AIMC Topic: Commerce
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Enhanced E-commerce decision-making through sentiment analysis using machine learning-based approaches and IoT.
PloS one
Jun 30, 2025
E-commerce is a vital component of the world economy, providing people with a simple and convenient method for shopping and enabling businesses to expand into new global markets. Improving e-commerce decision-making by utilizing IoT and machine intel...
Decomposition-reconstruction-optimization framework for hog price forecasting: Integrating STL, PCA, and BWO-optimized BiLSTM.
PloS one
Jun 27, 2025
This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price serie...
Does the registration system reform reduce the finance sector's risk spillover effect in China's stock market-Causal inference based on dual machine learning.
PloS one
Jun 18, 2025
With growing uncertainty in global trade, improving access to domestic capital markets has become an important way to manage financial risk spillovers. This study examines how the registration system reform affects the finance sector's risk spillover...
Will the inclusion of AI anchors enhance the operational performance of live streaming e-commerce supply chains?
PloS one
Jun 17, 2025
With the rapid growth of the live streaming e-commerce market, traditional live streaming models are encountering mounting challenges, whereas the advent of artificial intelligence (AI) technology has breathed new life into live streaming. This paper...
Enhancing corn industry sustainability through deep learning hybrid models for price volatility forecasting.
PloS one
Jun 9, 2025
The fluctuations in corn prices not only increase uncertainty in the market but also affect farmers' planting decisions and income stability, while also impeding crucial investments in sustainable agricultural practices. Collectively, these factors j...
Risk formulation mechanism among top global energy companies under large shocks.
PloS one
May 23, 2025
Taking top global energy companies as the epitome, this paper investigates the risk formulation mechanism of the international energy market under the impact of large shocks. We first use the machine learning method in (Liu and Pun, 2022) to calculat...
Forecasting second-hand house prices in China using the GA-PSO-BP neural network model.
PloS one
May 7, 2025
While the traditional genetic algorithms are capable of forecasting house prices, they often suffer from premature convergence, which adversely affects the reliability of the forecasts. To address this issue, the research employs a genetic-particle s...
TCN-QV: an attention-based deep learning method for long sequence time-series forecasting of gold prices.
PloS one
May 5, 2025
Accurate prediction of gold prices is crucial for investment decision-making and national risk management. The time series data of gold prices exhibits random fluctuations, non-linear characteristics, and high volatility, making prediction extremely ...
Exploring the drivers of digital transformation in Chinese port and shipping enterprises: A machine learning approach.
PloS one
May 5, 2025
With the transition to a global green low-carbon economy, the urgency for digital transformation in the port and shipping industry has become increasingly prominent in making enterprises more efficient and sustainable. This study focuses on how Chine...
The analysis of marketing performance in E-commerce live broadcast platform based on big data and deep learning.
Scientific reports
May 4, 2025
This study aims to conduct a comprehensive and in-depth analysis of the marketing performance of e-commerce live broadcast platforms based on big data management technology and deep learning. Firstly, by synthesizing large-scale datasets and surveys,...
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