Subsite retrieval: a novel concept for topic distillation

  • Authors:

  • Tao Qin;Tie-Yan Liu;Xu-Dong Zhang;Guang Feng;Wei-Ying Ma

  • Affiliations:

  • MSP Laboratory, Dept. Electronic Engineering, Tsinghua University, Beijing, P.R. China;Microsoft Research Asia, Beijing, P. R. China;MSP Laboratory, Dept. Electronic Engineering, Tsinghua University, Beijing, P.R. China;MSP Laboratory, Dept. Electronic Engineering, Tsinghua University, Beijing, P.R. China;Microsoft Research Asia, Beijing, P. R. China

  • Venue:
  • AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
  • Year:
  • 2005

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Abstract

Topic distillation is one of the main information needs when users search the Web. In previous approaches to topic distillation, the single page was treated as the basic searching unit. This strategy is inherited from general information retrieval, which has not fully utilized the structure information of the Web. In this paper, we propose a novel concept for topic distillation, named subsite retrieval, in which the basic searching unit is the subsite instead of the single page. As indicated by the name, the subsite is a subset of website, consisting of a structural collection of pages. The key of subsite retrieval is to extract effective features to represent a subsite by utilizing both the content in each page and the structural information in the subsite. Specifically, we propose a so-called PI algorithm for this purpose, which is based on the modeling of website growth. Testing on the topic distillation task of TREC 2003 and TREC 2004, subsite retrieval gets significant improvement of retrieval performance over the previous single page based methods.