| Presentation | 2015-06-23 Discovering Temporal Dynamics of Consumer's Purchase Decisions based on Hierarchical Time-Rescaling Model Hideaki Kim, Noriko Takaya, Hiroshi Sawada, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | With the explosive growth of information technology, industrial practitioners now have the potential to communicate with their customers wherever and whenever they want. This situation puts strong pressure on the practitioners to find the right time to communicate with each of their customers. In this paper, by employing the novel idea of hierarchical time rescaling, we construct a tractable but highly flexible model for estimating consumers' purchase probability in a continuous-time setting. We analyze real-world transaction data, and show that our model precisely tracks the temporal dynamics of purchase probability at the level of individuals. It enables us to take well-timed marketing actions such as advertising and recommendations, leading to the construction of a profitable relationship with each customer. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Point process / Time-rescaling theorem / Self-excitation / Consumer behavior |
| Paper # | IBISML2015-2 |
| 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) | Discovering Temporal Dynamics of Consumer's Purchase Decisions based on Hierarchical Time-Rescaling Model |
| Sub Title (in English) | |
| Keyword(1) | Point process |
| Keyword(2) | Time-rescaling theorem |
| Keyword(3) | Self-excitation |
| Keyword(4) | Consumer behavior |
| 1st Author's Name | Hideaki Kim |
| 1st Author's Affiliation | Nippon Telegraph and Telephone Corporation(NTT) |
| 2nd Author's Name | Noriko Takaya |
| 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 # | IBISML2015-2 |
| Volume (vol) | vol.115 |
| Number (no) | IBISML-112 |
| Page | pp.pp.9-14(IBISML), |
| #Pages | 6 |
| Date of Issue | 2015-06-16 (IBISML) |