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Paper Abstract and Keywords
Presentation 2012-03-08 13:10
Purchase estimation by analyzing actual customer's behavior in a retail shop
Koya Sugimoto, Masayuki Kanbara (Naist), Tetsushi Ikeda, Koji Kamei, Kazuhiko Shinozawa (ATR), Norihiro Hagita (ATR/Naist) LOIS2011-81
Abstract (in Japanese) (See Japanese page) 
(in English) This paper describes purchase estimation method by analyzing actual customer's behavior in a retail shop.Recently,item reecommendation service has been applied to e-commerce web sites which input profile of customer interest to generate a list of recommended items.To realize the recommendation service in a real shop,it is critical issue to make a profile of customer's interest in the shop.Since previous work estimates a customer's interests profile from stop point history of the customer,
the profile can not precisely represent degree of interests.This paper proposes a novel profiling technique for customer's intrests to represent a degree of interset.we propose the method that recognize using supervised learning as input physical features of trajectory and purchase/not purchase behavior label was obtained manually to look at the video in the store.We measures the trajectories of actual shoppers in a store for the experiment and show behavior estimation results by applying the proposed method.
Keyword (in Japanese) (See Japanese page) 
(in English) item recommendation / trajectory / interest estimation / human behavior recognition / / / /  
Reference Info. IEICE Tech. Rep., vol. 111, no. 470, LOIS2011-81, pp. 49-54, March 2012.
Paper # LOIS2011-81 
Date of Issue 2012-03-01 (LOIS) 
ISSN Print edition: ISSN 0913-5685  Online edition: ISSN 2432-6380
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)
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Conference Information
Committee LOIS  
Conference Date 2012-03-08 - 2012-03-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Meio Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Practical Use of Lifelog, Office Information System, LifeInteligence, etc. 
Paper Information
Registration To LOIS 
Conference Code 2012-03-LOIS 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Purchase estimation by analyzing actual customer's behavior in a retail shop 
Sub Title (in English)  
Keyword(1) item recommendation  
Keyword(2) trajectory  
Keyword(3) interest estimation  
Keyword(4) human behavior recognition  
1st Author's Name Koya Sugimoto  
1st Author's Affiliation e And Technology (Naist)
2nd Author's Name Masayuki Kanbara  
2nd Author's Affiliation e And Technology (Naist)
3rd Author's Name Tetsushi Ikeda  
3rd Author's Affiliation ATR Intelligent Robotics Laboratories (ATR)
4th Author's Name Koji Kamei  
4th Author's Affiliation ATR Intelligent Robotics Laboratories (ATR)
5th Author's Name Kazuhiko Shinozawa  
5th Author's Affiliation ATR Intelligent Robotics Laboratories (ATR)
6th Author's Name Norihiro Hagita  
6th Author's Affiliation ATR Intelligent Robotics Laboratories/e And Technology (ATR/Naist)
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Date Time 2012-03-08 13:10:00 
Presentation Time 20 
Registration for LOIS 
Paper # IEICE-LOIS2011-81 
Volume (vol) IEICE-111 
Number (no) no.470 
Page pp.49-54 
#Pages IEICE-6 
Date of Issue IEICE-LOIS-2012-03-01 

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