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] Asymmetric k-means Clustering of the Asymmetric Self-Organizing Map
Olszewski, Dominik
Kacprzyk, Janusz
Zadrainy, Slawomir
[J]. ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING, ICAISC 2014, PT II, 2014, 8468 : 772 - 783
[2] Combination of Self-organizing Map and k-means Methods of Clustering for Online Games Marketing
Yu, Shaoyong
Yang, Mei
Wei, LinHai
Hu, Jian-Shiun
Tseng, Hsien-Wei
Meen, Teen-Hang
[J]. SENSORS AND MATERIALS, 2020, 32 (08) : 2697 - 2707
[3] Detection of Diabetic Retinopathy Using K-Means Clustering and Self-Organizing Map
Yun, Wong Li
Mookiah, Muthu Rama Krishnan
[J]. JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2013, 3 (04) : 575 - 581
[4] Comparison of self-organizing map with K-means hierarchical clustering for bioinformatics applications
Shahapurkar, SS
Sundareshan, MK
[J]. 2004 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-4, PROCEEDINGS, 2004, : 1221 - 1226
[5] Self-organizing maps as substitutes for k-means clustering
Baçao, F
Lobo, V
Painho, M
[J]. COMPUTATIONAL SCIENCE - ICCS 2005, PT 3, 2005, 3516 : 476 - 483
[6] Combining Self-Organizing Map and K-Means Clustering for Detecting Fraudulent Financial Statements
Deng, Qingshan
Mei, Guoping
[J]. 2009 IEEE INTERNATIONAL CONFERENCE ON GRANULAR COMPUTING ( GRC 2009), 2009, : 126 - 131
[7] Combining the Self-Organizing Map and k-means clustering for on-line classification of sensor data
Van Laerhoven, K
[J]. ARTIFICIAL NEURAL NETWORKS-ICANN 2001, PROCEEDINGS, 2001, 2130 : 464 - 469
[8] Clustering gene expression data using self-organizing maps and k-means clustering
Yano, N
Kotani, A
[J]. SICE 2003 ANNUAL CONFERENCE, VOLS 1-3, 2003, : 3211 - 3215
[9] A self-organizing k-means classification algorithm
Mamlook, R
Thompson, WE
[J]. SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION V, 1996, 2755 : 565 - 570
[10] Integration of self-organizing feature map and K-means algorithm for market segmentation
Kuo, RJ
Ho, LM
Hu, CM
[J]. COMPUTERS & OPERATIONS RESEARCH, 2002, 29 (11) : 1475 - 1493

← 1 2 3 4 5 →