Enhancing Online Food Service User Experience Through Advanced Analytics and Hybrid Deep Learning for Comprehensive Evaluation-Reference-Cited by-同舟云学术

Enhancing Online Food Service User Experience Through Advanced Analytics and Hybrid Deep Learning for Comprehensive Evaluation

Published:2024 Issue: Volume:12 Page:70999-71009
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Alshahrani Hussain¹^ORCID,Abdullah Mengash Hanan²^ORCID,Maashi Mashael³^ORCID,Kouki Fadoua⁴,Mahmud Ahmed⁵,Duhayyim Mesfer Al⁶^ORCID

Affiliation:

1. Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabia

2. Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box, 84428, Riyadh, Saudi Arabia

3. Department of Software Engineering, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia

4. Department of Financial and Banking Sciences, Applied College at Muhail Aseer, King Khalid University, Abha, Saudi Arabia

5. Research Center, Future University in Egypt, New Cairo, Egypt

6. Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia

Funder

Deanship of Research and Graduate Studies at King Khalid University for funding this work through Large Research Project

Princess Nourah bint Abdulrahman University Researchers Supporting Project number

Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Research Supporting Project number

King Saud University, Riyadh, Saudi Arabia

Prince Sattam bin Abdulaziz University project number

Future University in Egypt

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10531271.pdf?arnumber=10531271

Reference22 articles.

1. CRNet: a multimodal deep convolutional neural network for customer revisit prediction

2. A Novel Time-Aware Food Recommender-System Based on Deep Learning and Graph Clustering

3. Modeling user concerns in Sharing Economy: the case of food delivery apps

4. Deepsentimodels: A Novel Hybrid Deep Learning Model for an Effective Analysis of Ensembled Sentiments in E-Commerce and S-Commerce Platforms

5. Unboxing Deep Learning Model of Food Delivery Service Reviews Using Explainable Artificial Intelligence (XAI) Technique