自動リコメンデーション(<特集>データ・テキストマイニング)

• 中村 篤祥

  北海道大学大学院工学研究科

書誌事項

タイトル別名

• Automatic Recommendation(<Special Topic>Data/Text Mining)

抄録

We explain automatic recommendation techniques by which computer systems can automatically select goods or documents preferred by each user based on his/her buying or accessing history. Especially, we focus on the collaborative filtering method using weighted majority prediction algorithm developed by the authors. From both theoretical and experimental points of view, we explain how excellent the method is compared to the method using correlation coefficient, which is the most popular collaborative filtering method. We also address issues that we should consider in order to make our method practically useful.

収録刊行物

• 応用数理

  応用数理 12 (4), 401-410, 2002

  一般社団法人 日本応用数理学会

詳細情報

• CRID: 1390282680741881344
• NII論文ID: 110007391003
• DOI: 10.11540/bjsiam.12.4_401
• ISSN: 24321982
• 本文言語コード: ja
• データソース種別:
  • JaLC
  • CiNii Articles
• 抄録ライセンスフラグ: 使用不可