AIMC Topic: Consumer Behavior

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Customer churn modeling in telecommunication using a novel multi-objective evolutionary clustering-based ensemble learning.

PloS one
Customer churn prediction is vital for organizations to mitigate costs and foster growth. Ensemble learning models are commonly used for churn prediction. Diversity and prediction performance are two essential principles for constructing ensemble cla...

Consumer satisfaction, palliative care and artificial intelligence (AI).

BMJ supportive & palliative care
The scope of artificial intelligence (AI) in healthcare is promising, and AI has the potential to revolutionise the field of palliative care services also. Consumer satisfaction in palliative care is a critical aspect of providing high-quality end-of...

Social Listening for Product Design Requirement Analysis and Segmentation: A Graph Analysis Approach with User Comments Mining.

Big data
This study investigates customers' product design requirements through online comments from social media, and quickly translates these needs into product design specifications. First, the exponential discriminative snowball sampling method was propos...

Adoption of a deep learning-based neural network model in the psychological behavior analysis of resident tourism consumption.

Frontiers in public health
With the development of society and the continuous progress of science and technology, it has become the mainstream measure to promote the development of the social economy through science and technology. Therefore, to improve the current situation o...

Improved Classification Approach for Fruits and Vegetables Freshness Based on Deep Learning.

Sensors (Basel, Switzerland)
Classification of fruit and vegetable freshness plays an essential role in the food industry. Freshness is a fundamental measure of fruit and vegetable quality that directly affects the physical health and purchasing motivation of consumers. In addit...

Efficient Long Short-Term Memory-Based Sentiment Analysis of E-Commerce Reviews.

Computational intelligence and neuroscience
In today's modern era, e-commerce is making headway through the process of bringing goods within everyone's grasp. Consumers are not even required to step out of the comfort of their homes for buying things, which makes it very convenient for them. M...

The Impact of the Live Delivery of Goods on Consumers' Purchasing Behaviour in Complex Situations Based on Artificial Intelligence Technology.

Computational intelligence and neuroscience
With the development of information technology, the purchase of goods online has acquired a different dimension. This type of online purchase has made life easier for individuals by reducing the time required to travel and purchase. This online purch...

Research on Brand Image Evaluation Method Based on Consumer Sentiment Analysis.

Computational intelligence and neuroscience
Brand image assessment is a key step to reasonably quantify the value of a brand and has far-reaching significance for improving the competitiveness of an enterprise. With the rapid development of Internet technology, traditional questionnaires can n...

Exploration of consumer preference based on deep learning neural network model in the immersive marketing environment.

PloS one
The study intends to increase the marketing quantity of various commodities and promote the comprehensive development of the market. The study first discusses the principle and current situation of the emerging Immersive Marketing. Then, it analyzes ...

Prediction of Purchase Volume of Cross-Border e-Commerce Platform Based on BP Neural Network.

Computational intelligence and neuroscience
As a new form of foreign trade, cross-border e-commerce has huge development potential. Although the development prospect of cross-border e-commerce is good, the management of global supply chain is very important in order to gain a place in the fier...