A novel E-commerce recommender system using deep learning approaches*-Reference-Cited by-同舟云学术

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A novel E-commerce recommender system using deep learning approaches*

Published:2024-05-08 Issue: Volume:4 Page:1-8
ISSN:
Container-title:2024 International Conference on Intelligent Systems and Computer Vision (ISCV)
language:
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Author:

Karabila Ikram¹,Darraz Nossayba¹,El-Ansari Anas²,Alami Nabil³,Chenouni Salma⁴,El Mallahi Mostafa¹

Affiliation:

1. Sidi Mohamed Ben Abdellah University,High Normal School,Department of Mathematics and Computer Science, IPI Laboratory,Fez,Morocco

2. Mohammed First University,MASI Laboratory,Polydisciplinary Faculty Computer Science Department,Nador,Morocco

3. Mohammed First University,Higher School of Technology MASI Laboratory,Nador,Morocco

4. Avicenna University Hospital Center Faculty of Medicine and Pharmacy of Rabat, Mohamed V University of Rabat,Resident Doctor in Radiology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10620018/10620073/10620102.pdf?arnumber=10620102

Reference17 articles.

1. A social-semantic recommender system for advertisements

2. The effect of kernel values in support vector machine to forecasting performance of financial time series;Altan;The Journal of Cognitive Systems,2019

3. BERT-enhanced sentiment analysis for personalized e-commerce recommendations

4. Advances in Collaborative Filtering

5. Content-based Recommender Systems: State of the Art and Trends

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