AI-driven ensemble three machine learning to enhance digital marketing strategies in the food delivery business-Reference-Cited by-同舟云学术

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AI-driven ensemble three machine learning to enhance digital marketing strategies in the food delivery business

Published:2023-05 Issue: Volume:18 Page:200235
ISSN:2667-3053
Container-title:Intelligent Systems with Applications
language:en
Short-container-title:Intelligent Systems with Applications

Author:

Yaiprasert Chairote^ORCID,Hidayanto Achmad Nizar

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,Computer Vision and Pattern Recognition,Signal Processing,Computer Science (miscellaneous)

Reference46 articles.

1. A study on pay-per-click advertising;Agarwal;Asian Journal of Multidimensional Research,2021

2. Data mining: The textbook;Aggarwal,2016

3. Social media marketing: A literature review and implications;Alves;Psychology & Marketing,2021

4. eServices report 2022 – online food delivery;Baron,2022

5. Customer experience in retail: A systematic literature review;Bascur;Applied Sciences,2020

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1. Transforming Data Visualization With AI and ML;Advances in Business Information Systems and Analytics;2024-09-13

2. An Economic Perspective on the Implementation of Artificial Intelligence in the Restaurant Sector;Administrative Sciences;2024-09-10

3. Enhancing plant-based cheese formulation through molecular docking and dynamic simulation of tocopherol and retinol complexes with zein, soy and almond proteins via SVM-machine learning integration;Food Chemistry;2024-09

4. Examining the applicability of the Protection of Personal Information Act in AI-driven environments;South African Journal of Information Management;2024-08-30

5. Hospitality customer intentions to write fake online reviews: A cross-cultural approach;International Journal of Hospitality Management;2024-07

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