Using web archive for improving search engine results

  • Authors:
  • Adam Jatowt;Yukiko Kawai;Katsumi Tanaka

  • Affiliations:
  • National Institute of Information and Communications Technology, Kyoto, Japan;National Institute of Information and Communications Technology, Kyoto, Japan;National Institute of Information and Communications Technology, Kyoto, Japan

  • Venue:
  • APWeb'06 Proceedings of the 8th Asia-Pacific Web conference on Frontiers of WWW Research and Development
  • Year:
  • 2006

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Abstract

Search engines affect page popularity by making it difficult for currently unpopular pages to reach the top ranks in the search results. This is because people tend to visit and create links to the top-ranked pages. We have addressed this problem by analyzing the previous content of web pages. Our approach is based on the observation that the quality of this content greatly affects link accumulation and hence the final rank of the page. We propose detecting the content that has the greatest impact on the link accumulation process of top-ranked pages and using it for detecting high quality but unpopular web pages. Such pages would have higher ranks assigned.