LEVY
发表于 2025-3-25 05:30:35
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FELON
发表于 2025-3-25 07:54:25
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改革运动
发表于 2025-3-25 14:44:42
https://doi.org/10.1007/978-3-031-32299-0e-business; e-commerce; information systems; recommender systems; data mining; decision support systems; d
apiary
发表于 2025-3-25 16:49:25
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coddle
发表于 2025-3-25 21:45:44
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工作
发表于 2025-3-26 01:04:08
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ellagic-acid
发表于 2025-3-26 07:02:27
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旋转一周
发表于 2025-3-26 11:17:56
A Tripartite View on Performance Matrices of Live Commerce,n of products. We propose a tripartite view of the core elements in the live commerce context, including streamers as sellers, following fans as consumers, and streaming videos of product demonstration, that potentially affect live commerce performance matrices in terms of sales volume, sales effici
FILTH
发表于 2025-3-26 14:58:30
Synergizes HeXie Management Framework with Program Management Approach for Industry 4.0 Transformatanagement theory with a program management approach increases the industry 4.0 project success rate. Eventually, help those SMEs to achieve their strategic goals as a practical contribution. Also, the article optimises HeXie management theory from a conception to an applicable implementation model f
伦理学
发表于 2025-3-26 18:50:57
Big Data-Based Recommendation Algorithm in E-commerce Personalized Marketing,eting. Its recommendation accuracy and efficiency directly affect the overall performance of the recommendation system. E-commerce recommendation algorithm based on data mining technology, in-depth analysis of various user data especially user access data, get each user’s hobbies, interests and spec