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Improving a News Recommendation System in Adapting to Interests of a User with Storage of a Constant Size
http://hdl.handle.net/2298/18057
http://hdl.handle.net/2298/18057c7821507-4cb0-4449-b2f4-7030d27333a7
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
APWEB(IEEE)2010_12th_109-115.pdf (435.8 kB)
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| Item type | 会議発表論文 / Conference Paper(1) | |||||
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| 公開日 | 2011-02-22 | |||||
| タイトル | ||||||
| タイトル | Improving a News Recommendation System in Adapting to Interests of a User with Storage of a Constant Size | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| キーワード | ||||||
| 主題 | news filtering, news recommendation, personalization | |||||
| 資源タイプ | ||||||
| 資源タイプ | conference paper | |||||
| 著者 |
西垂水, 彬人
× 西垂水, 彬人× 糸川, 剛× 北須賀, 輝明× 有次, 正義 |
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| 別言語の著者 |
Nishitarumizu, Akito
× Nishitarumizu, Akito× 糸川, 剛× Kitasuka, Teruaki× Aritsugi, Masayoshi |
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| 内容記述 | ||||||
| 内容記述 | It is desired to have a system that can recommend news articles according to interests of a user, which would change with time. In this paper, we attempt to improve a news recommendation system with supervised classification by integrating a clustering method into the system in order to adapt flexibly to the variety of interests of a user. To follow the changes of interests with time, we need to make not only the classifier but also the clustering module of the system be easily updatable. We construct clusters in the feature space from combining one-dimensional clusters to make the size of storage to hold for updating clusters be constant. We let the data distribution in each one-dimensional space be influenced by the clustering results from another one-dimensional space, thereby taking into account of data distribution in the original multiple dimensional space. Main contribution of this paper is to propose a method that can achieve both of the two goals: to improve the performance of a news recommendation system and to make the amount of data to hold for updating clusters be constant. Some experimental results are shown and the effective and weak points of our proposal are discussed. |
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| 書誌情報 |
Advances in Web Technologies and Applications - Proceedings of the 12th Asia-Pacific Web Conference, APWeb 2010 p. 109-115, 発行日 2010-04-04 |
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| DOI | ||||||
| 関連タイプ | isVersionOf | |||||
| 関連識別子 | 10.1109/APWeb.2010.66 | |||||
| 権利 | ||||||
| 権利情報 | ©2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. | |||||
| フォーマット | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | application/pdf | |||||
| 形態 | ||||||
| 435771 bytes | ||||||
| 著者版フラグ | ||||||
| 出版タイプ | AM | |||||
| 日本十進分類法 | ||||||
| 主題Scheme | NDC | |||||
| 主題 | 548 | |||||
| 出版者 | ||||||
| 出版者 | IEEE | |||||
| 資源タイプ | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | 論文(Article) | |||||
| 資源タイプ・ローカル | ||||||
| 会議発表論文 | ||||||
| 資源タイプ・NII | ||||||
| Conference Paper | ||||||
| 資源タイプ・DCMI | ||||||
| text | ||||||
| 資源タイプ・ローカル表示コード | ||||||
| 05 | ||||||
| URL | ||||||
| 内容記述タイプ | Other | |||||
| 内容記述 | http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=5474146&abstractAccess=no&userType=inst | |||||
