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Talent recommendation based on attentive deep neural network and implicit relationships of resumes
Yang Huang,
Duen Ren Liu
*
,
Shin Jye Lee
*
此作品的通信作者
資訊管理研究所
科技管理研究所
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4
引文 斯高帕斯（Scopus）
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Keyphrases
Deep Neural Network
100%
Resume
100%
Implicit Relationship
100%
Network Relationships
100%
Talent Recommendation
100%
Neural Network Model
37%
Relationship-aware
37%
Experiment Results
25%
Attention Mechanism
25%
Novel Mechanism
12%
Challenging Tasks
12%
Information Hiding
12%
Dynamic Variation
12%
Massive Data
12%
Automatically Adjust
12%
Recommendation Model
12%
Ablation Study
12%
Dense Attention Mechanism
12%
Deep Learning Scheme
12%
Job Requirements
12%
Non-textual Features
12%
Aspect Attention
12%
Dynamic Interactive
12%
Resume Recommendation
12%
Non-text Features
12%
Preference Information
12%
Latent Preference
12%
Talent Recruitment
12%
Computer Science
Neural Network Model
100%
Deep Neural Network
100%
Attention (Machine Learning)
100%
Textual Feature
33%
Hidden Information
33%
Potential Candidate
33%
Baseline Method
33%
Job Requirement
33%
Deep Learning Method
33%
Engineering
Network Model
100%
Deep Neural Network
100%
Text Feature
33%
Deep Learning Method
33%
Earth and Planetary Sciences
State of the Art
100%