| Presentation | 2015-06-23 A Study on Non-negative Matrix Factorization for Integrated Analysis of Visiting and Rating Information Masahiro Kohjima, Tatsushi Matsubayashi, Hiroshi Sawada, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | As the number of projects on data collection and analysis increases in many business fields, it is required that the method which can deal with various type of information such as browsing, check-in and rating collected through company's web-page, smart-phone app and so on. In this paper, we extend collective matrix factorization method in order to analyze multiple matrices whose element of each matrix follows Normal distribution and Poisson distribution, respectively. Using artificial dataset, experiment shows that proposed method improves mean squared error performance and provides the clustering result which reflects the relation between the user's viewing and evaluation activity. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Non-negative Matrix Factorization / Collective Matrix Factorization / Euclid Distance / Generalized Kullback Leibler Divergence / Auxiliary Function Method |
| Paper # | IBISML2015-4 |
| Date of Issue | 2015-06-16 (IBISML) |
| Conference Information | |
| Committee | NC / IPSJ-BIO / IBISML / IPSJ-MPS |
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| Conference Date | 2015/6/23(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Institute of Science and Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning Approach to Biodata Mining, and General |
| Chair | Toshimichi Saito(Hosei Univ.) / Masakazu Sekijima(東工大) / Takashi Washio(Osaka Univ.) / Hayaru Shouno(電通大) |
| Vice Chair | Shigeo Sato(Tohoku Univ.) / / Kenji Fukumizu(ISM) / Masashi Sugiyama(Tokyo Inst. of Tech.) |
| Secretary | Shigeo Sato(Kyushu Inst. of Tech.) / (Kyoto Sangyo Univ.) / Kenji Fukumizu(京大) / Masashi Sugiyama(お茶の水女子大) / (OIST) |
| Assistant | Hiroyuki Kanbara(Tokyo Inst. of Tech.) / Hisanao Akima(Tohoku Univ.) / / Koji Tsuda(Univ. of Tokyo) / Hisashi Kashima(Kyoto Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Neurocomputing / Special Interest Group on Bioinformatics and Genomics / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / Special Interest Group on Mathematical Modeling and Problem Solving |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Study on Non-negative Matrix Factorization for Integrated Analysis of Visiting and Rating Information |
| Sub Title (in English) | |
| Keyword(1) | Non-negative Matrix Factorization |
| Keyword(2) | Collective Matrix Factorization |
| Keyword(3) | Euclid Distance |
| Keyword(4) | Generalized Kullback Leibler Divergence |
| Keyword(5) | Auxiliary Function Method |
| 1st Author's Name | Masahiro Kohjima |
| 1st Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 2nd Author's Name | Tatsushi Matsubayashi |
| 2nd Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 3rd Author's Name | Hiroshi Sawada |
| 3rd Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| Date | 2015-06-23 |
| Paper # | IBISML2015-4 |
| Volume (vol) | vol.115 |
| Number (no) | IBISML-112 |
| Page | pp.pp.21-26(IBISML), |
| #Pages | 6 |
| Date of Issue | 2015-06-16 (IBISML) |