MOVIE RECOMMENDATION WITH K-MEANS CLUSTERING AND SELF-ORGANIZING MAP METHODS

被引：0

作者：

Seo, Eugene ^{[1
]}

Choi, Ho-Jin ^{[1
]}

机构：

[1] Korea Adv Inst Sci & Techonol, Dept Comp Sci, 119 Munjro, Yuseong 305732, Daejeon, South Korea

来源：

ICAART 2010: PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON AGENTS AND ARTIFICIAL INTELLIGENCE, VOL 1: ARTIFICIAL INTELLIGENCE | 2010年

关键词：

Recommendation system; Machine learning; K-means clustering; Self-organisation map;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Recommendation System has been developed to offer users a personalized service. We apply K-means and Self-Organizing Map (SOM) methods for the recommendation system. We explain each method in movie recommendation, and compare their performance in the sense of prediction accuracy and learning time. Our experimental results with given Netflix movie datasets demonstrates how SOM performs better than K-means to give precise prediction of movie recommendation with discussion, but it needs to be solved for the overall time of computation.

引用

页码：385 / 390

页数：6

共 50 条

[1] Clustering gene expression data using self-organizing maps and k-means clustering
Yano, N
Kotani, A
SICE 2003 ANNUAL CONFERENCE, VOLS 1-3, 2003, : 3211 - 3215
[2] A Study on Self-Organizing Maps and K-Means Clustering on a Music Genre Dataset
Azcarraga, A.
Flores, F. K.
THEORY AND PRACTICE OF COMPUTATION, 2018, : 219 - 234
[3] Application of Self-Organizing Feature Map Neural Network Based on K-means Clustering in Network Intrusion Detection
Tan, Ling
Li, Chong
Xia, Jingming
Cao, Jun
CMC-COMPUTERS MATERIALS & CONTINUA, 2019, 61 (01): : 275 - 288
[4] Classification of Indian power coals using K-means clustering and Self Organizing Map neural network
Pandit, Yogesh P.
Badhe, Yogesh P.
Sharma, B. K.
Tambe, Sanjeev S.
Kulkarni, Bhaskar D.
FUEL, 2011, 90 (01) : 339 - 347
[5] Weight Based Movie Recommendation System Using K-Means Algorithm
Himel, Md Tayeb
Uddin, Mohammed Nazim
Hossian, Mohammad Arif
Jang, Yeong Min
2017 INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATION TECHNOLOGY CONVERGENCE (ICTC), 2017, : 1302 - 1306
[6] Implementation K-Means Clustering Method in Job Recommendation System
Puspasari, Betty Dewi
Damayanti, Lany Lukita
Pramono, Andy
Darmawan, Aang Kisnu
2021 7TH INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS AND INFORMATION ENGINEERING (ICEEIE 2021), 2021, : 531 - +
[7] A Ranking Learning Model by K-Means Clustering Technique for Web Scraped Movie Data
Sarker, Kamal Uddin
Saqib, Mohammed
Hasan, Raza
Mahmood, Salman
Hussain, Saqib
Abbas, Ali
Deraman, Aziz
COMPUTERS, 2022, 11 (11)
[8] Hydrogeochemical spatialization and controls of the Serra Geral Aquifer System in southern Brazil: A regional approach by self-organizing maps and k-means clustering
Rossi Santos, Matheus
Roisenberg, Ari
Iwashita, Fabio
Roisenberg, Mauro
JOURNAL OF HYDROLOGY, 2020, 591
[9] ART Neural Network Based Clustering Method Produces Best Quality Clusters of Fingerprints in Comparison to Self Organizing Map and K-Means Clustering Algorithms
Gour, Bhupesh
Bandopadhyaya, T. K.
Sharma, Sudhir
IIT: 2008 INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION TECHNOLOGY, 2008, : 96 - +
[10] Geo-based recommendation system utilising geo tagging and K-means clustering
Amar Shukla
Tanupriya Choudhury
Nehit Benara
Piyush Garg
Aditya Tiwari
Jung-Sup Um
Spatial Information Research, 2023, 31 : 253 - 263

← 1 2 3 4 5 →