Improvement of a Re-ranking Method for Web Search Based on Mutual Evaluation among Web Pages

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  • ARATANI Hirokazu
    Graduate School of Computer Science, chiba Institute of Technology
  • FUJITA Shigeru
    Department of Computer Science, Chiba Institute of Technology
  • SUGAWARA Kenji
    Department of Information and Network Science, Chiba Institute of Technology

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  • ウェブページの相互評価による再ランキング手法の改良
  • ウェブページ ノ ソウゴ ヒョウカ ニ ヨル サイランキング シュホウ ノ カイリョウ

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Abstract

We have studied ranking methods to retrieve web pages easily and precisely based on the mutual evaluation method we proposed. A problem in the method is that the precision of ranking of the retrieved web pages is still low when the percentage of pages which math the requirement in the set of them is under 15%. In this paper, we have improved the precision of it in the case mentioned above, introducing a heuristic function to evaluate the strength of match between a page and a requirement combining with a function to summarize texts included in pages to the conventional method we proposed. The improvement of the precision is validated by an objective experimental test which was proposed and developed in the third workshop on NTCIR. The result shows that the proposed ranking methods outputs better ranking of retrieved web pages than experiments of other ranking systems using the same test collection provided by the NTCIR, from the DCG's point of view.

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