International Conference on Computer and Knowledge Engineering

Home / 11th International Conference on Computer and Knowledge Engineering

An Overview of Regression Methods in Early Prediction of Movie Ratings

Authors :

Houmaan Chamani¹ Zhivar Sourati Hassanzadeh² Behnam Bahrak³

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.

List of archived papers

Prediction of rTMS Treatment Response in Depression Using a Frequency-Based EEG Biomarker

Ali Asadi Zeidabadi - Saeid Rashidi

Segmentation of Coronary Artery Stenosis in X-ray Angiography using Mamba Models

Fatemeh Fouladi - Ali Rostami - Hedieh Sajedi

SingAll: Scalable Control Flow Checking for Multi-Process Embedded Systems

Mehdi Amininasab - Ahmad Patooghy - Mahdi Fazeli

Cluster Sampling: A Cluster-Driven Sampling Strategy for Deep Metric Learning

Hamideh Rafiee - Ahmad Ali Abin - Seyed Soroush Majd

Robat-e-Beheshti: A Persian Wake Word Detection Dataset for Robotic Purposes

Parisa Ahmadzadeh Raji - Yasser Shekofteh

T-Rank: Graph Data Analytics for Urban Traffic Modeling

Alireza Safarpour - Iman Gholampour - Amirhossain Aghazadeh Fard - Seyed Mohammad Karbasi

VVC-AAR: Adaptive Attention-Aware Resolution and Residual Coding for Perceptually Optimized Ultra-Low Bitrate VVC Compression

Yaghoub Saberi - Somayeh Arab Najafabadi - Mohammadreza Hemmati

Solving the influence maximization problem by using entropy and weight of edges

Farzaneh Kazemzadeh - Amir Karian - Mitra Mirzarezaee - Ali Asghar Safaei

Islamic Geometric algorithms: A survey

Elham Akbari - Azam Bastanfard

Leveraging Self-Supervised Models for Automatic Whispered Speech Recognition

Aref Farhadipour - Homa Asadi - Volker Dellwo

more

Samin Hamayesh - Version 43.7.0