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ナカジマ シンスケ
NAKAJIMA SHINSUKE
中島 伸介 所属 京都産業大学 情報理工学部 情報理工学科 職種 教授 |
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| 言語種別 | 英語 |
| 発行・発表の年月 | 2008 |
| 形態種別 | その他 |
| 標題 | Context-aware ranking method for information recommendation |
| 執筆形態 | その他 |
| 掲載誌名 | Lecture Notes in Electrical Engineering |
| 巻・号・頁 | 4,pp.319-337 |
| 著者・共著者 | Kenta Oku,Shinsuke Nakajima,Jun Miyazaki,Shunsuke Uemura,Hirokazu Kato |
| 概要 | Previously, we proposed two recommendation systems - context-aware information filtering (C-IF) and context-aware collaborative filtering (C-CF) - both of which are context-aware recommendation methods. We have also shown their effectiveness through of experiments using a restaurant recommendation system based on these methods. Furthermore, we need to rank the recommended contents to improve the performance of the C-IF and the C-CF. A ranking method ranks the recommended contents based on content parameters that the user regards as important. However, what parameter is important for the user is according to their contexts. For example, a user likes a reasonable restaurant when he is alone, but on the other hand, he likes an expensive and stylish restaurant when he is with his girlfriend. Therefore, it is important to consider his contexts when ranking recomended contents. In this study, we propose a context-aware ranking method. The system ranks recommended contents within users' contexts.We also evaluate our proposal method from experimental results. © Springer 2008. |
| DOI | 10.1007/978-0-387-74938-9_23 |
| ISSN | 1876-1100 |