Document keyphrases as subject metadata: incorporating document key concepts in search results

  • Authors:

  • Yi-Fang Brook Wu;Quanzhi Li

  • Affiliations:

  • Information Systems Department, New Jersey Institute of Technology, Newark, USA 07102;Avaya Labs Research, Avaya, Inc, Basking Ridge, USA 07920

  • Venue:
  • Information Retrieval
  • Year:
  • 2008

Quantified Score

Hi-index 0.01

Visualization

Abstract

Most search engines display some document metadata, such as title, snippet and URL, in conjunction with the returned hits to aid users in determining documents. However, metadata is usually fragmented pieces of information that, even when combined, does not provide an overview of a returned document. In this paper, we propose a mechanism of enriching metadata of the returned results by incorporating automatically extracted document keyphrases with each returned hit. We hypothesize that keyphrases of a document can better represent the major theme in that document. Therefore, by examining the keyphrases in each returned hit, users can better predict the content of documents and the time spent on downloading and examining the irrelevant documents will be reduced substantially.