A Recommendation Method for Power Staff Skills and Knowledge Considering User's Personalized Rating-Reference-Cited by-同舟云学术

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A Recommendation Method for Power Staff Skills and Knowledge Considering User's Personalized Rating

Published:2023-06-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 7th International Conference on High Performance Compilation, Computing and Communications
language:
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Author:

Han Songming¹^ORCID,Ding Wei²^ORCID,Nam Kwang Woo³^ORCID

Affiliation:

1. Electric Power Research Institute of Guangxi Power Grid Co., Ltd, China

2. Shandong Computer Science Center (National Supercomputer Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), China

3. Kunsan National University, South Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3606043.3606059

Reference17 articles.

1. A New Architecture for Cognitive Internet of Things and Big Data

2. Research on investment decision-making model from the perspective of “Internet of Things + Big data”

3. Information security burnout: Identification of sources and mitigating factors from security demands and resources

4. Mitigating information overload in social media during conflicts and crises: design and evaluation of a cross-platform alerting system

5. Neighborhood Aggregation Collaborative Filtering Based on Knowledge Graph

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

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