A Correlation-Experience-Demand Based Personalized Knowledge Recommendation Approach

A Correlation-Experience-Demand Based Personalized Knowledge Recommendation Approach

Knowledge recommendation is an important means of knowledge reuse that can improve the efficiency and quality of product design. However, at present, there is no good way to fully consider the personalized demands of designers while ensuring the applicability of the recommendation results. Previous...

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Bibliographic Details
Main Authors: Xiyan Yin, Buyun Sheng, Feiyu Zhao, Xinggang Wang, Zheng Xiao, Hui Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Collaborative filtering
degree of assistance
degree of correlation
degree of demand
knowledge recommendation
ontology model
Online Access:https://ieeexplore.ieee.org/document/8715488/

Internet

https://ieeexplore.ieee.org/document/8715488/

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