| Presentation | 2010-11-19 A Recommender Engine using Random Forest : An algorithm and its performance Tsunenori ISHIOKA, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | A recommender system contest was conducted last year sponsored by the Operational Research Society of Japan, Japanese Society for Artificial Intelligence and other societies. The participants are expected to anticipate the secret favorite movies of 48 anonymous users in a private video site. Based on thorough individualized modeling for users, we use Random forest by the rule discovery approach, which compare the other top prize two methods for their performance. The features of this case study are reported. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | ensemble learning / recommender engine / personalization |
| Paper # | AI2010-36 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 2010/11/12(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | A Recommender Engine using Random Forest : An algorithm and its performance |
| Sub Title (in English) | |
| Keyword(1) | ensemble learning |
| Keyword(2) | recommender engine |
| Keyword(3) | personalization |
| 1st Author's Name | Tsunenori ISHIOKA |
| 1st Author's Affiliation | Research Division, The National Center for University Entrance Examinations() |
| Date | 2010-11-19 |
| Paper # | AI2010-36 |
| Volume (vol) | vol.110 |
| Number (no) | 301 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |