Deep learning-based recommendation method for top-\(K\) tasks in software crowdsourcing systems

DOI10.3934/jimo.2022223OpenAlexW4312666241MaRDI QIDQ2698575

Anning Wang, Xiaonong Lu, Panos M. Pardalos, Zhanglin Peng, Dequan Wan

Publication date: 24 April 2023

Published in: Journal of Industrial and Management Optimization (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3934/jimo.2022223

zbMATH Keywords

deep learningattention mechanismuser preferencerecommendation algorithmsoftware crowdsourcing

Mathematics Subject Classification ID

Applications of statistics to economics (62P20) Management decision making, including multiple objectives (90B50)

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Cites Work

• RCMARS: robustification of CMARS with different scenarios under polyhedral uncertainty set
• A unified task recommendation strategy for realistic mobile crowdsourcing system
• Identifying and determining crowdsourcing service strategies: an empirical study on a crowdsourcing platform in China
• Infinite kernel learning via infinite and semi-infinite programming

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