Applying association rules to information navigation

نویسندگان

  • Satoshi Oyama
  • Toru Ishida
چکیده

あらまし 本稿では,モバイル環境におけるWEB情報の活用に適した新しいインタフェースとして,情報ナ ビゲーションエージェントを提案する.これまでの情報検索システムは,検索結果のユーザへの表示とそれに基 づくクエリの変更を通して多くの情報をいかに絞り込んでいくかが中心的課題であり,デスクトップ環境での利 用に適した方法であった.それに対して我々のエージェントは,検索対象の属性の制約条件を用いて近似解を生 成し,ユーザとの対話を通して情報を得ることにより,漸近的によりよい情報へとナビゲートしていくことがで きる.その際に,エージェントがキーワード間の連想ルールを用いて検索条件の解決と新たな検索条件の追加を 行う手法を提案した.また,連想ルールを不用意に用いるとナビゲーションの失敗を導くため,統計的検定とグ ラフ構造の解析を用いた連想ルールの精錬を行うことを提案し,その有効性を確認した. キーワード エージェント 情報ナビゲーション 情報検索 連想ルール デジタルシティ

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عنوان ژورنال:
  • Systems and Computers in Japan

دوره 34  شماره 

صفحات  -

تاریخ انتشار 2003