to data sparsity and cold-start problems. In this paper, an industrial...

Full description

Bibliographic Details
Main Authors: Yangshengyan Liu, Fu Gu, Xinjian Gu, Yijie Wu, Jianfeng Guo, Jin Zhang
Format: Article
Language:English
Published: Springer 2022-07-01
Series:International Journal of Computational Intelligence Systems
Subjects:
Resource recommendation
Industrial knowledge graph
Few-shot relational learning
Schema-based reasoning
Online Access:https://doi.org/10.1007/s44196-022-00097-2

Similar Items

Similar Items