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Articles by Guangling Zhang
Aerospace Equipment Fault Diagnosis Method Based on Fuzzy Fault Tree Analysis and Interpretable Interval Belief Rule Base
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Encountering Product Information: How Flashes of Insight Improve Your Decisions on E-Commerce Platforms
Ayuda Buscar en la ayuda Buscar en la ayuda Encountering Product Information: How Flashes of Insight Improve Your Decisions on E-Commerce Platforms Lu Wang [1] ; Guangling Zhang [1] ; Dan Jiang [2] [1] Wuhan University, Wuhan 430072, China [2] Jingchu University of Technology, Jingmen 448000, China Localización: Journal of Theoretical and Applied Electronic Commerce Research, ISSN-e 0718-1876, Vol. 19, Nº. 3, 2024, págs.
Encountering Product Information: How Flashes of Insight Improve Your Decisions on E-Commerce Platforms
1. Introduction With the rapid development of e-commerce, information encountering (IE) in recommendation systems is gradually replacing precision prediction as a marketing strategy fiercely optimized by e-commerce platforms (such as Amazon, Spotify, and Netflix, et al.) [1]. This strategy not only elevates user engagement and satisfaction, thereby boosting turnover, but it also sustains the effective operation of these platforms.
Resilient Formation Reconfiguration for Leader-Follower Multi-UAVs
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
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