Ikram Karabila

According to our database, Ikram Karabila authored at least 7 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of six.
• Erdős number of five.

2025

Enhancing recommendation systems with collaborative filtering and sentiment analysis: dimensionality reduction for improved content-based approaches.

Nossayba Darraz, Ikram Karabila, Anas El-Ansari, Nabil Alami, Mostafa El Mallahi

Knowl. Inf. Syst., August, 2025

Detecting trending products through moving average and sentiment analysis.

Nossayba Darraz, Ikram Karabila, Anas El-Ansari, Nabil Alami, Mostafa El Mallahi

Multim. Tools Appl., April, 2025

A hybrid approach combining sentiment analysis and deep learning to mitigate data sparsity in recommender systems.

Ikram Karabila, Nossayba Darraz, Anas El-Ansari, Nabil Alami, Mostafa El Mallahi

Neurocomputing, 2025

Advancing recommendation systems with DeepMF and hybrid sentiment analysis: Deep learning and Lexicon-based integration.

Nossayba Darraz, Ikram Karabila, Anas El-Ansari, Nabil Alami, Mostafa El Mallahi

Expert Syst. Appl., 2025

Integrated sentiment analysis with BERT for enhanced hybrid recommendation systems.

Nossayba Darraz, Ikram Karabila, Anas El-Ansari, Nabil Alami, Mostafa El Mallahi

Expert Syst. Appl., 2025

2024

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

Ikram Karabila, Nossayba Darraz, Anas El-Ansari, Nabil Alami, Mostafa El Mallahi

Multim. Tools Appl., 2024

2023

Enhancing Collaborative Filtering-Based Recommender System Using Sentiment Analysis.

Ikram Karabila, Nossayba Darraz, Anas El-Ansari, Nabil Alami, Mostafa El Mallahi

Future Internet, July, 2023