A review of movie recommendation system: Limitations, Survey and Challenges
M Goyani, N Chaurasiya - ELCVIA: electronic letters on computer vision …, 2020 - ddd.uab.cat
Recommendation System is a major area which is very popular and useful for people to take
proper decision. It is a method that helps user to find out the information which is beneficial …
proper decision. It is a method that helps user to find out the information which is beneficial …
RETRACTED ARTICLE: Customer centric hybrid recommendation system for E-Commerce applications by integrating hybrid sentiment analysis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 …
Explainable AI in big data intelligence of community detection for digitalization e-healthcare services
Recommender Systems are designed to analysis the available data in the system to predict
user's desires and provide appropriate personalized suggestions to each user that suits their …
user's desires and provide appropriate personalized suggestions to each user that suits their …
[HTML][HTML] Movie recommendation and sentiment analysis using machine learning
In the modern world, where technology is at the forefront of every industry, there has been
an overload of information and data. Thus, a recommendation system comes in handy to …
an overload of information and data. Thus, a recommendation system comes in handy to …
Opinion mining on US Airline Twitter data using machine learning techniques
AI Saad - 2020 16th international computer engineering …, 2020 - ieeexplore.ieee.org
The Airline sector is an important field nowadays in the market. In order to keep that sector
alive and up to date we have to consider opinion mining. Text sentiment analysis is a …
alive and up to date we have to consider opinion mining. Text sentiment analysis is a …
[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 …
commerce, media, banking, and utilities. This kind of system provides personalized …
Movie popularity and target audience prediction using the content-based recommender system
The movie is one of the integral components of our everyday entertainment. The worldwide
movie industry is one of the most growing and significant industries and seizing the attention …
movie industry is one of the most growing and significant industries and seizing the attention …
[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 …
[HTML][HTML] 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 …
[HTML][HTML] A hybrid recommendation system of upcoming movies using sentiment analysis of youtube trailer reviews
Movies are one of the integral components of our everyday entertainment. In today's world,
people prefer to watch movies on their personal devices. Many movies are available on all …
people prefer to watch movies on their personal devices. Many movies are available on all …