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Marketing

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Lightweight Deep Learning Model for Marketing Strategy Optimization and Characteristic Analysis.

Computational intelligence and neuroscience
The business model of traditional market is declining day by day, and people's consumption cognition has risen to a new level with the leap in science and technology. Enterprises need to adjust and optimize their marketing strategies in time accordin...

Research on E-Commerce Database Marketing Based on Machine Learning Algorithm.

Computational intelligence and neuroscience
From simple commercial relations to complex online transactions at this stage, it not only highlights the progress of science and technology, but also indirectly explains the diversified evolution of marketing methods and means. In marketing, databas...

Sales Forecast of Marketing Brand Based on BP Neural Network Model.

Computational intelligence and neuroscience
With the advancement of globalization, the market competition among enterprises has become increasingly intense. To win a good market, an enterprise must understand and grasp the laws of the market economy and accordingly predict the future of the ma...

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
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...

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...

E-Commerce Marketing Optimization of Agricultural Products Based on Deep Learning and Data Mining.

Computational intelligence and neuroscience
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...

Analysis of top box office film poster marketing scheme based on data mining and deep learning in the context of film marketing.

PloS one
With the development of science and technology and the continuous changes of social environment, the development prospect of traditional cinema is worrying. This work aims to improve the publicity effect of movie posters and optimize the marketing ef...

Towards effective restriction of unhealthy food marketing to children: unlocking the potential of artificial intelligence.

The international journal of behavioral nutrition and physical activity
The World Health Organization recommends that member states enact policies to limit unhealthy food marketing to children. Chile enacted relatively stringent laws that restrict unhealthy food marketing to children in two phases, beginning in 2016. Dil...

Marketing and US Food and Drug Administration Clearance of Artificial Intelligence and Machine Learning Enabled Software in and as Medical Devices: A Systematic Review.

JAMA network open
IMPORTANCE: The marketing of health care devices enabled for use with artificial intelligence (AI) or machine learning (ML) is regulated in the US by the US Food and Drug Administration (FDA), which is responsible for approving and regulating medical...

Identification and Characterization of Synthetic Nicotine Product Promotion and Sales on Instagram Using Natural Language Processing.

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco
INTRODUCTION: There has been a rapid proliferation of synthetic nicotine products in recent years, despite newly established regulatory authority and limited research into its health risks. Previous research has implicated social media platforms as a...