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RETRACTED ARTICLE: Customer centric hybrid recommendation system for E-Commerce applications by integrating hybrid sentiment analysis
Internet applications such as Online Social Networking and Electronic commerce are
becoming incredibly common, resulting in more content being available. Recommender …
becoming incredibly common, resulting in more content being available. Recommender …
[HTML][HTML] An approach to integrating sentiment analysis into recommender systems
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 …
commerce, media, banking, and utilities. This kind of system provides personalized …
[HTML][HTML] Towards cognitive recommender systems
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 …
adapt to new situations. In this context, an intelligent Recommender System should be able …
Enhancing collaborative filtering-based recommender system using sentiment analysis
Recommendation systems (RSs) are widely used in e-commerce to improve conversion
rates by aligning product offerings with customer preferences and interests. While traditional …
rates by aligning product offerings with customer preferences and interests. While traditional …
BERT-enhanced sentiment analysis for personalized e-commerce recommendations
Recommendation systems (RS) play a crucial role in enhancing conversion rates in e-
commerce by offering personalized product recommendations based on customer …
commerce by offering personalized product recommendations based on customer …
A Comparative Study of Sentiment-Aware Collaborative Filtering Algorithms for Arabic Recommendation Systems
The rapid proliferation of online information necessitates efficient Recommendation Systems
(RSs) to assist users in discovering relevant content. While English-language RSs have …
(RSs) to assist users in discovering relevant content. While English-language RSs have …
Integrating contextual sentiment analysis in collaborative recommender systems
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 …
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 …
from learning which videos could be recommended to users on streaming websites, to …
Integrated sentiment analysis with BERT for enhanced hybrid recommendation systems
Recommendation systems play a crucial role in assisting users by providing personalized
suggestions based on their preferences. However, these systems often face challenges …
suggestions based on their preferences. However, these systems often face challenges …
[HTML][HTML] Improving graph-based movie recommender system using cinematic experience
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 …
consequent difficulties in selecting appropriate movie titles. Although much research has …