RETRACTED ARTICLE: Customer centric hybrid recommendation system for E-Commerce applications by integrating hybrid sentiment analysis

AL Karn, RK Karna, BR Kondamudi, G Bagale… - Electronic commerce …, 2023 - Springer
Internet applications such as Online Social Networking and Electronic commerce are
becoming incredibly common, resulting in more content being available. Recommender …

[HTML][HTML] An approach to integrating sentiment analysis into recommender systems

CN Dang, MN Moreno-García, FD Prieta - Sensors, 2021 - mdpi.com
Recommender systems have been applied in a wide range of domains such as e-
commerce, media, banking, and utilities. This kind of system provides personalized …

[HTML][HTML] Towards cognitive recommender systems

A Beheshti, S Yakhchi, S Mousaeirad, SM Ghafari… - Algorithms, 2020 - mdpi.com
Intelligence is the ability to learn from experience and use domain experts' knowledge to
adapt to new situations. In this context, an intelligent Recommender System should be able …

Enhancing collaborative filtering-based recommender system using sentiment analysis

I Karabila, N Darraz, A El-Ansari, N Alami, M El Mallahi - Future Internet, 2023 - mdpi.com
Recommendation systems (RSs) are widely used in e-commerce to improve conversion
rates by aligning product offerings with customer preferences and interests. While traditional …

BERT-enhanced sentiment analysis for personalized e-commerce recommendations

I Karabila, N Darraz, A EL-Ansari, N Alami… - Multimedia Tools and …, 2024 - Springer
Recommendation systems (RS) play a crucial role in enhancing conversion rates in e-
commerce by offering personalized product recommendations based on customer …

A Comparative Study of Sentiment-Aware Collaborative Filtering Algorithms for Arabic Recommendation Systems

SM Al-Ghuribi, SAM Noah, MA Mohammed… - IEEE …, 2024 - ieeexplore.ieee.org
The rapid proliferation of online information necessitates efficient Recommendation Systems
(RSs) to assist users in discovering relevant content. While English-language RSs have …

Integrating contextual sentiment analysis in collaborative recommender systems

NA Osman, SA Mohd Noah, M Darwich, M Mohd - Plos one, 2021 - journals.plos.org
Recently. recommender systems have become a very crucial application in the online
market and e-commerce as users are often astounded by choices and preferences and they …

Comparative Review on Sentiment analysis-based Recommendation system

A Nair, C Paralkar, J Pandya, Y Chopra… - 2021 6th International …, 2021 - ieeexplore.ieee.org
Recommendation systems are ubiquitous these days and are used in nearly every domain;
from learning which videos could be recommended to users on streaming websites, to …

Integrated sentiment analysis with BERT for enhanced hybrid recommendation systems

N Darraz, I Karabila, A El-Ansari, N Alami… - Expert Systems With …, 2025 - Elsevier
Recommendation systems play a crucial role in assisting users by providing personalized
suggestions based on their preferences. However, these systems often face challenges …

[HTML][HTML] Improving graph-based movie recommender system using cinematic experience

CS Lee, DH Han, K Han, M Yi - Applied Sciences, 2022 - mdpi.com
With the advent of many movie content platforms, users face a flood of content and
consequent difficulties in selecting appropriate movie titles. Although much research has …