AIMC Topic: Marketing

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The Application of the Unsupervised Migration Method Based on Deep Learning Model in the Marketing Oriented Allocation of High Level Accounting Talents.

Computational intelligence and neuroscience Jun 6, 2022
Deep learning is a branch of machine learning that uses neural networks to mimic the behaviour of the human brain. Various types of models are used in deep learning technology. This article will look at two important models and especially concentrate...
Marketing Neural Networks, Computer Algorithms Deep Learning Cluster Analysis Humans
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Research on Brand Image Evaluation Method Based on Consumer Sentiment Analysis.

Computational intelligence and neuroscience May 27, 2022
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...
Support Vector Machine Consumer Behavior Language Marketing Sentiment Analysis
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E-Commerce Marketing Optimization of Agricultural Products Based on Deep Learning and Data Mining.

Computational intelligence and neuroscience May 18, 2022
China Internet plus agriculture was first put forward in 2015 by the Chinese government's work report, laying the foundation for the development of Internet plus agriculture and promoting the rapid growth of e-commerce marketing of agricultural produ...
Deep Learning Agriculture Data Mining Commerce Marketing
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Exploration of consumer preference based on deep learning neural network model in the immersive marketing environment.

PloS one May 4, 2022
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 ...
Leisure Activities Consumer Behavior Marketing Neural Networks, Computer Deep Learning
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MSPM: A modularized and scalable multi-agent reinforcement learning-based system for financial portfolio management.

PloS one Feb 18, 2022
Financial portfolio management (PM) is one of the most applicable problems in reinforcement learning (RL) owing to its sequential decision-making nature. However, existing RL-based approaches rarely focus on scalability or reusability to adapt to the...
Investments Reinforcement, Psychology Decision Making Financial Management Marketing Humans Deep Learning
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Determining the factors of m-wallets adoption. A twofold SEM-ANN approach.

PloS one Jan 28, 2022
M-wallets are comparatively more advantageous and convenient than conventional payment systems as m-wallets allow users to avoid cash. The present research uses the diffusion of innovation theory as the base theory to propose a research model by inco...
Latent Class Analysis Models, Theoretical Marketing Neural Networks, Computer
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Marketable value estimation of patents using ensemble learning methodology: Focusing on U.S. patents for the electricity sector.

PloS one Sep 13, 2021
Patent valuation is required to revitalize patent transactions, but calculating a reasonable value that consumers and suppliers could satisfy is difficult. When machine learning is used, a quantitative evaluation based on a large volume of data is po...
United States Regression Analysis Marketing Humans Machine Learning Neural Networks, Computer Patents as Topic Algorithms Data Mining Electricity
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The adoption of cryptocurrency as a disruptive force: Deep learning-based dual stage structural equation modelling and artificial neural network analysis.

PloS one Mar 8, 2021
In recent years, the growth of cryptocurrency has undergone an enormous increase in cryptocurrency markets all around the world. Sadly, only insignificant heed has been paid to the unveiling of determinants of cryptocurrency adoption globally, partic...
Malaysia Models, Statistical Least-Squares Analysis Humans Developing Countries Deep Learning Latent Class Analysis Marketing Neural Networks, Computer Intention Trust Internet of Things
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Insights into mobile health application market via a content analysis of marketplace data with machine learning.

PloS one Jan 6, 2021
BACKGROUND: Despite the benefits offered by an abundance of health applications promoted on app marketplaces (e.g., Google Play Store), the wide adoption of mobile health and e-health apps is yet to come.
Marketing Knowledge Social Networking Feedback Machine Learning Mobile Applications Telemedicine Consumer Behavior Privacy
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Applying Internet information technology combined with deep learning to tourism collaborative recommendation system.

PloS one Dec 3, 2020
Recently, more personalized travel methods have emerged in the tourism industry, such as individual travel and self-guided travel. The service models of traditional tourism limit the diversity of service options and cannot fully meet the individual n...
Marketing Internet Data Analysis Information Technology Tourism Deep Learning
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