Evaluating the Performance of AlexNet and SVM for Tourism Recommendation

T. Reddy, K. Vijayalakshmi

2023

Abstract

This study aimed to enhance a tourism recommendation system using the novel AlexNet classifier, contrasting it with the Support Vector Machine (SVM) algorithm. An alpha value of 0.05 and G Power of 0.8 determined an appropriate sample size, with a confidence interval of 95%. Of the 5,456 samples, 3,819 were for training and 1,637 for testing. The AlexNet and SVM algorithms were labelled as "Group 1" and "Group 2", respectively, and both underwent 20 test iterations. Results revealed the AlexNet Classifier achieved a 97.20% accuracy rate, surpassing the SVM’s 92.45%. A significant statistical difference was confirmed between the two algorithms, suggesting AlexNet provides more accurate travel recommendations.

Paper Citation

in Harvard Style

Reddy T. and Vijayalakshmi K. (2023). Evaluating the Performance of AlexNet and SVM for Tourism Recommendation. In Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT; ISBN 978-989-758-661-3, SciTePress, pages 44-50. DOI: 10.5220/0012544000003739

in Bibtex Style

@conference{ai4iot23,
author={T. Reddy and K. Vijayalakshmi},
title={Evaluating the Performance of AlexNet and SVM for Tourism Recommendation},
booktitle={Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT},
year={2023},
pages={44-50},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012544000003739},
isbn={978-989-758-661-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Artificial Intelligence for Internet of Things: Accelerating Innovation in Industry and Consumer Electronics - Volume 1: AI4IoT
TI - Evaluating the Performance of AlexNet and SVM for Tourism Recommendation
SN - 978-989-758-661-3
AU - Reddy T.
AU - Vijayalakshmi K.
PY - 2023
SP - 44
EP - 50
DO - 10.5220/0012544000003739
PB - SciTePress