AIMC Topic: Commerce

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Unleashing the mechanism among environmental regulation, artificial intelligence, and global value chain leaps: a roadmap toward digital revolution and environmental sustainability.

Environmental science and pollution research international
Strengthening environmental regulation and adhering to the green as well as sustainable development of China's manufacturing industry has become an inevitable trend. Technological innovation leads to industrial transformation, and artificial intellig...

Fast Explainable Recommendation Model by Combining Fine-Grained Sentiment in Review Data.

Computational intelligence and neuroscience
With the rapid development of e-commerce, recommendation system has become one of the main tools that assists users in decision-making, enhances user's experience, and creates economic value. Since it is difficult to explain the implicit features gen...

A Dynamic Prediction Neural Network Model of Cross-Border e-Commerce Sales for Virtual Community Knowledge Sharing.

Computational intelligence and neuroscience
In this paper, a neural network algorithm is used to conduct in-depth research and analysis on the sales dynamics prediction of virtual community knowledge sharing in cross-border e-commerce. Both the expected returns and the social network structure...

A Deep Ranking Weighted Multihashing Recommender System for Item Recommendation.

Computational intelligence and neuroscience
Collaborative filtering (CF) techniques are used in recommender systems to provide users with specialised recommendations on social websites and in e-commerce. But they suffer from sparsity and cold start problems (CSP) and fail to interpret why they...

Artificial Intelligence Based Customer Churn Prediction Model for Business Markets.

Computational intelligence and neuroscience
The introduction of artificial intelligence (AI) and machine learning (ML) technologies in recent years has resulted in improved company performance. Customer churn forecast is a difficult problem in many corporate sectors, particularly the telecommu...

Application of Price Competition Model Based on Computational Neural Network in Risk Prediction of Transnational Investment.

Computational intelligence and neuroscience
Aiming at the scenario where edge devices rely on cloud servers for collaborative computing, this paper proposes an efficient edge-cloud collaborative reasoning method. In order to meet the application's specific requirements for delay or accuracy, a...

A Deep Spiking Neural Network Anomaly Detection Method.

Computational intelligence and neuroscience
Cyber-attacks on specialized industrial control systems are increasing in frequency and sophistication, which means stronger countermeasures need to be implemented, requiring the designers of the equipment in question to re-evaluate and redefine thei...

Digital Transformation and Financial Risk Prediction of Listed Companies.

Computational intelligence and neuroscience
Digitalization is a revolution, a frontal battleground in the new global competitive landscape, and a long-distance race for which all employees must be prepared, and organizations must actively embrace the resulting changes. The article begins by an...

Continuous biomanufacturing with microbes - upstream progresses and challenges.

Current opinion in biotechnology
Current biomanufacturing facilities are mainly built for batch or fed-batch operations, which are subject to low productivities and do not achieve the great bioconversion potential of the rewired cells generated via modern biotechnology. Continuous b...

Item Relationship Graph Neural Networks for E-Commerce.

IEEE transactions on neural networks and learning systems
In a modern e-commerce recommender system, it is important to understand the relationships among products. Recognizing product relationships-such as complements or substitutes-accurately is an essential task for generating better recommendation resul...