書誌事項
- タイトル別名
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- Improvement of Information Filtering by Independent Components Selection
- ドクリツ セイブン ノ センタク ニ ヨル ジョウホウ スイセン ノ カイリョウ
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抄録
We propose an improvement of an information filtering system with independent components selection. The independent components are obtained by Independent Component Analysis and considered as topics. It is effective for improving accuracy of information filtering to select some similar topics by focusing on these meaning. To achieve this, we select the topics by Maximum Distance Algorithm with Jensen-Shannon divergence. In addition, document vectors are represented by the selected topics. We create a user profile from transformed data with a relevance feedback. Finally, we recommend documents by the user profile and evaluate the accuracy by imputation precision. We carry out an evaluation experiment to confirm availability of the proposed method and also consider the meaning of components in this experiment.
収録刊行物
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- 電気学会論文誌Ｃ（電子・情報・システム部門誌）
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電気学会論文誌Ｃ（電子・情報・システム部門誌） 126 (4), 492-497, 2006
一般社団法人 電気学会
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詳細情報 詳細情報について
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- CRID
- 1390282679582224000
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- NII論文ID
- 10017539381
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- NII書誌ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL書誌ID
- 7911601
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- 抄録ライセンスフラグ
- 使用不可