A Method of Improving Feature Vector for Web Pages Reflecting the Contents of Their Out-Linked Pages

  • Authors:
  • Kazunari Sugiyama;Kenji Hatano;Masatoshi Yoshikawa;Shunsuke Uemura

  • Affiliations:
  • -;-;-;-

  • Venue:
  • DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
  • Year:
  • 2002

Quantified Score

Hi-index 0.00

Visualization

Abstract

TF-IDF schemes are popular for generating the feature vectors of documents. These schemes are proposed for characterizing one document. Therefore, in order to characterize Web pages using tf-idf schemes, the feature vectors of the Web pages should be reflected by the contents of Web pages linked with other pages via hyperlinks. In this paper, we propose three methods of generating feature vectors for linked documents such as Web pages. Moreover, in order to verify the effectiveness of our proposed methods, we compare our methods with current search engines and confirm their retrieval accuracy using recall precision curves.