潜在的意味を用いた情報フィルタリング Information Filtering Using Latent Semantics

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著者

    • 横井 健 YOKOI Takeru
    • 大阪府立大学工学部知能情報工学科 Osaka Prefecture University Engineer Department Computer Science and Inteligent Systems
    • 大松 繁 OMATU Sigeru
    • 大阪府立大学工学部知能情報工学科 Osaka Prefecture University Engineer Department Computer Science and Inteligent Systems

抄録

We propose an information filtering system using latent semantics obtained by the Singular Value Decomposition(SVD) and the Independent Component Analysis(ICA). Document vectors usually have too many elements. So we are obliged to spend much time to apply the ICA for the document vectors. To solve this problem, the present method combines the SVD which is often used for decreasing dimension and the ICA. Before applying the ICA, we represent documents with singular vectors obtained by the SVD. We measure processing times to carry out the ICA without the SVD and the proposed method for comparison of these methods. In addition, we construct a user profile in space consisted of latent semantics obtained by the present method, and discuss accuracy of recommendation.

収録刊行物

  • 電気学会論文誌. C, 電子・情報・システム部門誌 = The transactions of the Institute of Electrical Engineers of Japan. C, A publication of Electronics, Information and System Society  

    電気学会論文誌. C, 電子・情報・システム部門誌 = The transactions of the Institute of Electrical Engineers of Japan. C, A publication of Electronics, Information and System Society 126(7), 865-870, 2006-07-01 

    The Institute of Electrical Engineers of Japan

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各種コード

  • NII論文ID(NAID)
    10018146492
  • NII書誌ID(NCID)
    AN10065950
  • 本文言語コード
    JPN
  • 資料種別
    ART
  • ISSN
    03854221
  • NDL 記事登録ID
    8022530
  • NDL 雑誌分類
    ZN31(科学技術--電気工学・電気機械工業)
  • NDL 請求記号
    Z16-795
  • データ提供元
    CJP書誌  NDL  J-STAGE 
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