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Paper Abstract and Keywords
Presentation 2009-01-20 15:30
Model Adaptation in Preference Modeling
Hideki Asoh, Yoichi Motomura (National Inst. of Adv Ind Scie and Tech.), Chihiro Ono (KDDI R&D Lab,Inc.) NC2008-100
Abstract (in Japanese) (See Japanese page) 
(in English) Modeling users' preference becomes important for providing personalized services. In order to construct context-aware statistical models of preference, large scale training data is needed. However there are several difficulties in the data collection process such as the cost of collecting data is expensive, random experimental design is difficult and only biased samples are available. In the area of observation study and statistical learning, the domain adaptation becomes a key issue which can be applicable to the problem caused by sample selection bias and the insufficient training data. In this report, we will give a survey of the domain adaptation technologies which are developed in various areas, clarify the common structure in the techniques, and discuss the applicability to the preference modeling. At the same time, some techniques in the preference modeling such as collaborative filtering are discussed from the viewpoint of the domain adaptation.
Keyword (in Japanese) (See Japanese page) 
(in English) Preference Modeling / Domain Adaptation / Model Adaptation / Personalization / Recommender Systems / / /  
Reference Info. IEICE Tech. Rep., vol. 108, no. 383, NC2008-100, pp. 101-106, Jan. 2009.
Paper # NC2008-100 
Date of Issue 2009-01-12 (NC) 
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 NC2008-100

Conference Information
Committee NC  
Conference Date 2009-01-19 - 2009-01-20 
Place (in Japanese) (See Japanese page) 
Place (in English) Hokkaido Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Neural Dynamics, etc. 
Paper Information
Registration To NC 
Conference Code 2009-01-NC 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Model Adaptation in Preference Modeling 
Sub Title (in English)  
Keyword(1) Preference Modeling  
Keyword(2) Domain Adaptation  
Keyword(3) Model Adaptation  
Keyword(4) Personalization  
Keyword(5) Recommender Systems  
Keyword(6)  
Keyword(7)  
Keyword(8)  
1st Author's Name Hideki Asoh  
1st Author's Affiliation National Institute of Advanced Industrial Science and Technology (National Inst. of Adv Ind Scie and Tech.)
2nd Author's Name Yoichi Motomura  
2nd Author's Affiliation National Institute of Advanced Industrial Science and Technology (National Inst. of Adv Ind Scie and Tech.)
3rd Author's Name Chihiro Ono  
3rd Author's Affiliation KDDI Laboratory (KDDI R&D Lab,Inc.)
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Speaker Author-1 
Date Time 2009-01-20 15:30:00 
Presentation Time 25 minutes 
Registration for NC 
Paper # NC2008-100 
Volume (vol) vol.108 
Number (no) no.383 
Page pp.101-106 
#Pages 6 
Date of Issue 2009-01-12 (NC) 

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