Non-negative Multiple Matrix Factorization for Consumer Behavior Pattern Extraction by Considering Attribution Information-Reference-Cited by-同舟云学术

Non-negative Multiple Matrix Factorization for Consumer Behavior Pattern Extraction by Considering Attribution Information

Published:2015 Issue:6 Volume:30 Page:745-754
ISSN:1346-0714
Container-title:Transactions of the Japanese Society for Artificial Intelligence
language:en
Short-container-title:Transactions of the Japanese Society for Artificial Intelligence

Author:

Kohjima Masahiro¹,Matsubayashi Tatsushi¹,Sawada Hiroshi¹

Affiliation:

1. NTT Service Evolution Laboratories, NTT Corporation

Publisher

Japanese Society for Artificial Intelligence

Subject

Artificial Intelligence,Software

Link

https://www.jstage.jst.go.jp/article/tjsai/30/6/30_30-6_JWEIN-J/_pdf

Reference14 articles.

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3. [Cemgil 08] A. T. Cemgil: Bayesian inference in non-negative matrix factorisation models, Technical Report CUED/F-INFENG/TR.609, University of Cambridge (2008)

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5. [Ding 08] C. Ding, L. Tao, and P. Wei: On the equivalence between non-negative matrix factorization and probabilistic latent semantic indexing, Computational Statistics & Data Analysis, 52.8, pp. 3913-3927 (2008)

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