Gaussian Mixture Model Based Prediction Method of Movie Rating

被引：0

作者：

Zhu, Jiaxin ^{[1
]}

Guo, Yijun ^{[1
]}

Hao, Jianjun ^{[1
]}

Li, Jianfeng ^{[1
]}

Chen, Duo ^{[2
]}

机构：

[1] Beijing Lab Adv Informat Network, Beijing, Peoples R China

[2] State Key Lab Informat Photon & Opt Commun, Beijing, Peoples R China

来源：

2016 2ND IEEE INTERNATIONAL CONFERENCE ON COMPUTER AND COMMUNICATIONS (ICCC) | 2016年

关键词：

movie rating; prediction; GMM; data mining;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Nowadays, with the increasing usage of the internet, the movie ratings on the SNS website related to movies influence our choice of movies remarkably. However, a newly released film has insufficient rating counts to reflect the quality of the movie, and it can not avoid the influence of malicious rating by some people. Therefore, this paper proposes a method of rating prediction based on Gaussian Mixture Model (GMM), enabled by imitating rating behavior of audience. Meanwhile, this model can avoid the influence of malicious rating because GMM is not sensitive to exception. In GMM, 4 features of the movies are taken into consideration. In order to verify the validity of our model, data from Douban website is used in the implementation. Experimental results exhibit the effectiveness of the method and an improved performance of rating prediction is achieved compared with the benchmark of linear regression.

引用

页码：2114 / 2118

页数：5

共 50 条

[41] A GAUSSIAN MIXTURE MODEL-BASED REGULARIZATION METHOD IN ADAPTIVE IMAGE RESTORATION
Liu Peng Zhang Yan Mao Zhigang (Shenzhen Graduate School
[J]. Journal of Electronics(China), 2007, (01) : 83 - 89
[42] Research on Fuzzing Test Case Generation Method Based on Gaussian Mixture Model
Fu Jingqi
Cao Yifan
Yi Mubai
[J]. PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 2019, : 2674 - 2678
[43] Multipath mitigation method based on Gaussian mixture model in RF relative measurement
[J]. LIU, Rongke (rongke_liu@buaa.edu.cn), 2018, Chinese Journal of Aeronautics (31)
[44] A Method to Calculate Carbon Footprint of Processing Sectors Based on Gaussian Mixture Model
Liu Xueping
Liu Zhishan
Xiang Dong
Gao Lang
Cui Yang
Liu Yu
[J]. AUTOMATIC CONTROL AND MECHATRONIC ENGINEERING II, 2013, 415 : 692 - +
[45] Gaussian Mixture Models as Flux Prediction Method for Central Receivers
Grobler, Annemarie
Gauche, Paul
Smit, Willie
[J]. SOLARPACES 2015: INTERNATIONAL CONFERENCE ON CONCENTRATING SOLAR POWER AND CHEMICAL ENERGY SYSTEMS, 2016, 1734
[46] A flexible spectral modification method based on temporal decomposition and Gaussian mixture model
Binh Phu Nguyen
Akagi, Masato
[J]. ACOUSTICAL SCIENCE AND TECHNOLOGY, 2009, 30 (03) : 170 - 179
[47] A moving object detection method based on sliding window Gaussian mixture model
Zhou, Jian-Ying
Wu, Xiao-Pei
Zhang, Chao
Lü, Zhao
[J]. Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology, 2013, 35 (07): : 1650 - 1656
[48] Multipath mitigation method based on Gaussian mixture model in RF relative measurement
Weiqing MU
Rongke LIU
Zijie WANG
Xinxin YANG
[J]. Chinese Journal of Aeronautics., 2018, 31 (12) - 2279
[49] A Gaussian copula regression model for movie box-office revenues prediction
Duan, Junwen
Ding, Xiao
Liu, Ting
[J]. SCIENCE CHINA-INFORMATION SCIENCES, 2017, 60 (09)
[50] A Gaussian copula regression model for movie box-office revenues prediction
Junwen DUAN
Xiao DING
Ting LIU
[J]. Science China(Information Sciences), 2017, 60 (09) : 36 - 49

← 1 2 3 4 5 →