IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2014-03-07 14:45
Estimation of Item Preference Parameter with User Review Data
Shunichi Mochizuki, Yu Fujimoto, Noboru Murata (Waseda Univ.) IBISML2013-79
Abstract (in Japanese) (See Japanese page) 
(in English) There are services that recommend items such as shops or products to users based on scores or ratings that other users have given to those items.
Application of the Bradley-Terry(BT) model is widely considered as a way to achieve the statistical representation of items based on ratings that
users have given to items. The BT model evaluates the true preference parameters of items through the statistical representation. In this paper, a
divide and conquer optimization algorithm that enables estimating preference parameters in a feasible computational time when the number of items
scales up to the order of ten-thousands is proposed. A number of experimental studies using both synthetic and real datasets are provided to demonstrate
the effectiveness of this method.
Keyword (in Japanese) (See Japanese page) 
(in English) Bradley-Terry model / em algorithm / ranking model / / / / /  
Reference Info. IEICE Tech. Rep., vol. 113, no. 476, IBISML2013-79, pp. 89-94, March 2014.
Paper # IBISML2013-79 
Date of Issue 2014-02-27 (IBISML) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
and
reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF IBISML2013-79

Conference Information
Committee IBISML  
Conference Date 2014-03-06 - 2014-03-07 
Place (in Japanese) (See Japanese page) 
Place (in English) Nara Women's University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Statistical mathmatics, machine learning, data mining, and other topics 
Paper Information
Registration To IBISML 
Conference Code 2014-03-IBISML 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Estimation of Item Preference Parameter with User Review Data 
Sub Title (in English)  
Keyword(1) Bradley-Terry model  
Keyword(2) em algorithm  
Keyword(3) ranking model  
Keyword(4)  
Keyword(5)  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Shunichi Mochizuki  
1st Author's Affiliation Waseda University (Waseda Univ.)
2nd Author's Name Yu Fujimoto  
2nd Author's Affiliation Waseda University (Waseda Univ.)
3rd Author's Name Noboru Murata  
3rd Author's Affiliation Waseda University (Waseda Univ.)
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2014-03-07 14:45:00 
Presentation Time 25 minutes 
Registration for IBISML 
Paper # IBISML2013-79 
Volume (vol) vol.113 
Number (no) no.476 
Page pp.89-94 
#Pages
Date of Issue 2014-02-27 (IBISML) 


[Return to Top Page]

[Return to IEICE Web Page]


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan