AIMC Topic: Marketing

Clear Filters Showing 1 to 10 of 46 articles

Decoding brand sentiments: Leveraging customer reviews for insightful brand perception analysis using natural language processing and Tableau.

PloS one
Traditional survey-based feedback has given way to real-time online reviews, yet transforming this unstructured text into actionable knowledge remains difficult. Focusing on the highly competitive smartphone market, where customer sentiment shapes br...

Improving bank customer churn prediction with feature reduction using GA.

Scientific reports
Customer churn is one complex problem that all banking institutes struggle to deal with. The increased competition in the industry is forcing the banks to maintain customer loyalty by providing apt services to the demanding customers. Analysing the c...

Deep momentum networks with market trend dynamics.

PloS one
Time-series momentum (TSMOM) trading strategies manage positions based on the persistence of return trends. Although long short-term memory (LSTM) deep neural architectures can enhance TSMOM, their performance often deteriorates during abrupt market ...

The application of deep learning in economic analysis and marketing strategy formulation in the tourism industry.

PloS one
The tourism industry is ever-evolving in nature, as it operates in a global marketplace that has become progressively global and offers great potential due to technological advances. The tourism industry faces challenges in accurately forecasting eco...

Temporal user interest modeling for online advertising using Bi-LSTM network improved by an updated version of Parrot Optimizer.

Scientific reports
In the era of digitization, online digital advertising is one of the best techniques for modern marketing. This makes advertisers rely heavily on accurate user interest and behavior modelling to deliver precise advertisement impressions and increase ...

Application of machine learning in predicting consumer behavior and precision marketing.

PloS one
with the intensification of market competition and the complexity of consumer behavior, enterprises are faced with the challenge of how to accurately identify potential customers and improve user conversion rate. This paper aims to study the applicat...

The analysis of marketing performance in E-commerce live broadcast platform based on big data and deep learning.

Scientific reports
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,...

NAH-GNN: A graph-based framework for multi-behavior and high-hop interaction recommendation.

PloS one
With the growing demand for personalized marketing, recommender systems have become essential tools to help users quickly discover products or content that match their interests. However, traditional recommendation methods face significant limitation...

Contemporary digital marketing techniques used in unhealthy food campaigns targeting young people.

Appetite
The digital marketing of unhealthy foods and non-alcoholic beverages has a detrimental impact on children's eating behaviours, leading to adverse diet-related health outcomes. To inform the development of evidence-based strategies to protect children...

Formative Research for the Development and Implementation of a Smartphone Application to Report Breaches to the International Code of Marketing of Breast-Milk Substitutes in Mexico.

Maternal & child nutrition
Almost 40 years after the adoption of the International Code of Marketing of Breast-Milk Substitutes ('the Code') in Mexico, noncompliance persists. In other countries, smartphone applications for reporting Code noncompliance have proven effective. T...