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Paper Abstract and Keywords
Presentation 2007-05-31 11:10
Collaborative Filtering using Purchase Sequences
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda (NTT) AI2007-3
Abstract (in Japanese) (See Japanese page) 
(in English) We propose a collaborative filtering method that uses sequential information in purchase histories for recommendations. Markov models and maximum entropy models have been used for collaborative filtering problems that is the prediction of the next purchase item using the purchase history as input. In Markov models, their parameters can be estimated and updated fast, however their predictive accuracy is low. On the other hand, the accuracy of maximum entropy models is high, however high computational cost is required for their parameter estimation. We achieves the fast parameter estimation and high accuracy by combining multiple simple Markov models based on the maximum entropy principle. We show the validity of our method using real log data sets of music, movie and cartoon distribution services.
Keyword (in Japanese) (See Japanese page) 
(in English) recommendation / sequential data / maximum entropy model / user model / / / /  
Reference Info. IEICE Tech. Rep., vol. 107, no. 78, AI2007-3, pp. 13-18, May 2007.
Paper # AI2007-3 
Date of Issue 2007-05-24 (AI) 
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. (No. 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF AI2007-3

Conference Information
Committee AI  
Conference Date 2007-05-31 - 2007-05-31 
Place (in Japanese) (See Japanese page) 
Place (in English) Kikai-Shinko-Kaikan Bldg. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To AI 
Conference Code 2007-05-AI 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Collaborative Filtering using Purchase Sequences 
Sub Title (in English)  
Keyword(1) recommendation  
Keyword(2) sequential data  
Keyword(3) maximum entropy model  
Keyword(4) user model  
1st Author's Name Tomoharu Iwata  
1st Author's Affiliation NTT (NTT)
2nd Author's Name Takeshi Yamada  
2nd Author's Affiliation NTT (NTT)
3rd Author's Name Naonori Ueda  
3rd Author's Affiliation NTT (NTT)
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Date Time 2007-05-31 11:10:00 
Presentation Time 25 
Registration for AI 
Paper # IEICE-AI2007-3 
Volume (vol) IEICE-107 
Number (no) no.78 
Page pp.13-18 
#Pages IEICE-6 
Date of Issue IEICE-AI-2007-05-24 

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