Prediction of Movies popularity Using Machine Learning Techniques

被引:0
作者
Latif, Muhammad Hassan [1 ]
Afzal, Hammad [1 ]
机构
[1] Natl Univ Sceinces & Technol, H-12, Isb, Pakistan
来源
INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2016年 / 16卷 / 08期
关键词
machine learning; classification; movies; logistic;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
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 data mining topic. The prediction of movies is complex problem. Every viewer, producer, director's production houses all are curious about the movies that how it will perform in the theatre. Many work has been done relating to movies using social networking, blogs articles but much less has been explored by the data and attributes related to a movie which is continuous and in different dimensions. We have used IMDB for our experimentation. We created dataset and then transformed it and applied machine learning approaches to build efficient models that can predict the movies popularity.
引用
收藏
页码:127 / 131
页数:5
相关论文
共 16 条
[1]  
APTE N, 2011, CS229 STANF U
[2]  
Asad Khalid Ibnal, IEEE OSA IAPR INT C, P747
[3]  
Asur Sitaram, PREDICTING FUTURE WI
[4]  
Bashir Saba, 12 INT C FRONT INF T, P226
[5]  
Ericson Jeffrey, CS229 STANF U
[6]  
Han J, 2012, MOR KAUF D, P1
[7]  
Im Darin, 2011, 229 CS
[8]  
Joshi M., 2010, HUMAN LANGUAGE TECHN, P293
[9]   Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data [J].
Mestyan, Marton ;
Yasseri, Taha ;
Kertesz, Janos .
PLOS ONE, 2013, 8 (08)
[10]  
Nithin VR., 2014, INT J DATA MIN TECH, V3, P365