0% Complete
Home
/
11th International Conference on Computer and Knowledge Engineering
An Overview of Regression Methods in Early Prediction of Movie Ratings
Authors :
Houmaan Chamani
1
Zhivar Sourati Hassanzadeh
2
Behnam Bahrak
3
1- University of Tehran
2- University of Tehran
3- University of Tehran
Keywords :
Machine learning, Movie rating prediction, IMDB, Movie success, Regression
Abstract :
Globalization and rapid developments of the last decades have created an abundance of interest in various aspects of the mass-scaled movie industry. Thousands of movies are released each year around the globe. Also, large amounts of data surrounding each title are available at a click, hence it has never been easier to collect and analyze movie metadata in order to extract valuable insights. In this work, we have collected metadata on over 450K featured movies from IMDB and performed multiple regression methods to come up with an early prediction of movie ratings as an important success factor.
Papers List
List of archived papers
Enhancing Persian Word Sense Disambiguation with Large Language Models: Techniques and Applications
Fatemeh Zahra Arshia - Saeedeh Sadat Sadidpour
Analysis of Insect-plant Interactions Affected by Mining operations, A Graph Mining Approach
Mohammad Heydari - Ali Bayat - Amir Albadvi
Density Estimation Helps Adversarial Robustness
Afsaneh Hasanebrahimi - Bahareh Kaviani Baghbaderani - Reshad Hosseini - Ahmad Kalhor
Cross-project Defect Prediction with An Enhanced Transfer Boosting Algorithm
Nazgol Nikravesh - Mohammad Reza Keyvanpour
Traffic Sign Recognition Using Local Vision Transformer
Ali Farzipour - Omid Nejati Manzari - Shahriar B. Shokouhi
SUT: a new multi-purpose synthetic dataset for Farsi document image analysis
Elham Shabaninia - Fatemeh sadat Eslami - Ali Afkari Fahandari - Hossein Nezamabadi-pour
PowerLinear Activation Functions with application to the first layer of CNNs
Kamyar Nasiri - Kamaledin Ghiasi-Shirazi
An interactive user groups recommender system based on reinforcement learning
Hediyeh Naderi Allaf - Mohsen Kahani
Swin-RSCBNet: A Transformer-Based Network for Skin Cancer Segmentation with Multi-Scale and Attention Modules
Benyamin Mirab Golkhatmi - Mostafa Heydari - Mahboobeh Houshmand - Seyyed Abed Hosseini
A New Application of Machine Learning Based Methods for Disk Space Variation Fault Diagnosis in Transformer Windings
Reza Behkam - Amir Lotfi - Gevork B. Gharehpetian
more
Samin Hamayesh - Version 43.7.0