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- SAITOU Takashi
- Graduate School of Project Design, Miyagi University
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- TOGASHI Atsushi
- Graduate School of Project Design, Miyagi University, Department of Spatial Design and Information Systems, Miyagi University
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- KAJI Isao
- Department of Spatial Design and Information Systems, Miyagi University
Bibliographic Information
- Other Title
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- ソーシャルブックマークデータを用いた 推薦システムの開発
- ソーシャルブックマークデータ オ モチイタ スイセン システム ノ カイハツ
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Abstract
<p>In recent years, there are increasing attentions to recommendation systems. A recommendation system semi-automatically understands users' tastes and recommends suitable contents for users based on users' profiles. In this paper, we propose a brand new recommendation algorithm based on social bookmarked data. The algorithm is constructed and valuated via tests. The original idea in this paper is to evaluate the contents according their information measure, which is a variant of J-measure. The base set of the system is the set of pairs of keywords, called tags, and users. We attempted to solution of subject of folksonomy studies that polysemy and basic level variation.</p>
Journal
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- JSAI Technical Report, SIG-KBS
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JSAI Technical Report, SIG-KBS 87 (0), 04-, 2010-01-20
The Japanese Society for Artificial Intelligence
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Keywords
Details 詳細情報について
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- CRID
- 1390007216692806144
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- NII Article ID
- 40016968647
- 130008064892
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- NII Book ID
- AN10231834
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- ISSN
- 24364592
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- NDL BIB ID
- 10561141
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Allowed