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 |
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) |
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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) |
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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) |
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recommendation |
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sequential data |
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maximum entropy model |
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user model |
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1st Author's Name |
Tomoharu Iwata |
1st Author's Affiliation |
NTT (NTT) |
2nd Author's Name |
Takeshi Yamada |
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NTT (NTT) |
3rd Author's Name |
Naonori Ueda |
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NTT (NTT) |
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Speaker |
Author-1 |
Date Time |
2007-05-31 11:10:00 |
Presentation Time |
25 minutes |
Registration for |
AI |
Paper # |
AI2007-3 |
Volume (vol) |
vol.107 |
Number (no) |
no.78 |
Page |
pp.13-18 |
#Pages |
6 |
Date of Issue |
2007-05-24 (AI) |
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