Movie popularity and target audience prediction using the content-based recommender system

S Sahu, R Kumar, MS Pathan, J Shafi, Y Kumar… - IEEE …, 2022 - ieeexplore.ieee.org
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 …

Popularity prediction of movies: from statistical modeling to machine learning techniques

SMR Abidi, Y Xu, J Ni, X Wang, W Zhang - Multimedia Tools and …, 2020 - Springer
Film industries all over the world are producing several hundred movies rapidly and
grabbing the attraction of people of all ages. Every movie producer is of keen interest in …

Predicting movie popularity and ratings with visual features

FB Moghaddam, M Elahi, R Hosseini… - … on Semantic and …, 2019 - ieeexplore.ieee.org
In Movie Recommender Systems, when a new user registers to the system and she has not
yet provided any information about her, the system may not be able to generate …

[PDF][PDF] Recommendation engine for predicting best rated movies

VP Khadse, SM Basha, N Iyengar… - International Journal of …, 2018 - academia.edu
Recommendation systems are a subclass of information filtering system that seek to predict
the" rating" or" preference" that a user would give to an item. Recommendation systems …

[HTML][HTML] A recommendation engine for predicting movie ratings using a big data approach

MJ Awan, RA Khan, H Nobanee, A Yasin, SM Anwar… - Electronics, 2021 - mdpi.com
In this era of big data, the amount of video content has dramatically increased with an
exponential broadening of video streaming services. Hence, it has become very strenuous …

[PDF][PDF] Prediction of movies popularity using machine learning techniques

MH Latif, H Afzal - International Journal of Computer Science and …, 2016 - researchgate.net
Number of movies are released every week. There is a large amount of data related to the
movies is available over the internet, because of that much data available, it is an interesting …

Hybrid machine learning approach for popularity prediction of newly released contents of online video streaming services

H Jeon, W Seo, E Park, S Choi - Technological Forecasting and Social …, 2020 - Elsevier
In the industry of video content providers such as VOD and IPTV, predicting the popularity of
video contents in advance is critical, not only for marketing but also for network usage. By …

Analysis of Movie Recommendation Systems; with and without considering the low rated movies

MM Reddy, RS Kanmani… - … Conference on Emerging …, 2020 - ieeexplore.ieee.org
Movie recommendation system is one of the top research areas, currently. Due to the impact
of high internet speeds, multimedia has become one of the best entertainments …

Video popularity prediction: An autoencoder approach with clustering

YT Lin, CC Yen, JS Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Autoencoders implemented by artificial neural networks (ANNs) are utilized to learn the
latent space representation of data in an unsupervised manner, and they have been widely …

Fully content-based movie recommender system with feature extraction using neural network

HW Chen, YL Wu, MK Hor… - … conference on machine …, 2017 - ieeexplore.ieee.org
In recent years, movie industry is getting more and more prosperous. There are hundreds of
movies released every year. However, it is difficult to notice the releasing of every movie, not …