Presentation | 2002/7/12 The performance of subject estimation and discrimination methods for educational Web resources Minoru NAKAYAMA, Yasutaka SHIMIZU, |
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PDF Download Page | PDF download Page Link |
Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The purpose of this study is to compare performance among developed subject discrimination methods for educational Web resources. Three methods are vector space model (VSM) using degree of cosine similarity, vector distance on the self-organizing map (SOM) and three layer percptron (MLP). The 403 teaching schemes were prepared as the test documents for the subject discrimination. The recall rate using MLP is the highest for most subjects. The highest precision rate among the methods depend on subject. As a result, F1 measure as total performance index of most subjects are the highest for the method using MLP. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | educational information / web resources / document discrimination performance / SOM / MLP |
Paper # | ET2002-25 |
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Conference Information | |
Committee | ET |
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Conference Date | 2002/7/12(1days) |
Place (in Japanese) | (See Japanese page) |
Place (in English) | |
Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Educational Technology (ET) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | The performance of subject estimation and discrimination methods for educational Web resources |
Sub Title (in English) | |
Keyword(1) | educational information |
Keyword(2) | web resources |
Keyword(3) | document discrimination performance |
Keyword(4) | SOM |
Keyword(5) | MLP |
1st Author's Name | Minoru NAKAYAMA |
1st Author's Affiliation | CRADLE, Tokyo Institute of Technology() |
2nd Author's Name | Yasutaka SHIMIZU |
2nd Author's Affiliation | Educational Resource Center, National Institute of Educational Policy Research |
Date | 2002/7/12 |
Paper # | ET2002-25 |
Volume (vol) | vol.102 |
Number (no) | 222 |
Page | pp.pp.- |
#Pages | 6 |
Date of Issue |