| Presentation | 2005-06-23 Software Technology Recommendation Based on Collaborative Filtering Tomohiro AKINAGA, Naoki OHSUGI, Takeshi KAKIMOTO, Masateru TSUNODA, Akito MONDEN, Kenichi MATSUMOTO, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, much software development technology is proposed. It is difficult for the software engineer to be master of all these technologies. So it is necessary to select the technology that should acquire it beforehand. Then, we propose a system recommending the software exploitation technology that seems to be useful for engineer by using Collaborative Filtering. In the proposal method, first of all, the interest to each development technology is first investigated to each engineer. And, the engineer to whom the tendency to the interest is similar is discovered based on cooperated filtering. "A similar engineer is doing a high evaluation" and "technology that user doesn't know" so recommends it as useful skills. Four standards (an absolute error, precision, recall, F1 value) estimated the proposal method. As a result, it was better than the accuracy of the proposal technique recommended a simple mean value (absolute error is 0.1, and F1 value is 0.09). |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Recommendation Algorithm / Item-based Collaborative Filtering / User-based Collaborative Filtering / Engineer / Development Technology / Absolute Error / F1 Value |
| Paper # | SS2005-13 |
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| Conference Information | |
| Committee | SS |
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| Conference Date | 2005/6/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Software Science (SS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Software Technology Recommendation Based on Collaborative Filtering |
| Sub Title (in English) | |
| Keyword(1) | Recommendation Algorithm |
| Keyword(2) | Item-based Collaborative Filtering |
| Keyword(3) | User-based Collaborative Filtering |
| Keyword(4) | Engineer |
| Keyword(5) | Development Technology |
| Keyword(6) | Absolute Error |
| Keyword(7) | F1 Value |
| 1st Author's Name | Tomohiro AKINAGA |
| 1st Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology() |
| 2nd Author's Name | Naoki OHSUGI |
| 2nd Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology |
| 3rd Author's Name | Takeshi KAKIMOTO |
| 3rd Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology |
| 4th Author's Name | Masateru TSUNODA |
| 4th Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology |
| 5th Author's Name | Akito MONDEN |
| 5th Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology |
| 6th Author's Name | Kenichi MATSUMOTO |
| 6th Author's Affiliation | Graduate School of Information Science, Nara Institute of Science and Technology |
| Date | 2005-06-23 |
| Paper # | SS2005-13 |
| Volume (vol) | vol.105 |
| Number (no) | 128 |
| Page | pp.pp.- |
| #Pages | 7 |
| Date of Issue | |