Presentation | 2015-12-18 A Study on Prediction Model of the Number of Applications on Internet Portal Sites for Job Hunting Takuto Notsu, Kenta Mikawa, Masayuki Goto, Tairiku Ogihara, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Recently, the number of companies which are published on internet portal sites has increased in Japan. These portal sites are useful tools not only for large companies but for middle and small companies. It will be great interest to predict the number of applications for companies which are published on these portal sites. In this study, we construct the model which predicts and analyzes the number of applications for each company by using a statistical machine learning model. Furthermore,we verify the effectiveness of the proposed method by using the actual data stored on this site. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Data analysis / Generalized linear mixed model / Hierarchical Bayesian model / Constrained least squares method |
Paper # | AI2015-34 |
Date of Issue | 2015-12-11 (AI) |
Conference Information | |
Committee | AI |
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Conference Date | 2015/12/18(2days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
Topics (in English) | |
Chair | Toshiharu Sugawara(Waseda Univ.) |
Vice Chair | Tsunenori Mine(Kyushu Univ.) / Daisuke Katagami(Tokyo Polytechnic Univ.) |
Secretary | Tsunenori Mine(Kyoto Univ.) / Daisuke Katagami(Shizuoka Univ.) |
Assistant | Yuichi Sei(Univ. of Electro-Comm.) |
Paper Information | |
Registration To | Technical Committee on Artificial Intelligence and Knowledge-Based Processing |
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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 Prediction Model of the Number of Applications on Internet Portal Sites for Job Hunting |
Sub Title (in English) | |
Keyword(1) | Data analysis |
Keyword(2) | Generalized linear mixed model |
Keyword(3) | Hierarchical Bayesian model |
Keyword(4) | Constrained least squares method |
1st Author's Name | Takuto Notsu |
1st Author's Affiliation | Waseda University(Waseda Univ.) |
2nd Author's Name | Kenta Mikawa |
2nd Author's Affiliation | Waseda University(Waseda Univ.) |
3rd Author's Name | Masayuki Goto |
3rd Author's Affiliation | Waseda University(Waseda Univ.) |
4th Author's Name | Tairiku Ogihara |
4th Author's Affiliation | Recruit Career Co., Ltd.(Recruit Career Co., Ltd.) |
Date | 2015-12-18 |
Paper # | AI2015-34 |
Volume (vol) | vol.115 |
Number (no) | AI-381 |
Page | pp.pp.49-54(AI), |
#Pages | 6 |
Date of Issue | 2015-12-11 (AI) |