Analysis and evaluation of recommendation systems

Emiko Orimo, Hideki Koike, Toshiyuki Masui, Akikazu Takeuchi

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

Popular online services, such as Amazon.com, provide recommendations for users by using other users' rating scores for items. In this study, we describe three types of rating systems: score-rated, count-rated, and digital-rated. We hypothesize that digital-rated systems provide the most useful recommendations. Then we analyze the differences in the results of the rating when the granularity of the score changes. Finally, we visualize users by developing a 2-D visualization system that uses a multi-dimensional scaling method.

本文言語English
ホスト出版物のタイトルHuman Interface and the Management of Information
ホスト出版物のサブタイトルMethods, Techniques and Tools in Information Design - Symposium on Human Interface 2007. Held as Part of HCI International 2007, Proceedings
出版社Springer Verlag
ページ144-152
ページ数9
PART 1
ISBN(印刷版)9783540733447
DOI
出版ステータスPublished - 2007
外部発表はい
イベントSymposium on Human Interface 2007 - Beijing, China
継続期間: 2007 7月 222007 7月 27

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
番号PART 1
4557 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

OtherSymposium on Human Interface 2007
国/地域China
CityBeijing
Period07/7/2207/7/27

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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